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Sotiropoulou, G., J. Sedlar, M. Tjernström, M. D. Shupe, I. M. Brooks, and P. O. G. Persson. "The thermodynamic structure of summer Arctic stratocumulus and the dynamic coupling to the surface." Atmospheric Chemistry and Physics Discussions 14, no. 3 (2014): 3815–74. http://dx.doi.org/10.5194/acpd-14-3815-2014.
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Abstract. The vertical structure of Arctic low-level clouds and Arctic boundary layer is studied, using observations from ASCOS (Arctic Summer Cloud Ocean Study), in the central Arctic, in late summer 2008. Two general types of cloud structures are examined: the "neutrally-stratified" and "stably-stratified" clouds. Neutrally-stratified are mixed-phase clouds where radiative-cooling near cloud top produces turbulence that creates a cloud-driven mixed layer. When this layer mixes with the surface-generated turbulence, the cloud layer is coupled to the surface, whereas when such an interaction does not occur, it remains decoupled; the latter state is most frequently observed. The decoupled clouds are usually higher compared to the coupled; differences in thickness or cloud water properties between the two cases are however not found. The surface fluxes are also very similar for both states. The decoupled clouds exhibit a bimodal thermodynamic structure, depending on the depth of the sub-cloud mixed layer (SML): clouds with shallower SMLs are disconnected from the surface by weak inversions, whereas those that lay over a deeper SML are associated with stronger inversions at the decoupling height. Neutrally-stratified clouds generally precipitate; the evaporation/sublimation of precipitation often enhances the decoupling state. Finally, stably-stratified clouds are usually lower, geometrically and optically thinner, non-precipitating liquid-water clouds, not containing enough liquid to drive efficient mixing through cloud-top cooling.
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Sotiropoulou, G., J. Sedlar, M. Tjernström, M. D. Shupe, I. M. Brooks, and P. O. G. Persson. "The thermodynamic structure of summer Arctic stratocumulus and the dynamic coupling to the surface." Atmospheric Chemistry and Physics 14, no. 22 (2014): 12573–92. http://dx.doi.org/10.5194/acp-14-12573-2014.
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Abstract. The vertical structure of Arctic low-level clouds and Arctic boundary layer is studied, using observations from ASCOS (Arctic Summer Cloud Ocean Study), in the central Arctic, in late summer 2008. Two general types of cloud structures are examined: the "neutrally stratified" and "stably stratified" clouds. Neutrally stratified are mixed-phase clouds where radiative-cooling near cloud top produces turbulence that generates a cloud-driven mixed layer. When this layer mixes with the surface-generated turbulence, the cloud layer is coupled to the surface, whereas when such an interaction does not occur, it remains decoupled; the latter state is most frequently observed. The decoupled clouds are usually higher compared to the coupled; differences in thickness or cloud water properties between the two cases are however not found. The surface fluxes are also very similar for both states. The decoupled clouds exhibit a bimodal thermodynamic structure, depending on the depth of the sub-cloud mixed layer (SCML): clouds with shallower SCMLs are disconnected from the surface by weak inversions, whereas those that lay over a deeper SCML are associated with stronger inversions at the decoupling height. Neutrally stratified clouds generally precipitate; the evaporation/sublimation of precipitation often enhances the decoupling state. Finally, stably stratified clouds are usually lower, geometrically and optically thinner, non-precipitating liquid-water clouds, not containing enough liquid to drive efficient mixing through cloud-top cooling.
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Dagan, Guy, Ilan Koren, Orit Altaratz, and Reuven H. Heiblum. "Time-dependent, non-monotonic response of warm convective cloud fields to changes in aerosol loading." Atmospheric Chemistry and Physics 17, no. 12 (2017): 7435–44. http://dx.doi.org/10.5194/acp-17-7435-2017.
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Abstract. Large eddy simulations (LESs) with bin microphysics are used here to study cloud fields' sensitivity to changes in aerosol loading and the time evolution of this response. Similarly to the known response of a single cloud, we show that the mean field properties change in a non-monotonic trend, with an optimum aerosol concentration for which the field reaches its maximal water mass or rain yield. This trend is a result of competition between processes that encourage cloud development versus those that suppress it. However, another layer of complexity is added when considering clouds' impact on the field's thermodynamic properties and how this is dependent on aerosol loading. Under polluted conditions, rain is suppressed and the non-precipitating clouds act to increase atmospheric instability. This results in warming of the lower part of the cloudy layer (in which there is net condensation) and cooling of the upper part (net evaporation). Evaporation at the upper part of the cloudy layer in the polluted simulations raises humidity at these levels and thus amplifies the development of the next generation of clouds (preconditioning effect). On the other hand, under clean conditions, the precipitating clouds drive net warming of the cloudy layer and net cooling of the sub-cloud layer due to rain evaporation. These two effects act to stabilize the atmospheric boundary layer with time (consumption of the instability). The evolution of the field's thermodynamic properties affects the cloud properties in return, as shown by the migration of the optimal aerosol concentration toward higher values.
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Mol, Wouter, and Chiel van Heerwaarden. "Mechanisms of surface solar irradiance variability under broken clouds." Atmospheric Chemistry and Physics 25, no. 8 (2025): 4419–41. https://doi.org/10.5194/acp-25-4419-2025.
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Abstract. Surface solar irradiance variability is present under all broken clouds, but the patterns, magnitude of variability, and driving mechanisms vary greatly with cloud type. In this study, we performed numerical experiments to understand which main mechanisms drive surface solar irradiance (SSI) variations across a diverse set of observation-based cloud conditions. The results show that four mechanisms capture the essence. We find that for optically thin (τ<6) clouds, scattering in the forward direction (forward escape) dominates. In cloud fields with enough optically thin area, such as altocumulus, forward escape alone can drive areas of irradiance enhancement of over 50 % of clear-sky irradiance. For flat, optically thick clouds (τ>6), irradiance is instead scattered diffusely downward (downward escape), and (extreme) enhancements are thus found directly below the cloud. For vertically structured clouds, side escape dominates the domain-averaged diffuse irradiance enhancement until the sides become shaded by anvil clouds. Lastly, under optically thick cloud cover, surface albedo enhances radiative fluxes due to multiple scatterings between surface and cloud. This brightens shadows and contributes 10 % to 60 % of the total irradiance enhancement for low (0.2) to high (0.8) albedo. With these four mechanisms, we provide a framework for understanding the vast diversity and complexity found in surface solar irradiance and cloudiness. A next step is to apply this analysis to multi-layered cloud fields and non-isolated deep convective clouds.
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Hale, Jason S. "Amazon Cloud Drive forensic analysis." Digital Investigation 10, no. 3 (2013): 259–65. http://dx.doi.org/10.1016/j.diin.2013.04.006.
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Upesh, Kumar Rapolu. "Using SAP Analytics Cloud to Drive Data-Driven Decision-Making in Real-Time." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 11, no. 4 (2023): 1–6. https://doi.org/10.5281/zenodo.14850890.
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SAP Analytics Cloud (SAC) is a comprehensive cloud-based analytics solution that integrates business intelligence, planning, and predictive analytics to facilitate data-driven decision-making in real-time. SAP, a renowned leader in enterprise software, offers SAC to enable organizations to leverage data across various sources and visualize insights for informed decision-making. In the realm of modern cloud computing, SAC stands out by providing seamless data integration, robust analytics capabilities, and user-friendly interfaces. SAC empowers organizations by offering real-time analytics, which is crucial for agile and responsive decision-making. It enables users to create interactive dashboards, conduct advanced data exploration, and generate predictive models without extensive IT involvement. The real-time data processing capability of SAC ensures that decision-makers have access to the most current information, thus enhancing the quality and speed of business decisions. The potential effects of SAC in the cloud computing paradigm are substantial. It offers scalability, flexibility, and collaboration features that are essential for today's dynamic business environments. By harnessing the power of SAC, organizations can achieve a competitive edge through better resource allocation, performance optimization, and strategic planning. The integration of SAC with other cloud services further amplifies its advantages, making it a pivotal tool for driving data-driven decision-making in real-time.
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Samsuriah, Samsuriah. "Pelatihan Cloud Computing Sebagai Penyimpanan Data Pada Drive." Jurnal Ilmu Komputer dan Bisnis 13, no. 2 (2022): 75–82. http://dx.doi.org/10.47927/jikb.v13i2.324.
