Daily and monthly flow-rates of the Little Nemaha River in Nebraska were simulated by the lumped-parameter Jakeman-Hornberger as well as a distributed-parameter water-balance accounting procedure for the 2003-2008 and 2000-2009 periods, respectively, with and without the help of the MODIS-based monthly estimates of evapotranspiration (ET) rates. While the daily lumped-parameter model simulation accuracy remained practically unchanged with the inclusion of the monthly MODIS-based ET rates interpolated into daily values (R2 of 0.66 vs 0.68, simulated to measured runoff ratio remaining the same 96%), the monthly water-balance accounting model outcomes did improve to some extent (from an R2 of 0.67 to 0.7 with simulated to measured runoff ratio of 72% vs 115%). In both cases the models had to be slightly modified for accommodation of the ET rates as predefined input values, not present in the original model setups. These results indicate the potential practical usefulness of satellite-derived ET estimates (CREMAP values in the present case) in monthly water-balance modeling. CREMAP is a calibration-free ET estimation method based on MODIS-derived daytime surface temperature values in combination of basic climatic variables, such as air temperature, humidity and solar radiation within a Complementary Relationship framework of evaporation.
References
[1]
G. B. Senay, S. Leake, P. L. Nagler, G. Artan, J. Dickinson, J. T. Cordova and E. P. Glenn, “Estimating Basin Scale Evapotranspiration (ET) by Water Balance and Remote Sensing Methods,” Hydrological Processes, Vol. 25, No. 26, 2011, pp. 4037-4049.
http://dx.doi.org/10.1002/hyp.8379
[2]
J. Szilagyi, A. Kovacs and J. Jozsa, “A Calibration-Free Evapotranspiration Mapping (CREMAP) Technique,” In: L. Labedzki, Ed., Evapotranspiration, INTECH, Rijeka, 2011, pp. 257-274.
http://www.intechopen.com/books/evapotranspiration
[3]
J. Szilagyi, “Recent Updates of the Calibration-Free Evapotranspiration Mapping (CREMAP) Method,” In: S. G Alexandris and R. Sticevic, Eds., Evapotranspiration—An Overview, INTECH, Rijeka, 2013, pp. 23-28.
http://www.intechopen.com/books/evapotranspiration-an-overview
[4]
R. J. Bouchet, “Evapotranspiration Reelle, Evapotranspiration Potentielle, et Production Agricole,” Annales Agronomae, Vol. 14, 1963, pp. 743-824.
[5]
F. I. Morton, F. Ricard and F. Fogarasi, “Operational Estimates of Areal Evapotranspiration and Lake Evaporation—Program WREVAP,” National Hydrologic Research Institute Paper No. 24, Ottawa, 1985.
National Oceanographic and Atmospheric Administration (NOAA), “Surface Radiation Budget Data,” 2009.
http://www.atmos.umd.edu/~srb/gcip/cgi-bin/historic.cgi
[8]
C. H. B. Priestley and R. J. Taylor, “On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters,” Monthly Weather Review, Vol. 100, No. 2, 1972, pp. 81-92.
http://dx.doi.org/10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
[9]
J. Szilagyi, V. Zlotnik, J. Gates and J. Jozsa, “Mapping Mean Annual Groundwater Recharge in the Nebraska Sand Hills, USA,” Hydrogeology Journal, Vol. 19, No. 8, 2011, pp. 1503-1513.
http://dx.doi.org/10.1007/s10040-011-0769-3
[10]
J. Szilagyi, A. Kovacs and J. Jozsa, “Estimation of Spatially Distributed Mean Annual Recharge Rates in the Danube-Tisza Interfluvial Region of Hungary,” Journal of Hydrology and Hydromechanics, Vol. 60, No. 1, 2012, pp. 64-72.
[11]
J. Szilagyi and J. Jozsa, “MODIS-Aided Statewide Net Groundwater-Recharge Estimation in Nebraska,” Ground Water, Vol. 51, No. 5, 2013, pp. 735-744.
[12]
J. Szilagyi, V. Zlotnik and J. Jozsa, “Net Recharge versus Depth to Groundwater Relationship in the Platte River Valley of Nebraska, USA,” Ground Water, Vol. 52, No. 1, 2014, in Press.
[13]
P. Dappen, I. Ratcliffe, C. Robbins and J. Merchant, “Map of 2005 Land Use of Nebraska,” 2007.
http://www.calmit.unl.edu/2005landuse/statewide.shtml
[14]
United States Department of Agriculture, “State Soil Geographic (STATSGO) Data Base,” United States Department of Agriculture, Washington DC, 1991.
[15]
A. J. Jakeman and G. M. Hornberger, “How Much Complexity Is Warranted in a Rainfall-Runoff Model,” Water Resources Research, Vol. 29, No. 8, 1993, pp. 2637-2649.
http://dx.doi.org/10.1029/93WR00877
[16]
C. Vorosmarty, B. Moore, A. L. Grace and P. Gildea, “Continental-Scale Models of Water Balance and Fluvial Transport: An Application to South America,” Global Biogeochemical Cycles, Vol. 3, No. 3, 1989, pp. 241-265.
http://dx.doi.org/10.1029/GB003i003p00241
[17]
J. Szilagyi and C. J. Vorosmarty, “Water-balance Modelling in a Changing Environment: Reductions in Unconfined Aquifer Levels in the Area between the Danube and Tisza Rivers in Hungary,” Journal of Hydrology and Hydromechanics, Vol. 45, No. 5, 1997, pp. 348-364.
[18]
M. Jensen and H. Haise, “Estimating Evapotranspiration from Solar Radiation,” Journal of Irrigation and Drainage Engineering, Vol. 89, No. IR-4, 1963, pp. 15-41.
[19]
L. Oudin, C. Michel, V. Andreassian, F. Anctil and C. Loumagne, “Should Bouchet’s Hypothesis Be Taken into Account in Rainfall-Runoff Modelling? An Assessment over 308 Catchments,” Hydrological Processes, Vol. 19, No. 20, 2005, pp. 4093-4106.
http://dx.doi.org/10.1002/hyp.5874
[20]
J. Szilagyi, E. F. Harvey and J. Ayers, “Regional Estima-Tion of Base Recharge to Ground Water Using Water Balance and a Base-Flow Index,” Ground Water, Vol. 41, No. 4, 2003, pp. 504-551.
http://dx.doi.org/10.1111/j.1745-6584.2003.tb02384.x
