Advanced Search
Article Contents

How Does the Partitioning of Evapotranspiration and Runoff between Different Processes Affect the Variability and Predictability of Soil Moisture and Precipitation?


doi: 10.1007/BF02690805

  • Water stored as part of the land surface is lost to evapotranspiration and runoff on different time scales,and the partitioning between these time scales is important for modeling soil water in a climate model.Different time scales are imposed on evapotranspiration primarily because it is derived from differentreservoirs with different storage capacities, from the very rapid evaporation of canopy stores to the slowremoval by transpiration of rooting zone soil moisture. Runoff likewise ranges in time scale from rapidsurface terms to the slower base-flow. The longest time scale losses of water determine the slow variationof soil moisture and hence the longer time scale effects of soil moisture on precipitation. This paper showswith a simple analysis how shifting the partitioning of evapotranspiration between the different reservoirsaffects the variability of soil moisture and precipitation. In particular, it is concluded that a shift toshorter time scale reservoirs shifts the variance of precipitation from that which is potentially predictableto unpredictable.
  • [1] TANG Yakun, WEN Xuefa, SUN Xiaomin, ZHANG Xinyu, WANG Huimin, 2014: The Limiting Effect of Deep Soil Water on Evapotranspiration of a Subtropical Coniferous Plantation Subjected to Seasonal Drought, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 385-395.  doi: 10.1007/s00376-013-2321-y
    [2] WANG Hesong, JIA Gensuo, 2013: Regional Estimates of Evapotranspiration over Northern China Using a Remote-sensing-based Triangle Interpolation Method, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1479-1490.  doi: 10.1007/s00376-013-2294-x
    [3] ZHU Jiawen, ZENG Xiaodong, 2015: Comprehensive Study on the Influence of Evapotranspiration and Albedo on Surface Temperature Related to Changes in the Leaf Area Index, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 935-942.  doi: 10.1007/s00376-014-4045-z
    [4] REN Guoyu, DING Yihui, ZHAO Zongci, ZHENG Jingyun, WU Tongwen, TANG Guoli, XU Ying, 2012: Recent Progress in Studies of Climate Change in China, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 958-977.  doi: 10.1007/s00376-012-1200-2
    [5] Binghao JIA, Xin LUO, Longhuan WANG, Xin LAI, 2023: Changes in Water Use Efficiency Caused by Climate Change, CO2 Fertilization, and Land Use Changes on the Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 144-154.  doi: 10.1007/s00376-022-2172-5
    [6] Alexey V. ELISEEV, Igor I. MOKHOV, 2011: Uncertainty of Climate Response to Natural and Anthropogenic Forcings Due to Different Land Use Scenarios, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1215-1232.  doi: 10.1007/s00376-010-0054-8
    [7] ZHANG Lixia* and ZHOU Tianjun, , 2014: An Assessment of Improvements in Global Monsoon Precipitation Simulation in FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 165-178.  doi: 10.1007/s00376-013-2164-6
    [8] HOU Jiangtao, JIA Gensuo, ZHAO Tianbao, WANG Hesong, TANG Bohui, , 2014: Satellite-Based Estimation of Daily Average Net Radiation under Clear-Sky Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 705-720.  doi: 10.1007/s00376-013-3047-6
    [9] Chujie GAO, Haishan CHEN, Shanlei SUN, Bei XU, Victor ONGOMA, Siguang ZHU, Hedi MA, Xing LI, 2018: Regional Features and Seasonality of Land-Atmosphere Coupling over Eastern China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 689-701.  doi: 10.1007/s00376-017-7140-0
    [10] Yonghong LIU, Bing DANG, Yongming XU, Fuzhong WENG, 2021: An Observational Study on the Local Climate Effect of the Shangyi Wind Farm in Hebei Province, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1905-1919.  doi: 10.1007/s00376-021-0290-0
    [11] Jozsef SZILAGYI, Richard CRAGO, Ning MA, 2020: Dynamic Scaling of the Generalized Complementary Relationship Improves Long-term Tendency Estimates in Land Evaporation, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 975-986.  doi: 10.1007/s00376-020-0079-6
    [12] WANG Linlin, GAO Zhiqiu, MIAO Shiguang, GUO Xiaofeng, SUN Ting, Maofeng LIU, Dan LI, 2015: Contrasting Characteristics of the Surface Energy Balance between the Urban and Rural Areas of Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 505-514.  doi: 10.1007/s00376-014-3222-4
    [13] Xia ZHANG, Mingxing LI, Zhuguo MA, Qing YANG, Meixia LV, Robin Clark, 2019: Assessment of an Evapotranspiration Deficit Drought Index in Relation to Impacts on Ecosystems, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1273-1287.  doi: 10.1007/s00376-019-9061-6
    [14] Alexey V.ELISEEV, Igor I. MOKHOV, 2003: Amplitude-Phase Characteristics of the Annual Cycle of Surface Air Temperature in the Northern Hemisphere, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 1-16.  doi: 10.1007/BF03342045
    [15] Bi Xunqiang, 1997: Parallel Computing of a Climate Model on the Dawn 1000 by Domain Decomposition Method, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 569-572.  doi: 10.1007/s00376-997-0075-0
    [16] Susannah M. BURROWS, Aritra DASGUPTA, Sarah REEHL, Lisa BRAMER, Po-Lun MA, Philip J. RASCH, Yun QIAN, 2018: Characterizing the Relative Importance Assigned to Physical Variables by Climate Scientists when Assessing Atmospheric Climate Model Fidelity, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1101-1113.  doi: 10.1007/s00376-018-7300-x
    [17] Jinliang Liu, Han-Ru Cho, 2001: Effects of Topographic Slopes on Hydrological Proecsses and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 733-741.
    [18] Zhang Yu, Lu Shihua, 2002: Development and Validation of a Simple Frozen Soil Parameterization Scheme Used for Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 513-527.  doi: 10.1007/s00376-002-0083-z
    [19] Song Yukuan, Chen Longxun, Dong Min, 1994: Numerical Simulation for the Impact of Deforestation on Climate in China and Its Neighboring Regions, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 212-223.  doi: 10.1007/BF02666547
    [20] Wang Huijun, Zhou Guangqing, Lin Zhaohui, Zhao Yan, Guo Yufu, Ma Zhuguo, 2001: Recent Researches on the Short-Term Climate Prediction at IAP-A Brief Review, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 929-936.

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 May 2003
Manuscript revised: 10 May 2003
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

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

How Does the Partitioning of Evapotranspiration and Runoff between Different Processes Affect the Variability and Predictability of Soil Moisture and Precipitation?

  • 1. Georgia Institute of Technology, Atlanta GA,University of Connecticut, Storrs CT,University of Arizona, Tucson AZ,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100080

Abstract: Water stored as part of the land surface is lost to evapotranspiration and runoff on different time scales,and the partitioning between these time scales is important for modeling soil water in a climate model.Different time scales are imposed on evapotranspiration primarily because it is derived from differentreservoirs with different storage capacities, from the very rapid evaporation of canopy stores to the slowremoval by transpiration of rooting zone soil moisture. Runoff likewise ranges in time scale from rapidsurface terms to the slower base-flow. The longest time scale losses of water determine the slow variationof soil moisture and hence the longer time scale effects of soil moisture on precipitation. This paper showswith a simple analysis how shifting the partitioning of evapotranspiration between the different reservoirsaffects the variability of soil moisture and precipitation. In particular, it is concluded that a shift toshorter time scale reservoirs shifts the variance of precipitation from that which is potentially predictableto unpredictable.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return