Estimating Runoff Using Hydro-Geodetic Approaches

Surveys in Geophysics

Volumn 35, Issue 6, 2014, Pages 1333-1359

  Sneeuw, Nico ^a   Lorenz, Christof ^b   Devaraju, Balaji ^a   Tourian, Mohammad J ^a   Riegger, Johannes ^a   Kunstmann, Harald ^b,c   Bárdossy, András ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

^b KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^c UNIVERSITY OF AUGSBURG   (Germany)

Author keywords

Continental scale water budgets; Gravity recovery and climate experiment satellite mission (grace); Hydro geodesy; Runoff from hydro geodetic methods; Satellite altimetry; Water storage changes

Indexed keywords

ANEROID ALTIMETERS; BUDGET CONTROL; CATCHMENTS; DIGITAL STORAGE; GEODESY; GEODETIC SATELLITES; HYDROLOGY; SATELLITES; WATER LEVELS;

COMPREHENSIVE ASSESSMENT; GRAVITY RECOVERY AND CLIMATE EXPERIMENT SATELLITES; HYDROLOGICAL MODELING; METEOROLOGICAL DATASETS; PRECIPITATION RELATIONSHIPS; SATELLITE ALTIMETRY; WATER BUDGET; WATER STORAGE;

RUNOFF;

GEODESY; GRACE; RUNOFF; SATELLITE ALTIMETRY; WATER BUDGET; WATER LEVEL; WATER STORAGE;

EID: 84908583256     PISSN: 01693298     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10712-014-9300-4     Document Type: Article

References (88)

