A comparison of GLDAS soil moisture anomalies against standardized precipitation index and multisatellite estimations over South America

Journal of Hydrometeorology

Volumn 16, Issue 1, 2015, Pages 158-171

  Spennemann, Pablo C ^a   Rivera, Juan A ^b   Celeste Saulo, A ^a,c,d   Penalba, Olga C ^a,c  

^a Centro de Investigaciones del Mar y la Atmósfera Consejo Nacional de Investigaciones Científicas y Técnicas Universidad de Buenos Aires UMI Instituto Franco Argentino sobre Estudios de Clima y sus Impactos/CNRS ^*  (Argentina)

^b INSTITUTO ARGENTINO DE NIVOLOGÍA   (Argentina)

^c UNIVERSIDAD DE BUENOS AIRES   (Argentina)

^d Ministerio de Defensa Republica Argentina   (Argentina)

Author keywords

Hydrometeorology; Land surface model; Soil moisture; South America

Indexed keywords

DATA ASSIMILATION; HYDROMETEOROLOGY; LAND SURFACE; PRECIPITATION ASSESSMENT; SOIL MOISTURE;

LA PLATA BASIN;

EID: 84922942113     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-13-0190.1     Document Type: Article

References (48)

1. Adler, R. F., and Coauthors, 2003: The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeor., 4, 1147-1167, doi:10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.
2. Albergel, C., and Coauthors, 2013: Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing. J. Hydrometeor., 14, 1259-1277, doi:10.1175/JHM-D-12-0161.1.
3. Andrade, F. H., and V. O. Sadras, Eds., 2000: Bases para el Manejo del Maíz, el Girasol y la Soja. INTA, 450 pp.
4. Balsamo, G., and Coauthors, 2012: ERA-Interim/Land: A global land surface reanalysis based on ERA-Interim meteorological forcing. ERA Rep. 13, 25 pp. [Available online at http://old.ecmwf.int/publications/library/ecpublications/_pdf/era/era_report_series/RS_13.pdf.]
5. Betts, A. K., 2009: Land-surface-atmosphere coupling in observations and models. J. Adv. Model. Earth Syst., 1, doi:10.3894/JAMES.2009.1.4.
6. Bonan, G. B., K. W. Oleson, M. Vertenstein, S. Levis, X. Zeng, Y. Dai, R. E. Dickinson, and Z.-L. Yang, 2002: The land surface climatology of the Community Land Model coupled to the NCAR Community Climate Model. J. Climate, 15, 3123-3149, doi:10.1175/1520-0442(2002)015<3123:TLSCOT>2.0.CO;2.
7. Chen, F., and Coauthors, 1996: Modeling of land-surface evaporation by four schemes and comparison with FIFE observations. J. Geophys. Res., 101, 7251-7268, doi:10.1029/95JD02165.
8. Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, doi:10.1002/qj.828.
9. Dirmeyer, P. A., and L. Tan, 2001: A multi-decadal global landsurface data set of state variables and fluxes. COLA Tech. Rep. 102, 43 pp. [Available online at www.iges.org/pubs/ctr_102.pdf.]
10. Dirmeyer, P. A., X. Gao, M. Zhao, Z. Guo, T. Oki, and N. Hanasaki, 2006: GSWP-2: Multimodel analysis and implications for our perception of the land surface. Bull. Amer. Meteor. Soc., 87, 1381-1397, doi:10.1175/BAMS-87-10-1381.
11. Dorigo, W. A., and Coauthors, 2011: The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements. Hydrol. Earth Syst. Sci., 15, 1675-1698, doi:10.5194/hess-15-1675-2011.
12. Dorigo, W. A., R. de Jeu, D. Chung, R. Parinussa, Y. Liu, W. Wagner, and D. Fernández-Prieto, 2012: Evaluating global trends (1988-2010) in harmonized multi-satellite soil moisture data. Geophys. Res. Lett., 39, L18405, doi:10.1029/2012GL052988.
13. Hayes, M., M. Svoboda, N. Wall, and M. Widhalm, 2011: The Lincoln Declaration on Drought Indices: Universal meteorological drought index recommended. Bull. Amer. Meteor. Soc., 92, 485-488, doi:10.1175/2010BAMS3103.1.
