[1]YANG Yang,SUN Xuying,ZHANG Liang,et al.Estimation of Terrestrial Evapotranspiration of Grassland in Semi-arid Region of the Loess Plateau by Simulation-Correction Method[J].Research of Soil and Water Conservation,2020,27(02):178-184,192.
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Estimation of Terrestrial Evapotranspiration of Grassland in Semi-arid Region of the Loess Plateau by Simulation-Correction Method
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 02
Page number:
178-184,192
Column:
Public date:
2020-03-30
- Title:
- Estimation of Terrestrial Evapotranspiration of Grassland in Semi-arid Region of the Loess Plateau by Simulation-Correction Method
- Keywords:
- terrestrial evapotranspiration; land surface model; normalized vegetation index; simulation-correction method; dry and wet condition
- CLC:
- P404; P426.2
- DOI:
- -
- Abstract:
- In order to study regional climate change and drought monitoring, it's necessary to estimate terrestrial evapotranspiration accurately. Based on the observation data of Semi-Arid Climate Observatory and Laboratory of Lanzhou University(SACOL), the evapotranspiration simulated by Community Land Surface Model(CLM 4.0)and the normalized vegetation index(NDVI)observed by MODIS, a new method named simulation-correction was developed to estimate the terrestrial evapotranspiration over the semi-arid region of Loess Plateau. The results show that CLM can simulate the trend of terrestrial evapotranspiration well, but there are some deviations between the simulated and observed values; the relative error of simulated evapotranspiration under dry condition is proportional to NDVI, and the relative error increases with the increase of NDVI; the relationship between the relative error of simulated evapotranspiration and NDVI under wet condition follows the quadratic curve; the deviation between calculated evapotranspiration and observed values was significantly reduced after CLM simulation is corrected by the new method; compared to CLM, the MBE decreases from 9.71 W/m2 to 2.77 W/m2, while the RMSE decreases from 34.16 W/m2 to 8.58 W/m2 and correlation coefficients increase from 0.67 to 0.94. The ‘simulation-correction' method improves the estimation accuracy of terrestrial evapotranspiration over the semi-arid region of the Loess Plateau due to considering the vegetation.
- References:
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[1] Seneviratne S I, Corti T, Davin E L, et al. Investigating soil moisture-climate interactions in a changing climate: A review [J]. Earth-Science Reviews, 2010,99(3):125-161.
[2] Trenberth K E, Fasullo J T, Kiehl J. Earth's global energy budget[J]. Bulletin of the American Meteorological Society, 2009,90(3):311-323.
[3] Oki T, Kanae S. Global hydrological cycles and world water resources[J]. Science, 2006,313(5790):1068-1072.
[4] Mu Q, Zhao M, Running S W, et al. Using MODIS Weekly Evapotranspiration to Monitor Drought[C]∥ Gao W, Chang N B. Remote Sensing and Modeling of Ecosystems for Sustainability XIII. Washington, USA: SPIE-INT Soc Optical Engineering, 2016.
[5] Wang L, Yuan X, Xie Z, et al. Increasing flash droughts over China during the recent global warming hiatus[J]. Scientific Reports, 2016,6.DOI:10.1038/srep30571.
[6] Anderson M C, Kustas W P, Norman J M, et al. Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery[J]. Hydrology & Earth System Sciences, 2011,15(1):223-239.
[7] Wang K C, Wang P C, Li Z Q, et al. A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature[J]. Journal of Geophysical Research, 2007,112(D15).DOI:10.1029/2006JD008351.
[8] Wang K C, Liang S L. An improved method for estimating global evapotranspiration based on satellite estimation of surface net radiation, vegetation index, temperature, and soil moisture [J]. Journal of Hydrometeorology, 2008,9(4):712-727.
[9] Anderson R G, Goulden M L. A mobile platform to constrain regional estimates of evapotranspiration[J]. Agricultural and Forest Meteorology, 2009,149(5):771-782.
[10] Glenn E P, Nagler P L, Huete A R. Vegetation index methods for estimating evapotranspiration by remote sensing[J]. Surveys in Geophysics, 2010, 31(6):531-555.
[11] Lu X, Zhuang Q. Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data[J]. Remote Sensing of Environment, 2010,114(9):1924-1939.
[12] Bastiaanssen W G M, Menenti M, Feddes R A, et al. A remote sensing surface energy balance algorithm for land(SEBAL): 1. Formulation[J]. Journal of Hydrology, 1998,212(1/4):198-212.
[13] Su Z B, Jacobs J. Advance Earth Observation Land Surface Climate: Final Report[R]. Netherlands: Publications of National Remote Sensing Board, 2001.
[14] 杨泽粟.黄土高原植被生理过程和蒸散量计算方法及变化特征研究[D].兰州:兰州大学,2016.
[15] Yuan W, Liu S, Yu G, et al. Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data [J]. Remote Sensing of Environment, 2010,114(7):1416-1431.