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Pengetahuan tentang cloud computing sebagai penyimpanan data pada drive dapat memberikan informasi yang lebih tentang definisi dan implementasi cloud. Isu dari cloud computing saat ini adalah efisiensi dan kelincahan dari sistem yang dimilikinya. Oleh sebab itu penggunaan cloud computing sangatlah penting terutama untuk menyimpan data-data dengan kemananan yang sangat baik. Tujuan dari kegiatan ini yakni untuk memberikan pengetahuan mengenai penggunaan dan manfaat dasar teknologi cloud computing pada penyimpanan data pada Drive bagi para peserta. Hasil dari penelitian ini adalah tercapainya tujuan dengan melihat dan terus melakukan pemantauan kepada peserta yang telah berhasil menggunakan cloud computing dalam pembelajaran. Dalam penggunaan cloud hingga saat ini peserta telah terbiasa dan tidak mengalami kesulitan.
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Munjala, Mahesh Babu. "Exploring Analytics in SAP S/4HANA Cloud: Capabilities, Integration, and Business Value." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem27868.
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With the accelerated adoption of modern cloud- based enterprise resource management (ERP) systems, organizations recognize the importance of integrated analytics capabilities to drive data driven business insights and gain a competitive edge. This study explores the real-time analytics architecture of SAP S/4HANA Cloud, a leading cloud ERP system, and its potential to improve decision-making and enhance operational excellence. Existing research has primarily focused on analytics in the conventional S/4HANA system. Thus, technical documentation, industry blogs, and implementation expertise are used to provide an overview of SAP S/4HANA Cloud’s analytics capabilities, including architecture, data modeling, extensibility, business value, and external integrations. Research shows that the SAP S/4HANA Cloud provides applications for monitoring KPIs, generating reports, visualizing data using embedded SAP Analytics Cloud (SAC), and seamless OData integration. Technology leaders will gain valuable perspectives on how modern cloud ERPs like S/4HANA Cloud, with their unified analytics capabilities drive faster response times to market changes and optimize costs through insights influencing the evolution of intelligent enterprise systems. Key Words: SAP S/4HANA Cloud, embedded analytics, embedded SAC, Cloud ERP, SAP HANA, S/4HANA Cloud analytics
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Lin, Jia-Lin, Taotao Qian, and Toshiaki Shinoda. "Stratocumulus Clouds in Southeastern Pacific Simulated by Eight CMIP5–CFMIP Global Climate Models." Journal of Climate 27, no. 8 (2014): 3000–3022. http://dx.doi.org/10.1175/jcli-d-13-00376.1.
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Abstract This study examines the stratocumulus clouds and associated cloud feedback in the southeast Pacific (SEP) simulated by eight global climate models participating in phase 5 of the Coupled Model Intercomparison Project (CMIP5) and Cloud Feedback Model Intercomparison Project (CFMIP) using long-term observations of clouds, radiative fluxes, cloud radiative forcing (CRF), sea surface temperature (SST), and large-scale atmosphere environment. The results show that the state-of-the-art global climate models still have significant difficulty in simulating the SEP stratocumulus clouds and associated cloud feedback. Comparing with observations, the models tend to simulate significantly less cloud cover, higher cloud top, and a variety of unrealistic cloud albedo. The insufficient cloud cover leads to overly weak shortwave CRF and net CRF. Only two of the eight models capture the observed positive cloud feedback at subannual to decadal time scales. The cloud and radiation biases in the models are associated with 1) model biases in large-scale temperature structure including the lack of temperature inversion, insufficient lower troposphere stability (LTS), and insufficient reduction of LTS with local SST warming, and 2) improper model physics, especially insufficient increase of low cloud cover associated with larger LTS. The two models that arguably do best at simulating the stratocumulus clouds and associated cloud feedback are the only ones using cloud-top radiative cooling to drive boundary layer turbulence.
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Ikhsan, Ali Nur, Raditya Sani Alifian, and Desri Nur Astri. "PELATIHAN PENGGUNAAN GOOGLE FORM DAN GOOGLE DRIVE UNTUK MENINGKATKAN KUALITAS PELAYANAN ADMINISTRASI DI DESA KARANGNANGKA." SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan 6, no. 3 (2022): 1199. http://dx.doi.org/10.31764/jpmb.v6i3.10069.
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ABSTRAKDampak adanya pandemic Covid-19 membuat perangkat desa harus menemukan cara melayani masyarakat dengan mudah dan aman, selain itu penyimpanan data masih menggunakan penyimpanan lokal dengan menggunakan flashdisk, hardisk sehingga berisiko data hilang dan terkena virus. Tim pengabdian masyarakat: Amikom Mitra Masyarakat (AMM) berencana memberikan pelatihan penggunaan Google Form dan Google Drive. Pelatihan Google Form untuk dapat dimanfaatkan perangkat desa dalam melayani masyarakat di bagian administrasi, sedangkan Pelatihan Google Drive untuk dapat dimanfaatkan perangkat desa dalam menyimpan dan membackup data secara cloud sehingga dapat diakses kapanpun dan dimanapun. Metode yang dilakukan dalam pengabdian masyarakat ini yaitu penjelasan materi dilanjutkan dengan pelatihan dan praktik langsung pada masing-masing peserta. Kegiatan pelatihan ini berjalan dengan baik dan langsung dipraktikan oleh perangkat desa untuk membantu pekerjaan administrasi di desa. Kata kunci: pelatihan; pengabdian kepada masyarakat; google; form; drive; cloud. ABSTRACTThe impact of the Covid-19 pandemic has forced village officials to find ways to serve the community easily and safely, besides that data storage is still using local storage using flash drives and hard drives, so there is a risk of data being lost and being exposed to viruses. Community service team: Amikom Mitra Masyarakat (AMM) plans to provide training on the use of Google Forms and Google Drive. The Google Form training can be used by village officials in serving the community in the administration section, while the Google Drive Training can be used by village officials to store and back up data in the cloud so that it can be accessed anytime and anywhere. The method used in this community service is the explanation of the material followed by training and direct practice for each participant. This training activity went well and was immediately put into practice by village officials to help with administrative work in the village. Keywords: training; community service; google; form; drive; cloud.
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Chinazor Prisca Amajuoyi, Luther Kington Nwobodo, and Mayokun Daniel Adegbola. "Transforming business scalability and operational flexibility with advanced cloud computing technologies." Computer Science & IT Research Journal 5, no. 6 (2024): 1469–87. http://dx.doi.org/10.51594/csitrj.v5i6.1248.
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In the rapidly evolving landscape of digital transformation, cloud computing has emerged as a pivotal technology enabling businesses to achieve unparalleled scalability and operational flexibility. This review explores the transformative impact of advanced cloud computing technologies on business operations, highlighting key innovations and their implications for organizational growth and efficiency. Cloud computing offers a dynamic and scalable environment where resources can be provisioned and managed on-demand, allowing businesses to respond swiftly to changing market conditions and customer demands. By leveraging cloud infrastructure, companies can scale their operations seamlessly without the need for significant upfront investments in physical hardware. This flexibility not only reduces capital expenditure but also enhances the ability to innovate and adapt in a competitive marketplace. Advanced cloud technologies, such as multi-cloud and hybrid cloud solutions, further augment operational flexibility by enabling organizations to optimize their IT environments. Multi-cloud strategies allow businesses to distribute workloads across multiple cloud providers, mitigating the risks associated with vendor lock-in and ensuring high availability and redundancy. Hybrid cloud solutions, which integrate on-premises infrastructure with public and private clouds, provide a balanced approach to managing sensitive data and workloads while benefiting from the scalability of the cloud. Moreover, cloud-native technologies like containerization and serverless computing have revolutionized application development and deployment. Containers encapsulate applications and their dependencies, ensuring consistency across different computing environments and facilitating rapid deployment. Serverless computing reviews the underlying infrastructure, allowing developers to focus solely on code, thus accelerating the development cycle and reducing operational overhead. The integration of advanced analytics and artificial intelligence (AI) with cloud computing further enhances business capabilities. Cloud platforms offer robust analytics tools and AI services that can process vast amounts of data in real-time, providing actionable insights and enabling predictive decision-making. This integration empowers businesses to optimize operations, improve customer experiences, and drive strategic initiatives with data-driven precision. In conclusion, advanced cloud computing technologies are instrumental in transforming business scalability and operational flexibility. By harnessing the power of the cloud, organizations can achieve greater agility, cost efficiency, and innovation, positioning themselves for sustained growth and competitive advantage in the digital age. As cloud technologies continue to evolve, their potential to redefine business operations and drive economic value will only expand, making cloud adoption a critical imperative for modern enterprises. Keywords: Operational Flexibility, Transforming, Business Scalability, Advanced, Cloud Computing Technologies.
