Relevant bibliographies by topics / CMIP6 simulations

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'CMIP6 simulations'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "CMIP6 simulations"

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Gier, Bettina K., Manuel Schlund, Pierre Friedlingstein, et al. "Representation of the terrestrial carbon cycle in CMIP6." Biogeosciences 21, no. 22 (2024): 5321–60. http://dx.doi.org/10.5194/bg-21-5321-2024.

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Abstract. Simulation of the carbon cycle in climate models is important due to its impact on climate change, but many weaknesses in its reproduction were found in previous models. Improvements in the representation of the land carbon cycle in Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) include the interactive treatment of both the carbon and nitrogen cycles, improved photosynthesis, and soil hydrology. To assess the impact of these model developments on aspects of the global carbon cycle, the Earth System Model Evaluation Tool (ESMValTo
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Wang, Dong, Jiahong Liu, Weiwei Shao, Chao Mei, Xin Su, and Hao Wang. "Comparison of CMIP5 and CMIP6 Multi-Model Ensemble for Precipitation Downscaling Results and Observational Data: The Case of Hanjiang River Basin." Atmosphere 12, no. 7 (2021): 867. http://dx.doi.org/10.3390/atmos12070867.

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Evaluating global climate model (GCM) outputs is essential for accurately simulating future hydrological cycles using hydrological models. The GCM multi-model ensemble (MME) precipitation simulations of the Climate Model Intercomparison Project Phases 5 and 6 (CMIP5 and CMIP6, respectively) were spatially and temporally downscaled according to a multi-site statistical downscaling method for the Hanjiang River Basin (HRB), China. Downscaled precipitation accuracy was assessed using data collected from 14 meteorological stations in the HRB. The spatial performances, temporal performances, and se
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Hamed, Mohammed Magdy, Mohamed Salem Nashwan, Mohammed Sanusi Shiru, and Shamsuddin Shahid. "Comparison between CMIP5 and CMIP6 Models over MENA Region Using Historical Simulations and Future Projections." Sustainability 14, no. 16 (2022): 10375. http://dx.doi.org/10.3390/su141610375.

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The study evaluated the ability of 11 global climate models of the latest two versions of the Coupled Model Intercomparison Project (CMIP5 and CMIP6) to simulate observed (1965–2005) rainfall, maximum (Tmax) and minimum (Tmin) temperatures, mean eastward (uas) and northward (vas) wind speed, and mean surface pressure. It also evaluated relative uncertainty in projections of climate variables using those two CMIPs. The European reanalysis (ERA5) data were used as the reference to evaluate the performance of the GCMs and their mean and median multimodel ensembles (MME). The study revealed less b
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Brierley, Chris M., Anni Zhao, Sandy P. Harrison, et al. "Large-scale features and evaluation of the PMIP4-CMIP6 <i>midHolocene</i> simulations." Climate of the Past 16, no. 5 (2020): 1847–72. http://dx.doi.org/10.5194/cp-16-1847-2020.

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Abstract. The mid-Holocene (6000 years ago) is a standard time period for the evaluation of the simulated response of global climate models using palaeoclimate reconstructions. The latest mid-Holocene simulations are a palaeoclimate entry card for the Palaeoclimate Model Intercomparison Project (PMIP4) component of the current phase of the Coupled Model Intercomparison Project (CMIP6) – hereafter referred to as PMIP4-CMIP6. Here we provide an initial analysis and evaluation of the results of the experiment for the mid-Holocene. We show that state-of-the-art models produce climate changes that
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Matthes, Katja, Bernd Funke, Monika E. Andersson, et al. "Solar forcing for CMIP6 (v3.2)." Geoscientific Model Development 10, no. 6 (2017): 2247–302. http://dx.doi.org/10.5194/gmd-10-2247-2017.

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Abstract. This paper describes the recommended solar forcing dataset for CMIP6 and highlights changes with respect to CMIP5. The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index as well as particle forcing, including geomagnetic indices Ap and Kp, and ionization rates to account for effects of solar protons, electrons, and galactic cosmic rays. This is the first time that a recommendation for solar-driven particle forcing has been provided for a CMIP exercise. The solar forcing datasets are provided at
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Fyfe, John C., Viatcheslav V. Kharin, Benjamin D. Santer, Jason N. S. Cole, and Nathan P. Gillett. "Significant impact of forcing uncertainty in a large ensemble of climate model simulations." Proceedings of the National Academy of Sciences 118, no. 23 (2021): e2016549118. http://dx.doi.org/10.1073/pnas.2016549118.

