force restore model;
maximum entropy production;
coupled land surface model;
soil moisture;
surface temperature;
surface heat fluxes;
ENERGY-BALANCE CLOSURE;
BULK TRANSFER-COEFFICIENT;
BARE SOIL;
EXPERIMENT EBEX-2000;
LATENT-HEAT;
EVAPOTRANSPIRATION;
EVAPORATION;
PREDICTION;
PARAMETERIZATION;
LAYER;
D O I:
10.1002/2015JD024586
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
A coupled force-restore model of surface soil temperature and moisture (FRMEP) is formulated by incorporating the maximum entropy production model of surface heat fluxes and including the gravitational drainage term. The FRMEP model driven by surface net radiation and precipitation are independent of near-surface atmospheric variables with reduced sensitivity to the uncertainties of model input and parameters compared to the classical force-restore models (FRM). The FRMEP model was evaluated using observations from two field experiments with contrasting soil moisture conditions. The modeling errors of the FRMEP predicted surface temperature and soil moisture are lower than those of the classical FRMs forced by observed or bulk formula based surface heat fluxes (bias 1 similar to 2 degrees C versus similar to 4 degrees C, 0.02m(3)m(-3) versus 0.05m(3)m(-3)). The diurnal variations of surface temperature, soil moisture, and surface heat fluxes are well captured by the FRMEP model measured by the high correlations between the model predictions and observations (r0.84). Our analysis suggests that the drainage term cannot be neglected under wet soil condition. A 1year simulation indicates that the FRMEP model captures the seasonal variation of surface temperature and soil moisture with bias less than 2 degrees C and 0.01m(3)m(-3) and correlation coefficients of 0.93 and 0.9 with observations, respectively.
机构:
China Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing 100083, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Duan, Hao
Zhao, Hongli
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机构:
China Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing 100083, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Zhao, Hongli
Li, Qiuju
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机构:
Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing 100083, Peoples R China
China Univ Geosci, Sch Water Resources & Environm, Beijing 100083, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Li, Qiuju
Xu, Haowei
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机构:
China Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing 100083, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Xu, Haowei
Han, Chengxin
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机构:
China Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing 100083, Peoples R China
Lanzhou Jiaotong Univ, Fac Geomatics, Lanzhou 730070, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing 100048, Peoples R China
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
Yan, Min
Li, Zengyuan
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机构:
Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
Li, Zengyuan
Tian, Xin
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机构:
Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
Tian, Xin
Zhang, Li
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机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
Zhang, Li
Zhou, Yu
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机构:
Clark Univ, Grad Sch Geog, Worcester, MA 01610 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
机构:
Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R ChinaHohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
Zhou, Jianhong
Crow, Wade T.
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机构:
USDA Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USAHohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
Crow, Wade T.
Wu, Zhiyong
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机构:
Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
Yangtze Inst Conservat & Dev, Nanjing 210098, Peoples R ChinaHohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
Wu, Zhiyong
Dong, Jianzhi
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机构:
Tianjin Univ, Sch Earth Syst Sci, Tianjin 300072, Peoples R ChinaHohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
Dong, Jianzhi
He, Hai
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机构:
Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R ChinaHohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
He, Hai
Feng, Huihui
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机构:
Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R ChinaHohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China