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Henderson, David S., Jason A. Otkin, and John R. Mecikalski. "Evaluating Convective Initiation in High-Resolution Numerical Weather Prediction Models Using GOES-16 Infrared Brightness Temperatures." Monthly Weather Review 149, no. 4 (2021): 1153–72. http://dx.doi.org/10.1175/mwr-d-20-0272.1.
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AbstractThe evolution of model-based cloud-top brightness temperatures (BT) associated with convective initiation (CI) is assessed for three bulk cloud microphysics schemes in the Weather Research and Forecasting Model. Using a composite-based analysis, cloud objects derived from high-resolution (500 m) model simulations are compared to 5-min GOES-16 imagery for a case study day located near the Alabama–Mississippi border. Observed and simulated cloud characteristics for clouds reaching CI are examined by utilizing infrared BTs commonly used in satellite-based CI nowcasting methods. The results demonstrate the ability of object-based verification methods with satellite observations to evaluate the evolution of model cloud characteristics, and the BT comparison provides insight into a known issue of model simulations producing too many convective cells reaching CI. The timing of CI from the different microphysical schemes is dependent on the production of ice in the upper levels of the cloud, which typically occurs near the time of maximum cloud growth. In particular, large differences in precipitation formation drive differences in the amount of cloud water able to reach upper layers of the cloud, which impacts cloud-top glaciation. Larger cloud mixing ratios are found in clouds with sustained growth leading to more cloud water lofted to the upper levels of the cloud and the formation of ice. Clouds unable to sustain growth lack the necessary cloud water needed to form ice and grow into cumulonimbus. Clouds with slower growth rates display similar BT trends as clouds exhibiting growth, which suggests that forecasting CI using geostationary satellites might require additional information beyond those derived at cloud top.
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Onabanjo A., Elizabeth. "Digital Transformation: The impact of AI on Cloud Transformation." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 5, no. 1 (2024): 174–83. http://dx.doi.org/10.60087/jaigs.v5i1.188.
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The rapid advancement of Artificial Intelligence (AI) has significantly influenced the landscape of digital transformation, particularly within the realm of cloud computing. This paper explores the symbiotic relationship between AI and cloud transformation, highlighting how AI-driven technologies enhance cloud infrastructure, optimize resource management, and drive innovation across industries. The integration of AI in cloud services has led to the development of more efficient, scalable, and secure cloud solutions, enabling businesses to achieve greater agility and competitiveness. This study examines the key benefits and challenges associated with the AI-cloud synergy, providing insights into future trends and the strategic implications for organizations embarking on their digital transformation journeys.
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Parag, Bhardwaj. "The Role of Leadership in Establishing a Cloud Center of Excellence (CCoE)." International Journal of Leading Research Publication 3, no. 6 (2022): 1–8. https://doi.org/10.5281/zenodo.14769697.
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In today's digital age, the utilization of cloud technology has become increasingly prevalent in organizations of all sizes. A Cloud Center of Excellence (CCoE) has emerged as a strategic approach to drive cloud adoption and ensure governance, security, and compliance in the cloud environment. The success of a CCoE, however, heavily relies on effective leadership that can set the vision, build the team, and drive the transformation towards cloud maturity. Establishing a Cloud Center of Excellence (CCoE) is a strategic initiative undertaken by organizations to manage cloud adoption effectively, ensure governance, and optimize cloud resources. This research paper explores the pivotal role of leadership in establishing a CCoE, analyzing the various leadership styles, strategies, and challenges faced in the process. By examining case studies and best practices, this paper aims to provide a comprehensive understanding of how effective leadership can drive the successful implementation and operation of a CCoE, ultimately contributing to organizational growth and innovation.
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Hariyadi, Dedy, Imam Puji Santoso, and Ramadhana Saputra. "IMPLEMENTASI PROTEKSI CLIENT-SIDE PADA PRIVATE CLOUD STORAGE NEXTCLOUD." Jurnal Manajemen Informatika dan Sistem Informasi 2, no. 1 (2019): 16. http://dx.doi.org/10.36595/misi.v2i1.65.
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Saat ini hampir setiap perangkat terhubung dengan teknologi komputasi awan. Teknologi komputasi awan yang menawarkan layanan menarik adalah Cloud Storage seperti Google Drive, Dropbox, One Drive, Mega, dan lain-lain. Teknologi Cloud Storage semacam itu dapat diterapkan di lingkungan private atau on-premise. Peranti lunak Cloud Storage yang dapat diinstall di lingkungan private diantaranya, OwnCloud, Nextcloud, SeaFile, dan lain-lain. Implementasi Cloud Storage perlu diwaspadai karena memiliki celah keamanan saat transmisi data dari client ke server atau sebaliknya dan tidak terproteksinya berkas yang tersimpan pada Cloud Storage server. Pada penelitian ini menunjukkan hasil pengujian kerentanan menyimpan berkas dan direktori di penyedia Cloud Storage berserta memberikan solusi mengatasi keamanan tersebut.
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Mullens, Elijah, Catherine Zucker, Claire E. Murray, and Rowan Smith. "Characterizing the 3D Structure of Molecular Cloud Envelopes in the Cloud Factory Simulations." Astrophysical Journal 966, no. 1 (2024): 127. http://dx.doi.org/10.3847/1538-4357/ad306a.
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Abstract We leverage recent numerical simulations of highly resolved star-forming regions in a Milky Way–like galaxy to explore the nature of extended gaseous envelopes around molecular clouds. We extract a sample of two dozen star-forming clouds from the feedback-dominated suite of Cloud Factory simulations. With the goal of exploring the 3D thermal and chemical structure of the gas, we measure and fit the clouds’ radial profiles with multiple tracers, including n H I , n H 2 , n H tot , n CO, and gas temperature. We find that while solar neighborhood clouds recently detected via 3D dust mapping have radially symmetric, low-density envelopes that extend ∼10–15 pc, the simulated cloud envelopes are primarily radially asymmetric with low-density envelopes that extend only ∼2–3 pc. One potential explanation for the absence of extended envelopes in the simulated clouds may be the lack of magnetic fields, while a stronger local feedback prescription compared to solar neighborhood conditions may drive the radially asymmetric cloud morphologies. We make the pipeline used to extract and characterize the radial profiles of the clouds publicly available, which can be used in complementary and future simulations to shed additional light on the key physics shaping the formation and evolution of star-forming structures in the Milky Way.
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Handayani, Fitri. "PENGGUNAAN CLOUD COMPUTING SEBAGAI KNOWLEDGE SHARING PUSTAKAWAN DI PERPUSTAKAAN." Shaut Al-Maktabah : Jurnal Perpustakaan, Arsip dan Dokumentasi 11, no. 2 (2020): 152–69. http://dx.doi.org/10.37108/shaut.v11i2.217.
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Makalah ini memberikan deskripsi konseptual dan teoritis tentang knowledge sharing dengan cloud computing di Perpustakaan. Knowledge sharing diperlukan oleh pustakawan dalam meningkatkan layanan kepada pengguna digital saat ini. Pustakawan dapat melakukan knowledge sharing melalui cloud computing yang menyediakan penyimpanan berbagai bentuk penyimpanan materi digital di Perpustakaan. Salah satu sistem penyedia cloud computing yang dapat digunakan di Perpustakaan adalah google drive. Hal mini disebabkan karena penguasaan teknologi penyimpanan cloud (cloud computing) seperti salah satu contoh google drive menjadi keahlian yang menguntungkan bagi pustakawan dalam memberikan layanan prima kepada pengguna di era digitalisasi yang berkembang pesat dewasa ini.
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Caldwell, Peter M., Yunyan Zhang, and Stephen A. Klein. "CMIP3 Subtropical Stratocumulus Cloud Feedback Interpreted through a Mixed-Layer Model." Journal of Climate 26, no. 5 (2013): 1607–25. http://dx.doi.org/10.1175/jcli-d-12-00188.1.