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Forcing due to solar and volcanic variability, on the natural side, and greenhouse gas and aerosol emissions, on the anthropogenic side, are the main inputs to climate models. Reliable climate model simulations of past and future climate change depend crucially upon them. Here we analyze large ensembles of simulations using a comprehensive Earth System Model to quantify uncertainties in global climate change attributable to differences in prescribed forcings. The different forcings considered here are those used in the two most recent phases of the Coupled Model Intercomparison Project (CMIP),
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Eyring, Veronika, Sandrine Bony, Gerald A. Meehl, et al. "Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization." Geoscientific Model Development 9, no. 5 (2016): 1937–58. http://dx.doi.org/10.5194/gmd-9-1937-2016.

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Abstract. By coordinating the design and distribution of global climate model simulations of the past, current, and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made it necessary to revise the organization of CMIP. After a long and wide community consultation, a new and more federated structure has been put in place. It consists of three major elements: (1) a handful of common experim
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Cos, Josep, Francisco Doblas-Reyes, Martin Jury, Raül Marcos, Pierre-Antoine Bretonnière, and Margarida Samsó. "The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections." Earth System Dynamics 13, no. 1 (2022): 321–40. http://dx.doi.org/10.5194/esd-13-321-2022.

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Abstract. The enhanced warming trend and precipitation decline in the Mediterranean region make it a climate change hotspot. We compare projections of multiple Coupled Model Intercomparison Project Phase 5 (CMIP5) and Phase 6 (CMIP6) historical and future scenario simulations to quantify the impacts of the already changing climate in the region. In particular, we investigate changes in temperature and precipitation during the 21st century following scenarios RCP2.6, RCP4.5 and RCP8.5 for CMIP5 and SSP1-2.6, SSP2-4.5 and SSP5-8.5 from CMIP6, as well as for the HighResMIP high-resolution experim
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Almazroui, Mansour, M. Nazrul Islam, Sajjad Saeed, Fahad Saeed, and Muhammad Ismail. "Future Changes in Climate over the Arabian Peninsula based on CMIP6 Multimodel Simulations." Earth Systems and Environment 4, no. 4 (2020): 611–30. http://dx.doi.org/10.1007/s41748-020-00183-5.

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AbstractThis paper presents the changes in projected temperature and precipitation over the Arabian Peninsula for the twenty-first century using the Coupled Model Intercomparison Project phase 6 (CMIP6) dataset. The changes are obtained by analyzing the multimodel ensemble from 31 CMIP6 models for the near (2030–2059) and far (2070–2099) future periods, with reference to the base period 1981–2010, under three future Shared Socioeconomic Pathways (SSPs). Observations show that the annual temperature is rising at the rate of 0.63 ˚C decade–1 (significant at the 99% confidence level), while annua
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Merrifield, Anna L., Lukas Brunner, Ruth Lorenz, Vincent Humphrey, and Reto Knutti. "Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications." Geoscientific Model Development 16, no. 16 (2023): 4715–47. http://dx.doi.org/10.5194/gmd-16-4715-2023.

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Abstract. As the number of models in Coupled Model Intercomparison Project (CMIP) archives increase from generation to generation, there is a pressing need for guidance on how to interpret and best use the abundance of newly available climate information. Users of the latest CMIP6 seeking to draw conclusions about model agreement must contend with an “ensemble of opportunity” containing similar models that appear under different names. Those who used the previous CMIP5 as a basis for downstream applications must filter through hundreds of new CMIP6 simulations to find several best suited to th
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Dissertations / Theses on the topic "CMIP6 simulations"

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Ouhechou, Amine. "Analyse de la variabilité multi-échelles du rayonnement solaire incident sur la façade atlantique de l'Afrique Centrale : observations in-situ, estimations satellitaires, et simulations climatiques CMIP6." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALU007.