1. Adler RF, Huffman GJ, Chang A, Ferraro R, Xie P, Janowiak JE, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin P (2003) The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). J Hydrometeorol 4:1147–1167
2. Alsdorf D, Rodriguez E, Lettenmaier DP (2007) Measuring surface water from space. Rev Geophys 45:RG2002. doi:10.1029/2006RG000197
3. Asrar G, Kaye JA, Morel P (2001) NASA research strategy for earth system science: Climate component. Bull Am Meteorol Soc 82(7):1309–1329. doi:10.1175/1520-0477(2001)82<1309:NRSFES>2.3.CO;2
4. Baldocchi D, Falge E, Gu L, Olson R, Hollinger D, Running S, anthoni P, Bernhofer C, Davis K, Evans R, Fuentes J, Goldstein a, Katul G, Law B, Lee X, Malhi Y, Meyers T, Munger W, Oechel W, Paw KT, Pilegaard K, Schmid HP, Valentini R, Verma S, Vesala T, Wilson K, Wofsy S (2001) Fluxnet: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull Am Meteorol Soc 82(11):2415–2434. doi:10.1175/1520-0477(2001) 082<2415:FaNTTS>2.3.CO;2
5. Berry PAM, Garlick JD, Freeman JA, Mathers EL (2005) Global inland water monitoring from multi-mission altimetry. Geophys Res Lett 32(16). doi:10.1029/2005GL022814
6. Bettadpur S (2007) Gravity recovery and climate experiment, level-2 gravity field product user handbook. Center for Space Research, The University of Texas at Austin GRACE 327-734:CSR-GR-03-01
7. Bettadpur S (2012) UTCSr level-2 processing standards document (for level-2 product release 0005). Technical report rev. 4.0, Center for Space research, The University of Texas at Austin
8. Birkett CM (1998) Contribution of the TOPEX NASA radar altimeter to the global monitoring of large rivers and wetlands. Water Resour Res 34(5):1223–1239. doi:10.1029/98WR00124
9. Birkinshaw SJ, O’Donnell GM, Moore P, Kilsby CG, Fowler HJ, Berry PAM (2010) Using satellite altimetry data to augment flow estimation techniques on the mekong river. Hydrol Process 24(26):3811–3825. doi:10.1002/hyp.7811
10. Bjerklie DM, Dingman SL, Vörösmarty CJ, Bolster CH, Congalton RG (2003) Evaluating the potential for measuring river discharge from space. J Hydrol 278(1–4):17–38. doi:10.1016/S0022-1694(03)00129-X
11. Chahine MT (1992) GEWEX: The global energy and water cycle experiment. Eos Trans Am Geophys Union 73(2):9–14. doi:10.1029/91EO00007
12. Chen F, Mitchell K, Schaake J, Xue Y, Pan H, Koren V, Duan Y, Ek M, Betts A (1996) Modeling of land-surface evaporation by four schemes and comparison with fife observations. J Geophys Res 101:7251–7268. doi:10.1029/95JD02165
13. Chen JL, Wilson CR, Tapley BD (2010) The 2009 exceptional Amazon flood and interannual terrestrial water storage change observed by GRACE. Water Resour Res 46(12). doi:10.1029/2010WR009383
14. Cheng M, Ries J (2013) Monthly estimates of C20 from 5 SLR satellites based on GRACE RL05 models. GRACE technical note 7, Center for Space Research, The University of Texas at Austin
15. CLIVAR Scientific Steering Group and World Climate Research Programme (1995) CLIVAR, a study of climate variability and predictability: Science plan, vol 89. World Climate Research Programme
16. Coe MT, Birkett CM (2004) Calculation of river discharge and prediction of lake height from satellite radar altimetry: Example for the lake Chad basin. Water Resour Res 70:W10205. doi:10.1029/2003WR002543
17. Dahle C, Flechtner F, Gruber C, König D, König R, Michalak G, Neumayer KH (2013) GFZ GRACE level-2 processing standards document (for level-2 product release 0005). Scientific technical report rev. 1.1, GFZ German Research Centre for Geosciences
18. da Silva JS, Calmant S, Seyler F, Filho OCR, Cochonneau G, Mansur WJ (2010) Water levels in the Amazon basin derived from the ERS 2 and ENVISAT radar altimetry missions. Remote Sens Environ 114(10):2160–2181. doi:10.1016/j.rse.2010.04.020
19. Derber JC, Parrish DF, Lord SJ (1991) The new global operational analysis system at the national meteorological center. Weather Forecast 6:538–547. doi:10.1175/1520-0434(1991)006<0538:TNGOAS>2.0.CO;2
20. Dorigo WA, Wagner W, Hohensinn R, Hahn S, Paulik C, Xaver A, Gruber A, Drusch M, Mecklenburg S, van Oevelen P, Robock A, Jackson T (2011) The international soil moisture network: A data hosting facility for global in situ soil moisture measurements. Hydrol Earth Syst Sci 15(5):1675–1698. doi:10.5194/hess-15-1675-2011
21. Durand M, Fu LL, Lettenmaier D, Alsdorf D, Rodriguez E, Esteban-Fernandez D (2010) The surface water and ocean topography mission: Observing terrestrial surface water and oceanic submesoscale eddies. Proc IEEE 98(5):766–779. doi:10.1109/JPROC.2010.2043031