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Abstract Large-scale conditions over subtropical marine stratocumulus areas are extracted from global climate models (GCMs) participating in phase 3 of the Coupled Model Intercomparison Project (CMIP3) and used to drive an atmospheric mixed-layer model (MLM) for current and future climate scenarios. Cloud fraction is computed as the fraction of days where GCM forcings produce a cloudy equilibrium MLM state. This model is a good predictor of cloud fraction and its temporal variations on time scales longer than 1 week but overpredicts liquid water path and entrainment. GCM cloud fraction compares poorly with observations of mean state, variability, and correlation with estimated inversion strength (EIS). MLM cloud fraction driven by these same GCMs, however, agrees well with observations, suggesting that poor GCM low cloud fraction is due to deficiencies in cloud parameterizations rather than large-scale conditions. However, replacing the various GCM cloud parameterizations with a single physics package (the MLM) does not reduce intermodel spread in low-cloud feedback because the MLM is more sensitive than the GCMs to existent intermodel variations in large-scale forcing. This suggests that improving GCM low cloud physics will not by itself reduce intermodel spread in predicted stratocumulus cloud feedback. Differences in EIS and EIS change between GCMs are found to be a good predictor of current-climate MLM cloud amount and future cloud change. CMIP3 GCMs predict a robust increase of 0.5–1 K in EIS over the next century, resulting in a 2.3%–4.5% increase in MLM cloudiness. If EIS increases are real, subtropical stratocumulus may damp global warming in a way not captured by the GCMs studied.
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Muttaqin, Irham Khairul, Lanina Astrid, Aditya Akbar Prasetyo, Nabilah Fitria Kamaludin, and Azizah Ghina. "Digital Cloud Storage: The Best Cloud Drive Analysis for Digital Business Purposes." Indonesian Journal of Digital Business 1, no. 2 (2021): 18–22. http://dx.doi.org/10.17509/ijdb.v1i2.34539.
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The economy has been transforming throughout the years, and internet development has brought something new into the business world. With the rapid grown of technology, the economy and technology are inseparable. E-commerce was an example of an economy and technology. A huge data stream needed to be stored, and make physical storage now is outdated. Cloud storage was the option for storing and securing the company data. It has many benefits for the company for using cloud storage. The research methods in this paper was a literature research journal review. By comparing various cloud storage, it was found that mega cloud storage was a suitable option for many businesses from our related journal and other literature. Mega was encrypted and can store many data stream safely that the company needed.
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Cho, Seoungjae, Jonghyun Kim, Warda Ikram, et al. "Sloped Terrain Segmentation for Autonomous Drive Using Sparse 3D Point Cloud." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/582753.
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A ubiquitous environment for road travel that uses wireless networks requires the minimization of data exchange between vehicles. An algorithm that can segment the ground in real time is necessary to obtain location data between vehicles simultaneously executing autonomous drive. This paper proposes a framework for segmenting the ground in real time using a sparse three-dimensional (3D) point cloud acquired from undulating terrain. A sparse 3D point cloud can be acquired by scanning the geography using light detection and ranging (LiDAR) sensors. For efficient ground segmentation, 3D point clouds are quantized in units of volume pixels (voxels) and overlapping data is eliminated. We reduce nonoverlapping voxels to two dimensions by implementing a lowermost heightmap. The ground area is determined on the basis of the number of voxels in each voxel group. We execute ground segmentation in real time by proposing an approach to minimize the comparison between neighboring voxels. Furthermore, we experimentally verify that ground segmentation can be executed at about 19.31 ms per frame.
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Kamal, Syamsul, Yuli Mardi, and Windy Claudia Mareti. "SOCIALIZATION OF THE USE OF GOOGLE DRIVE AT PUSKESMAS AMBACANG KOTA PADANG." Abdi Dosen : Jurnal Pengabdian Pada Masyarakat 7, no. 3 (2023): 1124. http://dx.doi.org/10.32832/abdidos.v7i3.1962.
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Computer technology has developed significantly, from Windows application programs to increasingly sophisticated data storage media. In the past, we usually stored data using diskettes with small storage sizes, then Flashdisk and Hardisk appeared, until the entry of a new era, namely Cloud storage technology. Cloud technology itself has broad functions, one of which is as an online data storage medium. Like the familiar cloud-based data storage service, Google Drive can store up to 15GB of data for free. In addition to data storage like Google Drive, there is also cloud data storage, such as DropBox, OneDrive, and others. By using Google Drive, users experience many benefits, including being able to share data with those who need data. There is no need to store files on a flash disk or hard disk, where our files are directly stored on Google servers, which can be used at any time, modified. In using Google Drive, many Ambacang Health Center staff do not understand Google Drive. The purpose of holding this Community Service is so that all staff can understand Google Drive how to use it and its features, the results achieved are that all participants understand and understand the use of Google Drive. This socialization has been carried out 2 times, on May 27 and June 17, 2023, with lecture and discussion methods.
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Bojja, Karthik. "Integrated Approach for AI-Powered Data Integrity and Secure Interpretation Via Cloud Web Services." Scholars Journal of Engineering and Technology 13, no. 05 (2025): 314–19. https://doi.org/10.36347/sjet.2025.v13i05.001.
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The phenomenal growth of Artificial intelligence (AI) has remarkable influence with broad way of w3c (world wide web communication), and in particular with cloud era of realm. This work shows significant relation among cloud and AI as bridge, exposing with ML-driven trends to improve webservice phenomena. Optimization and available resources in perspective of management is to drive to create new trends among various platforms. The scalable solutions among AI & ML and cloud is led to motivate more secure, innovative, scalable solutions which can lead to more business agilities and competitiveness. This research examines the significant challenges and benefits to achieve significant secured data sharing from cloud to various devices as AI – Cloud – ML is sequence to lead to send most great outputs with implications.
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Sreenivasa, Rao Sola. "ERP Cloud and Procurement: Unlocking New Levels of Automation and Integration." International Journal of Leading Research Publication 1, no. 1 (2020): 1–14. https://doi.org/10.5281/zenodo.15259058.
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The dynamics of enterprise resource planning (ERP) systems have revolutionized the manner in which organizations manage procurement processes. Oracle ERP Cloud, being one of the leading cloud-based software solutions, has ushered in advanced features that enhance procurement activities via automation, integration, and artificial intelligence (AI)-informed decision-making. This journal addresses the significant contribution of Oracle ERP Cloud applications to optimizing procurement strategies through business ability to automate procurement processes, reduce operation costs, and accelerate procurement cycle times. Levying on automated processes, AI-driven insights, and real-time data integration, companies can make better and faster procurement decisions. The journal points out meaningful features of Oracle ERP Cloud that drive automation, such as supplier collaboration portals, intelligent demand forecasting, and automated purchase order processing. In addition, the integration of machine learning and AI tools in Oracle's cloud platform enables predictive analytics, which allows procurement teams to identify potential disruptions, enhance the performance of suppliers, and steer clear of risks. From industry case studies and prior research, based on developments up to October 2020, this paper provides the actual benefits of deploying ERP cloud solutions for procurement, such as improved supplier relationship management, cost advantages, and improved decision-making capabilities. With more businesses embracing digital transformation, Oracle ERP Cloud is a major driver of efficient, integrated, and low-cost procurement operations, setting new benchmarks in procurement automation and innovation.
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Burkhart, Blakesley, Shmuel Bialy, Daniel Seifried, et al. "The Molecular Cloud Life Cycle. II. Formation and Destruction of Molecular Clouds Diagnosed via H2 Fluorescent Emission." Astrophysical Journal 975, no. 2 (2024): 269. http://dx.doi.org/10.3847/1538-4357/ad75f8.
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Abstract Molecular hydrogen (H2) formation and dissociation are key processes that drive the gas life cycle in galaxies. Using the SImulating the LifeCycle of Molecular Clouds zoom-in simulation suite, we explore the utility of future observations of H2 dissociation and formation for tracking the life cycle of molecular clouds. The simulations used in this work include nonequilibrium H2 formation, stellar radiation, sink particles, and turbulence. We find that at early times in the cloud evolution H2 formation rapidly outpaces dissociation and molecular clouds build their mass from the atomic reservoir in their environment. Rapid H2 formation is also associated with a higher early star formation rate. For the clouds studied here, H2 is strongly out of chemical equilibrium during the early stages of cloud formation but settles into a bursty chemical steady state about 2 Myr after the first stars form. At the latest stage of cloud evolution, dissociation outweighs formation and the clouds enter a dispersal phase. We discuss how theories of the molecular cloud life cycle and star formation efficiency may be distinguished with observational measurements of H2 fluorescence with a space-based high-resolution far-UV spectrometer, such as the proposed Hyperion and Eos NASA Explorer missions. Such missions would enable measurements of the H2 dissociation and formation rates, which we demonstrate can be connected to different phases in a molecular cloud’s star-forming life, including cloud building, rapidly star forming, H2 chemical equilibrium, and cloud destruction.
