Assessing groundwater storage changes using remote sensing-based evapotranspiration and precipitation at a large semiarid basin scale

Journal of Hydrometeorology

Volumn 14, Issue 6, 2013, Pages 1733-1753

  Gokmen, Mustafa ^a   Vekerdy, Zoltan ^a   Lubczynski, Maciek W ^a   Timmermans, Joris ^a   Batelaan, Okke ^b,c   Verhoef, Wouter ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^c FLINDERS UNIVERSITY   (Australia)

Author keywords

Anthropogenic effects; Evapotranspiration; Hydrology; Mixed precipitation; Satellite observations; Water budget

Indexed keywords

ANTHROPOGENIC EFFECT; BASIN ANALYSIS; EVAPOTRANSPIRATION; GROUNDWATER; HYDROLOGY; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SEMIARID REGION; SOIL MOISTURE; WATER BUDGET; WATER STORAGE; WATER USE;

KONYA [TURKEY]; KONYA BASIN; TURKEY;

EID: 84888866507     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-12-0156.1     Document Type: Article

References (55)

1. Alsdorf, D. E., and D. P. Lettenmaier, 2003: Tracking fresh water from space. Science, 301, 1491-1494, doi:10.1126/science.1089802.
2. Anderson, M. C., R. G. Allen, A. Morse, and W. P. Kustas, 2012: Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sens. Environ., 122, 50-65, doi:10.1016/j.rse.2011.08.025.
3. Armanios, D. E., and J. B. Fisher, 2013: Measuring water availability with limited ground data: Assessing the feasibility of an entirely remote-sensing-based hydrologic budget of the Rufiji Basin, Tanzania, using TRMM, GRACE, MODIS, SRB, and AIRS. Hydrol. Processes, doi:10.1002/hyp.9611, in press.
4. Bayari, C., N. Ozyurt, and S. Kilani, 2009: Radiocarbon age distribution of groundwater in the Konya Closed Basin, central Anatolia, Turkey. Hydrogeol. J., 17, 347-365, doi:10.1007/s10040-008-0358-2.
5. Biancamaria, S., N. Mognard, A. Boone, M. Grippa, andE. Josberger, 2008: A satellite snow depth multi-year average derived from SSM/I for the high latitude regions. Remote Sens. Environ., 112, 2557-2568, doi:10.1016/j.rse.2007.12.002.
6. Bolster, C. H., D. P. Genereux, and J. E. Saiers, 2001: Determination of specific yield for the Biscayne Aquifer with a canal-drawdown test. Groundwater, 39, 768-777, doi:10.1111/j.1745-6584.2001.tb02368.x.
7. Brunner, P., P. Bauer, M. Eugster, and W. Kinzelbach, 2004: Using remote sensing to regionalize local precipitation recharge rates obtained from the chloride method. J. Hydrol., 294, 241-250, doi:10.1016/j.jhydrol.2004.02.023.
8. Chang, A. T. C., J. L. Foster, R. E. J. Kelly, E. G. Josberger, R. L. Armstrong, and N. M. Mognard, 2005: Analysis of groundmeasured and passive-microwave-derived snow depth variations in midwinter across the northern Great Plains. J. Hydrometeor., 6, 20-33, doi:10.1175/JHM-405.1.
9. Contreras, S., E. G. Jobbagy, P. E. Villagra, M. D. Nosetto, and J. Puigdefabregas, 2011: Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina. J. Hydrol., 397, 10-22, doi:10.1016/j.jhydrol.2010.11.014.
10. Delogu, E., and Coauthors, 2012: Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass. Hydrol. Earth Syst. Sci., 16, 2995-3010, doi:10.5194/hess-16-2995-2012.
11. Derksen, C., P. Toose, A. Rees, L. Wang, M. English, A. Walker, and M. Sturm, 2010: Development of a tundra-specific snow water equivalent retrieval algorithm for satellite passive microwave data. Remote Sens. Environ., 114, 1699-1709, doi:10.1016/j.rse.2010.02.019.
12. Ferguson, C. R., J. Sheffield, E. F. Wood, and H. L. Gao, 2010: Quantifying uncertainty in a remote sensing-based estimate of evapotranspiration over continental USA. Int. J. Remote Sens., 31, 3821-3865, doi:10.1080/01431161.2010.483490.
13. Fontugne, M., C. Kuzucuoglu, M. Karabiyikoglu, C. Hatte, and J. F. Pastre, 1999: From Pleniglacial to Holocene: A C-14 chronostratigraphy of environmental changes in the Konya Plain, Turkey. Quat. Sci. Rev., 18, 573-591, doi:10.1016/S0277-3791(98)90098-1.
14. Gao, F., J. Masek, M. Schwaller, and F. G. Hall, 2006: On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance. IEE Trans. Geosci. Remote. Sens., 44, 2207-2218, doi:10.1109/TGRS.2006.872081.
