A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data

Hydrology and Earth System Sciences

Volumn 16, Issue 1, 2012, Pages 1-18

  Velpuri, N M ^a   Senay, G B ^a,b   Asante, K O ^c  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

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

^c Climatus LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DIGITAL ELEVATION; ENVISAT SATELLITE; EVAPORATIVE DEMANDS; GROUND TRUTH; HYDROLOGIC MODELS; HYDROLOGICAL MODELS; IN-SITU DATA; JASON-1; LAKE LEVELS; MODEL ERRORS; MODEL VALIDATION; MODELLING TIME; MULTISOURCES; NASH-SUTCLIFFE COEFFICIENT; NATURAL VARIABILITY; PEARSON'S CORRELATION COEFFICIENTS; QUANTITATIVE ASSESSMENTS; RAINFALL ESTIMATES; REMOTE LOCATION; SATELLITE ALTIMETRY DATA; SATELLITE DATA; SEASONAL VARIATION; TOPEX/POSEIDON; UNGAUGED BASINS; VALIDATION PERIODS; WATER BALANCE; WATER BALANCE MODELS; WATER-LEVEL FLUCTUATION;

ANEROID ALTIMETERS; CALIBRATION; CLIMATE MODELS; CORRELATION METHODS; GEODETIC SATELLITES; RAIN; SURFACE WATER RESOURCES; WATER LEVELS; WATER SUPPLY;

LAKES;

ANNUAL VARIATION; CALIBRATION; DIGITAL ELEVATION MODEL; ENVISAT-1; EVAPOTRANSPIRATION; JASON-1; MODEL VALIDATION; RAINFALL; RUNOFF; SATELLITE ALTIMETRY; SATELLITE DATA; SEASONAL VARIATION; TOPEX-POSEIDON; WATER BUDGET; WATER LEVEL;

EAST AFRICAN LAKES; LAKE TURKANA;

EID: 84855519789     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-16-1-2012     Document Type: Article

References (82)

1. Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An Introduction to the European Hydrological System-Systeme Hydrologique European "SHE" 1: History and Philosophy of a Physical, Distributed Modeling System, J. Hydrol., 87, 45-59, 1986.
2. Addiscott, T. M., Smith, J., and Bradbury, N.: Critical evaluation of models and their parameters, J. Environ. Qual., 24, 803-807, 1995.
3. Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper, Rome, 56, 1998.
4. Allen, R. G. and Tasumi, M.: Evaporation from American Falls Reservoir in Idaho via a combination of Bowen ratio and eddy covariance, Proceedings of EWRI Conference, Anchorage, Alaska, 15-19 May 2005.
5. Allen, R. G., Tasumi, M., Morse, A., and Trezza, R.: A landsat based energy balance and evapotranspiration model in the Western US water rights regulation and planning, Irrig. Drain. Syst., 19, 251-268, 2005. (Pubitemid 43013241)
6. Alsdorf, D., Birkett, C., Dunne, T., Melack, J., and Hess, L.: Water level changes in a large Amazon lake measured with spaceborne radar interferometry and altimetry, Geophys. Res. Lett., 28, 2671-2674, 2001. (Pubitemid 32782216)
7. Alsdorf, D. E., Rodriguez, E., and Lettenmaier, D. P.: Measuring surface water from space, Rev. Geophys., 45, RG2002, doi:10.1029/2006RG000197, 2007. (Pubitemid 47323997)
8. Anyamba, A., Tucker, C. J., and Eastman, J. R.: NDVI anomaly patterns over Africa during 1997/1998 ENSO warm event, Int. J. Remote Sens., 22, 1847-1859, 2001. (Pubitemid 32555000)
9. Anyamba, A., Tucker, C. J., and Mahoney, R.: From El Niño to La Niña: Vegetation response over east and south Africa during 1997-2000 periods, J. Climate, 15, 3096-3103, 2002. (Pubitemid 35474249)
10. Artan, G., Gadian, H., Smith, J. L., Asante, K. O., Badaragoda, C. J., and Verdin, J. P.: Adequacy of satellite derived rainfall data for stream flow modeling, Nat. Hazards, 43, 167-185, 2007. (Pubitemid 47555147)
11. Asante, K. O.: Approaches to continental scale river flow routing, Ph.D. dissertation, University of Texas at Austin, 281, 2000.
12. Asante, K. O., Artan, G. A., Pervez, S., Bandaragoda, C., and Verdin, J. P.: Technical documentation of the Geospatial Stream flow Model (GeoSFM), USGS EROS Center, 2007.
13. Avery, S.: Hydrological impacts of Ethiopia's Omo basin on Kenya's lake Turkana water levels and fisheries, African Development Bank, Tunis, 146, 2010.
14. Awange, J. L., Ogalo, L., Bae, K. H., Were, P., Omondi, P., Omute, P., and Omullo, M.: Falling Lake Victoria water levels: Is climate a contributing factor?, Climatic Change, 89, 281-297, 2008.
15. Bates, B. C., Kundzewicz, Z. W., Wu, S., and Palutikof, J. P.: Climate Change and Water, Technical Paper of the IPCC, IPCC Secretariat, Geneva, 210, 2008.
16. Becker, M., Llovel, W., Cazenave, A., Gunter, A., and Cretaux, J. F.: Recent hydrological behavior of the East African great lakes region inferred from GRACE, satellite altimetry and rainfall observations, Comptes Rendus Geoscience, 342, 223-233, 2010.
17. Behera, S. K., Luo, J. J., Masson, S., Delecluse, P., Gualdi, S., Navarra, A., and Yamagata, T.: Paramount impact of the Indian Ocean dipole on the east African short rains: A CGCM study, J. Climate, 18, 4514-4530, 2005. (Pubitemid 41805486)
18. Beven, K.: On explanatory depth and predictive power, Hydrol. Process., 15, 3069-3072, 2001. (Pubitemid 33023934)
19. Birkett, C. M.: The contribution of TOPEX/POSEIDON to the global monitoring of climatically sensitive lakes, J. Geophys. Res., 100, 25179-25904, 1995.
20. Birkett, C. M. and Mason, I. M.: A new global lakes database for a remote sensing program studying climatically sensitive large lakes, J. Great Lakes Res., 21, 307-318, 1995. (Pubitemid 26475097)
