Anthromes and forest carbon responses to global change by J. Aaron Hogan, Jeremy W. Lichstein, Eileen H. Helmer, Matthew E. Craig, Evan Fricke, Viola Henrich, Steven A. Kannenberg, Charles D. Koven, Kees Klein Goldewjik, David M. Lapola, Yue Li, Yadvinder Malhi, John Quinn, Stephanie Roe, Cesar Terrer, Emilio Vilanova, Anthony P. Walker, Kai Zhu, Erle C. Ellis

“…We summarize recent past (1900‐present) patterns of land use intensification, and we use a feedback analysis of Earth system models from the Coupled Model Intercomparison Project Phase 6 to estimate the sensitivity of forest carbon stocks to CO2 and temperature change for different anthromes among regions. …”
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Dynamic Analysis and Risk Assessment of Vegetation Net Primary Productivity in Xinjiang, China by Wenjie Zhang, Xiang Zhao, Hao Li, Yutong Fang, Wenxi Shi, Siqing Zhao, Yinkun Guo

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Multimodel Analysis of the Atmospheric Response to Antarctic Sea Ice Loss at Quadrupled CO2 by H.C. Ayres, J.A. Screen

“…Here we examine the atmospheric response to projected Antarctic sea ice loss at quadrupled CO2, inferred from 11 Coupled Model Intercomparison Project phase 5 models. Our study is the first multimodel analysis of the atmospheric response to Antarctic sea ice loss. …”
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Spillover Analysis and Mainbeam Characterisation of Arctic Weather Satellite Radiometer Using Method of Moments by Roland Albers, Mustafa Murat Bilgic, Karl-Erik Kempe, Alistair Bell, Axel Murk

“…This paper contains detailed analysis of spillover, beam divergence and intercomparison of physical optics, MoM and nearfield antenna measurements for the mainbeam.…”
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A Model‐Independent Strategy for the Targeted Observation Analysis and Its Application in ENSO Prediction by Weixun Rao, Youmin Tang, Yanling Wu, Xiaojing Li

“…This new finding answers the long‐standing challenge question on the model dependence in targeted observational analysis, offering an efficient and objective way to identify optimal observational sites. …”
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Characteristics of Spatial and Temporal Evolution of Extreme Precipitation in Haihe River Basin and Analysis of Future Trends by LI Jia, HUANG Lingmei, SHEN Ao, SHI Rongqing, SHEN Manhua, YU Xiaobo

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Future Reductions in Polar Cold Air Mass and Cold Air Outbreaks Revealed From Isentropic Analysis by Yuki Kanno, Toshiki Iwasaki

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Predictor Importance for Hydrological Fluxes of Global Hydrological and Land Surface Models by João Paulo L. F. Brêda, Lieke A. Melsen, Ioannis Athanasiadis, Albert VanDijk, Vinícius A. Siqueira, Anne Verhoef, Yijian Zeng, Martine van derPloeg

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Analysis on spatiotemporal evolution and meteorological driving factors of future meteorological drought in Northwest China based on CMIP6 by Jianan Shan, Rui Zhu, Zhenliang Yin, Xiaoya Deng, Tingting Wang, Huaqing Yang, Wei Zhang

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Human Enhanced Moisture Transport Exacerbated the Extreme Precipitation in Northern China by G. Song, Y. Sun

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Comprehensive Analysis of the Driving Forces Behind NDVI Variability in China Under Climate Change Conditions and Future Scenario Projections by Ao Li, Shuai Yin, Nan Li, Chong Shi

“…While existing studies provide some insights, long-term trend analysis and multifactor driver assessments for China are still lacking. …”
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Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis by Ling Wang, Jinglin Li, Boyang Zhuang, Shasha Huang, Meilin Fang, Cunze Wang, Wen Li, Mohan Zhang, Shurong Gong

“…The NMA was performed using Bayesian frequency theory methods. Indirect intercomparisons between programs were performed using a grading scale. …”
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Remote sensing-driven machine learning models for spatiotemporal analysis of coastal phytoplankton blooms under climate change scenarios by Siqi Wang, Shuzhe Huang, Yinguo Qiu, Xiang Zhang, Chao Wang, Nengcheng Chen

“…These models incorporate remote sensing data and key environmental variables from Coupled Model Intercomparison Project Phase 6 (CMIP6) outputs under different climate change scenarios. …”
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Enhancing water scarcity resilience in Egypt through machine learning-driven phenological crop mapping and water use efficiency analysis by Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Aqil Tariq, Rejoice Thomas, Cyril Rakovski, Hesham El-Askary

“…The projected VPD trend, based on ensemble analysis of Coupled Model Intercomparison Project Phase 6 models under SSP245 and SSP585 scenarios, indicates an increase in number of months with high VPD in future, reinforcing the need for adaptive irrigation strategies in the region.…”
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Agroclimatic Indicator Analysis Under Climate Change Conditions to Predict the Climatic Suitability for Wheat Production in the Upper Blue Nile Basin, Ethiopia by Wondimeneh Leul Demissew, Tadesse Terefe Zeleke, Kassahun Ture, Dejene K. Mengistu, Meaza Abera Fufa

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Performance of specific CMIP6 GCMs for simulating the historical rainfall and temperature climatology of Lake Tana sub-basin, Ethiopia by Tadele Melese Lebeza, Temesgen Gashaw, Haimanote Kebede Bayabil, Pieter R. van Oel, Abeyou W. Worqlul, Yihun T. Dile, Abebe Demissie Chukalla

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SUSD3D Computer Code as Part of the XSUN-2017 Windows Interface Environment for Deterministic Radiation Transport and Cross-Section Sensitivity-Uncertainty Analysis by Ivan A. Kodeli, Slavko Slavič

“…Examples of the use and validation are presented, including the S/U intercomparison exercise using the SNEAK-7 benchmarks involving the XSUN-2017 code system comparison with the codes such as TSUNAMI, SERPENT, and MCNP6, and the S/U analysis of the keff and βeff parameters for the MYRRHA accelerator driven system (ADS).…”
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Impact of Climate Change on the Thermoeconomic Performance of Binary-Cycle Geothermal Power Plants by Paolo Blecich, Igor Wolf, Tomislav Senčić, Igor Bonefačić

“…Different climate models from the most recent Climate Model Intercomparison Project (CMIP6) are compared against each other and against the observed temperature data. …”
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Performance Evaluation and Spatiotemporal Dynamics of Nine Reanalysis and Remote Sensing Evapotranspiration Products in China by Yujie Liu, Wen Wang, Tianqing Zhao, Zhiyuan Huo

“…We tried to merge three optimal data products (ETMonitor, PML_V2, and SiTHv2) using the triple collocation analysis method to improve the ET estimation, but the results showed that the improvement by the data fusion approach is marginal. …”
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An analysis of observed and predicted extreme heat and precipitation trends across four pulse producing regions in North America: North Dakota, Montana, Saskatchewan, and Northeast... by Sophia Weiss, Erin Coughlan de Perez

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