22. Ek MB, Mitchell KE, Lin Y, Rogers E, Grunmann P, Koren V, Gayno G, Tarpley JD (2003) Implementation of Noah land surface model advances in the national centers for environmental prediction operational mesoscale $$ET_{{\rm a}}$$ETa model. J Geophys Res 108(D22):8851. doi:10.1029/2002JD003296
23. Fekete BM, Looser U, Pietroniro A, Robarts RD (2012) Rationale for monitoring discharge on the ground. J Hydrometeorol 13(6):1977–1986. doi:10.1175/JHM-D-11-0126.1
24. Fellous JL (2014) Global climate observing system. In: Njoku E (ed) Encyclopedia of remote sensing, encyclopedia of earth sciences series. Springer, New York, pp 254–257. doi:10.1007/978-0-387-36699-9_56
25. Ferguson C, Sheffield J, Wood E, Gao H (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
26. Fersch B, Kunstmann H, Bárdossy A, Devaraju B, Sneeuw N (2012) Continental-scale basin water storage variation from global and dynamically downscaled atmospheric water budgets in comparison with GRACE-derived observations. J Hydrometeorol 1589–1603. doi:10.1175/jhm-d-11-0143.1
27. Frappart F, Calmant S, Cauhopé M, Seyler F, Cazenave A (2006) Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin. Remote Sens Environ 100(2):252–264. doi:10.1016/j.rse.2005.10.027
28. Frappart F, Ramillien G, Ronchail J (2013) Changes in terrestrial water storage versus rainfall and discharges in the Amazon basin. Int J Climatol 33(14):3029–3046. doi:10.1002/joc.3647
29. Fu LL, Cazenave A (2001) Satellite altimetry and earth sciences: A handbook of techniques and applications. International geophysics series, vol 69. Academic Press, San Deigo
30. Getirana ACV (2010) Integrating spatial altimetry data into the automatic calibration of hydrological models. J Hydrol 387:244–255. doi:10.1016/j.jhydrol.2010.04.013
31. Getirana ACV, Peters-Lidard C (2013) Estimating water discharge from large radar altimetry datasets. Hydrol Earth Syst Sci 17(3):923–933. doi:10.5194/hess-17-923-2013
32. Gilchrist WG (2000) Statistical modelling with quantile functions. Chapman & Hall, London
33. Gleick PH, Cooley H, Famiglietti JS, Lettenmaier DP, Oki T, Vörösmarty CJ, Wood EF (2013) Improving understanding of the global hydrologic cycle. In: Asrar GR, Hurrell JW (eds) Climate science for serving society. Springer, Dordrecht, pp 151–184. doi:10.1007/978-94-007-6692-1_6
34. Gupta H, Sorooshian S, Yapo PO (1999) Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. J Hydrol Eng 4:135–143. doi:10.1061/(ASCE)1084-0699(1999)4:2(135)
35. Hrachowitz M, Savenije HHG, Blöschl G, McDonnell JJ, Sivapalan M, Pomeroy JW, Arheimer B, Blume T, Clark MP, Ehret U, Fenicia F, Freer JE, Gelfan A, Gupta HV, Hughes DA, Hut RW, Montanari A, Pande S, Tetzlaff D, Troch PA, Uhlenbrook S, Wagener T, Winsemius HC, Woods RA, Zehe E, Cudennec C (2013) A decade of predictions in ungauged basins (PUB)—a review. Hydrol Sci J 58(6):1–58. doi:10.1080/02626667.2013.803183
36. ICGEM (2013) International centre for global earth models. (Accessed 11 June 2013)
37. Jung M, Reichstein M, Ciais P, Seneviratne SI, Sheffield J, Goulden ML, Bonan G, Cescatti A, Chen J, de Jeu R, Dolman AJ, Eugster W, Gerten D, Gianelle D, Gobron N, Heinke J, Kimball J, Law BE, Montagnani L, Mu Q, Mueller B, Oleson K, Papale D, Richardson AD, Roupsard O, Running S, Tomelleri E, Viovy N, Weber U, Williams C, Wood E, Zaehle S, Zhang K (2010) Recent decline in the global land evapotranspiration trend due to limited moisture supply. Nature 467(7318):951–954. doi:10.1038/nature09396
38. Koblinsky CJ, Clarke RT, Brenner AC, Frey H (1993) Measurement of river level variations with satellite altimetry. Water Resour Res 29(6):1839–1848. doi:10.1029/93WR00542
39. Kopp TJ, Kiess RB (1996) The air force global weather central cloud analysis model. In: 15th conference on weather analysis and forecasting, pp 220–222
40. Koren V, Schaake J, Mitchell K, Duan QY, Chen F, Baker JM (1999) A parameterization of snowpack and frozen ground intended for ncep weather and climate models. J Geophys Res 104:569–585. doi:10.1029/1999JD900232
41. Kouraev AV, Zakharova EA, Samain O, Mognard NM, Cazenave A (2004) Ob’ river discharge from TOPEX/poseidon satellite altimetry (1992–2002). Remote Sens Environ 93(12):238–245. doi:10.1016/j.rse.2004.07.007
42. Kusche J (2007) Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models. J Geod 81:733–749. doi:10.1007/s00190-007-0143-3