14. Houborg, R., M. Rodell, B. Li, R. Reichle, and B. Zaitchik, 2012: Drought indicators based on model assimilated GRACE terrestrial water storage observations. Water Resour. Res., 48, W07525, doi:10.1029/2011WR011291.
15. Huang, J., H. M. Van den Dool, and K. P. Georgakakos, 1996: Analysis of model-calculated soil moisture over the United States (1931-1993) and applications to long-range temperature forecasts. J. Climate, 9, 1350-1362, doi:10.1175/1520-0442(1996)009<1350:AOMCSM>2.0.CO;2.
16. Ji, L., and A. J. Peters, 2003: Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sens. Environ., 87, 85-98, doi:10.1016/S0034-4257(03)00174-3.
17. Kanamitsu, M., C.-H. Cheng-Hsuan, J. Schemm, and W. Ebisuzaki, 2003: The predictability of soil moisture and near-surface temperature in hindcasts of the NCEP seasonal forecast model. J. Climate, 16, 510-521, doi:10.1175/1520-0442(2003)016<0510: TPOSMA>2.0.CO;2.
18. Kato, H., M. Rodell, F. Beyrich, H. Cleugh, E. van Gorsel, H. Liu, and T. P. Meyers, 2007: Sensitivity of land surface simulations to model physics, parameters, and forcings, at four CEOP sites. J. Meteor. Soc. Japan, 85A, 187-204, doi:10.2151/jmsj.85A.187.
19. Koster, R. D., and M. J. Suarez, 1996: Energy and water balance calculations in the Mosaic LSM. NASA Tech. Memo. 104606, Vol. 9, 60 pp. [Available online at http://gmao.gsfc.nasa.gov/pubs/docs/Koster130.pdf.]
20. Krepper, C. M., and G. V. Zucarelli, 2010: Climatology of water excess and shortages in the La Plata basin. Theor. Appl. Climatol., 102, 13-27, doi:10.1007/s00704-009-0234-6.
21. Li, H., A. Robock, S. Liu, X. Mo, and P. Viterbo, 2005: Evaluation of reanalysis soil moisture simulations using updated Chinese soil moisture observations. J. Hydrometeor., 6, 180-193, doi:10.1175/JHM416.1.
22. Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges, 1994: A simple hydrologically based model of land surface water and energy fluxes for GSMs. J. Geophys. Res., 99, 14415-14428, doi:10.1029/94JD00483.
23. Liang, X., D. P. Lettenmaier, and E. F. Wood, 1996: One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer Variable Infiltration Capacity model. J. Geophys. Res., 101, 21403-21422, doi:10.1029/96JD01448.
24. Liu, Y. Y., W. A. Dorigo, R. M. Parinussa, R. A. M. de Jeu, W. Wagner, M. F. McCabe, J. P. Evans, and A. I. J. M. van Dijk, 2012: Trend-preserving blending of passive and active microwave soil moisture retrievals. Remote Sens. Environ., 123, 280-297, doi:10.1016/j.rse.2012.03.014.
25. Lloyd-Hughes, B., and M. A. Saunders, 2002: A drought climatology for Europe. Int. J. Climatol., 22, 1571-1592, doi:10.1002/joc.846.
26. McKee, T. B., N. J. Doesken, and J. Kleist, 1993: The relationship of drought frequency and duration to time scales. Preprints, 8th Conf. on Applied Climatology, Anaheim, CA, Amer. Meteor. Soc., 179-184.
27. Mo, K. C., 2008: Model-based drought indices over the United States. J. Hydrometeor., 9, 1212-1230, doi:10.1175/2008JHM1002.1.
28. Mueller, B., and S. I. Seneviratne, 2012: Hot days induced by precipitation deficits at the global scale. Proc. Natl. Acad. Sci. USA, 109, 12398-12403, doi:10.1073/pnas.1204330109.
29. Penalba, O. C., and J. A. Rivera, 2013: Future changes in drought characteristics over southern South America projected by a CMIP5 ensemble. Amer. J. Climate Change, 2, 173-182, doi:10.4236/ajcc.2013.23017.
30. Penalba, O. C., J. A. Rivera, and V. C. Pántano, 2014: The CLARIS LPB database: Constructing a long-term daily hydro-meteorological dataset for La Plata basin, southern South America. Geosci. Data J., 1, 20-29, doi:10.1002/gdj3.7.
