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Journal articles on the topic 'Atmospheric Modeling and Analysis Division'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

Lehr, W., R. Overstreet, R. Jones, L. Eclipse, and D. Simecek-Beatty. "THE NEXT GENERATION IN OIL WEATHERING MODELING." International Oil Spill Conference Proceedings 1997, no. 1 (1997): 986–87. http://dx.doi.org/10.7901/2169-3358-1997-1-986.

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ABSTRACT Through a project jointly funded by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Minerals Management Service (MMS), the Hazardous Material Response and Assessment Division of NOAA (NOAA/HAZMAT) has developed the next generation of the widely used oil weathering model, ADIOS. The algorithms for spreading, emulsification, dispersion, and evaporation have been modified to accommodate new research results. Also, the new version contains a source strength module that estimates leak rates from damaged vessels and new user inputs that allow decisions on the applica

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Carrera, Marco L., Stéphane Bélair, Vincent Fortin, Bernard Bilodeau, Dorothée Charpentier, and Isabelle Doré. "Evaluation of Snowpack Simulations over the Canadian Rockies with an Experimental Hydrometeorological Modeling System." Journal of Hydrometeorology 11, no. 5 (2010): 1123–40. http://dx.doi.org/10.1175/2010jhm1274.1.

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Abstract To improve the representation of the land surface in their operational numerical weather prediction (NWP) models, the Meteorological Research Division of Environment Canada (EC) is developing an external hydrometeorological modeling and data assimilation system. The objective of this study is to verify the improvement in simulating snow cover extent (SCE) and snow water equivalent (SWE) over the Canadian Rockies with this new modeling system. This study will be an important first step in determining the optimal configuration of the land surface model and atmospheric forcing for a futu

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Symons, Lisa, and Marc K. Hodges. "Undersea Pollution Threats and Trajectory Modeling." Marine Technology Society Journal 38, no. 3 (2004): 78–82. http://dx.doi.org/10.4031/002533204787511282.

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The National Marine Sanctuary Program (NMSP) in the National Oceanic and Atmospheric Administration (NOAA) has developed the Resources and Undersea Threats (RUST) database in an attempt to inventory and assess potential threats from underwater sources of pollution. Undersea threat information is only the first step of several in determining the potential scope and scale of the spill trajectories that demonstrate potential to impact sensitive resources. Resource managers frequently have to make decisions based on the precautionary approach, using the best available information to weigh alternat

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ROMANOV, A. V. "A ROADMAP OF MODERN HYDROLOGICAL FORECASTS OF WATER REGIME." Meteorologiya i Gidrologiya, no. 12 (December 2023): 12–26. http://dx.doi.org/10.52002/0130-2906-2023-12-12-26.

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An array of information sources related to the current and proposed development of methods and systems of hydrological forecasts has been analyzed. It included not only publications of recent years in the field of mathematical modeling of river flow formation processes, but also fundamental documents of a structural and conceptual type related to international cooperation and division of labor in the field of hydrometeorology. The results of the analysis allow us to identify several main directions of the road map that determines the development of this area of hydrology for the near and long

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Shaikh, Muhammad Naveed, Salman Arain, Syed Rizwan Hassan, Sghaier Guizani, Ateeq Ur Rehman, and Habib Hammam. "BER and outage throughput analysis of DPIM/DHPIM coded QPSK-OFDM based outdoor optical wireless communications." International Journal of ADVANCED AND APPLIED SCIENCES 11, no. 9 (2024): 1–6. http://dx.doi.org/10.21833/ijaas.2024.09.001.

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With the growing demand for fast and reliable communication systems, particularly in outdoor environments, it is essential to investigate advanced encoding techniques. Digital Pulse Interval Modulation (DPIM) and Dual Header Pulse Interval Modulation (DHPIM) emerge as promising alternatives to traditional line coding methods, providing enhanced spectral efficiency and resistance to signal disruptions. This paper presents the performance of a Quadrature Phase-Shift Keying (QPSK) Orthogonal Frequency Division Multiplexing (OFDM)-based Optical Wireless Communication (OWC) system using these advan

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Khan, Muhammad Tariq, Muhammad Shoaib, Raffaele Albano, et al. "Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan." Atmosphere 14, no. 3 (2023): 452. http://dx.doi.org/10.3390/atmos14030452.