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L'Afrique centrale occidentale abrite les forêts les plus denses du bassin du Congo, deuxième plus grand massif forestier tropical après l’Amazonie. Elle se caractérise par un climat équatorial avec des températures élevées, un régime pluviométrique bimodal et surtout une longue saison sèche nuageuse, de juin à septembre. Malgré son importance écologique, la variabilité climatique de cette région a été peu étudiée par rapport à d'autres régions du continent africain, principalement en raison de la rareté des observations in-situ.Reconnaissant ces défis posés par le manque de données in situ, c
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Monerie, Paul-Arthur. "Le changement climatique en région de mousson africaine : évolution des champs pluviométriques et atmosphériques dans les simulations CMIP3 et CMIP5 sous scénario A1B et rcp45 (1960-1999, 2031-2070)." Phd thesis, Université de Bourgogne, 2013. http://tel.archives-ouvertes.fr/tel-00955371.

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Sur les effets du changement climatique aux échelles globale et régionale. Il montre en particulierqu'aucun consensus ne peut être trouvé pour ce qui concerne l'évolution future de lapluviométrie -- et de la dynamique atmosphérique associée -- en région de mousson africaine.Ce mémoire revisite cette question à la lumière des nouvelles données disponibles et selon uneapproche évitant toute surreprésentation du nombre de simulations disponibles pour un type demodèle donné, tout en prenant en compte la diversité des modèles ainsi que leur évolution dansle temps : sorties de vingt modèles de circu
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Mitchell, D. M., S. Misios, L. J. Gray, et al. "Solar signals in CMIP-5 simulations: the stratospheric pathway." Royal Meteorological Society, 2015. http://hdl.handle.net/10150/623311.

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The 11 year solar-cycle component of climate variability is assessed in historical simulations of models taken from the Coupled Model Intercomparison Project, phase 5 (CMIP-5). Multiple linear regression is applied to estimate the zonal temperature, wind and annular mode responses to a typical solar cycle, with a focus on both the stratosphere and the stratospheric influence on the surface over the period ∼1850–2005. The analysis is performed on all CMIP-5 models but focuses on the 13 CMIP-5 models that resolve the stratosphere (high-top models) and compares the simulated solar cycle signature
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Parsons, Luke A., Garrison R. Loope, Jonathan T. Overpeck, Toby R. Ault, Ronald Stouffer, and Julia E. Cole. "Temperature and Precipitation Variance in CMIP5 Simulations and Paleoclimate Records of the Last Millennium." AMER METEOROLOGICAL SOC, 2017. http://hdl.handle.net/10150/626270.

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Accurate assessments of future climate impacts require realistic simulation of interannual-century-scale temperature and precipitation variability. Here, well-constrained paleoclimate data and the latest generation of Earth system model data are used to evaluate the magnitude and spatial consistency of climate variance distributions across interannual to centennial frequencies. It is found that temperature variance generally increases with time scale in patterns that are spatially consistent among models, especially over the mid-and high-latitude oceans. However, precipitation is similar to wh
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Sumi, Selina Jahan. "Eco-Hydrology Driven Evaluation of Statistically Downscaled Precipitation CMIP5 Climate Model Simulations over Louisiana." Thesis, University of Louisiana at Lafayette, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1594512.

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<p>Statistically downscaled CMIP5 precipitation data are available at higher spatial resolution compared to global climate models. The downscaled climate models have been used in many hydrological applications. However, limited numbers of studies focused on downscaled CMIP5 precipitation data for Louisiana. Statistically downscaled precipitation data for Louisiana is critically needed for various water resources engineering, planning and design purposes. This study has focused on assessing the skill of CMIP5 climate models in reproducing observed precipitation of Louisiana and application of C
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Santolaria, Otín María. "Le rôle de la couverture de neige de l'Arctique dans le cycle hydrologique de hautes latitudes révélé par les simulations des modèles climatiques." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAU027/document.

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La neige est une composante essentielle du système climatique arctique. Au nord de l'Eurasie et de l'Amérique du Nord, la couverture neigeuse est présente de 7 à 10 mois par an et son extension saisonnière maximale représente plus de 40% de la surface terrestre de l'hémisphère nord. La neige affecte une variété de processus climatiques et de rétroactions aux hautes latitudes. Sa forte réflectivité et sa faible conductivité thermique ont un effet de refroidissement et modulent la rétroaction neige-albédo. Sa contribution au bilan radiatif de la Terre est comparable à celle de la banquise. De pl
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Chavaillaz, Yann. "La vitesse du changement climatique et ses implications sur la perception des générations futures." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLV021/document.