43. Lawford R, Strauch A, Toll D, Fekete B, Cripe D (2013) Earth observations for global water security. Curr Opin Environ Sustain 5(6):633–643. doi:10.1016/j.cosust.2013.11.009 aquatic and marine systems
44. Leon J, Calmant S, Seyler F, Bonnet MP, Cauhop M, Frappart F, Filizola N, Fraizy P (2006) Rating curves and estimation of average water depth at the upper Negro River based on satellite altimeter data and modeled discharges. J Hydrol 328(34):481–496. doi:10.1016/j.jhydrol.2005.12.006
45. Lohmann D, Mitchell KE, Houser PR, Wood EF, Schaake JC, Robock A, Cosgrove BA, Sheffield J, Duan Q, Luo L et al (2004) Streamflow and water balance intercomparisons of four land surface models in the North American land data assimilation system project. J Geophys Res Atmos (1984–2012) 109(D07):S91. doi:10.1029/2003JD003517
46. Long D, Longuevergne L, Scanlon BR (2014) Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites. Water Resour Res 50(2):1131–1151. doi:10.1002/2013WR014581
47. Longuevergne L, Scanlon BR, Wilson CR (2010) GRACE hydrological estimates for small basins: Evaluating processing approaches on the High Plains Aquifer, USA. Water Resour Res 46(W11):517. doi:10.1029/2009WR008564
48. Lorenz C (2009) Applying stochastic constraints on time-variable shape grace data. University of Stuttgart, Stuttgart
49. Lorenz C, Kunstmann H (2012) The hydrological cycle in three state-of-the-art reanalyses: Intercomparison and performance analysis. J Hydrometeorol 13:1397–1420. doi:10.1175/JHM-D-11-088.1
50. Lorenz C, Devaraju B, Tourian MJ, Riegger J, Kunstmann H, Sneeuw N (2014) Large-scale runoff from landmasses: A global assessment of the closure of the hydrological and atmospheric water balances. J Hydrometeorol. doi:10.1175/JHM-D-13-0157.1
51. Miralles DG, Holmes TRH, De Jeu RAM, Gash JH, Meesters AGCA, Dolman AJ (2011) Global land-surface evaporation estimated from satellite-based observations. Hydrol Earth Syst Sci 15(2):453–469. doi:10.5194/hess-15-453-2011
52. Moriasi DN, Arnold JG, Liew MWV, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900. Available at: Http://swat.tamu.edu/media/1312/moriasimodeleval.pdf
53. Mu Q, Heinsch FA, Zhao M, Running SW (2007) Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens Environ 111(4):519–536. doi:10.1016/j.rse.2011.02.019
54. Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models: Part 1. A discussion of principles. J Hydrol 10:282–290. doi:10.1016/0022-1694(70)90255-6
55. Paiva RCD, Buarque DC, Collischonn W, Bonnet MP, Frappart F, Calmant S, Mendes CAB (2013) Large-scale hydrologic and hydrodynamic modelling of the Amazon river basin. Water Resour Res 49:1226–1243. doi:10.1002/wrcr.20067
56. Papa F, Güntner A, Frappart F, Prigent C, Rossow WB (2008) Variations of surface water extent and water storage in large river basins: A comparison of different global data sources. Geophys Res Lett 35(11). doi:10.1029/2008GL033857
57. Papa F, Durand F, Rossow WB, Rahman A, Bala SK (2010) Satellite altimeter-derived monthly discharge of the Ganga–Brahmaputra river and its seasonal to interannual variations from 1993 to 2008. J Geophys Res 115(C12):013. doi:10.1029/2009JC006075
58. Peixoto JP, Oort AH (1992) Physics of climate. American Institute of Physics, New York
59. Riegger J, Tourian MJ (2014) Characterization of runoff-storage relationships by satellite gravimetry and remote sensing. Water Resour Res. doi:10.1002/2013WR013847
60. Riegger J, Tourian M, Devaraju B, Sneeuw N (2012) Analysis of grace uncertainties by hydrological and hydro-meteorological observations. J Geodyn 59:16–27. doi:10.1016/j.jog.2012.02.001
61. Roads JO, Chen SC, Guetter AK, Georgakaos KP (1994) Large-scale aspects of the United States hydrologic cycle. Bullet Am Meteorol Soc 75:1589–1610. doi:10.1175/1520-0477(1994)075<1589:LSAOTU>2.0.CO;2
62. Rodell M, Famiglietti JS, Chen J, Seneviratne SI, Viterbo P, Holl S, Wilson CR (2004a) Basin scale estimates of evapotranspiration using GRACE and other observations. Geophys Res Lett 31(20). doi:10.1029/2004GL020873
63. Rodell M, Houser P, Jambor U, Gottschalck J, Mitchell K, Meng CJ, Arsenault K, Cosgrove B, Radakovich J, Bosilovich M, Entin J, Walker J, Lohmann D, Toll D (2004b) The global land data assimilation system. Bull Am Meteorol Soc 85(3):381–394
64. Rodell M, Velicogna I, Famiglietti J (2009) Satellite-based estimates of ground-water depletion in india. Nature 460:999–1002. doi:10.1038/nature08238