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The science of hydrological modeling has continuously evolved under the influence of rapid advancements in software and hardware technologies. Starting from simple rational formulae for estimating peak discharge and developing into sophisticated univariate predictive models, accurate conversion of rainfall into runoff and the assessment of inherent uncertainty has been a prime focus for researchers. Therefore, alternative data-driven methods have gained widespread attention in hydrology. Moreover, scientists often couple conventional machine learning models with data pre-processing techniques,

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Huang, Wei-Chieh, Hui-Ming Hung, Ching-Wei Chu, Wei-Chun Hwang, and Shih-Chun Candice Lung. "Deriving the hygroscopicity of ambient particles using low-cost optical particle counters." Atmospheric Measurement Techniques 17, no. 20 (2024): 6073–84. http://dx.doi.org/10.5194/amt-17-6073-2024.

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Abstract. This study investigates the chemical composition and physical properties of aerosols, which play a crucial role in influencing human health, cloud physics, and local climate. Our focus centers on the hygroscopicity of ambient aerosols, a key property reflecting the ability to take up moisture from the atmosphere and serve as cloud condensation nuclei. Employing home-built air quality box (AQB) systems equipped with low-cost sensors, we assess the ambient variability of particulate matter (PM) concentrations to determine PM hygroscopicity. The AQB systems effectively captured meteorol

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Alvanos, Michail, and Theodoros Christoudias. "GPU-accelerated atmospheric chemical kinetics in the ECHAM/MESSy (EMAC) Earth system model (version 2.52)." Geoscientific Model Development 10, no. 10 (2017): 3679–93. http://dx.doi.org/10.5194/gmd-10-3679-2017.

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Abstract. This paper presents an application of GPU accelerators in Earth system modeling. We focus on atmospheric chemical kinetics, one of the most computationally intensive tasks in climate–chemistry model simulations. We developed a software package that automatically generates CUDA kernels to numerically integrate atmospheric chemical kinetics in the global climate model ECHAM/MESSy Atmospheric Chemistry (EMAC), used to study climate change and air quality scenarios. A source-to-source compiler outputs a CUDA-compatible kernel by parsing the FORTRAN code generated by the Kinetic PreProces

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An, X. Q., S. X. Zhai, M. Jin, S. L. Gong, and Y. Wang. "Tracking influential haze source areas in North China using an adjoint model, GRAPES–CUACE." Geoscientific Model Development Discussions 8, no. 8 (2015): 7313–45. http://dx.doi.org/10.5194/gmdd-8-7313-2015.

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Abstract. Based upon the adjoint theory, the adjoint of the aerosol module in the atmospheric chemical modeling system GRAPES–CUACE (Global/Regional Assimilation and PrEdiction System coupled with the CMA Unified Atmospheric Chemistry Environment) was developed and tested for its correctness. Through statistic comparison, BC (black carbon aerosol) concentrations simulated by GRAPES–CUACE were generally consistent with observations from Nanjiao (one urban observation station) and Shangdianzi (one rural observation station) stations. To track the most influential emission-sources regions and the

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Somfalvi-Tóth, Katalin, and André Simon. "Extreme Value Analysis and Modelling of Wet Snow Accretion on Overhead Lines in Hungary." Atmosphere 14, no. 1 (2022): 81. http://dx.doi.org/10.3390/atmos14010081.

