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The Palmer Drought Severity Index (PDSI) is a measure of
drought derived from both precipitation and temperature.
Negative (i.e., dry) values of PDSI are closely associated
with a high potential for wildland fire.
PDSI is based on a supply-and-demand model of soil
moisture originally developed by Wayne Palmer, who published his method in the 1965 paper
Meteorological Drought for the Office of Climatology of the U.S. Weather
Bureau.The index has proven to
be most effective in indicating long-term drought (or wetness) over a matter of
several months.
PDSI calculations are standardized for an individual station
(or grid cell) based on the long-term variability of precipitation and
temperature at that location. PDSI values can thus be compared across
regions with different climates.
This dataset shows PDSI (in classes ranging
from extremely wet to extremely dry) for the three-month forecast period
identified in the dataset title.
PDSI was calculated from the long-term
precipitation and temperature record up to the last observed month and from
forecasted values provided by the weather model indicated in the dataset title.
Future climate forecasts are available through cooperation with the
International Research Institute for Climate Prediction (IRI) of Columbia University
which provides monthly updates of 7-month future climate forecasts from
five different general circulation models (GCMs) of the global
atmosphere. GCM results come from the University of Maryland
(COLA), the University of Hamburg (ECHAM4.5), the National Weather
Service’s Climate Prediction Center (NCEP), NASA’s Goddard Institute of
Space Studies (NSIPP), and the Scripps Oceanographic Institute (ECPC).
Data Provided By:
United States Forest Service, MAPSS team--Raymond Drapek
Layers in this dataset are based on combinations of the following options.
You may choose from these options to select a specific layer on the map page.