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Liu, Ji. "Optimization and Management in Order to Drive Targeted Networking Memory Database." Applied Mechanics and Materials 727-728 (January 2015): 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.
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In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.
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Cohen, Maureen, James Holmes, Stephen Lewis, and Manish Patel. "Planetary Waves Drive Horizontal Variations in Trace Species in the Venus Deep Atmosphere." Planetary Science Journal 5, no. 10 (2024): 219. http://dx.doi.org/10.3847/psj/ad76a8.
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Abstract The deep atmosphere of Venus remains mysterious because of the planet’s high, optically thick cloud decks. While phenomena such as the observed decadal fluctuations in sulfur dioxide abundance above the clouds could shed light on conditions below, poor understanding of vertical and horizontal transport limits such an approach. Nightside spectral windows permit observation of trace gas species in the lower atmosphere, but incomplete understanding of the circulation makes the distribution of these species challenging to interpret. We performed two simulations with the Venus Planetary Climate Model including an age of air calculation to investigate tracer transport (a) between the surface and the stagnant lower haze layer and (b) between the cloud deck and the observable upper atmosphere. We find a timescale on the order of many decades for surface-to-lower haze layer transport and ∼1.4 yr from the lowest cloud deck to 101 km. The extreme slowness of transport from the surface to the clouds makes it unlikely that compositional variability at the surface could affect the upper atmosphere sulfur dioxide abundance on observed timescales. Planetary-scale Rossby waves with a zonal wavenumber of 1 in both hemispheres are found to circumnavigate the planet in the deep atmosphere in 36 Earth days. These waves are associated with gyres that collect tracers and areas of upwelling that transport them to higher altitudes, leading to significantly younger air at polar latitudes in the altitude range of 25–45 km. The existence of chemically enhanced traveling Rossby gyres could explain the observed deep atmosphere carbon monoxide variability.
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Kittel, Christoph, Charles Amory, Stefan Hofer, et al. "Clouds drive differences in future surface melt over the Antarctic ice shelves." Cryosphere 16, no. 7 (2022): 2655–69. http://dx.doi.org/10.5194/tc-16-2655-2022.
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Abstract. Recent warm atmospheric conditions have damaged the ice shelves of the Antarctic Peninsula through surface melt and hydrofracturing and could potentially initiate future collapse of other Antarctic ice shelves. However, model projections with similar greenhouse gas scenarios suggest large differences in cumulative 21st-century surface melting. So far it remains unclear whether these differences are due to variations in warming rates in individual models or whether local feedback mechanisms of the surface energy budget could also play a notable role. Here we use the polar-oriented regional climate model MAR (Modèle Atmosphérique Régional) to study the physical mechanisms that would control future surface melt over the Antarctic ice shelves in high-emission scenarios RCP8.5 and SSP5-8.5. We show that clouds enhance future surface melt by increasing the atmospheric emissivity and longwave radiation towards the surface. Furthermore, we highlight that differences in meltwater production for the same climate warming rate depend on cloud properties and particularly cloud phase. Clouds containing a larger amount of supercooled liquid water lead to stronger melt, subsequently favouring the absorption of solar radiation due to the snowmelt–albedo feedback. As liquid-containing clouds are projected to increase the melt spread associated with a given warming rate, they could be a major source of uncertainties in projections of the future Antarctic contribution to sea level rise.
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Ruppert, James H., and Richard H. Johnson. "Diurnally Modulated Cumulus Moistening in the Preonset Stage of the Madden–Julian Oscillation during DYNAMO*." Journal of the Atmospheric Sciences 72, no. 4 (2015): 1622–47. http://dx.doi.org/10.1175/jas-d-14-0218.1.
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Abstract Atmospheric soundings, radar, and air–sea flux measurements collected during Dynamics of the Madden–Julian Oscillation (DYNAMO) are employed to study MJO convective onset (i.e., the transition from shallow to deep convection) in the tropical Indian Ocean. The findings indicate that moistening of the low–midtroposphere during the preonset stage of the MJO is achieved by simultaneous changes in the convective cloud population and large-scale circulation. Namely, cumuliform clouds deepen and grow in areal coverage as the drying by large-scale subsidence and horizontal (westerly) advection wane. The reduction of large-scale subsidence is tied to the reduction of column radiative cooling during the preonset stage, which ultimately links back to the evolving cloud population. While net column moistening in the preonset stage is tied to large-scale circulation changes, a new finding of this study is the high degree to which the locally driven diurnal cycle invigorates convective clouds and cumulus moistening each day. This diurnal cycle is manifest in a daytime growth of cumulus clouds (in both depth and areal coverage) in response to oceanic diurnal warm layers, which drive a daytime increase of the air–sea fluxes of heat and moisture. This diurnally modulated convective cloud field exhibits prominent mesoscale organization in the form of open cells and horizontal convective rolls. It is hypothesized that the diurnal cycle and mesoscale cloud organization characteristic of the preonset stage of the MJO represent two manners in which local processes promote more vigorous daily-mean column moistening than would otherwise occur.
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Mandal, Ankush, Christoph Federrath, and Bastian Körtgen. "Molecular cloud formation by compression of magnetized turbulent gas subjected to radiative cooling." Monthly Notices of the Royal Astronomical Society 493, no. 3 (2020): 3098–113. http://dx.doi.org/10.1093/mnras/staa468.
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ABSTRACT Complex turbulent motions of magnetized gas are ubiquitous in the interstellar medium (ISM). The source of this turbulence, however, is still poorly understood. Previous work suggests that compression caused by supernova shockwaves, gravity, or cloud collisions, may drive the turbulence to some extent. In this work, we present three-dimensional (3D) magnetohydrodynamic (MHD) simulations of contraction in turbulent, magnetized clouds from the warm neutral medium of the ISM to the formation of cold dense molecular clouds, including radiative heating and cooling. We study different contraction rates and find that observed molecular cloud properties, such as the temperature, density, Mach number, and magnetic field strength, and their respective scaling relations, are best reproduced when the contraction rate equals the turbulent turnover rate. In contrast, if the contraction rate is significantly larger (smaller) than the turnover rate, the compression drives too much (too little) turbulence, producing unrealistic cloud properties. We find that the density probability distribution function evolves from a double lognormal representing the two-phase ISM, to a skewed, single lognormal in the dense, cold phase. For purely hydrodynamical simulations, we find that the effective driving parameter of contracting cloud turbulence is natural to mildly compressive (b ∼ 0.4–0.5), while for MHD turbulence, we find b ∼ 0.3–0.4, i.e. solenoidal to naturally mixed. Overall, the physical properties of the simulated clouds that contract at a rate equal to the turbulent turnover rate, indicate that large-scale contraction may explain the origin and evolution of turbulence in the ISM.
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Rahul, Deb Chakladar. "How to be a Cloud data driven insurer." European Journal of Advances in Engineering and Technology 7, no. 1 (2020): 46–48. https://doi.org/10.5281/zenodo.13353873.
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This paper focuses on the transformative journey of insurance companies becoming data-driven organizations. It highlights the importance of rapidly interpreting data to address challenges such as claims inflation and fraud, and to innovate products and pricing models. Emphasizing the role of real-time advanced analytics, AI, and ML, the paper illustrates how these technologies facilitate informed decision-making, helping insurers remain competitive and profitable. It also explores the inefficiencies of traditional on-premises data management and advocates for cloud migration. Furthermore, the paper delves into dismantling data silos, fostering a culture of data- driven decision-making, and leveraging seamless data flow to enhance customer experiences and drive innovation.
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Morales Betancourt, R., D. Lee, L. Oreopoulos, Y. C. Sud, D. Barahona, and A. Nenes. "Sensitivity of cirrus and mixed-phase clouds to the ice nuclei spectra in McRAS-AC: single column model simulations." Atmospheric Chemistry and Physics 12, no. 22 (2012): 10679–92. http://dx.doi.org/10.5194/acp-12-10679-2012.