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Wet snow events in Hungary can occasionally cause damage to overhead power lines and serious power supply failures. Return period calculation of such high snow mass events was determined upon a 50-year long data series available at 12 meteorological stations. Wet snow masses were estimated with a model of cylindrical accretion around wire of 3.1 cm diameter. Trends in the return periods and ice classes (according to the ISO 12494 standard) were assessed from division of the dataset into two periods (1965–1990 and 1991–2016). Ice classes in the range of R2 to R5 (mass of 0.7–6.1 kg m−1) were id

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Htut San, Hkaung, Khin Pyone, and Tsutomu SATO. "Enhanced Rock Weathering in Sandy Soils: Carbon Removal Potential and Fertility Restoration in Future Urbanization Zones." Advances in Urban Regional Development and Planning 02, no. 01 (2025): 01–09. https://doi.org/10.33140/aurdp.02.01.01.

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Enhanced Rock Weathering (ERW) has emerged as a promising Negative Emission Technology due to its dual role in atmospheric carbon dioxide removal (CDR) and soil fertility restoration. While most ERW research focuses on fertile croplands, its application in agriculturally marginal areas remains underexplored. This study investigates the efficacy of basalt-based ERW in sandy soils within Future Urbanization Zones of Kyaukse and Sintgaing townships, Mandalay Division, Myanmar, a site characterized by poor water retention, low nutrient content, and limited agricultural viability. Small-scale plant

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An, Xing Qin, Shi Xian Zhai, Min Jin, Sunling Gong, and Yu Wang. "Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China." Geoscientific Model Development 9, no. 6 (2016): 2153–65. http://dx.doi.org/10.5194/gmd-9-2153-2016.

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Abstract. The aerosol adjoint module of the atmospheric chemical modeling system GRAPES–CUACE (Global–Regional Assimilation and Prediction System coupled with the CMA Unified Atmospheric Chemistry Environment) is constructed based on the adjoint theory. This includes the development and validation of the tangent linear and the adjoint models of the three parts involved in the GRAPES–CUACE aerosol module: CAM (Canadian Aerosol Module), interface programs that connect GRAPES and CUACE, and the aerosol transport processes that are embedded in GRAPES. Meanwhile, strict mathematical validation sche

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Carrera, Marco L., Stéphane Bélair, and Bernard Bilodeau. "The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study." Journal of Hydrometeorology 16, no. 3 (2015): 1293–314. http://dx.doi.org/10.1175/jhm-d-14-0089.1.

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Abstract The Canadian Land Data Assimilation System (CaLDAS) has been developed at the Meteorological Research Division of Environment Canada (EC) to better represent the land surface initial states in environmental prediction and assimilation systems. CaLDAS is built around an external land surface modeling system and uses the ensemble Kalman filter (EnKF) methodology. A unique feature of CaLDAS is the use of improved precipitation forcing through the assimilation of precipitation observations. An ensemble of precipitation analyses is generated by combining numerical weather prediction (NWP)

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Äijälä, Mikko, Kaspar R. Daellenbach, Francesco Canonaco, et al. "Constructing a data-driven receptor model for organic and inorganic aerosol – a synthesis analysis of eight mass spectrometric data sets from a boreal forest site." Atmospheric Chemistry and Physics 19, no. 6 (2019): 3645–72. http://dx.doi.org/10.5194/acp-19-3645-2019.

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Abstract. The interactions between organic and inorganic aerosol chemical components are integral to understanding and modelling climate and health-relevant aerosol physicochemical properties, such as volatility, hygroscopicity, light scattering and toxicity. This study presents a synthesis analysis for eight data sets, of non-refractory aerosol composition, measured at a boreal forest site. The measurements, performed with an aerosol mass spectrometer, cover in total around 9 months over the course of 3 years. In our statistical analysis, we use the complete organic and inorganic unit-resolut

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Wen, Xiaochun, Jinliang Wang, and Houqing Wang. "Research on the Mathematical Model of Local Equilibrium in the Top-Blown Smelting Process of Electronic Waste." Metals 11, no. 10 (2021): 1500. http://dx.doi.org/10.3390/met11101500.