15. Gao, H., Q. Tang, C. R. Ferguson, E. F. Wood, andD. P. Lettenmaier, 2010: Estimating the water budget of major US river basins via remote sensing. Int. J. Remote Sens., 31 (14), 3955-3978, doi:10.1080/01431161.2010.483488.
16. Ghilain, N., A. Arboleda, and F. Gellens-Meulenberghs, 2011: Evapotranspiration modelling at large scale using near-real time MSG SEVIRI derived data. Hydrol. Earth Syst. Sci., 15, 771-786, doi:10.5194/hess-15-771-2011.
17. Gleeson, T., J. VanderSteen, M. A. Sophocleous, M. Taniguchi, W. M. Alley, D. M. Allen, and Y. X. Zhou, 2010: Groundwater sustainability strategies. Nat. Geosci., 3, 378-379, doi:10.1038/ngeo881.
18. Gokmen, M., Z. Vekerdy, A. Verhoef, W. Verhoef, O. Batelaan, and C. van der Tol, 2012: Integration of soil moisture in SEBS for improving evapotranspiration estimation under water stress conditions. Remote Sens. Environ., 121, 261-274, doi:10.1016/j.rse.2012.02.003.
19. Green, T. R., M. Taniguchi, H. Kooi, J. J. Gurdak, D. M. Allen, K. M. Hiscock, H. Treidel, and A. Aureli, 2011: Beneath the surface of global change: Impacts of climate change on groundwater. J. Hydrol., 405, 532-560, doi:10.1016/j.jhydrol.2011.05.002.
20. Huffman, G. J., and D. T. Bolvin, 2013: TRMM and other data precipitation data set documentation. NASA, 40 pp. [Available online at ftp://precip.gsfc.nasa.gov/pub/trmmdocs/3B42_ 3B43_doc.pdf.]
21. Huffman, G. J., and Coauthors, 2007: TheTRMMmultisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55, doi:10.1175/JHM560.1.
22. Jia, L., and Coauthors, 2003: Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements. Phys. Chem. Earth, 28, 75-88, doi:10.1016/S1474-7065(03)00009-3.
23. Jin, X., M. E. Schaepman, J. G. P. W. Clevers, and Z. B. Su, 2009: Impact and consequences of evapotranspiration changes onwater resources availability in the arid Zhangye Basin, China. Int. J. Remote Sens., 30, 3223-3238, doi:10.1080/01431160802559053.
24. Johnson, A. I., 1967: Specific yield-Compilation of specific yields for various materials. Geological Survey Water Supply Paper 1662-D, 74 pp.
25. Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeor., 5, 487-503, doi:10.1175/1525-7541(2004)005,0487:CAMTPG.2.0.CO;2.
26. Kalma, J. D., T. R. McVicar, and M. F. McCabe, 2008: Estimating land surface evaporation:Areview of methods using remotely sensed surface temperature data. Surv. Geophys., 29, 421-469, doi:10.1007/s10712-008-9037-z.
27. Lubczynski, M. W., and J. Gurwin, 2005: Integration of various data sources for transient groundwater modeling with spatiotemporally variable fluxes-Sardon study case, Spain. J. Hydrol., 306, 71-96, doi:10.1016/j.jhydrol.2004.08.038.
28. Ma, W., M. Hafeez, U. Rabbani, H. Ishikawac, and Y. Ma, 2012: Retrieved actual ET using SEBS model from Landsat-5 TM data for irrigation area of Australia. Atmos. Environ., 59, 408-414, doi:10.1016/j.atmosenv.2012.05.040.
29. Ma, Y., M. Song, H. Ishikawa, K. Yang, T. Koike, L. Jia, M. Menenti, and Z. Su, 2007: Estimation of the regional evaporative fraction over the Tibetan plateau area by using Landsat-7 ETM data and the field observations. J. Meteor. Soc. Japan, 85A, 295-309, doi:10.2151/jmsj.85A.295.
30. McCabe, M. F., E. F. Wood, R. Wojcik, M. Pan, J. Sheffield, H. Gao, and H. Su, 2008: Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies. Remote Sens. Environ., 112, 430-444, doi:10.1016/j.rse.2007.03.027.
31. Muskett, R. R., 2012: Multi-satellite and sensor derived trends and variation of snow water equivalent on the high-latitudes of the northern hemisphere. Int. J. Geosci., 3, 1-13, doi:10.4236/ijg.2012.31001.
32. Naing, Z. W., 2011: Groundwater fluxes in the Konya closed basin, Turkey. M.S. thesis, Water Resources Department, University of Twente, 55 pp.
33. Oku, Y., H. Ishikawa, and Z. B. Su, 2007: Estimation of land surface heat fluxes over the Tibetan Plateau using GMS data. J. Appl. Meteor. Climatol., 46, 183-195, doi:10.1175/JAM2456.1.
34. Owe, M., R. de Jeu, and T. Holmes, 2008: Multisensor historical climatology of satellite-derived global land surface moisture. J. Geophys. Res., 113, F01002, doi:10.1029/2007JF000769.
35. Pagano, T. C., and S. Sorooshian, 2006: Global water cycle (fundamental, theory, mechanisms). Encyclopedia of Hydrological Sciences, Vol. 5, M. G. Anderson and J. J. McDonnell, Eds., Wiley, 2697-2711.
