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Volume 22 Issue 5

Sep.  2005

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2005 >  22(5): 720-729

The Soil Moisture of China in a High Resolution Climate-Vegetation Model

  • 1.

    Laboratory for Climate Study, National Climate Center, Beijing 100081;START Regional Center for Temperate East Asia and Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Laboratory for Climate Study, National Climate Center, Beijing 100081;START Regional Center for Temperate East Asia and Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Laboratory for Climate Study, National Climate Center, Beijing 100081


doi: 10.1007/BF02918715

  • The spatial distribution of soil moisture, especially the temporal variation at seasonal and interannual scales, is difficult for many land surface models (LSMs) to capture partly due to the deficiencies of the LSMs and the highly spatial variability of soil moisture, which makes it problematic to simulate the moisture for climate studies. However the soil moisture plays an important role in influencing the energy and hydrological cycles between the land and air, so it should be considered in land surface models. In this paper, a soil moisture simulation in China with a T213 resolution (about 0.5625°× 0.5625°) is compared to the observational data, and its relationship to precipitation is explored. The soil moisture distribution agrees roughly with the observations, and the soil moisture pattern reflects the variation and intensity of the precipitation. In particular, for the 1998 summer catastrophic floods along the Yangtze River, the soil moisture remains high in this region from July to August and represents the flood well. The seasonal cycle of soil moisture is roughly consistent with the observed data, which is a good calibration forthe ground simulation capacity of the Atmosphere-Vegetation Interaction Model (AVIM) with respect to this tough problem for land surface models.
  • [1] DAN Li, JI Jinjun, LIU Huizhi, 2008: Use of a Land Surface Model to Evaluate the Observed Soil Moisture of Grassland at the Tongyu Reference Site, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 1073-1084.  doi: 10.1007/s00376-008-1073-6
    [2] Changyu ZHAO, Haishan CHEN, Shanlei SUN, 2018: Evaluating the Capabilities of Soil Enthalpy, Soil Moisture and Soil Temperature in Predicting Seasonal Precipitation, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 445-456.  doi: 10.1007/s00376-017-7006-5
    [3] Fuqiang YANG, Li DAN, Jing PENG, Xiujing YANG, Yueyue LI, Dongdong GAO, 2019: Subdaily to Seasonal Change of Surface Energy and Water Flux of the Haihe River Basin in China: Noah and Noah-MP Assessment, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 79-92.  doi: 10.1007/s00376-018-8035-4
    [4] Chujie GAO, Gen LI, 2023: Enhanced Seasonal Predictability of Spring Soil Moisture over the Indo-China Peninsula for Eastern China Summer Precipitation under Non-ENSO Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1632-1648.  doi: 10.1007/s00376-023-2361-x
    [5] SONG Yaoming, GUO Weidong, ZHANG Yaocun, 2009: Numerical Study of Impacts of Soil Moisture on the Diurnal and Seasonal Cycles of Sensible/Latent Heat Fluxes over Semi-arid Region, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 319-326.  doi: 10.1007/s00376-009-0319-2
    [6] Yizhe HAN, Dabang JIANG, Dong SI, Yaoming MA, Weiqiang MA, 2024: Time-lagged Effects of the Spring Atmospheric Heat Source over the Tibetan Plateau on Summer Precipitation in Northeast China during 1961–2020: Role of Soil Moisture, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-2363-8
    [7] JIE Weihua, WU Tongwen, WANG Jun, LI Weijing, LIU Xiangwen, 2014: Improvement of 6-15 Day Precipitation Forecasts Using a Time-Lagged Ensemble Method, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 293-304.  doi: 10.1007/s00376-013-3037-8
    [8] LIU Ge, WU Renguang, ZHANG Yuanzhi, and NAN Sulan, 2014: The Summer Snow Cover Anomaly over the Tibetan Plateau and Its Association with Simultaneous Precipitation over the Mei-yu-Baiu region, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 755-764.  doi: 10.1007/s00376-013-3183-z
    [9] WANG Jun, BAO Qing, Ning ZENG, LIU Yimin, WU Guoxiong, JI Duoying, 2013: Earth System Model FGOALS-s2: Coupling a Dynamic Global Vegetation and Terrestrial Carbon Model with the Physical Climate System Model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1549-1559.  doi: 10.1007/s00376-013-2169-1
    [10] YAN Zhongwei, XIA Jiangjiang, QIAN Cheng, ZHOU Wen, 2011: Changes in Seasonal Cycle and Extremes in China during the Period 1960--2008, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 269-283.  doi: 10.1007/s00376-010-0006-3
    [11] GUAN Xiaodan, HUANG Jianping, GUO Ni, BI Jianrong, WANG Guoyin, 2009: Variability of Soil Moisture and Its Relationship with Surface Albedo and Soil Thermal Parameters over the Loess Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 692-700.  doi: 10.1007/s00376-009-8198-0
    [12] SONG Lianchun, A. J. CANNON, P. H. WHITFIELD, 2007: Changes in Seasonal Patterns of Temperature and Precipitation in China During 1971--2000, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 459-473.  doi: 10.1007/s00376-007-0459-1
    [13] Minwei Qian, N. Loglisci, C. Cassardo, A. Longhetto, C. Giraud, 2001: Energy and Water Balance at Soil-Air Interface in a Sahelian Region, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 897-909.
    [14] Gudongze LI, Haoming CHEN, Mingyue XU, Chun ZHAO, Lei ZHONG, Rui LI, Yunfei FU, Yanhong GAO, 2022: Impacts of Topographic Complexity on Modeling Moisture Transport and Precipitation over the Tibetan Plateau in Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1151-1166.  doi: 10.1007/s00376-022-1409-7
    [15] Akio KITOH, Masahiro HOSAKA, Yukimasa ADACHI, Kenji KAMIGUCHI, 2005: Future Projections of Precipitation Characteristics in East Asia Simulated by the MRI CGCM2, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 467-478.  doi: 10.1007/BF02918481
    [16] ZHANG Xinping, LIU Jingmiao, HE Yuanqing, TIAN Lide, YAO Tandong, 2005: Humidity Effect and Its Influence on the Seasonal Distribution of Precipitation δ18O in Monsoon Regions, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 271-277.  doi: 10.1007/BF02918516
    [17] NIE Suping, LUO Yong, ZHU Jiang, 2008: Trends and Scales of Observed Soil Moisture Variations in China, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 43-58.  doi: 10.1007/s00376-008-0043-3
    [18] GUO Zhun, ZHOU Tianjun, 2015: Seasonal Variation and Physical Properties of the Cloud System over Southeastern China Derived from CloudSat Products, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 659-670.  doi: 10.1007/s00376-014-4070-y
    [19] Yuanxin LIU, Lijing CHENG, Yuying PAN, Zhetao TAN, John ABRAHAM, Bin ZHANG, Jiang ZHU, Junqiang SONG, 2022: How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1650-1672.  doi: 10.1007/s00376-022-1381-2
    [20] ZHANG Shuwen, LI Deqin, QIU Chongjian, 2011: A Multimodel Ensemble-based Kalman Filter for the Retrieval of Soil Moisture Profiles, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 195-206.  doi: 10.1007/s00376-010-9200-6
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    • Manuscript History