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In the present study, the local equilibrium modeling and division method of the multiphase non-equilibrium for the top-blowing smelting process of electronic waste was investigated based on the local equilibrium hypothesis. And the mathematical description of the multi-phase equilibrium of each local area and the correlation method between the local areas were studied by analysis of relationships among the valence state, phase, composition, and Gibbs free energy of each element. Afterward, the reaction characteristic data such as melting material, product phase, composition, temperature, atmos

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Kawada, Tatsuya, Satoshi Watanabe, Riyan Achmad Budiman, et al. "(High-Temperature Energy, Materials, & Processes Division Subhash Singhal Award) From Electrochemical to Mechanical Modeling of SOFCs and Their Experimental Validation." ECS Meeting Abstracts MA2023-01, no. 54 (2023): 7. http://dx.doi.org/10.1149/ma2023-01547mtgabs.

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Due to the asymmetric structure with multiple materials, SOFCs are subjected to various modes of mechanical stress, resulting in a risk of failure. Of particular importance are thermal and chemical strains, which depend on the micro- and macroscopic distribution of electrochemical reaction sites. Therefore, SOFC modeling must include electrochemistry, mass and charge transport, thermo-fluid dynamics, and structural analysis. In addition, appropriate experiments must be performed to validate the modeling results. This research group is working to develop a comprehensive environment for modeling

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Serbin, Shawn P., and Christopher J. Kucharik. "Spatiotemporal Mapping of Temperature and Precipitation for the Development of a Multidecadal Climatic Dataset for Wisconsin." Journal of Applied Meteorology and Climatology 48, no. 4 (2009): 742–57. http://dx.doi.org/10.1175/2008jamc1986.1.

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Abstract Results from the generation of a multidecadal gridded climatic dataset for 57 yr (1950–2006) of daily and monthly precipitation (PTotal), maximum temperature (Tmax), and minimum temperature (Tmin) are presented for the important agricultural and forest products state of Wisconsin. A total of 176 climate stations were used in the final gridded dataset that was constructed at 8-km (5.0′) latitude–longitude resolution using an automated inverse distance weighting interpolation. Accuracy statistics for the interpolated data were based on a rigorous validation step using 104 first- and sec

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Tardieu, François, Matthieu Reymond, Bertrand Muller, et al. "Linking physiological and genetic analyses of the control of leaf growth under changing environmental conditions." Australian Journal of Agricultural Research 56, no. 9 (2005): 937. http://dx.doi.org/10.1071/ar05156.

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Decrease in leaf growth rate under water deficit can be seen as an adaptive process. The analysis of its genetic variability is therefore important in the context of drought tolerance. Several mechanisms are widely believed to drive the reduction in leaf growth rate under water deficit, namely leaf carbon balance, incomplete turgor maintenance, and decrease in cell wall plasticity or in cell division rate, with contributions from hormones such as abscisic acid or ethylene. Each of these mechanisms is still controversial, and involves several families of genes. It is argued that gene regulatory

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Pliasun, Olga. "Media image of Ukraine in a projection onto COVID-19: a linguistic view." Actual issues of Ukrainian linguistics theory and practice, no. 41 (2020): 119–34. http://dx.doi.org/10.17721/apultp.2020.41.119-134.

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The article is devoted to the analysis of linguistic dominants of Ukraine’s media image modeling during the COVID-19 pandemic. The research is conducted within the framework of a new direction of linguistics – media linguistic imageology, that in both Ukrainian and world linguistics is just beginning to develop, which determines the relevance and scientific perspective of the work. The article highlights the connection of media linguistic imageology with such neolinguistic areas as media linguistics, PR-linguistics, psycholinguistics and suggestive linguistics. The basic principles of linguist

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Rao, K. Shankar. "Uncertainty Analysis in Atmospheric Dispersion Modeling." Pure and Applied Geophysics 162, no. 10 (2005): 1893–917. http://dx.doi.org/10.1007/s00024-005-2697-4.

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Pe’eri, Shachak, John Nyberg, and Neil Weston. "NOAA’s Certification program in Marine Cartography." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-294-2019.

