Continental-scale basin water storage variation from global and dynamically downscaled atmospheric water budgets in comparison with GRACE-derived observations

Journal of Hydrometeorology

Volumn 13, Issue 5, 2012, Pages 1589-1603

  Fersch, Benjamin ^a   Kunstmann, Harald ^a   Bárdossy, András ^b   Devaraju, Balaji ^b   Sneeuw, Nico ^b  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF STUTTGART   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; ATMOSPHERIC MOISTURE; BASIN; CATCHMENT; CLIMATE MODELING; GRACE; PRECIPITATION ASSESSMENT; REGIONAL CLIMATE; WATER BUDGET; WATER STORAGE; WEATHER FORECASTING;

AMAZON BASIN; AUSTRALIA; CHAD; LENA BASIN; NIGER [WEST AFRICA]; RUSSIAN FEDERATION; SAHARA; YENISEI BASIN;

EID: 84869396191     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-11-0143.1     Document Type: Article

References (55)

1. Adler, R. F., and Coauthors, 2003: The Version-2 Global Pre- cipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-present). J. Hydrometeor., 4, 1147-1167.
2. Awan, N. K., H. Truhetz, and A. Gobiet, 2011: Parameterization- induced error characteristics of MM5 and WRF operated in climate mode over the alpine region: An ensemble-based analysis. J. Climate, 24, 3107-3123.
3. Berbery, E. H., E. M. Rasmusson, and K. E. Mitchell, 1996: Studies of North American continental-scale hydrology using Eta model forecast products. J. Geophys. Res., 101 (D3), 7305- 7319.
4. Bettadpur, S., 2007: CSR level-2 processing standards document for level-2 product release 0004, 17 pp. [Available online at http://isdc.gfz-potsdam.de/index.php?name5UpDownload&req5 getit&lid5405.]
5. Borge, R., V. Alexandrov, J. José del Vas, J. Lumbreras, and E. Rodríguez, 2008: A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian Peninsula. Atmos. Environ., 42, 8560-8574, doi:10.1016/j. atmosenv.2008.08.032.
6. Chen, J. L., C. R. Wilson, J. S. Famiglietti, and M. Rodell, 2007: Attenuation effect on seasonal basin-scale water storage changes from GRACE time-variable gravity. J. Geod., 81, 237-245, doi:10.1007/s00190-006-0104-2.
7. Duan, X. J., J. Y. Guo, C. K. Shum, and W. van der Wal, 2009: On the postprocessing removal of correlated errors in GRACE temporal gravity field solutions. J. Geod., 83, 1095-1106, doi:10.1007/s00190-009-0327-0.
8. Fersch, B., 2011: Large scale water balance estimation from downscaled atmospheric moisture budgets and evaluation with global climatological data sets and the GRACE space- borne gravimetry. Ph.D. dissertation, University of Augsburg, 117 pp.
9. Fersch, B., H. Kunstmann, N. Sneeuw, and B. Devaraju, 2009: Large- scale water balance estimations through regional atmospheric moisture flux modelling and comparison to GRACE signals. Proc. Symp. HS.2, Hyderabad, India, IAHS and IAH, 211- 219. [Available online at http://iahs.info/redbooks/333.htm.]
10. Flechtner, F., 2007: GFZ level-2 processing standards document for level-2 product release 0004. GRACE GFZ L-2 Proc Stan- dards Doc. RL 0004, 19 pp. [Available online at http://isdc.gfz- potsdam.de/index.php?name5UpDownload&req5getit&lid5 401.]
11. Flechtner, F., 2011: Release notes for GFZ RL04 GRACE L2 products. GFZ Potsdam Tech. Information, 8 pp.
12. 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, 3955-3978, doi:10.1080/ 01431161.2010.483488.
13. Güntner, A., R. Schmidt, and P. Döll, 2007: Supporting large-scale hydrogeological monitoring and modelling by time-variable gravity data. Hydrogeol. J., 15, 167-170, doi:10.1007/s10040- 006-0089-1.
14. Hagemann, S., K. Arpe, and L. Bengtsson, 2005: Validation of the hydrological cycle of ERA-40. European Centre for Medium Range Weather Forecasts ERA-40 Project Rep. Series 24, 42 pp.
