A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET

Remote Sensing of Environment

Volumn 139, Issue , 2013, Pages 35-49

  Velpuri, N M ^a   Senay, G B ^a   Singh, R K ^a   Bohms, S ^a   Verdin, J P ^a  

^a EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

Author keywords

Accuracy and uncertainty estimation; MODIS based ET models (MOD16 and SSEBop); Multi scale ET validation; Remotely sensed evapotranspiration (ET) modeling

Indexed keywords

BASIN WATER BALANCE; COMPREHENSIVE EVALUATION; MODIS BASED ET MODELS (MOD16 AND SSEBOP); MULTI-SCALE ET VALIDATION; PARAMETER REFINEMENT; REMOTELY SENSED EVAPOTRANSPIRATIONS; UNCERTAINTY ESTIMATION; WESTERN UNITED STATES;

AGGREGATES; ESTIMATION; EVAPOTRANSPIRATION; REMOTE SENSING; UNCERTAINTY ANALYSIS; WATER SUPPLY;

RADIOMETERS;

ACCURACY ASSESSMENT; CLIMATIC REGION; DATA SET; EVAPOTRANSPIRATION; HYDROLOGICAL REGIME; MODIS; REMOTE SENSING; SAVANNA; SPATIAL ANALYSIS; WATER BUDGET;

UNITED STATES;

EID: 84883010180     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.07.013     Document Type: Article

References (63)