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<p><strong>Abstract.</strong> Since its establishment in 1807, the National Oceanic and Atmospheric Administration’s (NOAA) Office of Coast Survey has provided nautical charts to support safe shipping, national defence, and the delamination of maritime boundaries. The mission of the office is to provide navigation products and services that ensure safe and efficient maritime commerce on America’s oceans and coastal waters, and in the Great Lakes. The Office of Coast Survey employs cartographers, hydrographers, physical scientists, managers and administrative staff in order to

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McRoberts, D. Brent, and John W. Nielsen-Gammon. "A New Homogenized Climate Division Precipitation Dataset for Analysis of Climate Variability and Climate Change." Journal of Applied Meteorology and Climatology 50, no. 6 (2011): 1187–99. http://dx.doi.org/10.1175/2010jamc2626.1.

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AbstractA new homogeneous climate division monthly precipitation dataset [based on full network estimated precipitation (FNEP)] was created as an alternative to the National Climatic Data Center (NCDC) climate division dataset. These alternative climate division monthly precipitation values were estimated using an equal-weighted average of Cooperative Observer Program stations that contained serially complete time series. Missing station observations were estimated by a procedure that was optimized through testing on U.S. Historical Climate Network stations. Inhomogeneities in the NCDC dataset

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SEETHARAM, K. "RAINFALL ANALYSIS OVER RAYALASEEMA METEOROLOGICAL SUB-DIVISION." MAUSAM 64, no. 3 (2013): 558–65. http://dx.doi.org/10.54302/mausam.v64i3.737.

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Seigneur, Christian, Prasad Pai, Philip K. Hopke, and Daniel Grosjean. "Environmental Policy Analysis: Modeling Atmospheric Particulate Matter." Environmental Science & Technology 33, no. 3 (1999): 80A—86A. http://dx.doi.org/10.1021/es9926820.

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Zhang, Dai, Shiqi Hao, Qingsong Zhao, Mengbo Zhang, and Binbin Fan. "Atmospheric turbulence phase screen modeling method based on sub-bands division and multirate sampling." Optik 163 (June 2018): 72–80. http://dx.doi.org/10.1016/j.ijleo.2018.02.100.

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Ghanmi, Ahmed. "Modeling and analysis of a Canadian Forces Geomatics division workflow." European Journal of Operational Research 170, no. 3 (2006): 1001–16. http://dx.doi.org/10.1016/j.ejor.2004.06.033.

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Ionescu, G. L., and Gh C. Ionescu. "Atmospheric Pollutant Dispersion Modeling Methods." Journal of Applied Engineering Sciences 13, no. 2 (2023): 297–302. http://dx.doi.org/10.2478/jaes-2023-0038.

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Abstract The method of modeling and simulating different phenomena in various fields of scientific knowledge is an essential part of many branches of science, each of which has specific types of models. Using mathematical methods, these models try to simulate a real situation by means of numerical analysis that describes the relationships between the characteristic quantities of air pollution phenomena, such as emissions, meteorology atmospheric concentrations of pollutants, deposition, and other factors. Air and water pollution measurements give information about the environmental concentrati

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Rizza, Umberto, Jonas C. Carvalho, Davidson M. Moreira, Marcelo R. Moraes, and Antônio G. Goulart. "A global analysis of the atmospheric pollutant modeling." Revista Brasileira de Meteorologia 22, no. 1 (2007): 1–9. http://dx.doi.org/10.1590/s0102-77862007000100002.

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In this article is carried out a comparison between Lagrangian and Eulerian modelling of the turbulent transport of pollutants within the Planetary Boundary Layer (PBL). The Lagrangian model is based on a three-dimensional form of the Langevin equation for the random velocity. The Eulerian analytical model is based on a discretization of the PBL in N sub-layers; in each of the sub-layers the advection-diffusion equation is solved by the Laplace transform technique. In the Eulerian numerical model the advective terms are solved using the cubic spline method while a Crank-Nicholson scheme is use

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Deepalakshmi, R., J. Jeyarani, R. Vanitha, and M. Shivashankari. "Analysis of QAM Based Wavelength Division Multiplexing – Free Space Optical Communication Systems." Journal of Analog and Digital Communications 7, no. 3 (2022): 1–7. http://dx.doi.org/10.46610/joadc.2022.v07i03.001.