36. Pan, M., E. F. Wood, R. Wojcik, and M. F. McCabe, 2008: Estimation of regional terrestrial water cycle using multisensor remote sensing observations and data assimilation. Remote Sens. Environ., 112, 1282-1294, doi:10.1016/j. rse.2007.02.039.
37. Pan, M., A. K. Sahoo, T. J. Troy, R. K. Vinukollu, J. Sheffield, and E. F. Wood, 2012: Multisource estimation of long-term terrestrial water budget for major global river basins. J. Climate, 25, 3191-3206, doi:10.1175/JCLI-D-11-00300.1.
38. Parsons, A. J., and A. D. Abrahams, 1994: Geomorphology of desert environments. Geomorphology of Desert Environments, A.D. Abrahams and A.J. Parsons, Eds., CRC Press, 1-12.
39. Penck, A., 1896: Unterschungen €uber Verbunstung und Abfluss von gr€osseren Landfl€achen. Geogr. Abh., 5, 5.
40. Prigent, C., F. Chevallier, F. Karbou, P. Bauer, and G. Kelly, 2005: AMSU-A land surface emissivity estimation for numerical weather prediction assimilation schemes. J. Appl. Meteor., 44, 416-426, doi:10.1175/JAM2218.1.
41. Sahoo, A. K., M. Pan, T. J. Troy, R. K. Vinukollu, J. Sheffield, and E. F. Wood, 2011: Reconciling the global terrestrial water budget using satellite remote sensing. Remote Sens. Environ., 115, 1850-1865, doi:10.1016/j.rse.2011.03.009.
42. Seneviratne, S. I., T. Corti, E. L. Davin, M. Hirschi, E. B. Jaeger, I. Lehner, B. Orlowsky, andA. J. Teuling, 2010: Investigating soil moisture-climate interactions in a changing climate: A review. Earth Sci. Rev., 99, 125-161, doi:10.1016/j.earscirev.2010.02.004.
43. Serreze, M. C., M. P. Clark, R. L. Armstrong, D. A. McGinnis, and R. S. Pulwarty, 1999: Characteristics of the Western United States snowpack from snowpack telemetry (SNOTEL) data. Water Resour. Res., 35, 2145-2160, doi:10.1029/1999WR900090.
44. Sheffield, J., C. R. Ferguson, T. J. Troy, E. F. Wood, and M. F. McCabe, 2009: Closing the terrestrial water budget from satellite remote sensing. Geophys. Res. Lett., 36, L07403, doi:10.1029/2009GL037338.
45. Snyder, R. L., M. Orang, S. Matyac, and M. E. Grismer, 2005: Simplified estimation of reference evapotranspiration from pan evaporation data in California. J. Irrig. Drain. Eng., 131, 249-253, doi:10.1061/(ASCE)0733-9437(2005)131:3(249).
46. Su, H., M. F. McCabe, E. F. Wood, Z. Su, and J. H. Prueger, 2005: Modeling evapotranspiration during SMACEX: Comparing two approaches for local- and regional-scale prediction. J. Hydrometeor., 6, 910-922, doi:10.1175/JHM466.1.
47. Su, Z., 2002: The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Syst. Sci., 6, 85-99, doi:10.5194/hess-6-85-2002.
48. Su, Z., and Coauthors, 2010: Earth observation Water Cycle Multi- Mission Observation Strategy (WACMOS). Hydrol. Earth Syst. Sci. Discuss., 7, 7899-7956, doi:10.5194/hessd-7-7899-2010.
49. Swenson, S., and J. Wahr, 2002: Methods for inferring regional surface-mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time-variable gravity. J. Geophys. Res., 107, 2193, doi:10.1029/2001JB000576.
50. Tang, Q., H. Gao, P. Yeh, T. Oki, F. Su, and D. P. Lettenmaier, 2010: Dynamics of terrestrial water storage change from satellite and surface observations and modeling. J. Hydrometeor., 11, 156-170, doi:10.1175/2009JHM1152.1.
51. van der Kwast, J., and Coauthors, 2009: Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain). Hydrol. Earth Syst. Sci., 13, 1337-1347, doi:10.5194/hess-13-1337-2009.
52. Vinukollu, R. K., E. F. Wood, C. R. Ferguson, and J. B. Fisher, 2011: Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches. Remote Sens. Environ., 115, 801-823, doi:10.1016/j.rse.2010.11.006.
53. Wada, Y., L. P. H. van Beek, and M. F. P. Bierkens, 2012: Nonsustainable groundwater sustaining irrigation: A global assessment. Water Resour. Res., 48, W00L06, doi:10.1029/2011WR010562.
54. Wahr, J., S. Swenson, and I. Velicogna, 2006: Accuracy of GRACE mass estimates. Geophys. Res. Lett., 33, L06401, doi:10.1029/2005GL025305.
55. Yeh, P. J.-F., S. C. Swenson, J. S. Famiglietti, and M. Rodell, 2006: Remote sensing of groundwater storage changes in Illinois using the Gravity Recovery and Climate Experiment (GRACE). Water Resour. Res., 42, W12203, doi:10.1029/2006WR005374.