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Dans la plupart des études, on s'intéresse au changement climatique futur en analysant l'évolution du climat entre une référence actuelle fixée et une période future. Le réchauffement est de plus en plus fort au fil du 21ème siècle. Dans un contexte où les conditions climatiques sont toujours en train d'évoluer, les écosystèmes doivent continuellement s'adapter à des modifications diverses du climat. Dans le cadre de cette thèse, je propose d'analyser les projections climatiques sous un angle alternatif. Afin d’être caractéristique des représentations des populations urbaines et rurales, je dé
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Dars, Ghulam Hussain. "Climate Change Impacts on Precipitation Extremes over the Columbia River Basin Based on Downscaled CMIP5 Climate Scenarios." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/979.

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Hydro-climate extreme analysis helps understanding the process of spatio-temporal variation of extreme events due to climate change, and it is an important aspect in designing hydrological structures, forecasting floods and an effective decision making in the field of water resources design and management. The study evaluates extreme precipitation events over the Columbia River Basin (CRB), the fourth largest basin in the U.S., by simulating four CMIP5 global climate models (GCMs) for the historical period (1970-1999) and future period (2041-2070) under RCP85 GHG scenario. We estimated the int
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Chavaillaz, Yann. "La vitesse du changement climatique et ses implications sur la perception des générations futures." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLV021.

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Dans la plupart des études, on s'intéresse au changement climatique futur en analysant l'évolution du climat entre une référence actuelle fixée et une période future. Le réchauffement est de plus en plus fort au fil du 21ème siècle. Dans un contexte où les conditions climatiques sont toujours en train d'évoluer, les écosystèmes doivent continuellement s'adapter à des modifications diverses du climat. Dans le cadre de cette thèse, je propose d'analyser les projections climatiques sous un angle alternatif. Afin d’être caractéristique des représentations des populations urbaines et rurales, je dé
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Peings, Yannick. "Influence de la couverture de neige de l'hémisphère nord sur la variabilité interannuelle du climat." Phd thesis, Université Paul Sabatier - Toulouse III, 2010. http://tel.archives-ouvertes.fr/tel-00562496.

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La neige peut couvrir jusqu'à 40% des terres immergées de l'hémisphère Nord en hiver. De par son influence sur le bilan d'énergie en surface, elle constitue donc une source potentielle de variabilité et de prévisibilité climatique aux échelles mensuelles à saisonnières. Au-delà de ses effets locaux, la couverture neigeuse peut, à l'instar des surfaces océaniques, engendrer des téléconnexions et ainsi moduler le climat de régions plus lointaines. Cette thèse revisite plusieurs aspects des liens neige-climat en utilisant à la fois les jeux de données observées, les simulations réalisées pour le
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Book chapters on the topic "CMIP6 simulations"

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Maity, Subhra Sekhar, and Rajib Maity. "Analysis of Flash Droughts Across Indian Mainland: A Comparison Between CMIP6 Simulations and ERA5 Reanalysis Data." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9180-4_15.

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Doumbia, Boubacar, Elijah Adefisan, Jerome Omotosho, Boris Thies, and Joerg Bendix. "Evaluation of CMIP5 and CMIP6 Performance in Simulating West African Precipitation." In Digital Technologies and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29857-8_9.

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Dong, Wenjie, Fumin Ren, Jianbin Huang, and Yan Guo. "Climate Change Simulation and Projection Based on CMIP5." In The Atlas of Climate Change: Based on SEAP-CMIP5. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31773-6_2.

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Zhang, Jing, Jeremy Krieger, Uma Bhatt, Chuhan Lu, and Xiangdong Zhang. "Alaskan Regional Climate Changes in Dynamically Downscaled CMIP5 Simulations." In Proceedings of the 2013 National Conference on Advances in Environmental Science and Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19923-8_5.

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Adigun, Paul, Koji Dairaku, and Precious Ebiendele. "Aerosol Forcing Dominating Late-Summer Precipitation Change Over East Asia's Transitional Climatic Zone in CMIP6 Model Simulation." In Advances in Science, Technology & Innovation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47079-0_55.