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Free-space optical communication (FSO) is a technology that entails the transmission of information through the atmosphere from one point to the other. Optical signal traversing the atmospheric channel suffers attenuation due to scattering and absorption of the signal by aerosols, fog, atmospheric gases. This work is focused on improving the performance of the system by increasing the capacity using WDM optical networks in free space using QAM modulation technique. The system is evaluated by using eight independent information sources and analyzing the BER and eye diagrams.

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Harbich, Thomas. "Modeling Properties of Diatoms with Fibonacci Growth Using Lindenmayer Systems." Phycology 5, no. 2 (2025): 20. https://doi.org/10.3390/phycology5020020.

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In most cases, the sizes of the daughter cells of diatoms follow the MacDonald–Pfitzer rule, whereby in many species all diatoms divide once in each generation. In contrast, there are division schemes in which the smaller or larger daughter cell is delayed in its division by one generation and therefore leads to Fibonacci growth. Several properties of diatoms, especially in chain-like colonies, that exhibit such delayed division can be modeled by Lindenmayer systems. These include, above all, the size and orientation of the diatoms. Certain sequences of properties, such as the differences in s

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Iqbal, Asif, and Nguyen Thi Kim Oanh. "Assessment of acid deposition over Dhaka division using CAMx–MM5 modeling system." Atmospheric Pollution Research 2, no. 4 (2011): 452–62. http://dx.doi.org/10.5094/apr.2011.052.

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Schreüder, Willem A., J. Prieur du Plessis, and Devraj Sharma. "NUMERICAL MODELING OF ATMOSPHERIC BOUNDARIES." Numerical Heat Transfer, Part B: Fundamentals 17, no. 2 (1990): 171–96. http://dx.doi.org/10.1080/10407799008961738.

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B., Anjanee Kumar. "Performance Analysis in Different Modulation Techniques Using SUI Modeling in OFDM System." Journal of Advancement in Communication System 3, no. 1 (2020): 1–9. https://doi.org/10.5281/zenodo.3760295.

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<em>Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input and Multiple Output (MIMO) are two fundamental systems utilized in fourth Generation Long Term Evolution (LTE). In OFDM different bearers are utilized and it gives more elevated level of ghostly proficiency when contrasted with Frequency Division Multiplexing (FDM). In OFDM in view of loss of symmetry between the subcarriers there is inter-carrier interference (ICI) and inter-symbol interference (ISI) and to conquer this issue utilization of cyclic prefixing (CP) is required, which utilizes 20% of accessible bandwidth. Wa

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Wakafuji, K., and T. Ohtsuki. "Performance analysis of atmospheric optical subcarrier-multiplexing systems and atmospheric optical subcarrier-Modulated code-division multiplexing systems." Journal of Lightwave Technology 23, no. 4 (2005): 1676–82. http://dx.doi.org/10.1109/jlt.2005.844500.

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You, Hongxia. "Modeling and Analysis of Multifocus Picture Division Algorithm Based on Deep Learning." Journal of Function Spaces 2022 (July 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/8326626.

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As a complex machine learning algorithm, deep learning can extract object shape information and more complex and advanced information in images by using a deep learning model. In order to solve some problems of deep learning in image feature extraction and classification, this paper designs a modeling method of multifocus image segmentation algorithm based on deep learning. The acceleration effect of FPGA (field programmable gate array) on deep learning and weight sharing is analyzed. By introducing deep learning, the trouble of determining the weight coefficient is eliminated, and the energy

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Prof. Madhuri Zambre. "Analysis and Modeling of Physical Stratum for Power Line Communication." International Journal of New Practices in Management and Engineering 5, no. 01 (2016): 08–13. http://dx.doi.org/10.17762/ijnpme.v5i01.42.

