Near real-time land surface temperature reconstruction from FY-4A satellite using spatio-temporal attention network by Ruijie Li, Hequn Yang, Xu Zhang, Xin Xu, Liuqing Shao, Kaixu Bai

“…Ground validation results demonstrate better performance of STAN over other companion methods, with root-mean-square errors of 1.99 K and 2.89 K under clear and cloudy sky respectively, when reconstructing LST data collected from the Chinese Fengyun-4A geostationary satellite in the Yangtze River Delta. Intercomparison studies and error analysis also confirm the superiority of STAN, showing high LST reconstruction accuracy across different land covers and seasons. …”
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Predicting suitable habitats for Asian elephant (Elephas maximus) in Tropical Asia under changing climatic scenarios by Kazi Al Muqtadir Abir, Biplob Dey, Mohammad Redowan, Ashraful Haque, Romel Ahmed

“…To evaluate habitat suitability, the analysis considered two distinct socioeconomic pathways (SSP 245 and SSP 370) across two future periods (2041–2060 and 2061–2080). …”
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Inter-model differences in 21st century glacier runoff for the world's major river basins by F. Wimberly, L. Ultee, L. Schuster, M. Huss, M. Huss, M. Huss, D. R. Rounce, F. Maussion, F. Maussion, S. Coats, J. Mackay, J. Mackay, E. Holmgren

“…While the glacier contribution to global sea level rise and associated uncertainties have been quantified in model intercomparison studies, comparatively less focus has been directed towards the interannual changes in runoff caused by glacier recession. …”
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Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature by S. Schöngart, S. Schöngart, L. Gudmundsson, M. Hauser, P. Pfleiderer, Q. Lejeune, S. Nath, S. I. Seneviratne, C.-F. Schleussner, C.-F. Schleussner, C.-F. Schleussner

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GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty by H. Konrad, R. Roca, A. Niedorf, S. Finkensieper, M. Schröder, S. Cloché, G. Panegrossi, P. Sanò, C. Kidd, C. Kidd, R. A. Jucá Oliveira, R. A. Jucá Oliveira, K. Fennig, T. Sikorski, M. Lemoine, R. Hollmann

“…Likewise, GIRAFE v1 proves to be suitable for the analysis of regional precipitation extremes, e.g. in their relation to sea surface temperatures. …”
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The Ocean System Pathways (OSPs): A New Scenario and Simulation Framework to Investigate the Future of the World Fisheries by O. Maury, D. P. Tittensor, T. D. Eddy, E. H. Allison, T. Bahri, N. Barrier, L. Campling, W. W. L. Cheung, K. Frieler, E. A. Fulton, P. Guillotreau, R. F. Heneghan, V. W. Y. Lam, D. Leclère, M. Lengaigne, H. Lotze‐Campen, C. Novaglio, K. Ortega‐Cisneros, J. Rault, J. Schewe, Y.‐J. Shin, H. Sloterdijk, D. Squires, U. R. Sumaila, A. N. Tidd, B. vanRuijven, J. Blanchard

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Effects of 2010–2045 climate change on ozone levels in China under a carbon neutrality scenario: key meteorological parameters and processes by L. Kang, H. Liao, K. Li, X. Yue, Y. Yang, Y. Wang

“…In eastern China (EC), GCAP 2.0 and six other models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) all projected increases in daily maximum 2 m temperature (T2max), surface incoming shortwave radiation (SW), and planet boundary layer height and decreases in relative humidity (RH) and sea level pressure. …”
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Two sets of bias-corrected regional UK Climate Projections 2018 (UKCP18) of temperature, precipitation and potential evapotranspiration for Great Britain by N. Reyniers, Q. Zha, N. Addor, N. Addor, T. J. Osborn, T. J. Osborn, N. Forstenhäusler, Y. He