21. Birkett, C. M., Murtugudde, R., and Allan, T.: Indian Ocean climate even brings floods to East Africa's Lakes and the Sudd Marsh, Geophys. Res. Lett., 26, 1031-1034, 1999. (Pubitemid 29390815)
22. Carr, C. J.: Patterns of vegetation along the Omo River in the southwest Ethiopia, Plant Ecol., 135, 135-163, 1998. (Pubitemid 28186901)
23. Cerling, T. E.: A mass-balance approach to basin sedimentation: Constraints on the recent history of the Turkana basin, Palaeo-geogr. Palaeocl., 43, 129-151, 1986.
24. Cretaux, J. and Birkett, C.: Lake studies from satellite radar altime-try, Comptes Rendus Geosciences, 338, 1098-1112, 2006. (Pubitemid 44793729)
25. Cretaux, J., Jelinski, W., Calmant, S., Kouraev, A., Vuglinski, V., Berge-Nguyen, M., Gennero, M.-C., Nino, F., Abarca Del Rio, R., Cazenave, A., and Maisongrante, P.: SOLS: A lake database to monitor in the Near Real Time water level and storage variations from remote sensing data, Adv. Space Res., 47, 1497-1507, 2011.
26. Crow, W. T. and Ryu, D.: A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals, Hydrol. Earth Syst. Sci., 13, 1-16, doi:10.5194/hess-13-1-2009, 2009.
27. Dinku, T., Chidzambwa, S., Ceccato, P., Connor, S. J., and Ro-pelewski, C. F.: Validation of high resolution satellite rainfall products over complex terrain, Int. J. Remote Sens., 29, 4097-4110, 2008. (Pubitemid 351917142)
28. FAO.: Digital Soil Map of the World Version 3.5 (CD-ROM), FAO, Rome, 1995.
29. Farr, T. G. and Kobrick, M.: Shuttle Radar Topography Mission produces a wealth of data, EOS Trans. AGU, 81, 583-585, 2000.
30. Fu, L.-L., Christensen, E. J.,Yamarone Jr., C. A., Lefebvre, M., Menard, Y., Dorrer, M., and Escudier, P.: TOPEX/POSEIDON mission overview, J. Geophys. Res., 24, 24369-24381, 1994.
31. Galvin, K. A., Boone, B., Smith, M., and Lynna, J.: Impacts of climate variability on East African pastoralists: linking social science and remote sensing, Clim. Res., 19, 161-172, 2001. (Pubitemid 34829721)
32. Getirana, A. C. V., Bonnet, M.-P., Rotunno Filho, O. C., Col-lischonn, W., Guyot, J.-L., Seyler, F., and Mansur, W. J.: Hydro-logical modelling and water balance of the Negro River basin: evaluation based on in situ and spatial altimetry data, Hydrol. Process., 24, 3219-3236, 2010.
33. Gibson, J. J., Prowse, T. D., and Peters, D. L.: Hydroclimatic controls on water balance and water level variability in Great Slave lake, Hydrol. Process., 20, 4155-4172, 2006. (Pubitemid 44970641)
34. Gong, L., Widen-Nilsson, E., Halldin, S., and Xu, C. Y.: Large-scale runoff routing with an aggregated network response function, 368, 237-250, 2009.
35. Hansen, M. C., Defries, R., Townshend, J., Carrol, M., Dimiceli, C., and Sohlberg, A.: Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS VCF algorithm, Earth Interact., 7, 1-15, 2003.
36. Harvey, F. E., Rudolph, D. L., and Frape, S. K.: Estimating Ground water flux into large lakes: Application in the Hamilton Harbor, Western Lake Ontario, Ground Water, 38, 550-565, 2000. (Pubitemid 30411079)
37. Herman, A., Kumar, V. B., Arkin, P. A., and Kousky, J. V.: Objectively Determined 10-Day African Rainfall Estimates Created for Famine Early Warning Systems, Int. J. Remote Sens., 18, 2147-2159, 1997.
38. Hörmann, G., Branding, A., Clemen, T., Herbst, M., Hinrichs, A., and Thamm, F.: Calculation and simulation of wind controlled canopy interception of a beech forest in Germany, Agr. Forest Meterol., 79, 131-148, 1996.
39. Huffman, G. J., Alder, R. F., Rudolf, B., Schneider, U., and Keehn, P. R.: Global precipitation estimates based on a technique for combining satellite based estimates, rain gauge analysis and NWP model precipitation information, J. Climate, 8, 1284-1295, 1995. (Pubitemid 26442033)
40. Huxman, T., Wilcox, B., Breshears, D., Scott, R., Snyder, K., Small, E. E., Hultine, K., Pockman, W. T., and Jackson, R. B.: Ecohy-drological implications of woody plant encroachment, Ecology, 86, 308-319, 2005. (Pubitemid 40356063)