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In recent days, power line communication is one of the emerging technologies for high data rates (data transmitted at high speed). It is also cost effective and dependable channel. It is used in many applications such as home automation, broadband internet access, car embedded systems etc. Orthogonal Frequency Division Multiplexing dependent PLC physical layer is presented in this work. It is measured in terms of BER employing MATLAB 2013a. Here, multipath channel model is employed for the purpose of simulation because of the unavailability of a primary PLC channel.

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Plymale, Noah T., Joshua E. Szekely, and Anna H. Rubinstein. "Statistical Cluster Analysis of Global Aerosol Optical Depth for Simplified Atmospheric Modeling." Journal of Applied Meteorology and Climatology 61, no. 2 (2022): 109–28. http://dx.doi.org/10.1175/jamc-d-21-0150.1.

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Abstract Atmospheric aerosols originating from natural and anthropogenic sources have important implications for modeling atmospheric phenomena, but aerosol conditions can change significantly and rapidly because of their dependence on local geography and atmospheric conditions. In this work, we applied a computational k-means clustering algorithm to a global set of data obtained from the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), to yield a set of 25 clusters that discriminate on the basis of land type, elevation, and atmospheric conditions to predic

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Farrell, Alayna, Jennifer King, Caroline Draxl, et al. "Design and analysis of a wake model for spatially heterogeneous flow." Wind Energy Science 6, no. 3 (2021): 737–58. http://dx.doi.org/10.5194/wes-6-737-2021.

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Abstract. Methods of turbine wake modeling are being developed to more accurately account for spatially variant atmospheric conditions within wind farms. Most current wake modeling utilities are designed to apply a uniform flow field to the entire domain of a wind farm. When this method is used, the accuracy of power prediction and wind farm controls can be compromised depending on the flow-field characteristics of a particular area. In an effort to improve strategies of wind farm wake modeling and power prediction, FLOw Redirection and Induction in Steady State (FLORIS) was developed to imple

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Varalakshmi, M., and Daphne Lopez. "Performance Analysis of an Embarrassingly Parallel Application in Atmospheric Modeling." Research Journal of Applied Sciences, Engineering and Technology 11, no. 12 (2015): 1417–23. http://dx.doi.org/10.19026/rjaset.11.2249.

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Wang Hongxing, 王红星, 吴晓军 Wu Xiaojun, and 宋博 Song Bo. "Modeling and Analysis of Beam Wander in Maritime Atmospheric Turbulence." Chinese Journal of Lasers 43, no. 2 (2016): 0213001. http://dx.doi.org/10.3788/cjl201643.0213001.

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Bock, O., and E. Doerflinger. "Atmospheric modeling in GPS data analysis for high accuracy positioning." Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy 26, no. 6-8 (2001): 373–83. http://dx.doi.org/10.1016/s1464-1895(01)00069-2.

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Aslam, Rana Ammar, Sangam Shrestha, Muhammad Nabeel Usman, et al. "Integrated SWAT-MODFLOW Modeling-Based Groundwater Adaptation Policy Guidelines for Lahore, Pakistan under Projected Climate Change, and Human Development Scenarios." Atmosphere 13, no. 12 (2022): 2001. http://dx.doi.org/10.3390/atmos13122001.

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Urban aquifers are experiencing increasing pressures from climate change, land-use change, and abstraction, consequently, altering groundwater levels and threatening sustainable water availability, consumption, and utilization. Sustainability in such areas requires the adaptation of groundwater resources to these stressors. Consequently, this research made projections about future climate, land use, and abstraction, examines how these drives will affect groundwater levels, and then proposes adaptation strategies to reduce the impact on Lahore’s groundwater resources. The objectives are achieve

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Cao, Hui. "Modeling and Simulation of Main Control Valve Mechanism of LNG Ship Steam Turbine." Open Mechanical Engineering Journal 8, no. 1 (2014): 144–50. http://dx.doi.org/10.2174/1874155x20140501009.