65. Sahoo AK, Pan M, Troy TJ, Vinukollu RK, Sheffield J, Wood EF (2011) Reconciling the global terrestrial water budget using satellite remote sensing. Remote Sens Environ 115(8):1850–1865. doi:10.1016/j.rse.2011.03.009
66. Salvucci GD, Gentine P (2013) Emergent relation between surface vapor conductance and relative humidity profiles yields evaporation rates from weather data. Proc Natl Acad Sci 110:6287–6291. doi:10.1073/pnas.1215844110
67. Schlosser CA, Houser PR (2007) Assessing a satellite-era perspective of the global water cycle. J Clim 20:1316–1338. doi:10.1175/JCLI4057.1
68. Schneider U, Becker A, Finger P, Meyer-Christoffer A, Ziese M, Rudolf B (2014) gpcc’s new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle. Theoret Appl Climatol 115:15–40. doi:10.1007/s00704-013-0860-x
69. Seo KW, Wilson CR, Han SC, Waliser DE (2008) Gravity recovery and climate experiment (GRACE) alias error from ocean tides. J Geophys Res 113(B03):405. doi:10.1029/2006JB004747
70. Sheffield J, Ferguson CR, Troy TJ, Wood EF, McCabe MF (2009) Closing the terrestrial water budget from satellite remote sensing. Geophys Res Lett 36(7). doi:10.1029/2009GL037338
71. Simmons A, Uppala S, Dee D, Kobayashi S (2006) ERA-interim: New ECMWF reanalysis products. ECMWF Newsl 110:25–35
72. Southwood D (1999) Introducing the ‘Living Planet’ programme—the ESA strategy for earth observation. Technical report, European Space Agency, ESA Publications Division, Noordwijk, The Netherlands
73. Syed T, Famiglietti J, Chambers D (2009) GRACE-based estimates of terrestrial freshwater discharge from basin to continental scales. J Hydrometeorol 10:22–40. doi:10.1175/2008JHM993.1
74. Syed TH, Famiglietti JS, Chen J, Rodell M, Seneviratne SI, Viterbo P, Wilson CR (2005) Total basin discharge for the Amazon and Mississippi river basins from GRACE and a land-atmosphere water balance. Geophys Res Lett 32(L24):404. doi:10.1029/2005GL024851
75. Syed TH, Famiglietti JS, Zlotnicki V, Rodell M (2007) Contemporary estimates of Pan-Arctic freshwater discharge from GRACE and reanalysis. Geophys Res Lett 34(19). doi:10.1029/2007GL031254
76. Tourian MJ, Sneeuw N, Bárdossy A (2013) A quantile function approach to discharge estimation from satellite altimetry (ENVISAT). Water Resour Res 49:1–13. doi:10.1002/wrcr.20348
77. Trenberth K, Asrar G (2014) Challenges and opportunities in water cycle research: WCRP contributions. Surv Geophys 35(3):515–532. doi:10.1007/s10712-012-9214-y
78. Trenberth KE, Smith L, Qian T, Dai A, Fasullo J (2007) Estimates of the global water budget and its annual cycle using observational and model data. J Hydrometeorol 8:758–769. doi:10.1175/JHM600.1
79. Vergnes JP, Decharme B (2012) A simple groundwater scheme in the TRIP river routing model: Global off-line evaluation against GRACE terrestrial water storage estimates and observed river discharges. Hydrol Earth Syst Sci Discuss 9:3889–3908. doi:10.5194/hess-16-3889-2012
80. Vinukollu RK, Wood EF, Ferguson CR, Fisher JB (2011) Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches. Remote Sens Environ 115(3):801–823. doi:10.1016/j.rse.2010.11.006
81. Wahr J, Molenaar M, Bryan F (1998) The time-varibility of the earth’s gravity field: Hydrological and oceanic effects and their possible detection using GRACE. J Geophys Res 103:30205–30230. doi:10.1029/98JB02844
82. Werth S, Güntner A, Schmidt R, Kusche J (2009) Evaluation of GRACE filter tools from a hydrological perspective. Geophys J Int 179:1499–1515. doi:10.1111/j.1365-246X.2009.04355.x
83. Wessel P, Smith WHF (1991) Free software helps map and display data. EOS Trans AGU 72(41):441–446
84. Wilson W, Bates P, Alsdorf D, Forsberg B, Horritt M, Melack J, Frappart F, Famiglietti J (2007) Modeling large-scale inundation of Amazonian seasonally flooded wetlands. Geophys Res Lett 34(L15):404. doi:10.1029/2007GL030156
85. Xie P, Arkin PA (1997) Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558. doi:10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2
86. Zaitchik BF, Rodell M, Olivera F (2010) Evaluation of the Global Land Data Assimilation System using global river discharge data and a source-to-sink routing scheme. Water Resour Res 46:W06507
87. Zakharova EA, Kouraev AV, Cazenave A, Seyler F (2006) Amazon river discharge estimated from TOPEX/poseidon altimetry. C R Geosci 338:188–196. doi:10.1016/j.crte.2005.10.003
88. Zhou X, Zhang Y, Wang Y, Zhang H, Vaze J, Zhang L, Yang Y, Zhou Y (2012) Benchmarking global land surface models against the observed mean annual runoff from 150 large basins. J Hydrol 470:269–279. doi:10.1016/j.jhydrol.2012.09.002