“…Two methods were used to bias-correct UKCP18-RCM: non-parametric quantile mapping using empirical quantiles and a variant developed for the third phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) designed to preserve the climate change signal. …”
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Measurement report: Long-term measurements of surface ozone and trends in semi-natural sub-Saharan African ecosystems by H. E. V. Donnou, A. B. Akpo, M. Ossohou, M. Ossohou, C. Delon, V. Yoboué, D. Laouali, M. Ouafo-Leumbe, P. G. Van Zyl, O. Ndiaye, E. Gardrat, M. Dias-Alves, C. Galy-Lacaux

“…The data are collected with passive samplers and archived as monthly averages; quality assurance is maintained by INDAAF's calibration and intercomparison protocols with other programmes employing the same systems. …”
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Determination of aerosol composition by ED-XRF on Teflon and quartz substrates: potentialities and limits by F. Unga, G. Calzolai, M. Chiari, E. Cuccia, C. Colombi, M. Franciosa, A. Dinoi, E. Merico, A. Pennetta, N. Gómez-Sánchez, C. Mapelli, S. Pareti, C. Perrino, E. Yubero, D. Contini

“…However, these correction factors were dependent on the instrument and method used for the analysis.</p>…”
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Seasonality and scenario dependence of rapid Arctic sea ice loss events in CMIP6 simulations by A. Sticker, F. Massonnet, T. Fichefet, P. DeRepentigny, A. Jahn, A. Jahn, D. Docquier, C. Wyburn-Powell, C. Wyburn-Powell, D. Quint, E. Shivers, M. Ortiz

“…This study presents the first comprehensive analysis of RILEs in a diverse set of 26 CMIP6 models, including five large ensembles, following both low- and high-warming scenarios over the period from 1970 to 2100. …”
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Graphical representation of global water models by H. Müller Schmied, H. Müller Schmied, S. N. Gosling, M. Garnsworthy, L. Müller, C.-E. Telteu, A. K. Ahmed, L. S. Andersen, J. Boulange, P. Burek, J. Chang, H. Chen, L. Gudmundsson, M. Grillakis, L. Guillaumot, N. Hanasaki, A. Koutroulis, R. Kumar, G. Leng, J. Liu, J. Liu, J. Liu, X. Liu, I. Menke, I. Menke, V. Mishra, V. Mishra, Y. Pokhrel, O. Rakovec, O. Rakovec, L. Samaniego, L. Samaniego, Y. Satoh, H. L. Shah, M. Smilovic, T. Stacke, E. Sutanudjaja, W. Thiery, A. Tsilimigkras, Y. Wada, N. Wanders, T. Yokohata

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Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

“…Time series analysis of synthetic aperture radar data (SAR) offers a systematic, dynamic and comprehensive way to monitor forests. …”
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Observational studies of traditional Chinese medicine may provide evidence nearly consistent with the randomized controlled trials: A meta-epidemiological study by Haiqi Song, Nian Li, Wenjie Yang, Miaomiao Wu, Xiaoyang Liao, Yonggang Zhang

“…Ratio of odds ratio (ROR) of randomized controlled trials and observational studies were calculated individually and intercomparisons were conducted by pool analysis. Results: A total of 11 studies and 30 outcome pairs were included in the pool analysis. …”
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Impact of the stratosphere on tropospheric climate change by Michael Sigmond, John F. Scinocca, Paul J. Kushner

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Benchmark Framework for Global River Models by Xudong Zhou, Dai Yamazaki, Menaka Revel, Gang Zhao, Prakat Modi

“…The current iteration of the benchmark system is suitable for global‐scale assessments and can effectively evaluate the impact of model development and facilitate intercomparisons among different models. The source codes are accessible from https://doi.org/10.5281/zenodo.10903210.…”
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An overview of the high-resolution global LAnd surface satellite (Hi-GLASS) products suite by Shunlin Liang, Tao He, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Liangyun Liu, Xiaobang Liu, Han Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Yufang Zhang, Feng Tian, Leshi Li

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Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models by Annachiara Bellini, Henri Diémoz, Gian Paolo Gobbi, Luca Di Liberto, Alessandro Bracci, Francesca Barnaba

“…This further allowed measurement vs. model intercomparisons and relevant examination of discrepancies. …”
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