41. IFRC.: Ethiopia Floods, Operations Update, International Federation of Red Cross, www.ifrc.org/docs/appeals/06/MDRET00301.pdf (last access: 9 November 2011), 2006.
42. Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P.: CMORPH: A method that produces global precipitation estimates from passive microwave and Infrared data at high spatial and temporal resolution, J. Hydrometeorol., 5, 487-503, 2004. (Pubitemid 38978529)
43. Kallqvist, T., Lien, L., and Liti, D.: Lake Turkana Limnological Study 1985-1988, Norwegian Institute of Water Resources, Report number 0-85313, 98, Norway, 1988.
44. Kalma, J. D., McVicar, R., and McCabe, F.: Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data, Surv. Geophys., 29, 421-469, 2008.
45. Kebede, S., Travi, Y., Alamayehu, T., and Marc, V.: Water balance of Lake Tana and its sensitivity to fluctuations in rainfall, Blue Nile basin, J. Hydrol., 316, 233-247, 2006. (Pubitemid 41760411)
46. Kelliher, F. M., Leuning, R., and Schulze, E. D.: Evaporation and canopy characteristics of coniferous forests and grasslands, Oe-cologia, 95, 153-163, 1993. (Pubitemid 24402320)
47. Kolding, J.: A summary of Lake Turkana: An ever-changing mixed environment, Mitt. Internat. Verein. Limnol., Stuttgart, 23, 25-35, May 1992.
48. Kundzewicz, Z. W., Graczyk, D., Maurer, T., Przymusinska, I., Radziejewski, M., Svensson, C., and Szwed, M.: Detection of change in world-wide hydrological time series of maximum annual flow, GRDC Report 32, 36, 2004.
49. Laws, K. B., Janowiak, J. E., and Huffman, G. J.: Verification of rainfall estimates over Africa using RFE, NASA MPA-RT and CMORPH, AMS Hydrology Conference, 2004.
50. Lettenmaier, D. P. and Wood, E. F.: Hydrologic forecasting, in: Handbook of Hydrology, edited by: Maidment, D. R., 26, 26.8, 1992.
51. Li, X. Y., Xu, H. Y., Sun, Y. L., and Zhang, D. S.: Lake level change and water balance analysis of Lake Qinghai, West China, Water Resour. Manage., 21, 1506-1516, 2007.
52. Mercier, F., Cazenave, A., and Maheu, C.: Interannual lake level fluctuations (1993-1999) in Africa from Topex/Poseidon: connections with ocean-atmosphere interactions over the Indian Ocean, Global Planet. Change, 32, 141-163, 2002. (Pubitemid 34489872)
53. Moges, S., Alemu, Y., and Mcfeeters, S.: Flooding in Ethiopia: Recent history and 2006 flood: Implications for the Nile Basin, edited by: Kloos, H. and Legesse, W., Cambria Press, NY, 285-305, 2010.
54. Mu, Q., Zhao, M., and Running, S. W.: Improvements to a MODIS global terrestrial evapotranspiration algorithm, Remote Sens. Environ., 115, 1781-1800, 2011.
55. Naden, P., Broadhurst, P., Tauveron, N., and Walker, A.: River routing at the continental scale: use of globally-available data and an a priori method of parameter estimation, Hydrol. Earth Syst. Sci., 3, 109-123, doi:10.5194/hess-3-109-1999, 1999.
56. NASA Science Plan 2007-2016.: Science Plan for NASA's Science Mission Directorate 2007-2106, http://science.nasa.gov/media/medialibrary/2010/03/31/ Science Plan 07.pdf (last access: 9 November 2011), 2007.
57. Nash, E. J. and Sutcliffe, J. V.: River flow forecasting through conceptual models part I - a discussion of principles, J. Hydrol., 10, 282-290, 1970.
58. NOAA/CPC.: The NOAA Climate Prediction Center, African Rainfall Estimation Algorithm, V2.0, www.cpc.ncep.noaa.gov/products/fews/RFE2.0 tech.pdf (last access: 9 November 2011), 2002.
59. Ogallo, L., Bessemoulin, P., Ceron, J. P., Mason, S., and Connor, S. J.: Adapting to climate variability and change: The climate outlook forum process, WMO Bulletin, 57, 93-102, 2008.