15. Hirschi, M., P. Viterbo, and S. I. Seneviratne, 2006: Basin-scale water-balance estimates of terrestrial water storage variations from ECMWF operational forecast analysis. Geophys. Res. Lett., 33, L21401, doi:10.1029/2006GL027659.
16. Hirschi, M., S. I. Seneviratne, S. Hagemann, and C. Schär, 2007: Analysis of seasonal terrestrial water storage variations in regional climate simulations over Europe. J. Geophys. Res., 112, D22109, doi:10.1029/2006JD008338.
17. JanjiAdvP4C4E59.-1.C19c, Z. I., 2000: Comments on Development and evaluation of a convection scheme for use in climate models. J. Atmos. Sci., 57, 3686-3686.
18. Jones, P., and I. Harris, cited 2008: CRU datasets-CRU TS time- series. [Available online at http://badc.nerc.ac.uk/view/badc.nerc.ac.uk%5F%5FATOM%5F%5Fdataent%5F1256223773 328276.]
19. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170-181.
20. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Re- analysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
21. Klees, R., E. A. Zapreeva, H. C. Winsemius, and H. H. G. Savenije, 2007: The bias in GRACE estimates of continental water storage variations. Hydrol. Earth Syst. Sci., 11, 1227-1241. [Available online at http://www.hydrol-earth-syst-sci.net/11/1227/2007/.]
22. Labraga, J. C., O. Frumento, and M. Lopez, 2000: The atmospheric water vapor cycle in South America and the tropospheric circulation. J. Climate, 13, 1899-1915.
23. Landerer, F. W., J. O. Dickey, and A. Güntner, 2010: Terrestrial water budget of the Eurasian pan-Arctic from GRACE sat- ellite measurements during 2003-2009. J. Geophys. Res., 115, D23115, doi:10.1029/2010JD014584.
24. Matsuura, K., and C. J. Willmot, cited 2009: Terrestrial precipitation: 1900-2008 gridded monthly time series (version 2.01). [Available online at http://climate.geog.udel.edu/climate/htmlpages/archive.html.]
25. Mitchell, T. D., and P. D. Jones, 2005: An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol., 25, 693-712.
26. Peixoto, J. P., and A. H. Oort, 1992: Balance equations for water. Physics of Climate, T. von Foerster, M. Hennelly, and A. Prince, Eds., American Institute of Physics, 274-277.
27. Riegger, J., M. Tourian, B. Devaraju, and N. Sneeuw, 2012: Analysis of GRACE uncertainties by hydrological and hydro- meteorological observations. J. Geodyn., 59-60, 16-27, doi:10.1016/j.jog.2012.02.001.
28. Roads, J., M. Kanamitsu, and R. Stewart, 2002: CSE water and energy budgets in the NCEP-DOE Reanalysis II. J. Hydro- meteor., 3, 227-248.
29. Rodell, M., J. S. Famiglietti, J. Chen, S. I. Seneviratne, P. Viterbo, S. Holl, and C. R. Wilson, 2004a: Basin scale estimates of evapotranspiration using GRACE and other observations. Geophys. Res. Lett., 31, L20504, doi:10.1029/2004GL020873.
30. Rodell, M., et al, 2004b: The global land data assimilation system. Bull. Amer. Meteor. Soc., 85, 381-394.
31. Schmidt, R., and Coauthors, 2006: GRACE observations of changes in continental water storage. Global Planet. Change, 50 (1-2), 112-126, doi:10.1016/j.gloplacha.2004.11.018.
32. Schneider, U., T. Fuchs, A. Meyer-Christoffer, and B. Rudolf, cited 2008: Global precipitation analysis products. [Available online at ftp://ftp-anon.dwd.de/pub/data/gpcc/html/fulldata_v6_download. html.]
33. Seitz, F., M. Schmidt, and C. K. Shum, 2008: Signals of extreme weather conditions in Central Europe in GRACE 4-D hy- drological mass variations. Earth Planet. Sci. Lett., 268, 165- 170, doi:10.1016/j.epsl.2008.01.001.
34. Skamarock, W. C., and J. B. Klemp, 2008: A time-split non- hydrostatic atmospheric model for weather research and forecasting applications. J. Comput. Phys., 227, 3465-3485, doi:10.1016/j.jcp.2007.01.037.
35. Skamarock, W. C., and J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-4681STR, 113 pp.
