A GRIDDED GLOBAL DATA SET OF DAILY TEMPERATURE AND PRECIPITATION FOR TERRESTRIAL BIOSPHERIC MODELING

Citation
Sc. Piper et Ef. Stewart, A GRIDDED GLOBAL DATA SET OF DAILY TEMPERATURE AND PRECIPITATION FOR TERRESTRIAL BIOSPHERIC MODELING, Global biogeochemical cycles, 10(4), 1996, pp. 757-782
Citations number
70
Categorie Soggetti
Metereology & Atmospheric Sciences","Geosciences, Interdisciplinary","Environmental Sciences
ISSN journal
08866236
Volume
10
Issue
4
Year of publication
1996
Pages
757 - 782
Database
ISI
SICI code
0886-6236(1996)10:4<757:AGGDSO>2.0.ZU;2-9
Abstract
The first global terrestrial gridded data set of the daily average and range of temperature and daily precipitation has been developed, inte nded for use in terrestrial biospheric modeling. Data for the year 198 7 are shown to illustrate our methodology. Daily station data, primari ly from the World Meteorological Organization global synoptic surface network of stations, have been extensively quality checked and interpo lated to a 1x1 degree grid by using a nearest neighbors interpolation scheme. Annual averages of the daily average temperatures have been co mpared with 1987 temperatures constructed from data supplied by P.D. J ones (personal communication, 1996). Agreement between these two data sets is good, except in some areas of the southern hemisphere where st ation coverage is poor. Monthly and annual totals of the daily precipi tation data have been compared with the monthly 1987 data set produced by the Global Precipitation Climatology Centre. Agreement between the two data sets is good over much of the northern hemisphere and South America; however, large discrepancies are seen in east-central and sou th-central Africa and in most of Australia, primarily due to the poor station coverage there. Comparison of the time series from individual stations with those from the gridded data set indicate that the day-to -day variation of temperature and the fraction of wet days are preserv ed, except in the tropics where wet days are overestimated. Station de nsities have been tabulated in terms of total annual net primary produ ctivity to identify countries where increases in station data will be most effective for terrestrial biospheric modeling.