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Abstract. The salient features of mixed-phase and ice clouds in a GCM cloud scheme are examined using the ice nucleation parameterizations of Liu and Penner (LP) and Barahona and Nenes (BN). The performance of both parameterizations was assessed in the GEOS-5 AGCM using the McRAS-AC cloud microphysics framework in single column mode. Four dimensional assimilated data from the intensive observation period of ARM TWP-ICE campaign was used to drive the fluxes and lateral forcing. Simulation experiments were established to test the impact of each parameterization in the resulting cloud fields. Three commonly used IN spectra were utilized in the BN parameterization to describe the availability of IN for heterogeneous ice nucleation. The results showed large similarities in the cirrus cloud regime between all the schemes tested, in which ice crystal concentrations were within a factor of 10 regardless of the parameterization used. In mixed-phase clouds there were some persistent differences in cloud particle number concentration and size, as well as in cloud fraction, ice water mixing ratio, and ice water path. Contact freezing in the simulated mixed-phase clouds contributed to the effective transfer of liquid to ice, so that on average, the clouds were fully glaciated at T 260 K, irrespective of the ice nucleation parameterization used. Comparison of simulated ice water path to available satellite derived observations were also performed, finding that all the schemes tested with the BN parameterization predicted average values of IWP within ±15% of the observations.
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Zhang, Jianhao, Xiaoli Zhou, Tom Goren, and Graham Feingold. "Albedo susceptibility of northeastern Pacific stratocumulus: the role of covarying meteorological conditions." Atmospheric Chemistry and Physics 22, no. 2 (2022): 861–80. http://dx.doi.org/10.5194/acp-22-861-2022.
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Abstract. Quantification of the radiative adjustment of marine low clouds to aerosol perturbations, regionally and globally, remains the largest source of uncertainty in assessing current and future climate. One of the important steps towards quantifying the role of aerosol in modifying cloud radiative properties is to quantify the susceptibility of cloud albedo and liquid water path (LWP) to perturbations in cloud droplet number concentration (Nd). We use 10 years of spaceborne observations from the polar-orbiting Aqua satellite to quantify the albedo susceptibility of marine low clouds to Nd perturbations over the northeast (NE) Pacific stratocumulus (Sc) region. Mutual information analysis reveals a dominating control of cloud state (e.g., LWP and Nd) on low-cloud albedo susceptibility, relative to the meteorological states that drive these cloud states. Through a LWP–Nd space decomposition of albedo susceptibilities, we show clear separation among susceptibility regimes (brightening or darkening), consistent with previously established mechanisms through which aerosol modulates cloud properties. These regimes include (i) thin non-precipitating clouds (LWP < 55 g m−2) that exhibit brightening (occurring 37 % of the time), corresponding to the Twomey effect; (ii) thicker non-precipitating clouds, corresponding to entrainment-driven negative LWP adjustments that manifest as a darkening regime (36 % of the time); and (iii) another brightening regime (22 % of the time) consisting of mostly precipitating clouds, corresponding to precipitation-suppression LWP positive adjustments. Overall, we find an annual-mean regional low-cloud brightening potential of 20.8±2.68 W m−2 ln(Nd)−1, despite an overall negative LWP adjustment for non-precipitating marine stratocumulus, owing to the high occurrence of the Twomey–brightening regime. Over the NE Pacific, clear seasonal covariabilities among meteorological factors related to the large-scale circulation are found to play an important role in grouping conditions favorable for each susceptibility regime. When considering the covarying meteorological conditions, our results indicate that for the northeastern Pacific stratocumulus, clouds that exhibit the strongest brightening potential occur most frequently within shallow marine boundary layers over a cool ocean surface with a stable atmosphere and a dry free troposphere above. Clouds that exhibit a darkening potential associated with negative LWP adjustments occur most frequently within deep marine boundary layers in which the atmospheric instability and the ocean surface are not strong and warm enough to produce frequent precipitation. Cloud brightening associated with warm-rain suppression is found to preferably occur either under unstable atmospheric conditions or humid free-tropospheric conditions that co-occur with a warm ocean surface.
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Mohammad Afghanul Khair, Mohammed Misbahul Khair, Nusrat Shaheen, and Dr. Neeraj Saxena. "Creating a Culture of Innovation: Leveraging Oracle HCM Cloud's Design Thinking and AI-Driven Ideation Tools for HR-Led Innovation." International Journal for Research Publication and Seminar 16, no. 1 (2025): 99–115. https://doi.org/10.36676/jrps.v16.i1.37.
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In the evolving business landscape, Human Resources (HR) is increasingly recognized as a strategic driver of innovation rather than just an administrative function. Oracle HCM Cloud offers a suite of tools that integrate design thinking and artificial intelligence (AI) to foster a culture of continuous innovation within organizations. By leveraging AI-driven ideation tools, HR can identify emerging trends, enhance employee engagement, and optimize talent management strategies. Design thinking principles embedded within Oracle HCM Cloud facilitate user-centric problem-solving, enabling HR leaders to co-create solutions that address workforce challenges effectively. This paper explores how Oracle HCM Cloud’s AI-powered analytics, sentiment analysis, and predictive modeling contribute to strategic HR decision-making. Furthermore, we discuss the role of collaborative digital workspaces and crowdsourcing platforms in harnessing employee creativity for business growth. The integration of AI and design thinking into HR processes empowers organizations to move beyond conventional workforce management and embrace data-driven, human-centric innovation. Through case studies and real-world applications, we highlight the transformative potential of Oracle HCM Cloud in fostering an innovation-driven culture. By adopting these advanced tools, HR departments can not only enhance operational efficiency but also drive sustainable business success by continuously evolving in response to workforce dynamics and market changes.
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Muin, Agus Alim, Erfan Karyadiputra, and Indu Indah Purnomo. "PELATIHAN PEMANFAATAN SARANA TEKNOLOGI INFORMASI DAN KOMUNIKASI DENGAN PENYIMPANAN BERBASIS CLOUDCLOUD DI SDN SEMANGAT DALAM 1." SELAPARANG Jurnal Pengabdian Masyarakat Berkemajuan 5, no. 1 (2021): 624. http://dx.doi.org/10.31764/jpmb.v5i1.5927.
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ABSTRAKPengabdian kepada masyarakat ini bertujuan membantu guru dan para staff yang masih mengalami kesulitan dalam hal memanfaatkan media penyimpanan berbasis cloud di SDN Semangat Dalam 1 Kab. Batola Kalimantan Selatan,untuk permasalahan pengabdian kepada masyarakat ini memfokuskan bagaimana para guru dan staff di sekolahan SDN Semangat Dalam 1 dapat mahir dalam menggunakan media penyimpanan seperti google drive,dropbox,one drive dan icloud untuk membantu proses pembelajaran serta menjadi media penyimpanan yang efektif dan efisien saat ini. Dengan dilakukannya pengabdian masyarakat ini membantu para guru dan staff di sekolahan SDN Semangat Dalam 1 memanfaatkan media penyimpanan berbasis cloud sehingga menjadi alternatif untuk penunjang proses pembelajaran dan proses pekerjaan. Kata kunci: cloud; guru; media penyimpanan; pelatihan. ABSTRACTThis community service aims to help teachers and staff who are still experiencing difficulties in terms of utilizing cloud-based storage media in SDN Semangat Dalam 1 Kab. Batola South Kalimantan, for community service problems this focuses on how teachers and staff in SDN Semangat Dalam 1 schools can be proficient in using storage media such as google drive, dropbox,one drive and icloud to help the learning process as well as become an effective and efficient storage medium today. With this community service helps teachers and staff in SDN Semangat Dalam 1 schools utilize cloud-based storage media so that it becomes an alternative to support the learning process and work process. Keywords: cloud; teacher; storage media; training.
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Yudi Pratistha, Pande Made, I. Made Sukarsa, and Putu Wira Buana. "Implementasi Google Drive API untuk Upload, Sharing, dan Download Data pada Aplikasi Berbasis Web." JITTER : Jurnal Ilmiah Teknologi dan Komputer 3, no. 1 (2022): 750. http://dx.doi.org/10.24843/jtrti.2022.v03.i01.p10.