[16] Rodell M, Houser P R, Jambor U, et al. The global land data assimilation system [J]. Bulletin of the American Meteorological Society, 2004,85(3):381-394.
[17] Haddeland I, Clark D B, Franssen W, et al. Multimodel estimate of the global terrestrial water balance: setup and first results [J]. Journal of Hydrometeorology, 2011,12(5):869-884.
[18] Xia Y, Cosgrove B A, Mitchell K E, et al. Basin-scale assessment of the land surface energy budget in the National Centers for Environmental Prediction operational and research NLDAS-2 systems[J]. Journal of Geophysical Research Atmospheres, 2016,121(1):196-220.
[19] Xia Y, Cosgrove B A, Mitchell K E, et al. Basin-scale assessment of the land surface water budget in the National Centers for Environmental Prediction operational and research NLDAS-2 systems[J]. Journal of Geophysical Research Atmospheres, 2016,121(6):2750-2779.
[20] Dirmeyer P A, Gao X, Zhao M, et al. GSWP-2: Multimodel analysis and implications for our perception of the land surface[J]. Bulletin of the American Meteorological Society, 2006,87(10):1381-1397.
[21] Zhang H, Pak B, Wang Y P, et al. Evaluating surface water cycle simulated by the Australian Community Land Surface Model(CABLE)across different spatial and temporal domains[J]. Journal of Hydrometeorology, 2013,14(4):1119-1138.
[22] 崔园园,敬文琪,谭军.基于TIPEX资料对CLDAS-V 2.0和GLDAS-NOAH陆面模式产品在青藏高原的适用性评估[J].高原气象,2018,37(5):1143-1160.
[23] 张强,杨泽粟,郝小翠,等.北方蒸散对气候变暖响应随降水类型转换特征[J].科学通报,2018,63(11):1035-1049.
[24] Sellers P, Randall D, Collatz G, et al. A revised land surface parameterization(SiB2)for atmospheric GCMs: 1. Model formulation[J]. Journal of Climate, 1996,9(4):676-705.
[25] Chen Y, Yang K, Zhou D, et al. Improving the Noah Land Surface Model in arid regions with an appropriate parameterization of the thermal roughness length[J]. Journal of Hydrometeorology, 2010,11(4):995-1006.
[26] 孙菽芬,牛国跃,洪钟祥.干旱及半干旱区土壤水热传输模式研究[J].大气科学,1998,22(1):1-10.
[27] Yang Q, Wu J, Li Y, et al. Using the particle swarm optimization algorithm to calibrate the parameters relating to the turbulent flux in the surface layer in the source region of the Yellow River [J]. Agricultural and Forest Meteorology, 2017,232:606-622.
[28] Parr D, Wang G, Bjerklie D. Integrating remote sensing data on evapotranspiration and leaf area index with hydrological modeling: Impacts on model performance and future predictions[J]. Journal of Hydrometeorology, 2015,16(5):2086-2100.
[29] Wang D, Wang G, Parr D T, et al. Incorporating remote sensing-based ET estimates into the Community Land Model version 4.5[J]. Hydrology & Earth System Sciences, 2017,21(7):3557-3577.
[30] Oudin L, Hervieu F, Michel C, et al. Which potential evapotranspiration input for a lumped rainfall-runoff model: Part 2-Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modeling [J]. Journal of Hydrology, 2005,303(1):290-306.
[31] Williams D G, Cable W, Hultine K, et al. Evapotranspiration components determined by stable isotope, sap flow and eddy covariance techniques[J]. Agricultural and Forest Meteorology, 2004,125(3/4):241-258.
[32] Gong D, Kang S, Yao L, et al. Estimation of evapotranspiration and its components from an apple orchard in northwest China using sap flow and water balance methods[J]. Hydrological Processes, 2010,21(7):931-938.
[33] Oleson K W, Lawrence D M, Bonan G B, et al. Technical description of version 4.0 of the Community Land Model(CLM)[Z]. Boulder, USA: National Center for Atmospheric Research,2010.
[34] 张强,肖风劲,牛海山,等.我国北方植被指数对土壤湿度的敏感性分析[J].生态学杂志,2005,24(7):715-718.
[35] Guan X, Huang J, Guo N, et al. Variability of soil moisture and its relationship with surface albedo and soil thermal parameters over the Loess Plateau[J]. Advances in Atmospheric Sciences, 2009,26(4):692-700.
[36] Huang J, Zhang W, Zuo J, et al. An overview of the semi-arid climate and environment research observatory over the Loess Plateau[J]. Advances in Atmospheric Sciences, 2008,25(6):906-921.
[37] Falge E, Baldocchi D, Olson R, et al. Gap filling strategies for long term energy flux data sets[J]. Agricultural & Forest Meteorology, 2001,107(1):71-77.
[38] Lawrence D M, Slater A G. Incorporating organic soil into a global climate model[J]. Climate Dynamics, 2008,30(2/3):145-160.
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Last Update:
2020-02-25