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Lakku, Naresh Kumar Goud, and Manasa Ranjan Behera. "Do CMIP6 GCMs Outperform Cordex RCMs in Simulating Near-Surface Wind Speed Climate Over The Indian Ocean?" In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6009-1_54.

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Shkolnik, Igor M. "Climate in the Late Twentieth and Twenty-First Centuries over the Northern Eurasia: RCM and CMIP3 Simulations." In Regional Aspects of Climate-Terrestrial-Hydrologic Interactions in Non-boreal Eastern Europe. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2283-7_6.

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Bachelet, D., T. Sheehan, K. Ferschweiler, and J. Abatzoglou. "Simulating Vegetation Change, Carbon Cycling, and Fire Over the Western United States Using CMIP5 Climate Projections." In Natural Hazard Uncertainty Assessment. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119028116.ch17.

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Helga, Chauke, and Rita Pongrácz. "Can CMIP6 climate simulations accurately reproduce station data?" In Egyetemi Meteorológiai Füzetek. ELTE Meteorológiai Tanszék, 2024. http://dx.doi.org/10.31852/emf.36.2024.102.108.

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Modou Noreyni Fall, Cheikh, Adama Faye, Mbaye Diop, Babacar Faye, and Amadou Thierno Gaye. "Evolution of Agroclimatic Indicators in Senegal Using CMIP6 Simulations." In Natural Hazards - New Insights. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.109895.

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Climate has a strong influence on agriculture, which is considered the most dependent human activity on climate variations. The future performance of the Senegalese agricultural sector will depend on its ability to adapt to the negative impacts of climate change. This study demonstrated that the impact of three climate change scenarios (ssp126, ssp245 and ssp585) on the evolution of 14 agro-climatic indicators is already evident in Senegal in the near and distant future. Indeed, the results obtained show a generalized decrease over the whole country in seasonal rainfall totals of about −10% in
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Conference papers on the topic "CMIP6 simulations"

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Holtanová, Eva, and Tomáš Halenka. "Assessment of uncertainty of the PERUN climate change scenarios." In První konference PERUN. Český hydrometeorologický ústav, 2023. http://dx.doi.org/10.59984/978-80-7653-063-8.04.

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The main source of data about possible future climate change over the Czech Republic studied within the project PERUN is a series of Aladin-CLIMATE/CZ model simulations driven by the global climate model CNRM-ESM2-1. Other available model simulations, in particular the CMIP5 and CMIP6 global climate models, Euro-CORDEX regional climate models, and other new simulations at high horizontal resolution, will be used to estimate the uncertainties in the climate change scenarios. This paper presents examples of such uncertainty analysis.
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Chatzopoulou, Anthi, Kleareti Tourpali, and Alkiviadis Bais. "Projections of biologically weighted solar irradiance doses based on simulations of CMIP6 models." In RADIATION PROCESSES IN THE ATMOSPHERE AND OCEAN. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0183113.

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"Evaluating downscaled CMIP5 and CMIP6 for rainfall erosivity projections." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.bulovic428.

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Logothetis, Ioannis, Kleareti Tourpali, and Dimitrios Melas. "Projected Changes in Etesians Regime over Eastern Mediterranean in CMIP6 Simulations According to SSP2-4.5 and SSP5-8.5 Scenarios." In ECAS 2023. MDPI, 2023. http://dx.doi.org/10.3390/ecas2023-15129.

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San Jose, Roberto, and Juan Luis Perez-Camanyo. "Numerical simulation of localized climate scenarios impacts on vegetation co2 fluxes in the madrid region (spain) with the wrf/chem-vprm model." In 38th ECMS International Conference on Modelling and Simulation. ECMS, 2024. http://dx.doi.org/10.7148/2024-0438.

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The Vegetation Photosynthesis and Respiration Model (VPRM) integrated with the Weather Research Forecasting with Chemistry (WRF/Chem) model was used to model anthropogenic and biosphere CO2 fluxes and their subsequent transport and dispersion over the Madrid Region. Dynamic downscaling of global climate model results was used for four climate scenarios derived from the 6th Coupled Model Intercomparison Project (CMIP6) for a period between 2015 and 2050. Our results show spatial-temporal variations in CO2 concentration, biosphere fluxes and the global budget (comprising both biogenic and anthro
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"CMIP6 projections indicate more erosive events across Australia." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.zhu596.

