Abstract
The datasets of the five Land-offline Model Intercomparison Project (LMIP) experiments using the Chinese Academy of Sciences Land Surface Model (CAS-LSM) of CAS Flexible Global-Ocean-Atmosphere-Land System Model Grid-point version 3 (CAS FGOALS-g3) are presented in this study. These experiments were forced by five global meteorological forcing datasets, which contributed to the framework of the Land Surface Snow and Soil Moisture Model Intercomparison Project (LS3MIP) of CMIP6. These datasets have been released on the Earth System Grid Federation node. In this paper, the basic descriptions of the CAS-LSM and the five LMIP experiments are shown. The performance of the soil moisture, snow, and land-atmosphere energy fluxes was preliminarily validated using satellite-based observations. Results show that their mean states, spatial patterns, and seasonal variations can be reproduced well by the five LMIP simulations. It suggests that these datasets can be used to investigate the evolutionary mechanisms of the global water and energy cycles during the past century.
摘 要
本文介绍了中国科学院大气物理研究所研发的CAS FGOALS-g3模式的陆面模块CAS-LSM (Chinese Academy of Sciences Land Surface Model)在第六次国际耦合模式比较计划(CMIP6)的陆面积雪和土壤湿度模式比较计划(LS3MIP)试验中模拟的5个历史模拟试验数据集. 这些试验结果分别由5个全球气象强迫数据集驱动CAS-LSM模拟获得, 数据已经发表在Earth System Grid Federation (ESGF, https://esgf-node.llnl.gov/projects/cmip6/). 文章简要介绍了CAS-LSM模式的细节、 试验设置、 以及模式输出的试验结果, 并利用卫星观测数据针对各组试验的模拟结果进行了初步的评估和分析. 研究展示出CAS-LSM模式能够重建出土壤湿度、 积雪覆盖率、 感/潜热通量、 陆地水储量等陆表变量的气候平均态、 空间分布和季节变化特征. 本文所涉及的试验结果将有助于研究和揭示过去百年全球碳、水 循环要素的时空演变规律.
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Acknowledgements
This work was supported by the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (Grant No. 2019QZKK0206), the Youth Innovation Promotion Association CAS, the National Natural Science Foundation of China (Grant No. 41830967), and National Key Scientific and Technological Infrastructure project “Earth System Science Numerical Simulator Facility” (EarthLab). We would like to thank the editors and three reviewers for their helpful comments that improved the manuscript.
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Data availability statement
The data in support of the findings of this study are available from https://esgf-node.llnl.gov/projects/cmip6/.
The citation for LS3MIP of CAS FGOALS-g3 is “CAS FGOALS-g3 model output prepared for CMIP6 LS3MIP. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2052”.
The citation for land-hist-gswpO is “CAS FGOALS-g3 model output prepared for CMIP6 LS3MIP land-hist. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.3370”.
The citation for land-hist-princeton is “CAS FGOALS-g3 model output prepared for CMIP6 LS3MIP land-hist-princeton. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.3378”.
The citation for land-hist-crujra is “CAS FGOALS-g3 model output prepared for CMIP6 LS3MIP land-hist-cruNcep. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.3376”.
The citation for land-hist-wfdei is “CAS FGOALS-g3 model output prepared for CMIP6 LS3MIP land-hist-wfdei. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.3380”.
The CRUNCEP simulations are available upon request. Please contact Binghao JIA at bhjia@mail.iap.ac.cn.
The ESA CCI soil moisture data were downloaded from http://www.esa-Soilmoisture-cci.org. The MODIS snow cover fraction data were downloaded from https://nsidc.org/data/MOD10CM/versions/6. The FLUXCOM data were downloaded from the Data Portal of the Max Planck Institute for Biogeochemistry (https://www.bgc-jena.mpg.de/geodb/projects/Home.php). GRACE mascon CSR RL06 data were downloaded from http://www2.csr.utexas.edu/grace.
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Jia, B., Wang, L., Wang, Y. et al. CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project. Adv. Atmos. Sci. 38, 862–874 (2021). https://doi.org/10.1007/s00376-021-0293-x
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DOI: https://doi.org/10.1007/s00376-021-0293-x