Water balance-based actual evapotranspiration reconstruction from ground and satellite observations over the conterminous United States

被引:93
|
作者
Wan, Zhanming [1 ,2 ,3 ]
Zhang, Ke [1 ,4 ,5 ]
Xue, Xianwu [1 ,2 ,3 ]
Hong, Zhen [1 ,2 ,3 ]
Hong, Yang [1 ,2 ,3 ,6 ]
Gourley, Jonathan J. [7 ]
机构
[1] Univ Oklahoma, Sch Civil Engn & Environm Sci, Hydrometeorol & Remote Sensing HyDROS Lab, Norman, OK 73019 USA
[2] Natl Weather Serv, Adv Radar Res Ctr, Norman, OK USA
[3] Natl Weather Serv, Ctr Spatial Anal, Norman, OK USA
[4] Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA
[5] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Jiangsu, Peoples R China
[6] Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China
[7] NOAA, Natl Severe Storms Lab, Norman, OK 73069 USA
关键词
SURFACE; MODIS; PARAMETERIZATION; PRECIPITATION; TEMPERATURE; VARIABILITY; EVAPORATION; PRODUCTS; FLUXNET; SYSTEM;
D O I
10.1002/2015WR017311
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The objective of this study is to produce an observationally based monthly evapotranspiration (ET) product using the simple water balance equation across the conterminous United States (CONUS). We adopted the best quality ground and satellite-based observations of the water budget components, i.e., precipitation, runoff, and water storage change, while ET is computed as the residual. Precipitation data are provided by the bias-corrected PRISM observation-based precipitation data set, while runoff comes from observed monthly streamflow values at 592 USGS stream gauging stations that have been screened by strict quality controls. We developed a land surface model-based downscaling approach to disaggregate the monthly GRACE equivalent water thickness data to daily, 0.125 degrees values. The derived ET computed as the residual from the water balance equation is evaluated against three sets of existing ET products. The similar spatial patterns and small differences between the reconstructed ET in this study and the other three products show the reliability of the observationally based approach. The new ET product and the disaggregated GRACE data provide a unique, important hydro-meteorological data set that can be used to evaluate the other ET products as a benchmark data set, assess recent hydrological and climatological changes, and terrestrial water and energy cycle dynamics across the CONUS. These products will also be valuable for studies and applications in drought assessment, water resources management, and climate change evaluation.
引用
收藏
页码:6485 / 6499
页数:15
相关论文
共 50 条
  • [41] Comparison of precipitable water derived from ground-based GPS measurements with radiosonde observations over the Korean Peninsula
    Kwon, Ha-Taek
    Iwabuchi, Tetsuya
    Lim, Gyu-Ho
    JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2007, 85 (06) : 733 - 746
  • [42] Introducing Spatially Distributed Fire Danger from Earth Observations (FDEO) Using Satellite-Based Data in the Contiguous United States
    Farahmand, Alireza
    Stavros, E. Natasha
    Reager, John T.
    Behrangi, Ali
    REMOTE SENSING, 2020, 12 (08)
  • [43] Aerosol-cloud interaction in water clouds observed using ground-based, in-situ, and satellite-based observations over an Indian continental region
    Nandan, Renju
    Ratnam, M. Venkat
    Kiran, V. Ravi
    Naik, Dinesh N.
    ATMOSPHERIC RESEARCH, 2022, 280
  • [44] Cloud liquid water path from satellite-based passive microwave observations: A new climatology over the global oceans
    O'Dell, Christopher W.
    Wentz, Frank J.
    Bennartz, Ralf
    JOURNAL OF CLIMATE, 2008, 21 (08) : 1721 - 1739
  • [45] Inferring the anthropogenic NOx emission trend over the United States during 2003-2017 from satellite observations: was there a flattening of the emission trend after the Great Recession?
    Li, Jianfeng
    Wang, Yuhang
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (24) : 15339 - 15352
  • [46] RELATIONSHIP BETWEEN CONVECTIVE CLOUDS AND PRECIPITATION OVER THE QINGHAI-XIZANG PLATEAU AREA FROM SATELLITE REMOTE-SENSING AND GROUND-BASED OBSERVATIONS
    HUNG, RJ
    LIU, JM
    TSAO, DY
    SMITH, RE
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1985, 6 (01) : 217 - 237
  • [47] Long-Term (1986-2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration
    Senay, Gabriel B.
    Schauer, Matthew
    Velpuri, Naga M.
    Singh, Ramesh K.
    Kagone, Stefanie
    Friedrichs, MacKenzie
    Litvak, Marcy E.
    Douglas-Mankin, Kyle R.
    REMOTE SENSING, 2019, 11 (13)
  • [48] Aerosol Optical Properties and Types over Southern Africa and Reunion Island Determined from Ground-Based and Satellite Observations over a 13-Year Period (2008-2021)
    Ranaivombola, Marion
    Begue, Nelson
    Bencherif, Hassan
    Millet, Tristan
    Sivakumar, Venkataraman
    Duflot, Valentin
    Baron, Alexandre
    Mbatha, Nkanyiso
    Piketh, Stuart
    Formenti, Paola
    Goloub, Philippe
    REMOTE SENSING, 2023, 15 (06)
  • [49] Surface erythemal UV irradiance in the continental United States derived from ground-based and OMI observations: quality assessment, trend analysis and sampling issues
    Zhang, Huanxin
    Wang, Jun
    Garcia, Lorena Castro
    Zeng, Jing
    Dennhardt, Connor
    Liu, Yang
    Krotkov, Nickolay A.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (04) : 2165 - 2181
  • [50] Inferring Changes in Summertime Surface Ozone-NOx-VOC Chemistry over US Urban Areas from Two Decades of Satellite and Ground-Based Observations
    Jin, Xiaomeng
    Fiore, Arlene
    Boersma, K. Folkert
    De Smedt, Isabelle
    Valin, Lukas
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (11) : 6518 - 6529