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Salah satu tantangan dalam pembuatan sistem informasi adalah pemilihan tempat penyimpanan data yang sesuai dengan kemampuan organisasi. Google Drive merupakan cloud storage yang dapat dimanfaatkan sebagai basis data untuk sebuah sistem informasi. Salah satu kelebihan menggunakan cloud storage google drive adalah tidak menggunakan alamat internet protocol sehingga proses pengoperasiannya bisa dilakukan diberbagai tempat dan hanya cukup bermodalkan akses jaringan internet. Hal ini dapat menjadi solusi yang cukup murah bagi sebuah organisasi yang membutuhkan pertukaran data. Tujuan dari penelitian ini untuk membuat aplikasi berbasis web yang memanfaatkan tekonologi API dan penyimpanan data dari Google Drive. Sistem aplikasi ini berbasis web yang dapat membantu proses pertukaran data dan dapat menjadi alternatif penyimpanan data gratis. Aplikasi ini memanfaatkan cloud storage google drive sebagai tempat pertukaran data dan penyimpanan data. Aplikasi ini membutuhkan sebuah akun google untuk melakukan proses autentikasi dan sebagai perantara tempat pertukaran data sebelum ditampilkan di halaman view data.
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Piyush Dhar Diwan. "Mastering cloud platform engineering with key modern concepts." Global Journal of Engineering and Technology Advances 23, no. 1 (2025): 058–68. https://doi.org/10.30574/gjeta.2025.23.1.0105.
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Cloud infrastructure engineering has emerged as the foundation of modern digital ecosystems, requiring a comprehensive understanding of both technical concepts and operational practices. This article explores the multifaceted nature of cloud platform engineering, examining core concepts such as containerization, Infrastructure as Code, microservices architectures, serverless computing, role-based access control, GitOps, and CI/CD pipelines. It delves into critical non-functional aspects, including availability, fault tolerance, disaster recovery, autoscaling, compliance, security, observability, and multi-cloud strategies. The article provides detailed guidelines for designing high-availability architectures, implementing robust security frameworks, and optimizing cost efficiency across cloud environments. As organizations increasingly migrate mission-critical workloads to cloud platforms, mastering these fundamental concepts becomes essential for building resilient, secure, and scalable systems. The cloud landscape continues to evolve, with emerging trends like edge computing, AI-driven cloud management, and FinOps practices representing the next frontier in cloud platform engineering. By embracing these principles and staying current with evolving best practices, organizations can leverage cloud technologies to drive innovation and achieve business objectives in an increasingly digital world.
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Irfan, Muhammad, Zhu Hong, Nueraimaiti Aimaier, and Zhu Guo Li. "SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services." Advanced Materials Research 660 (February 2013): 196–201. http://dx.doi.org/10.4028/www.scientific.net/amr.660.196.
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Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.
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Grandey, B. S., P. Stier, R. G. Grainger, and T. M. Wagner. "The contribution of extratropical cyclones to observed cloud–aerosol relationships." Atmospheric Chemistry and Physics Discussions 13, no. 5 (2013): 11971–95. http://dx.doi.org/10.5194/acpd-13-11971-2013.
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Abstract. Meteorological covariation may drive relationships between aerosol and cloud-related properties. It is important to account for the meteorological contribution to observed cloud–aerosol relationships in order to improve understanding of aerosol–cloud–climate interactions. A new method of investigating the contribution of meteorological covariation to observed cloud–aerosol relationships is introduced. Other studies have investigated the contribution of local meteorology to cloud–aerosol relationships. In this paper, a complimentary large-scale view is presented. Extratropical cyclones have been previously shown to affect satellite-retrieved aerosol optical depth (τ), due to enhanced emission of sea salt and sea surface brightness artefacts in regions of higher wind speed. Extratropical cyclones have also been shown to affect cloud-related properties such as cloud fraction (fc) and cloud top temperature (Ttop). Therefore, it seems plausible to hypothesise that extratropical cyclones may drive relationships between cloud-related properties and τ. In this paper, a description of extratropical cyclones, based on the relative vorticity of the storm and position in the storm domain, is used to analyse MODerate resolution Imaging Spectroradiometer (MODIS) retrieved τ, fc and Ttop data. This storm-centric description is capable of explaining fc–τ relationships, although the relationships explained represent only a small component of the relationships observed in the MODIS data. This storm-centric approach produces no statistically robust explanation for Ttop–τ relationships, suggesting that large-scale synoptic conditions in the mid-latitudes do not drive Ttop–τ relationships. The primary causes for observed cloud–aerosol relationships are likely to be other factors such as retrieval errors, local meteorology or aerosol–cloud interactions.
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Zen, Bita Parga, Trihastuti Yuniati, Diandra Chika Fransisca, and Muhammad Eka Purbaya. "Optimalisasi Teknologi Cloud pada Tentara Nasional Indonesia di Institut Teknologi Telkom Purwokerto." IJCOSIN: Indonesian Journal of Community Service and Innovation 2, no. 2 (2022): 125–34. http://dx.doi.org/10.20895/ijcosin.v2i2.660.
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Kebijakan work from home akibat pandemi Covid-19 telah mengubah cara kerja pegawai, tidak terkecuali prajurit TNI di Korem 071/Wijayakusuma. Sistem kerja yang dilaksanakan secara daring memunculkan kebutuhan untuk saling berbagi berkas atau dokumen. Teknologi cloud memudahkan penggunanya untuk melakukan pekerjaan secara daring. Cloud storage, seperti Google Drive, memiliki beberapa fitur, seperti berbagi dokumen yang dapat disinkronisasi otomatis, sehingga pengguna tidak perlu repot mengunggah berkas untuk disebarkan. Selain itu, dengan disimpan di cloud juga dapat mencegah kemungkinan kerusakan atau kehilangan data. Sayangnya, masih banyak pengguna yang belum terlalu familiar dengan teknologi ini. Sebagai salah satu upaya untuk meningkatkan pengetahuan dan keterampilan pengguna, dosen dan mahasiswa Institut Teknologi Telkom Purwokerto (ITTP) mengadakan kegiatan pengabdian masyarakat berupa pelatihan optimalisasi teknologi cloud, dalam hal ini Google Drive, kepada para prajurit TNI di Korem 071/Wijayakusuma. Kegiatan yang dilaksanakan di ruang TT 104-105 kampus ITTP ini diikuti oleh 66 peserta. Peserta dilatih menggunakan Google Drive melalui web browser dan juga melalui perangkat mobile/smartphone. Peserta sangat antusias dengan diadakannya pelatihan Google Drive ini, terlihat dari hasil kuesioner kepuasan peserta yang menunjukkan rata-rata menjawab sangat setuju dan puas dengan pelatihan ini.
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Janani, A., A. Lavanya, Thankam Eapen Mahima, and Faith S. Julia. "STABLE - Study on Trusted Authentication Scheme using M-RSA based Blockchain Technique for Legacy Environment (A Novel Method to Enhance Cloud Security)." Recent Trends in Cloud Computing and Web Engineering 2, no. 1 (2020): 1–9. https://doi.org/10.5281/zenodo.3731874.
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<em>Cloud computing is an important way to drive the IT industry, but security is a key factor in the handling of cloud data. The accuracy of the cloud data is jeopardized. Although cloud-related infrastructures are much more powerful and reliable than computer equipment, they continue to face the wide range of internal and external data integrity threats. In this paper, we propose a secure cloud storage system that supports the protection of privacy. Through this scheme, the data owner uploads the data in the cloud (implemented with Google Drive) and they are allowed to modify the data using the private key. For the protection of cloud computing environments, RSA based Technique uses a newly developed security algorithm based on Encrypted User End Generated (EUEG), which decreases the role of the third party and enhances security testing with an automated logging of malicious devices to produce keycode using System motherboard numbers, System disk number and user password.</em>
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A., Sameh. "Optimal Assistive Drive System using Mobile Cloud Computing." International Journal of Computer Applications 182, no. 46 (2019): 45–51. http://dx.doi.org/10.5120/ijca2019918624.
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S, Sowmiya, and Kuppuswami S. "Efficient Resource Allocation Strategies using DRIVE for Cloud." International Journal Of Recent Advances in Engineering & Technology 08, no. 01 (2020): 33–38. http://dx.doi.org/10.46564/ijraet.2020.v08i01.006.
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Kim, Jisoo, Mungyu Bae, Yeonsung Chu, et al. "Self-Encrypting Drive Evolving Toward Multitenant Cloud Computing." Computer 57, no. 2 (2024): 79–90. http://dx.doi.org/10.1109/mc.2023.3308955.
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Mohit, Bajpai. "Implementing Cloud Operations Process Improvement for GCPImplementing Cloud Operations Process Improvement for GCP." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 8, no. 1 (2022): 1–6. https://doi.org/10.5281/zenodo.13949368.