    Manuscript received: 10 September 2005
    Manuscript revised: 10 September 2005
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    The Soil Moisture of China in a High Resolution Climate-Vegetation Model

    • 1. Laboratory for Climate Study, National Climate Center, Beijing 100081;START Regional Center for Temperate East Asia and Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Laboratory for Climate Study, National Climate Center, Beijing 100081;START Regional Center for Temperate East Asia and Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Laboratory for Climate Study, National Climate Center, Beijing 100081
    • Manuscript received: 2005-09-10
    • Manuscript revised: 2005-09-10

    Abstract: The spatial distribution of soil moisture, especially the temporal variation at seasonal and interannual scales, is difficult for many land surface models (LSMs) to capture partly due to the deficiencies of the LSMs and the highly spatial variability of soil moisture, which makes it problematic to simulate the moisture for climate studies. However the soil moisture plays an important role in influencing the energy and hydrological cycles between the land and air, so it should be considered in land surface models. In this paper, a soil moisture simulation in China with a T213 resolution (about 0.5625°× 0.5625°) is compared to the observational data, and its relationship to precipitation is explored. The soil moisture distribution agrees roughly with the observations, and the soil moisture pattern reflects the variation and intensity of the precipitation. In particular, for the 1998 summer catastrophic floods along the Yangtze River, the soil moisture remains high in this region from July to August and represents the flood well. The seasonal cycle of soil moisture is roughly consistent with the observed data, which is a good calibration forthe ground simulation capacity of the Atmosphere-Vegetation Interaction Model (AVIM) with respect to this tough problem for land surface models.

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