60. Olivera, F., Flamiglietti, J., and Asante, K.: Global scale flow routing using a source-to-sink algorithm, Water Resour. Res., 36, 2197-2207, 2000. (Pubitemid 30610908)
61. 18 record, Earth Planet. Sc. Lett., 142, 7-17, 1996.
62. Ricko, M., Carton, J. A., and Birkett, C.: Climatic effects on Lake basins, Part I: Modeling Tropical lake levels, Am. Meteorol. Soc., 24, 2983-2999, 2011.
63. Rostamian, R., Aazam, J. A., Afyuni, M., and Mousavi, S. F.: Application of a SWAT model for estimating runoff and sediment in two mountain basins, Hydrol. Sci., 53, 977-988, 2008.
64. Senay, G. B.: Modeling landscape evapotranspiration by integrating land surface phenology and water balance algorithm, Algorithms, 1, 52-68, 2008.
65. Senay, G. B. and Verdin, J. P.: Characterization of yield reduction in Ethiopia using a GIS-based crop water balance model, Can. J. Remote Sens., 6, 687-692, 2003.
66. Senay, G. B., Budde, M., Verdin, J. P., and Melesse, A. M.: A coupled remote sensing and SSEB approach to estimate actual evapotranspiration from irrigated fields, Sensors, 7, 979-1000, 2007.
67. Senay, G. B., Verdin, J., Lietzow, R., and Melesse, M.: Global daily reference evapotranspiration modeling and evaluation, J. Am. Water Res. Assoc., 44, 969-979, 2008.
68. Senay, G. B., Asante, K., and Artan, G.: Water balance dynamics in the Nile basin, Hydrol. Process., 23, 3675-3681, 2009.
69. Sivapalan, M.: Prediction in ungauged basins: a grand challenge for theoretical hydrology, Hydrol. Process., 17, 3163-3170, 2003.
70. Snell, J. D. and Sivapalan, M.: On geomorphological dispersion in natural catchments and the geomorphological unit hydrograph, Water Resour. Res., 30, 2311-2323, 1994. (Pubitemid 285279)
71. Swenson, S. and Wahr, J.: Monitoring the water balance of Lake Victoria, East Africa, from Space, J. Hydrol., 370, 163-176, 2009.
72. Tate, E., Sutcliffe, J., Conway, D., and Farquharson, F.: Water balance of Lake Victoria: update to 2000 and climate change modeling to 2100, Hydrol. Sci., 49, 563-574, 2004. (Pubitemid 38991001)
73. Tate, K. W.: Interception on rangeland watersheds, Rangeland watershed program, U. C. Cooperative Extension and USDA Natural Resources Conservation Service, 36, 1995.
74. Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, D., Pak, E., Mahoney, R., Vermont, E., and Nazmi, El.-S.: An Extended AVHRR 8-km NDVI Data Set Compatible with MODIS and SPOT Vegetation NDVI Data, Int. J. Remote Sens., 14, 4485-4498, 2005.
75. Van Rompaey, A. J. J. and Govers, G.: Data quality and model complexity for regional scale soil erosion prediction, Int. J. GIS, 16, 663-680, 2002.
76. Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S. E., Sullivan, C. A., Reidy Liermann, C., and Davies, P. M.: Global threats to human water security and river biodiversity, Nature, 467, 555-561, 2010.
77. Wagener, T., Wheater, H. S., and Gupta, H. V.: Rainfall-Runoff Modeling in Gauged and Ungauged Catchments, Imperial College Press, London, UK, 300, 2004.
78. Wahr, J., Swenson, S., Zlotnicki, V., and Velicogna, I.: Timevariable gravity from GRACE: First results, Geophys. Res. Lett., 31, 1-4, 2004.
79. Willmott, C. J. and Matsuura, K.: Advantages of the mean absolute error (MAE) over the root mean square error in assessing average model performance, Clim. Res., 30, 79-82, 2005. (Pubitemid 43072682)
80. World Food Program (WFP): Kenya's drought: No sign of any let up, WFP, Rome, Italy, http://reliefweb.int/node/70268 (last access: 9 November 2011), 2000.
81. Xie, P. and Arkin, P. A.: Analysis of Global Monthly Precipitation Using Gauge Observations, Satellite Estimates, and Numeric al Model Prediction, J. Climate, 9, 840-858, 1996.
82. Yuretich, R. F. and Cerling, T. E.: Hydrogeochemistry of Lake Turkana, Kenya: mass balance and mineral reactions in an alkaline lake, Geochim. Cosmochim. Acta, 47, 1099-1109, 1983.