36. Swenson, S., and J. Wahr, 2006a: Estimating large-scale precipi- tation minus evapotranspiration from GRACE satellite gravity measurements. J. Hydrometeor., 7, 252-270.
37. Swenson, S., and J. Wahr, 2006b: Post-processing removal of correlated errors in GRACE data. Geophys. Res. Lett., 33, L08492, doi:10.1029/ 2005GL025285.
38. Swenson, S., J. Wahr, and P. C. D. Milly, 2003: Estimated accuracies of re- gional water storage variations inferred from the Gravity Recovery and Climate Experiment (GRACE). Water Resour. Res., 39, 1223, doi:10.1029/2002WR001808.
39. Syed, T. H., J. S. Famiglietti, V. Zlotnicki, and M. Rodell, 2007: Contemporary estimates of Pan-Arctic freshwater discharge from GRACE and reanalysis. Geophys. Res. Lett., 34, L19404, doi:10.1029/2007GL031254.
40. Syed, T. H., J. S. Famiglietti, and D. P. Chambers, 2009: GRACE-based estimates of terrestrial freshwater discharge from basin to continental scales. J. Hydrometeor., 10, 22-40.
41. Tapley, B. D., S. Bettadpur, M. Watkins, and C. Reigber, 2004: The gravity recovery and climate experiment: Mission overview and early results. Geophys. Res. Lett., 31, L09607, doi:10.1029/ 2004GL019920.
42. Taylor, K. E., 2001: Summarizing multiple aspects of model perfor- mance in a single diagram. J. Geophys. Res., 106 (D7), 7183-7192.
43. Trenberth, K. E., and C. J. Guillemot, 1998: Evaluation of the at- mospheric moisture and hydrological cycle in the NCEP/ NCAR reanalyses. Climate Dyn., 14, 213-231, doi:10.1007/ s003820050219.
44. Trenberth, K. E., L. Smith, T. Qian, A. Dai, and J. Fasullo, 2007: Estimates of the global water budget and its annual cycle using observa- tional and model data. J. Hydrometeor., 8, 758-769.
45. Uppala, S., D. Dee, S. Kobayashi, P. Berrisford, and A. Simmons, 2008: Towards a climate data assimilation system: Status update of ERA-Interim. ECMWF Newsletter, No. 115, ECMWF, Reading, United Kingdom, 12-18.
46. Vivoni, E. R., K. Tai, and D. J. Gochis, 2009: Effects of initial soil moisture on rainfall generation and subsequent hydrologic response during the North American monsoon. J. Hydrometeor, 10, 644-664.
47. Wahr, J., M. Molenaar, and F. Bryan, 1998: Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE. J. Geophys. Res., 103 (B12), 30 205-30 229.
48. Wahr, J., S. Swenson, and I. Velicogna, 2006: Accuracy of GRACE mass estimates. Geophys. Res. Lett., 33, L06401, doi:10.1029/ 2005GL025305.
49. Wang, W., and N. L. Seaman, 1997: A comparison study of con- vective parameterization schemes in a mesoscale model. Mon. Wea. Rev., 125, 252-278.
50. Wang, W., et al, 2009: WRF ARW version 3 modeling system user's guide, April 2009. National Center for Atmospheric Research, 310 pp.
51. Watkins, M. M., and D.-N. Yuan, 2007: JPL level-2 processing standards document for level-2 product release 04. GRACE JPL L-2 Proc Standards Doc. RL 04, 16 pp. [Available online at http://isdc.gfz-potsdam.de/index.php?name5UpDownload&req5 getit&lid5400.]
52. Werth, D., and R. Avissar, 2004: The regional evapotranspiration of the Amazon. J. Hydrometeor., 5, 100-109.
53. Werth, S., and A. Güntner, 2010: Calibration analysis for water storage variability of the global hydrological model WGHM. Hydrol. Earth Syst. Sci., 14, 59-78, doi:10.5194/hess-14-59-2010.
54. Winsemius, H. C., H. H. G. Savenije, N. C. van de Giesen, B. J. J. M. van den Hurk, E. A. Zapreeva, and R. Klees, 2006: Assessment of Gravity Recovery and Climate Experiment (GRACE) temporal signature over the upper Zambezi. Water Resour. Res., 42, W12201, doi:10.1029/2006WR005192.
55. Yeh, P. J.-F., and J. S. Famiglietti, 2008: Regional terrestrial water storage change and evapotranspiration from terrestrial and atmospheric water balance computations. J. Geophys. Res., 113, D09108, doi:10.1029/2007JD009045.