1. Allen R.G., Pereira L.S., Howell T.A., Jensen M.E. Evapotranspiration information reporting: I. Factors governing measurement accuracy. Agricultural Water Management 2011, 98:899-920.
2. Allen R.G., Pereira L.S., Raes D., Smith M. Crop evapotranspiration - Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56 1998, 300:6541. FAO, Rome.
3. Allen R.G., Tasumi M., Morse A., Trezza R. A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning. Irrigation and Drainage Systems 2005, 19:251-268.
4. Allen R.G., Tasumi M., Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Model. Journal of Irrigation and Drainage Engineering 2007, 133:380-394.
5. Anderson M.C., Kustas W.P., Norman J.M., Hain C.R., Mecikalski J.R., Schultz L., et al. Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery. Hydrology and Earth System Sciences 2011, 15:223.
6. Anderson M.C., Norman J.M., Mecikalski J.R., Otkin J.A., Kustas W.P. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation. Journal of Geophysical Research 2007, 112:D10117.
7. Baldocchi D., Falge E., Gu L., Olson R., Hollinger D., Running S.W., et al. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society 2001, 82:2415-2434.
8. Bastiaanssen W.G.M., Noordman E.J.M., Pelgrum H., Davids G., Thoreson B.P., Allen R.G. SEBAL model with remotely sensed data to improve water-resources management under actual field conditions. Journal of Irrigation and Drainage Engineering 2005, 131:85-93.
9. Boden T.A., Krassovski M., Yang B. The AmeriFlux data activity and data system: An evolving collection of data management techniques, tools, products and services. Geoscientific Instrumentation, Methods and Data Systems Discussions 2013, 3:59-85.
10. Bonan G.B., Lawrence P.J., Oleson K.W., Levis S., Jung M., Reichstein M., et al. Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data. Journal of Geophysical Research 2011, 116:G02014.
11. Carroll M.L., Townshend J.R., DiMiceli C.M., Noojipady P., Sohlberg R.A. A new global raster water mask at 250m resolution. International Journal of Digital Earth 2009, 2:291-308.
12. Chattopadhyay N., Hulme M. Evaporation and potential evapotranspiration in India under conditions of recent and future climate change. Agricultural and Forest Meteorology 1997, 87:55-73.
13. Daly C., Smith J.W., Smith J.I., McKane R.B. High-resolution spatial modeling of daily weather elements for a catchment in the Oregon Cascade Mountains, United States. Journal of Applied Meteorology and Climatology 2007, 46:1565-1586.
14. Daly C., Taylor G.H., Gibson W.P., Parzybok T.W., Johnson G.L., Pasteris P.A. High-quality spatial climate data sets for the United States and beyond. Transactions of the ASAE-American Society of Agricultural Engineers 2000, 43:1957-1962.
15. Di Luzio M., Johnson G.L., Daly C., Eischeid J.K., Arnold J.G. Constructing retrospective gridded daily precipitation and temperature datasets for the conterminous United States. Journal of Applied Meteorology and Climatology 2008, 47:475-497.
16. Evans J.P., Jakeman A.J. Development of a simple, catchment-scale, rainfall-evapotranspiration-runoff model. Environmental Modelling & Software 1998, 13:385-393.
17. Fowler H.J., Kilsby C.G. Using regional climate model data to simulate historical and future river flows in northwest England. Climatic Change 2007, 80:337-367.
18. Giambelluca T.W., Nullet D. Evaporation at high elevations in Hawaii. Journal of Hydrology 1992, 136:219-235.
19. Glenn E.P., Neale C.M., Hunsaker D.J., Nagler P.L. Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems. Hydrological Processes 2011, 25(26):4050-4062.
20. Gowda P.H., Chavez J.L., Colaizzi P.D., Evett S.R., Howell T.A., Tolk J.A. ET mapping for agricultural water management: present status and challenges. Irrigation Science 2008, 26:223-237.
21. Gowda P.H., Senay G.B., Howell T.A., Marek T.H. Lysimetric evaluation of simplified surface energy balance approach in the Texas high plains. Applied Engineering in Agriculture 2009, 25:665-669.
22. Guerschman J.P., Van Dijk A.I., Mattersdorf G., Beringer J., Hutley L.B., Leuning R., et al. Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia. Journal of Hydrology 2009, 369(1):107-119.
23. Hobbins M.T., Ramírez J.A., Brown T.C. Trends in pan evaporation and actual evapotranspiration across the conterminous US: Paradoxical or complementary?. Geophysical Research Letters 2004, 31:L13503.
24. Huffman G.J., Bolvin D.T., Nelkin E.J., Wolff D.B., Adler R.F., Gu G., et al. The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology 2007, 8:38-55.
25. Jackson R.D., Idso S.B., Reginato R.J., Pinter P.J. Canopy temperature as a crop water stress indicator. Water Resources Research 1981, 17:1133-1138.
26. Jia Z., Liu S., Xu Z., Chen Y., Zhu M. Validation of remotely sensed evapotranspiration over the Hai River Basin, China. Journal of Geophysical Research 2012, 117:D13113.
27. Jian X., Wolock D., Lins H. WaterWatch-Maps, graphs, and tables of current, recent, and past streamflow conditions, united states geological survey, electronic resource Available at:, (last accessed: May 21, 2013). http://pubs.usgs.gov/fs/2008/3031/WaterWatch2008v3.pdf.
28. Jung M., Reichstein M., Bondeau A. Towards global empirical upscaling of FLUXNET eddy covariance observations: Validation of a model tree ensemble approach using a biosphere model. Biogeosciences 2009, 6:2001-2013.
29. Jung M., Reichstein M., Ciais P., Seneviratne S.I., Sheffield J., Goulden M.L., et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply. Nature 2010, 467:951-954.
30. Kalma J.D., McVicar R., McCabe F. Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data. Survey of Geophysics 2008, 29:421-469.
