Hydrologic benchmarking of meteorological drought indices at interannual to climate change timescales: A case study over the Amazon and Mississippi river basins

Hydrology and Earth System Sciences

Volumn 17, Issue 12, 2013, Pages 4885-4895

  Joetzjer, E ^a   Douville, H ^a   Delire, C ^a   Ciais, P ^b   Decharme, B ^a   Tyteca, S ^a  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

^b LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC ANOMALY; HYDROLOGIC CONDITIONS; HYDROLOGICAL DROUGHTS; METEOROLOGICAL DROUGHT; METEOROLOGICAL VARIABLES; MISSISSIPPI RIVER BASIN; TEMPERATURE VARIATION; WATER BALANCE MODELS;

ATMOSPHERIC RADIATION; CLIMATE MODELS; COMPUTER SIMULATION; EQUIPMENT TESTING; GLOBAL WARMING; RUNOFF; WATERSHEDS;

DROUGHT;

ATMOSPHERIC DYNAMICS; BENCHMARKING; CLIMATE CHANGE; DROUGHT; ENSEMBLE FORECASTING; HYDROLOGICAL CYCLE; HYDROLOGICAL REGIME; INDEX METHOD; RADIATIVE FORCING; RIVER DISCHARGE; RUNOFF; TIMESCALE; TWENTIETH CENTURY; TWENTY FIRST CENTURY; WATER BUDGET;

AMAZON BASIN; MISSISSIPPI BASIN; UNITED STATES;

EID: 84890063131     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-17-4885-2013     Document Type: Article

References (38)

