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Global Rainfall Predictor
Entry ID: USDA_ARS_RainSIM


Summary
Abstract: The Global Rainfall Predictor (Global RainSIM) forecasts the daily rainfall based upon two databases.The first was the average number of days in a month with precipitation (wet days) that were compiled and interpolated by Legates and Willmott (1990a and 1990b) with further improvements by Willmott and Matsuura (1995). The second database was the global average monthly precipitation data collected ... View entire text

Purpose: The purpose of the Global Rainfall Predictor (Global RainSIM) is to estimate daily precipitation patterns for a yearly cycle at any location on the globe. The user input is simply the latitude and longitude of the selected location. There is an embedded Zip Code search routine to find the latitude and longitude for US cities.
Related URL
Link: DOWNLOAD SOFTWARE
Description: Download the Global Rainfall Predictor (registration required).
Service Citation
Edition: 1.0
Service Keywords
ENVIRONMENTAL ADVISORIES >WEATHER/CLIMATE ADVISORIES >WEATHER FORECAST Parameter Definition

Science Keywords
ATMOSPHERE >PRECIPITATION >PRECIPITATION AMOUNT Parameter Definition
ATMOSPHERE >PRECIPITATION >LIQUID PRECIPITATION >RAIN Parameter Definition
ISO Topic Category
Access Constraints User registration is required before downloading.
Ancillary Keywords
Service Provider
USDA/ARS > Agricultural Research Service, U. S. Department of Agriculture Supplemental Info
Service Organization URL: http://www.ars.usda.gov

Service Provider Personnel
Name: USDA-ARS
Phone: 254-770-6500
Fax: 254-770-6561
Contact Address:
USDA-ARS
Grassland Soil and Water Research Laboratory
808 E. Blackland Rd.
City: Temple
Province or State: TX
Postal Code: 76502
Country: USA
Personnel
USDA-ARS
Role: TECHNICAL CONTACT
Phone: 254-770-6500
Fax: 254-770-6561
Contact Address:
USDA-ARS
Grassland Soil and Water Research Laboratory
808 E. Blackland Rd.
City: Temple
Province or State: TX
Postal Code: 76502
Country: USA
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Publications/References
Legates, D. R. and C. J. Willmott (1990a) Mean Seasonal and Spatial Variability Global Surface Air Temperature. Theoretical and Applied Climatology , 41, 11-21.

Legates, D. R. and C. J. Willmott(1990b) Mean Seasonal and Spatial Variability in Gauge-Corrected, Global Precipitation. International Journal of Climatology, 10, 111-127.

New, M., Hulme, M. and Jones, P.D.(1999) Representing twentieth century space-time climate variability. Part 1: development of a 1961-90 mean monthly terrestrial climatology. Journal of Climate 12, 829-856.

Willmott, C. J. and K. Matsuura (1995) Smart Interpolation of Annually Averaged Air Temperature in the United States. Journal of Applied Meteorology, 34, 2577-2586.
Extended Metadata Properties
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Creation and Review Dates
SERF Creation Date: 2012-05-09
SERF Last Revision Date: 2018-09-10
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