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Impacts of Systematic Precipitation Bias on Simulations of Water and Energy Balances in Northwest America


doi: 10.1007/s00376-007-0739-9

  • At high latitudes and in mountainous areas, evaluation and validation of water and energy flux simulations are greatly affected by systematic precipitation errors. These errors mainly come from topographic effects and undercatch of precipitation gauges. In this study, the Land Dynamics (LaD) land surface model is used to investigate impacts of systematic precipitation bias from topography and wind-blowing on water and energy flux simulation in Northwest America. The results show that topographic and wind adjustment reduced bias of streamflow simulations when compared with observed streamflow at 14 basins. These systematic biases resulted in a -50%--100% bias for runoff simulations, a -20%--20% bias for evapotranspiration, and a -40%--40% bias for sensible heat flux, subject to different locations and adjustments, when compared with the control run. Uncertain gauge adjustment leads to a 25% uncertainty for precipitation, a 20%--100% uncertainty for runoff simulation, a less-than-10% uncertainty for evapotranspiration, and a less-than-20% uncertainty for sensible heat flux.
  • [1] WANG Runyuan, ZHANG Qiang, 2011: An Assessment of Storage Terms in the Surface Energy Balance of a Subalpine Meadow in Northwest China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 691-698.  doi: 10.1007/s00376-010-9152-x
    [2] 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.
    [3] Chen Yingyi, Chao Jiping, 1984: A TWO-DIMENSIONAL ENERGY BALANCE CLIMATE MODEL INCLUDING RADIATION AND ICE CAPS-ALBEDO FEEDBACK, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 234-255.  doi: 10.1007/BF02678136
    [4] Lu Yurong, Gao Guodong, 1984: A STUDY OF WATER BALANCE IN CHINA, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 165-187.  doi: 10.1007/BF02678129
    [5] Shou Shaowen, Li Shenshen, 1991: Diagnosis of Kinetic Energy Balance of a Decaying Onland Typhoon, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 479-488.  doi: 10.1007/BF02919270
    [6] KANG Xianbiao, HUANG Ronghui, WANG Zhanggui, ZHANG Rong-Hua, 2014: Sensitivity of ENSO Variability to Pacific Freshwater Flux Adjustment in the Community Earth System Model, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1009-1021.  doi: 10.1007/s00376-014-3232-2
    [7] 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
    [8] SUN Shufen, ZHANG Xia, 2004: Effect of the Lower Boundary Position of the Fourier Equation on the Soil Energy Balance, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 868-878.  doi: 10.1007/BF02915589
    [9] Banglin ZHANG, Vijay TALLAPRAGADA, Fuzhong WENG, Jason SIPPEL, Zaizhong MA, 2016: Estimation and Correction of Model Bias in the NASA/GMAO GEOS5 Data Assimilation System: Sequential Implementation, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 659-672.  doi: 10.1007/ s00376-015-5155-y
    [10] Shuang LUO, Yunfei FU, Shengnan ZHOU, Xiaofeng WANG, Dongyong WANG, 2020: Analysis of the Relationship between the Cloud Water Path and Precipitation Intensity of Mature Typhoons in the Northwest Pacific Ocean, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 359-376.  doi: 10.1007/s00376-020-9204-9
    [11] YANG Yang, REN Rongcai, Ming CAI, RAO Jian, 2015: Attributing Analysis on the Model Bias in Surface Temperature in the Climate System Model FGOALS-s2 through a Process-Based Decomposition Method, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 457-469.  doi: 10.1007/s00376-014-4061-z
    [12] SHI Chun'e, ZHANG Baoning, 2008: Tropospheric NO2 Columns over Northeastern North America: Comparison of CMAQ Model Simulations with GOME Satellite Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 59-71.  doi: 10.1007/s00376-008-0059-8
    [13] Fang Juan, Wu Rongsheng, 2002: Energetics of Geostrophic Adjustment in Rotating Flow, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 845-854.  doi: 10.1007/s00376-002-0049-1
    [14] Fang Juan, Wu Rongsheng, 2001: Topographic Effect on Geostrophic Adjustment and Frontogenesis, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 524-538.  doi: 10.1007/s00376-001-0042-0
    [15] Majid M. Farahani, Wu Rongsheng, 1998: A Numerical Study of Geostrophic Adjustment and Frontogenesis, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 179-192.  doi: 10.1007/s00376-998-0038-0
    [16] ZHU Zhilin, SUN Xiaomin, ZHANG Renhua, 2003: Statistical Analysis and Comparative Study of Energy Balance Components Estimated Using Micrometeorological Techniques during HUBEX/IOP 1998/99, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 285-291.  doi: 10.1007/s00376-003-0014-7
    [17] Lei WANG, Qing BAO, Wei-Chyung WANG, Yimin LIU, Guo-Xiong WU, Linjiong ZHOU, Jiandong LI, Hua GONG, Guokui NIAN, Jinxiao LI, Xiaocong WANG, Bian HE, 2019: LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics, ADVANCES IN ATMOSPHERIC SCIENCES, , 697-710.  doi: 10.1007/s00376-019-8196-9
    [18] He Jinhai, T. Murakami, T. Nakazawa, 1987: ENERGY BALANCE IN 40-50 DAY PERIODIC OSCILLATION OVER THE ASIAN SUMMER MONSOON REGION DURING THE 1979 SUMMER, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 66-73.  doi: 10.1007/BF02656662
    [19] YANG Kun, Toshio KOIKE, 2008: Satellite Monitoring of the Surface Water and Energy Budget in the Central Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 974-985.  doi: 10.1007/s00376-008-0974-8
    [20] ZHANG Xia, SUN Shufen, 2011: The Impact of Soil Freezing/Thawing Processes on Water and Energy Balances, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 169-177.  doi: 10.1007/s00376-010-9206-0

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Manuscript History

Manuscript received: 10 September 2007
Manuscript revised: 10 September 2007
通讯作者: 陈斌, bchen63@163.com
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Impacts of Systematic Precipitation Bias on Simulations of Water and Energy Balances in Northwest America

  • 1. Atmospheric and Oceanic Science Program and NOAA Geophysical Fluid Dynamics Laboratory, Princeton University, Princeton, New Jersey, USA,State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081

Abstract: At high latitudes and in mountainous areas, evaluation and validation of water and energy flux simulations are greatly affected by systematic precipitation errors. These errors mainly come from topographic effects and undercatch of precipitation gauges. In this study, the Land Dynamics (LaD) land surface model is used to investigate impacts of systematic precipitation bias from topography and wind-blowing on water and energy flux simulation in Northwest America. The results show that topographic and wind adjustment reduced bias of streamflow simulations when compared with observed streamflow at 14 basins. These systematic biases resulted in a -50%--100% bias for runoff simulations, a -20%--20% bias for evapotranspiration, and a -40%--40% bias for sensible heat flux, subject to different locations and adjustments, when compared with the control run. Uncertain gauge adjustment leads to a 25% uncertainty for precipitation, a 20%--100% uncertainty for runoff simulation, a less-than-10% uncertainty for evapotranspiration, and a less-than-20% uncertainty for sensible heat flux.

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