The data management plan of the Community Earth System Model (CESM)[1] from the National Center for Atmospheric Research (NCAR) is given historical context and its policies, definitions, and features are detailed. The drivers of CESM data management are discussed, including the upcoming Coupled Model Intercomparison Project 5 (CMIP5), the ongoing Earth System Grid (ESG) project, and the strateg...

This paper presents a comparison of global temperature variations in the stratosphere and troposphere between satellite measurements (SSU + MSU), reanalysis data sets, and CMIP5 models. The focus is on comparing interannual variability and trends among the data sets, and direct comparisons are made by constructing weighted averages of the reanalysis and model temperatures to approximately match...

The effective climate sensitivity (EffCS) of models in the Coupled Model Intercomparison Project 6 (CMIP6) has increased relative to CMIP5. We explore implications this for global mean sea-level (GMSL) change projections 2100 three emissions scenarios. CMIP6 surface air temperature are substantially higher than CMIP5, but thermal expansion not. Using these as input construct GMSL with IPCC AR5 ...

This paper evaluates sea surface temperature (SST) biases of coupled models participating in Coupled Model Intercomparison Project Phase 5 (CMIP5) and CMIP6. Overall, CMIP6 perform better than CMIP5 ones reproducing SST climatology, with lower multi-model ensemble mean (MME) globally averaged absolute bias (1.17 vs. 1.31 K). MME global annual shifts from cooling (−0.09 ± 0.52 K) to warming (0.2...

Due to its wide-ranging impacts, predicting decadal variations of sea surface temperature (SST) in the subpolar North Atlantic remains a key goal climate science. Here, we compare representation observed SST since 1960 initialized and uninitialized historical simulations from 5th 6th phases Coupled Model Intercomparison Project (CMIP5/6). Initialized hindcasts CMIP6 explain 88% variance post-19...

Abstract Efforts to understand and quantify how a changing climate can impact agriculture often rely on bias-corrected downscaled information, making it important potential biases of this approach. Here, we use multi-model ensemble statistically models, as well the corresponding parent models from Coupled Model Intercomparison Project Phase 5 (CMIP5), drive statistical panel model U.S. maize yi...

Introduction Conclusions References

Abstract Estimating the impacts of climate change on global carbon cycle relies projections from Earth system models (ESMs). While ESMs currently project large warming in high northern latitudes, magnitude and sign future balance Arctic-Boreal ecosystems are highly uncertain. The new generation increased complexity Intergovernmental Panel Climate Change Sixth Assessment Report (IPCC AR6) is int...

امروزه کاربردهای تصاویر ماهواره‌ای، در پایش و مدیریت زمین‌های کشاورزی، رو به گسترش است. با توجه قدرت تفکیک مکانی، طیفی زمانی بالای سنتینل‌ـ 2، این مطالعه، کشاورزی دقیق شهرستان قروه از استفاده شده ابتدا تقویم زراعی محصولات متفاوت آن منطقه، سری جمع‌آوری شد. روش پیشنهادی، نخست، فضای ویژگی براساس بازتاب باندها همچنین شاخص‌های گیاهی، ایجاد ابعاد طیفی، آنالیز مؤلفه‌های اصلی، کاهش یافت. سپس چهار طبقه‌...

This study provides an assessment of changes in mean and extreme climate northeast Thailand, focusing on the near-future period (2021–2050). Spatiotemporal extremes return values are investigated compared to 1981–2010. Climate model-related uncertainties quantified using 14 models from Coupled Model Intercomparison Project phase 5 (CMIP5) 8 6 (CMIP6). CMIP6 have a higher sensitivity external fo...