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A mathematical model and simulation analysis on main control valve mechanism of LNG ship steam turbine are carried out. A reasonable modeling division of main control valve mechanism is achieved in accordance with the idea of modular modeling, and all the models are established respectively. The modeling division includes cam lifting mechanism, oil actuator and double-valve body. The state space equations are used successfully to describe the servo system of main hydraulic valves and to reveal their dynamic process. Finally, the simulation modules are combined according to the structure and fu

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Banwarth-Kuhn, Mikahl, Kevin Rodriguez, Christian Michael, et al. "Combined computational modeling and experimental analysis integrating chemical and mechanical signals suggests possible mechanism of shoot meristem maintenance." PLOS Computational Biology 18, no. 6 (2022): e1010199. http://dx.doi.org/10.1371/journal.pcbi.1010199.

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Stem cell maintenance in multilayered shoot apical meristems (SAMs) of plants requires strict regulation of cell growth and division. Exactly how the complex milieu of chemical and mechanical signals interact in the central region of the SAM to regulate cell division plane orientation is not well understood. In this paper, simulations using a newly developed multiscale computational model are combined with experimental studies to suggest and test three hypothesized mechanisms for the regulation of cell division plane orientation and the direction of anisotropic cell expansion in the corpus. Si

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Pelletier, Jon D. "Analysis and Modeling of the Natural Variability of Climate." Journal of Climate 10, no. 6 (1997): 1331–42. http://dx.doi.org/10.1175/1520-0442(1997)010<1331:aamotn>2.0.co;2.

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De Michele, C., and P. Bernardara. "Spectral analysis and modeling of space-time rainfall fields." Atmospheric Research 77, no. 1-4 (2005): 124–36. http://dx.doi.org/10.1016/j.atmosres.2004.10.031.

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Spaces, Journal of Function. "Retracted: Modeling and Analysis of Multifocus Picture Division Algorithm Based on Deep Learning." Journal of Function Spaces 2023 (August 16, 2023): 1. http://dx.doi.org/10.1155/2023/9869806.

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Mauget, Steven A., and Eugene C. Cordero. "Optimal Ranking Regime Analysis of Intra- to Multidecadal U.S. Climate Variability. Part I: Temperature*." Journal of Climate 27, no. 24 (2014): 9006–26. http://dx.doi.org/10.1175/jcli-d-14-00040.1.

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Abstract The optimal ranking regime (ORR) method was used to identify intradecadal to multidecadal (IMD) time windows containing significant ranking sequences in U.S. climate division temperature data. The simplicity of the ORR procedure’s output—a time series’ most significant nonoverlapping periods of high or low rankings—makes it possible to graphically identify common temporal breakpoints and spatial patterns of IMD variability in the analyses of 102 climate division temperature series. This approach is also applied to annual Atlantic multidecadal oscillation (AMO) and Pacific decadal osci

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Appadu, Appanah Rao. "Optimized composite finite difference schemes for atmospheric flow modeling." Numerical Methods for Partial Differential Equations 35, no. 6 (2019): 2171–92. http://dx.doi.org/10.1002/num.22407.

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Malhan, Tanvi, Nishtha Sehgal, RK Giri, et al. "Comparative analysis of Sub division wise rainfall INSAT-3D vs Ground based observations." MAUSAM 73, no. 4 (2022): 843–52. http://dx.doi.org/10.54302/mausam.v73i4.5877.

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Rainfall monitoring during south west monsoon season both are very important ad crucial activity. It is important mainly because it is a boon for agriculture, a mirror for future for both social and economic activities and crucial for its measurements (ground as well as remote). In this current works authors made an attempt to know the performance of recently Space Application Centre (SAC), ISRO developed INSAT-3D improved rainfall algorithms (Hydro Estimator and corrected IMSARA) with actual ground based rainfall data by calculating the bias (Actual –Satellite) for each sub-division. The anal

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