[Service_Parameters: Service_Topic='DATA ANALYSIS AND VISUALIZATION', Service_Term='STATISTICAL APPLICATIONS']
GlobalRainSIM - Tool to Estimate Daily Rainfall Based Upon Two DatabasesEntry ID: USDA_ARS_Global_RainSIM
Abstract: The purpose of the GlobalRainSIM tool 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.
GlobalRainSIM 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 1961-1990 and cross-validated by New et al. (1999). These two datasets were then used to establish the monthly precipitation totals and the frequency of precipitation in a month. The average precipitation event was calculated as the monthly mean divided by the number of wet days. This mean value was then randomly assigned to a day of the month looping through the number of wet days. In other words, if the average monthly rainfall was 10 mm/month with 5 average wet days, each rain event was 2 mm. This amount (2 mm) was then randomly assigned to 5 days of that month. The advantage of this tool is that a typical pattern of precipitation can be simulated for any global location arriving at an “average year” as a baseline case for comparison. This tool also outputs the daily rainfall as a file or can be easily embedded within another program.
[Summary provided by the USDA.]
ISO Topic Category
Access Constraints User registration is required before downloading the tool/model.
Role: TECHNICAL CONTACT
USDA-ARS Grassland Soil and Water Research Laboratory 808 E. Blackland Rd.
Province or State: TX
Postal Code: 76502
Role: SERF AUTHOR
Email: Tyler.B.Stevens at nasa.gov
5700 Rivertech Court
Province or State: MD
Postal Code: 20737
Extended Metadata Properties
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Creation and Review Dates