31. Pozzi, W., and Coauthors, 2013: Toward global drought early warning capability: Expanding international cooperation for the development of a framework for monitoring and forecasting. Bull. Amer. Meteor. Soc., 94, 776-785, doi:10.1175/BAMS-D-11-00176.1.
32. Quan, X.-W., M. P. Hoerling, B. Lyon, A. Kumar, M. A. Bell, M. K. Tippett, and H. Wang, 2012: Prospects for dynamical prediction of meteorological drought. J. Appl. Meteor. Climatol., 51, 1238-1252, doi:10.1175/JAMC-D-11-0194.1.
33. Robock, A., K. Y. Vinnikov, G. Srinivasan, J. K. Entin, S. E. Hollinger, N. A. Speranskaya, S. Liu, and A. Namkhai, 2000: The Global Soil Moisture Data Bank. Bull. Amer. Meteor. Soc., 81, 1281-1299, doi:10.1175/1520-0477(2000)081<1281: TGSMDB>2.3.CO;2.
34. Robock, A., M. Mu, K. Vinnikov, I. V. Trofimova, and T. I. Adamenko, 2005: Forty-five years of observed soil moisture in the Ukraine: No summer desiccation (yet). Geophys. Res. Lett., 32, L03401, doi:10.1029/2004GL021914.
35. Rodell, M., and Coauthors, 2004: The Global Land Data Assimilation System. Bull. Amer. Meteor. Soc., 85, 381-394, doi:10.1175/BAMS-85-3-381.
36. Rui, H., and H. Beaudoing, 2014: README document for the Global Land Data Assimilation System version 2 (GLDAS-2) products. NASA Goddard Earth Sciences Data and Information Services Center Rep., 22 pp. [Available online at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/GLDAS/README.GLDAS2.pdf.]
37. Schneider, U., A. Becker, P. Finger, A. Meyer-Christoffer, B. Rudolf, and M. Ziese, 2011: GPCC Full Data Reanalysis version 6.0 at 1.0°: Monthly land-surface precipitation from rain-gauges built on GTS-based and historic data. GPCC, Offenbach, Germany, doi:10.5676/DWD_GPCC/FD_M_V6_100.
38. Seiler, R. A., M. Hayes, and L. Bressan, 2002: Using the standardized precipitation index for flood risk monitoring. Int. J. Climatol., 22, 1365-1376, doi:10.1002/joc.799.
39. Seneviratne, S. I., T. Corti, E. L. Davin, M. Hirschi, E. B. Jaeger, I. Lehner, B. Orlowsky, and A. 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.
40. Sheffield, J., and E. F. Wood, 2008: Global trends and variability in soil moisture and drought characteristics, 1950-2000, from observation-driven simulations of the terrestrial hydrologic cycle. J. Climate, 21, 432-458, doi:10.1175/2007JCLI1822.1.
41. Sheffield, J., G. Goteti, and E. F. Wood, 2006: Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling. J. Climate, 19, 3088-3111, doi:10.1175/JCLI3790.1.
42. Sims, A. P., D. S. Niyogi, and S. Raman, 2002: Adopting drought indices for estimating soil moisture: A North Carolina case study. Geophys. Res. Lett., 29, 1183, doi:10.1029/2001GL013343.
43. Szalai, S., C. Szinell, and J. Zoboki, 2000: Drought monitoring in Hungary. Early warning systems for drought preparedness and drought management, WMO/TD 1037, 182-199.
44. Tucker, C., and P. Sellers, 1986: Satellite remote sensing of primary production. Int. J. Remote Sens., 7, 1395-1416, doi:10.1080/01431168608948944.
45. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, and M. Ertl, 2012: Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. I-7, ISPRS, 315-321.
46. WMO, 2012: Standardized precipitation index user guide. WMO 1090, 24 pp. [Available online at www.wamis.org/agm/pubs/SPI/WMO_1090_EN.pdf.]
47. Xia, Y., J. Sheffield, M. B. Ek, J. Dong, N. Chaney, H. Wei, J. Meng, and E. F. Wood, 2014: Evaluation of multi-model simulated soil moisture in NLDAS-2. J. Hydrol., 512, 107-125, doi:10.1016/j.jhydrol.2014.02.027.
48. Zaitchik, B., M. Rodell, and F. Olivera, 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, doi:10.1029/2009WR007811.