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Cloud Operations (CloudOps) Process Improvement is critical component in the successful adoption and management of cloud infrastructure. This paper examines the implementation of CloudOps process improvement strategies in the context of Google Cloud Platform. The paper outlines key processes, automation techniques, and performance considerations to enhance cloud operations and drive continuous improvement
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Totade, Prof Mrs Sunita K. "Big Data in Cloud Computing." International Journal for Research in Applied Science and Engineering Technology 12, no. 10 (2024): 1374–78. http://dx.doi.org/10.22214/ijraset.2024.64858.
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The convergence of Big Data and cloud computing has revolutionized the way organizations process, store, and analyze large datasets. This paper explores the synergistic relationship between these two transformative technologies, highlighting their impact on business operations, decision-making, and innovation. By leveraging cloud platforms, enterprises can harness the scalability, flexibility, and cost-efficiency of distributed computing to manage vast volumes of data generated from diverse sources. Cloud-based big data analytics enables real-time insights, which drive strategic actions, improve customer experiences, and foster competitive advantages. The research delves into key cloud architectures, data management techniques, and analytics tools that underpin big data solutions, while addressing challenges such as data security, privacy, and compliance. Furthermore, the study reviews industry use cases across various sectors, illustrating how big data in cloud environments enhances productivity and innovation. The findings underscore the pivotal role of cloud computing in unlocking the full potential of big data, offering a roadmap for businesses aiming to capitalize on data-driven strategies.
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Rossiman, Nur Diyana, Norzaidah Hidayah Rashid, Wardah Annadiah Ahmad Ramzuna, and Mohammad Nabil Almunawar. "The Perception and Usage of Google Drive Among Higher Education Institution Students in Brunei Darussalam." International Journal of Asian Business and Information Management 12, no. 3 (2021): 222–41. http://dx.doi.org/10.4018/ijabim.20210701.oa14.
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Recently cloud computing services have been adopted by many people and organizations. Google Drive is one of the cloud computing platforms that has gained popularity among students in higher education institutions. This study examines the perceptions and the current usage of Google Drive among students in higher education institutions in Brunei Darussalam. The study adopted the technology acceptance model (TAM) and two additional factors, namely perceived speed of access (PSA) and perceived security (PS). The primary objectives of this research are to explore the factors affecting the usage of Google Drive by the students in higher education institutions in Brunei, to investigate the perceptions of the students on the use of Google Drive, and to find whether attitude influences the behavioral intention to use Google Drive among the students. The findings of this study connote that the students' perceptions on Google Drive have a significant influence towards their attitude to use Google Drive which in turn influence their behavioral intention to use Google Drive in the future.
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Morales Betancourt, R., D. Lee, L. Oreopoulos, Y. C. Sud, D. Barahona, and A. Nenes. "Sensitivity of cirrus and mixed-phase clouds to the ice nuclei spectra in McRAS-AC: single column model simulations." Atmospheric Chemistry and Physics Discussions 12, no. 6 (2012): 14927–57. http://dx.doi.org/10.5194/acpd-12-14927-2012.
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Abstract. The salient features of mixed-phase and ice clouds in a GCM cloud scheme are examined using the ice formation parameterizations of Liu and Penner (LP) and Barahona and Nenes (BN). The performance of LP and BN ice nucleation parameterizations were assessed in the GEOS-5 AGCM using the McRAS-AC cloud microphysics framework in single column mode. Four dimensional assimilated data from the intensive observation period of ARM TWP-ICE campaign was used to drive the fluxes and lateral forcing. Simulation experiments where established to test the impact of each parameterization in the resulting cloud fields. Three commonly used IN spectra were utilized in the BN parameterization to described the availability of IN for heterogeneous ice nucleation. The results show large similarities in the cirrus cloud regime between all the schemes tested, in which ice crystal concentrations were within a factor of 10 regardless of the parameterization used. In mixed-phase clouds there are some persistent differences in cloud particle number concentration and size, as well as in cloud fraction, ice water mixing ratio, and ice water path. Contact freezing in the simulated mixed-phase clouds contributed to transfer liquid to ice efficiently, so that on average, the clouds were fully glaciated at T~260 K, irrespective of the ice nucleation parameterization used. Comparison of simulated ice water path to available satellite derived observations were also performed, finding that all the schemes tested with the BN parameterization predicted average values of IWP within ±15% of the observations.
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Ms., Ravneet Kaur. "Cloud Computing: Architecture and Services." RESEARCH REVIEW International Journal of Multidisciplinary 03, no. 06 (2018): 20–23. https://doi.org/10.5281/zenodo.1258086.
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Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, like the electricity grid. It is a method for delivering information technology (IT) services where resources are retrieved from the Internet through web-based tools and applications, as opposed to a direct connection to a server. Rather than keeping files on a proprietary hard drive or local storage device, cloud-based storage makes it possible to save them to a remote database. Companies providing cloud services enable users to store files and applications on remote servers, and then access all the data via the internet. This Paper highlight architecture , services, pros and cons of using cloud computing.
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Izquierdo, Andrés F., Rowan J. Smith, Simon C. O. Glover, et al. "The Cloud Factory II: gravoturbulent kinematics of resolved molecular clouds in a galactic potential." Monthly Notices of the Royal Astronomical Society 500, no. 4 (2020): 5268–96. http://dx.doi.org/10.1093/mnras/staa3470.
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ABSTRACT We present a statistical analysis of the gravoturbulent velocity fluctuations in molecular cloud complexes extracted from our ‘Cloud Factory’ Galactic-scale interstellar medium (ISM) simulation suite. For this purpose, we produce non-local thermodynamic equilibrium 12CO J = 1 − 0 synthetic observations and apply the principal component analysis (PCA) reduction technique on a representative sample of cloud complexes. The velocity fluctuations are self-consistently generated by different physical mechanisms at play in our simulations, which include Galactic-scale forces, gas self-gravity, and supernova feedback. The statistical analysis suggests that, even though purely gravitational effects are necessary to reproduce standard observational laws, they are not sufficient in most cases. We show that the extra injection of energy from supernova explosions plays a key role in establishing the global turbulent field and the local dynamics and morphology of molecular clouds. Additionally, we characterize structure function scaling parameters as a result of cloud environmental conditions: some of the complexes are immersed in diffuse (interarm) or dense (spiral-arm) environments, and others are influenced by embedded or external supernovae. In quiescent regions, we obtain time-evolving trajectories of scaling parameters driven by gravitational collapse and supersonic turbulent flows. Our findings suggest that a PCA-based statistical study is a robust method to diagnose the physical mechanisms that drive the gravoturbulent properties of molecular clouds. Also, we present a new open source module, the pcafactory, which smartly performs PCA to extract velocity structure functions from simulated or real data of the ISM in a user-friendly way.
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Angevine, Wayne M., Joseph Olson, Jaymes Kenyon, et al. "Shallow Cumulus in WRF Parameterizations Evaluated against LASSO Large-Eddy Simulations." Monthly Weather Review 146, no. 12 (2018): 4303–22. http://dx.doi.org/10.1175/mwr-d-18-0115.1.
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AbstractRepresentation of shallow cumulus is a challenge for mesoscale numerical weather prediction models. These cloud fields have important effects on temperature, solar irradiance, convective initiation, and pollutant transport, among other processes. Recent improvements to physics schemes available in the Weather Research and Forecasting (WRF) Model aim to improve representation of shallow cumulus, in particular over land. The DOE LES ARM Symbiotic Simulation and Observation Workflow (LASSO) project provides several cases that we use here to test the new physics improvements. The LASSO cases use multiple large-scale forcings to drive large-eddy simulations (LES), and the LES output is easily compared to output from WRF single-column simulations driven with the same initial conditions and forcings. The new Mellor–Yamada–Nakanishi–Niino (MYNN) eddy diffusivity mass-flux (EDMF) boundary layer and shallow cloud scheme produces clouds with timing, liquid water path (LWP), and cloud fraction that agree well with LES over a wide range of those variables. Here we examine those variables and test the scheme’s sensitivity to perturbations of a few key parameters. We also discuss the challenges and uncertainties of single-column tests. The older, simpler total energy mass-flux (TEMF) scheme is included for comparison, and its tuning is improved. This is the first published use of the LASSO cases for parameterization development, and the first published study to use such a large number of cases with varying cloud amount. This is also the first study to use a more precise combined infrared and microwave retrieval of LWP to evaluate modeled clouds.