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Xu, Min, and Forrest Hoffman. "Evaluations of CMIP5 simulations over cropland." In SPIE Optical Engineering + Applications, edited by Wei Gao, Ni-Bin Chang, and Jinnian Wang. SPIE, 2015. http://dx.doi.org/10.1117/12.2192586.

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Asplin, Matthew, Ed Ross, David Fissel, et al. "The Canada Coastal Zone Information System for Model-Based Projections of Future Metocean Parameters from Coupled Atmosphere-Ocean Models Under Different Greenhouse Gas Emission Scenarios for Offshore Marine Energy Development in Canada." In Offshore Technology Conference. OTC, 2024. http://dx.doi.org/10.4043/35435-ms.

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Planning is essential to navigate the challenges and uncertainties posed by climate change as offshore marine energy development proceeds over the coming decades. This paper introduces the prototype version of the Canadian Coastal Zone Information System (CCZIS), a pioneering initiative developed jointly by ASL Environmental Sciences Inc. and Trailmark Systems Inc. through the Innovative Solutions Canada Challenge administered by Public Services and Procurement Canada (ISC, 2020). The core functionality of CCZIS lies in its ability to provide spatial-statistical representations of key metocean
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Hayden, Lindsey, and Zaitao Pan. "ISCCP cloud based verification of CMIP5 climate simulations." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729140.

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"A snapshot of climate change impacts for Queensland and regions using high-resolution downscaled CMIP6 projections." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.toombs.

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Reports on the topic "CMIP6 simulations"

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Sathyanadh, Anusha, and Helene Muri. Open access dataset of ESM simulations of combined land- and ocean-based NETs. OceanNets, 2024. http://dx.doi.org/10.3289/oceannets_d4.7.

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In this deliverable, we perform Earth system model (ESM) simulations to assess the role of land-based and ocean-based negative emission technologies (NETs) for achieving the temperature target set by the 2015 Paris Agreement. The dataset provided from this work package will be used for investigating carbon sequestration potential, side-effects and potential constraints of combining oceanic and terrestrial NETs with the help of an earth system model, NorESM2. Two long NorESM2 coupled simulations with SSP5-3.4-OS scenario are conducted to check the CDR potential of terrestrial CDR, and terrestri
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Ruosteenoja, Kimmo. Applicability of CMIP6 models for building climate projections for northern Europe. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361416.

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In this report, we have evaluated the performance of nearly 40 global climate models (GCMs) participating in Phase 6 of the Coupled Model Intercomparison Project (CMIP6). The focus is on the northern European area, but the ability to simulate southern European and global climate is discussed as well. Model evaluation was started with a technical control; completely unrealistic values in the GCM output files were identified by seeking the absolute minimum and maximum values. In this stage, one GCM was rejected totally, and furthermore individual output files from two other GCMs. In evaluating t
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Hinrichs, Claudia, and Judith Hauck. Report on skill of CMIP6 models to simulate alkalinity and improved parameterizations for large scale alkalinity distribution. OceanNets, 2022. http://dx.doi.org/10.3289/oceannets_d4.4.

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In part one of this deliverable, an ensemble of 14 CMIP6 Earth System Models is evaluated regarding their performance in simulating alkalinity and related parameters. The majority of the models and the multi-model-mean underestimate surface alkalinity compared to climatological observations. Alkalinity biases stemming from the parametrization of calcium carbonate formation and dissolution can be as big as biases stemming from model physics. In part two, we test the sensitivity of parametrizations concerning the carbonate chemistry in the FESOM2.1-REcoM3 and give recommendations for addressing
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Chervenkov, Hristo, and Kiril Slavov. Historical Climate Assessment of Temperature-based ETCCDI Climate Indices Derived from CMIP5 Simulations. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.06.05.

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Chervenkov, Hristo, and Kiril Slavov. Historical Climate Assessment of Precipitation-based ETCCDI Climate Indices Derived from CMIP5 Simulations. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.07.06.

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Huang, Huei-Ping. Final Report for "Interdecadal climate regime transition and its interaction with climate change in CMIP5 simulations" (DOE Grant DE-SC0005344). Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1109482.

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