Jump to main content
US EPA
United States Environmental Protection Agency
Search
Search
Main menu
Environmental Topics
Laws & Regulations
About EPA
Health & Environmental Research Online (HERO)
Contact Us
Print
Feedback
Export to File
Search:
This record has one attached file:
Add More Files
Attach File(s):
Display Name for File*:
Save
Citation
Tags
HERO ID
1608036
Reference Type
Journal Article
Title
Global daily precipitation fields from bias-corrected rain gauge and satellite observations. Part I: Design and Development
Author(s)
Kottek, M; Rubel, F
Year
2007
Is Peer Reviewed?
1
Journal
Meteorologische Zeitschrift
ISSN:
0941-2948
EISSN:
1610-1227
Volume
16
Issue
5
Page Numbers
525-539
DOI
10.1127/0941-2948/2007/0214
Web of Science Id
WOS:000250777200007
URL
http://openurl.ingenta.com/content/xref?genre=article&issn=0941-2948&volume=16&issue=5&spage=525
Exit
Abstract
Global daily precipitation analyses are mainly based on
satellite estimates, often calibrated with monthly ground analyses or merged with model
predictions. We argue here that an essential improvement of their accuracy is only possible by
incorporation of daily ground measurements. In this work we apply geostatistical methods to
compile a global precipitation product based on daily rain gauge measurements. The raw ground
measurements, disseminated via Global Telecommunication System (GTS), are corrected for their
systematic measurement errors and interpolated onto a global 1 degree grid. For interpolation
ordinary block kriging is applied, with precalculated spatial auto-correlation functions (ACFs).
This technique allows to incorporate additional climate information. First, monthly ACFs are
calculated from the daily data; second, they are regionalised according to the five main climatic
zones of the Koppen-Geiger climate classification. The interpolation error, a by-product of
kriging, is used to flag grid points as missing if the error is above a predefined threshold. But
for many applications missing values constitute a problem. Due to a combination of the ground
analyses with the daily multi-satellite product of the Global Precipitation Climatology Project
(GPCP-1DD) not only these missing values are replaced but also the spatial structure of the
satellite estimates is considered. As merging method bivariate ordinary co-kriging is applied.
The ACFs necessary for the gauge and the satellite fields as well as the corresponding spatial
cross-correlation functions (CCFs) are again precalculated for each of the five main climatic
zones and for each individual month. As a result two new global daily data sets for the period
1996 up to today will be available on the Internet (www.gmes-geoland.info): A precipitation
product over land, analysed from ground measurements; and a global precipitation product merged
from this and the GPCP-1DD multi-satellite product.
Home
Learn about HERO
Using HERO
Search HERO
Projects in HERO
Risk Assessment
Transparency & Integrity