Palmer Drought Severity Index (PDSI)
Dai, A., K. E. Trenberth, and T. Qian, 2004: A global data set of Palmer Drought Severity Index for 1870-2002: Relationship with soil moisture and effects of surface warming. J. Hydrometeorology, 5, 1117-1130.
Dai, A., 2011a: Characteristics and trends in various forms of the Palmer Drought Severity Index (PDSI) during 1900-2008. J. Geophys. Res., 116, D12115, doi:10.1029/2010JD015541.
Dai, A., 2011b: Drought under global warming: A review. Wiley Interdisciplinary Reviews: Climate Change, 2, 45-65. DOI: 10.1002/wcc.81.
Dai, A., 2013: Increasing drought under global warming in observations and models. . Nature Climate Change, 3, 52-58. DOI: 10.1038/nclimate1633.
DATA DESCRIPTION: These data consist of the monthly PDSI over global land areas computed using osberved or model monthly surface air temperature (from Jones and Moberg 2003 and updates) and precipitation (see above papers), plus other surface forcing data for the sc_PDSI_pm case.
PLEASE NOTE: For our own record, we would appreciate it very much if you could email Dr. A. Dai a few lines after you download the data set to indicate your intended use of the data set. Thank you!
PDSI Data from Dai et al. (2004 &updates):
The PDSI data (binary file, text file, netCDF file) and the associated README file may be obtained by clicking on the links. To validate the data, compare the PDSI maps for January 1950 and 2002. To view the full size image, please see: PDSI EOF.
PDSI data from Dai (2011a, 2011b) (updated to 2012, same file formats as above, check README before asking questions):
Self-calibrated PDSI with Penman-Monteith PE (sc_PDSI_pm, recommended over the original PDSI) based on historical data (1850-2010 data binary file, 1850-2010 data netCDF file, 1850-2010 text file; 1850-2012 data binary file, 1850-2012 scPDSIpm data netCDF file, 1850-2012 text file, 1850-2012 scPHDIpm data netCDF file). See Dai (2011a) for caveats in the forcing data. A small faction (<0.08%) of the data pints are outside the (-25, 25) range, We suggest to skip these data points in regional averaging and other analyses.
Temporal (left, black) and spatial (right) patterns of the two leading EOFs of the monthly PDSI (normalized by its standard deviation prior to the EOF analysis). Red (blue) areas are dry (wet) for a positive temporal coefficient. Also shown in the left-lower panel (red) is the Darwin mean sea level pressure shifted to the right by six months to obtain the maximum correlation (r=0.62). Variations on < 2 year time scales were filtered out in the left panels. The percentage variance explained is shown on the top of the left panels. (From Dai et al. 2004)
- Chen, M., P. Xie, J.E. Janowiak, and P.A. Arkin, 2002: Global land precipitation: a 50-yr monthly analysis based on gauge observations. J. Hydrometeorol., 3, 249-266.
- Dai, A., I. Fung, and A. D. Del Genio, 1997: Surface observed global land precipitation variations during 1900-1988. J. Climate, 10, 2943-2962. [pdf]
- Dai, A., K. E. Trenberth, and T. Karl, 1998: Global variations in droughts and wet spells: 1900-1995. Geophys. Res. Lett., 25, 3367-3370. [pdf]
- Dai, A., K. E. Trenberth, and T. Qian, 2004: A global data set of Palmer Drought Severity Index for 1870-2002: Relationship with soil moisture and effects of surface warming. J. Hydrometeorol., 5, 1117-1130. [pdf]
- Jones, P.D., and A. Moberg, 2003: Hemispheric and large-scale surface air temperature variations: An extensive revision and an update to 2001. J. Climate, 16, 206-223.
- Palmer, W. C, 1965: Meteorological Drought. Res. Paper No.45, 58pp., Dept. of Commerce, Washington, D.C.
- Webb, R. S., C. E. Rosenzweig, and E. R. Levine, 1993: Specifying land surface characteristics in general circulation models: soil profile dataset and derived water-holding capacities. Global Biogeochem. Cycles, 7, 97-108.
Old PDSI webpage.