1. Alkama, R., Decharme, B., Douville, H., and Ribes, A.: Trends in global and basin-scale runoff over the late 20th century: Methodological issues and sources of uncertainty, J. Climate, 24, 2983-2999, doi:10.1175/2010JCLI3921.1, 2011.
2. Anderson, M. C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J. R., and Kustas, W.: Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States, J. Climate, 24, 2025-2044, 2011.
3. Betts, R. A., Boucher, O., Collins, M., Cox, P. M., Falloon, P., Gedney, N., Hemming, D. L., Huntingford, C., Jones, C. D., Sexton, D., andWebb, M.: Projected increase in continental runoff due to plant responses to increasing carbon dioxide, Nature, 448, 1037-1041, doi:10.1038/nature06045, 2007. (Pubitemid 47345580)
4. Burke, E. J.: Understanding the Sensitivity of Different Drought Metrics to the Drivers of Drought under Increased Atmospheric CO2, J. Hydrometeorol., 12, 1318-1393, 2011.
5. Burke, E. J. and Brown, S. J.: Evaluating uncertainties in the projection of future drought, J. Hydrometeorol., 9, 292-299, 2008.
6. Dai, A., Trenberth, K. E., and Qian, T.: A global dataset of Palmer Drought severity index for 1870-2002: Relationship with soil moisture and effects of surface warming, J. Hydrometeorol., 5, 1117-1130, doi:10.1175/JHM-386.1, 2004. (Pubitemid 40112597)
7. Dai, A.: Drought under global warming: A review, Climatic Change, 2, 45-65, 2011a.
8. Dai, A.: Characteristics and trends in various forms of the Palmer Drought Severity Index during 1900-2008, J. Geophys. Res., 116, D12115, doi:10.1029/2010JD015541, 2011b.
9. Decharme, B. and Douville, H.: Global validation of the ISBA Sub-Grid Hydrology, Clim. Dynam., 29, 21-37, doi:10.1007/s00382-006-0216-7, 2007. (Pubitemid 46746419)
10. Guttman, N. B.: Comparing the Palmer Drought Index and the Standardized Precipitation Index, J. Am. Water Resour. Assoc., 34, 113-121, 1998. (Pubitemid 28190083)
11. Hargreaves, G. H. and Samani, Z. A.: Estimating potential evapotranspiration, J. Irrig. Drain. Eng. ASCE, 188, 223-230, 1982.
12. Heim Jr., R. R.: A review of twentieth-century drought indices used in the United States, B. Am. Meteorol. Soc., 83, 1149-1165, 2002. (Pubitemid 35184165)
13. Jarvis, P. G.: The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field, Philos. T. Roy. Soc. Lond. B, 273, 593-610, doi:10.1098/rstb.1976.0035, 1976
14. Joetzjer, E., Douville, H., Delire, C., and Ciais, P.: Present-day and future Amazonian precipitation in global climate models: CMIP5 versus CMIP3, Clim. Dynam., 41, 2921-2936, doi:10.1007/s00382-012-1644-1, 2013.
15. Kingston, D. G., Tood, M. G., Taylor, R. G., Thompson, J. R., and Arnell, N. W.: Uncertainty in the estimation of potential evapotranspiration under climate change, Geophys. Res. Lett., 36, 3-8, doi:10.1029/2009GL040267, 2009.
16. McKee, T. B., Doesken, N. J., and Kleist, J.: Drought monitoring with multiple time scales, Proceedings of the 9th Conference on Applied Climatology, AMS, Boston, MA, 233-236, 1995.
17. Mitchell, T. D. and Jones, P. D.: An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25, 693-712, doi:10.1002/joc.1181, 2005. (Pubitemid 40815726)
18. Orlowsky, B. and Seneviratne, S. I.: Global changes in extreme events: Regional and seasonal dimension, Climatic Change, 110, 669-696, doi:10.1007/s10584-011-0122-9, 2012.
19. Orlowsky, B. and Seneviratne, S. I.: Elusive drought: uncertainty in observed trends and short-and long-term CMIP5 projections, Hydrol. Earth Syst. Sci., 17, 1765-1781, doi:10.5194/hess-17-1765-2013, 2013.
20. Palmer, W. C.: Meteorological drought. Research Paper No. 45, US Dept. of Commerce, available at: http://www.ncdc.noaa.gov/oa/climate/research/drought/ palmer.pdf (last access: 6 Decenber 2013), 1965.
21. Ribes, A., Azais, J. M., and Planton, S.: A method for regional climate change detection using smooth temporal patterns, Clim. Dynam., 35, 391-306, 2010.
22. Rudolf, B., Becker, A., Schneider, U., Meyer-Christoffer, A., and Ziese, M.: New GPCC full data reanalysis version 5 provides high-quality gridded monthly precipitation data, GEWEX News, 21, 4-5, 2011.
23. Seneviratne, S. I., Nicholls, N., Easterling, D., Goodess, C. M., Kanae, S., Kossin, J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Reichstein, M., Sorteberg, A., Vera, C., and Zhang, X.: Changes in climate extremes and their impacts on the natural physical environment, in: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, edited by: Field, C. B., Barros, V., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G.-K., Allen, S. K., Tignor, M., and Midgley, P. M.: A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC), Cambridge University Press, Cambridge, UK, and New York, NY, USA, 109-230, 2012.
24. Sheffield, J. and Wood, E. F.: Characteristics of global and regional drought, 1950-2000: Analysis of soil moisture data from off-line simulation of the terrestrial hydrologic cycle, J. Geophys. Res., 112, D17115, doi:10.1029/2006JD008288, 2007. (Pubitemid 350042311)
25. Sheffield, J. and Wood, E. F.: Projected changes in drought occurrence under future global warming from multi-model, multiscenario, IPCC AR4 simulations, Clim. Dynam., 31, 79-105, 2008.
26. Sheffield, J., Wood, E. F., and Roderick, M. L.: Little change in global drought over the past 60 years, Nature, 491, 435-438, 2012.
27. Shukla, S. and Wood, A. W.: Use of a standardized runoff index for characterizing hydrologic drought, Geophys. Res. Lett., 35, L02405, doi:10.1029/2007GL032487, 2008. (Pubitemid 351392147)
28. Taylor, I. H., Burke, E., McColl, L., Falloon, P. D., Harris, G. R., and McNeall, D.: The impact of climate mitigation on projections of future drought, Hydrol. Earth Syst. Sci., 17, 2339-2358, doi:10.5194/hess-17-2339-2013, 2013.
29. Thornthwaite, C. W.: An approach toward a rational classification of climate, Geogr. Rev., 38, 55-94, 1948.
30. Trenberth, K. E.: Changes in precipitation with climate change, Climate Res., 47, 123-138, 2011.
31. Van der Schrier, G., Jones, P. D., and Briffa, K. R.: The sensitivity of the PDSI to the Thornthwaite and Penman-Monteith parameterizations for potential evapotranspiration, J. Geophys. Res., 116, D03106, doi:10.1029/2010JD015001, 2011.
32. Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index, J. Climate, 23, 1696-1718, 2009.
33. Vicente-Serrano, S. M., Begueria S., Lopez-Moreno J. I., and Angulo, M.: A New Global 0.5. Gridded Dataset (1901-2006) of a Multiscalar Drought Index: Comparison with Current Drought Index Datasets Based on the Palmer Drought Severity Index, J. Hydrometeorol., 11, 1033-1043, 2010.
34. Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: Comment on "Characteristics and trends in various forms of the Palmer Drought Severity Index (PDSI) during 1900-2008" by Aiguo Dai, J. Geophys. Res., 116, 1-9, 2011.
35. Voldoire, A., Sanchez-Gomez, E., Salas y Mélia, D., Decharme, B., Cassou, C., Sénési, S., Valcke, S., Beau, I., Alias, A., Chevallier, M., Déqué, M., Deshayes, J., Douville, H., Fernandez, E., Madec, G., Maisonnave, E., Moine, M.-P., Planton, S., Saint-Martin, D., Szopa, S., Tyteca, S., Alkama, R., Belamari, S., Braun, A., Coquart, L., and Chauvin, F.: The CNRM-CM5.1 global climate model: description and basic evaluation, Clim. Dynam., 40, 2091-2121, 2013.
36. Wahba, G.: Spline models for observational data, Society for Industrial and Applied Mathematics (SIAM), CBMSNSF Regional Conference Series in Applied Mathematics, doi:10.1137/1.9781611970128, 1990.
37. Wells, N., Goddard, S., and Hayes, M.: A self-calibrating Palmer Drought Severity Index, J. Climate, 17, 2335-2351, 2004. (Pubitemid 38964491)
38. Wilks, S.: Statistical Methods in the atmospheric sciences second edition, International Geophysics Series, Academic Press, 624 pp., 2004.