31. King E., van Niel T., van Dijk A., Wang Z., Paget M., Raupach T., et al. Actual evapotranspiration estimates for Australia intercomparison and evaluation (Canberra) 2011, C. Flagship (Ed.).
32. Kottek M., Grieser J., Beck C., Rudolf B., Rubel F. World map of the Koppen-Geiger climate classification updated. Meteorologische Zeitschrift 2006, 15:259-263.
33. Lu X., Zhuang Q. Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data. Remote Sensing of Environment 2010, 114:1924-1939.
34. McCabe M.F., Wood E.F. Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors. Remote Sensing of Environment 2006, 105:271-285.
35. Monteith J.L. Evaporation and the environment. The state and movement of water in living organisms, XIXth symposium 1965, 19:205-233. Society of Experimental Biology, Cambridge University Press, Swansea, UK.
36. Morse A., Tasumi M., Allen R.G., Kramber W.J. Application of the SEBAL methodology for estimating consumptive use of water and streamflow depletion in the Bear River Basin of Idaho through remote sensing 2000, Idaho Department of Water Resources-University of Idaho.
37. Mu Q., Heinsch F.A., Zhao M., Running S.W. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment 2007, 111:519-536.
38. Mu Q., Zhao M., Running S.W. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sensing of Environment 2011, 115:1781-1800.
39. Mueller B., Seneviratne S.I., Jimenez C., Corti T., Hirschi M., Balsamo G., et al. Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations. Geophysical Research Letters 2011, 38:L06402.
40. Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) FLUXNET web page Available at:, (last accessed: May 21, 2013). http://fluxnet.ornl.gov.
41. Oudin L., Michel C., Andréassian V., Anctil F., Loumagne C. Should Bouchet's hypothesis be taken into account in rainfall-runoff modelling? An assessment over 308 catchments. Hydrological Processes 2005, 19:4093-4106.
42. Peters-Lidard C.D., Kumar S.V., Mocko D.M., Tian Y. Estimating ET with land data assimilation systems. Hydrological Processes 2011, 25:3979-3992.
43. Seaber P.R., Kapinos F.P., Knapp G.L. Hydrologic unit maps. U.S. Geological Survey Water-Supply Paper 2294 1987, ((Available at: http://pubs.usgs.gov/wsp/wsp2294/index.html), (last accessed: May 21, 2013)).
44. Senay G.B. Modeling landscape evapotranspiration by integrating land surface phenology and a water balance algorithm. Algorithms 2008, 1:52-68.
45. Senay G.B., Asante K., Artan G. Water balance dynamics in the Nile Basin. Hydrological Processes 2009, 23:3675-3681.
46. Senay G.B., Bohms S., Singh R.K., Gowda P.H., Velpuri N.M., Alemu H., et al. Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach. Journal of the American Water Resources Association 2013, 1-15. 10.1111/jawr.12057.
47. Senay G.B., Budde M., Verdin J.P., Melesse A.M. A coupled remote sensing and simplified surface energy balance approach to estimate actual evapotranspiration from irrigated fields. Sensors 2007, 7:979-1000.
48. Senay G.B., Leake S., Nagler P.L., Artan G., Dickinson J., Cordova J.T., et al. Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods. Hydrological Processes 2011, 25:4037-4049.
49. Senay G.B., Verdin J. Characterization of yield reduction in Ethiopia using a GIS-based crop water balance model. Canadian Journal of Remote Sensing 2003, 29:687-692.
50. Senay G.B., Verdin J., Lietzow R., Melesse M. Global daily reference evapotranspiration modeling and evaluation. Journal of the American Water Resources Association 2008, 44:969-979.
51. Singh R.K., Irmak A., Irmak S., Martin D.L. Application of SEBAL model for mapping evapotranspiration and estimating surface energy fluxes in South-Central Nebraska. Journal of Irrigation and Drainage Engineering 2008, 134:273-285.
52. Tang Q., Peterson S., Cuenca R.H., Hagimoto Y., Lettenmaier D.P. Satellite-based near-real-time estimation of irrigated crop water consumption. Journal of Geophysical Research 2009, 114:D05114.
53. Taylor K.E. Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research 2001, 106:7183-7192.
54. Thornton P.E., Running S.W., White M.A. Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology 1997, 190:214-251.
55. Velpuri N.M., Senay G.B. Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data. Hydrology and Earth System Sciences 2012, 16:3561-3578.
56. Velpuri N.M., Senay G.B., Asante K.O. A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data. Hydrology and Earth System Sciences 2012, 16:1-18.
57. Verdin K.L., Verdin J.P. A topological system for delineation and codification of the Earth's river basins. Journal of Hydrology 1999, 218:1-12.
58. Vinukollu R.K., Meynadier R., Sheffield J., Wood E.F. Multi-model, multi-sensor estimates of global evapotranspiration: Climatology, uncertainties and trends. Hydrological Processes 2011, 25:3993-4010.
59. Vinukollu R.K., Wood E.F., Ferguson C.R., Fisher J.B. Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches. Remote Sensing of Environment 2011, 115:801-823.
60. Xu C.Y., Singh V.P. Evaluation of three complementary relationship evapotranspiration models by water balance approach to estimate actual regional evapotranspiration in different climatic regions. Journal of Hydrology 2005, 308:105-121.
61. Yebra M., Van Dijk A., Leuning R., Huete A., Guerschman J.P. Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance. Remote Sensing of Environment 2013, 129:250-261.
62. Zhang K., Kimball J.S., Nemani R.R., Running S.W. A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006. Water Resources Research 2010, 46:W09522.
63. Zhang Y., Liu C., Tang Y., Yang Y. Trends in pan evaporation and reference and actual evapotranspiration across the Tibetan Plateau. Journal of Geophysical Research 2007, 112:D12110.