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The Centennial Trends Greater Horn of Africa precipitation dataset
by
Landsfeld, Martin
, Funk, Chris
, Peterson, Pete
, Nicholson, Sharon E.
, Klotter, Douglas
, Harrison, Laura
in
704/106/242
/ 704/106/694
/ 704/106/694/2739
/ 706/2805
/ Africa, Eastern
/ Climate
/ Data Descriptor
/ Droughts
/ Humanities and Social Sciences
/ multidisciplinary
/ Rain
/ Science
2015
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The Centennial Trends Greater Horn of Africa precipitation dataset
by
Landsfeld, Martin
, Funk, Chris
, Peterson, Pete
, Nicholson, Sharon E.
, Klotter, Douglas
, Harrison, Laura
in
704/106/242
/ 704/106/694
/ 704/106/694/2739
/ 706/2805
/ Africa, Eastern
/ Climate
/ Data Descriptor
/ Droughts
/ Humanities and Social Sciences
/ multidisciplinary
/ Rain
/ Science
2015
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
The Centennial Trends Greater Horn of Africa precipitation dataset
by
Landsfeld, Martin
, Funk, Chris
, Peterson, Pete
, Nicholson, Sharon E.
, Klotter, Douglas
, Harrison, Laura
in
704/106/242
/ 704/106/694
/ 704/106/694/2739
/ 706/2805
/ Africa, Eastern
/ Climate
/ Data Descriptor
/ Droughts
/ Humanities and Social Sciences
/ multidisciplinary
/ Rain
/ Science
2015
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The Centennial Trends Greater Horn of Africa precipitation dataset
Journal Article
The Centennial Trends Greater Horn of Africa precipitation dataset
2015
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Overview
East Africa is a drought prone, food and water insecure region with a highly variable climate. This complexity makes rainfall estimation challenging, and this challenge is compounded by low rain gauge densities and inhomogeneous monitoring networks. The dearth of observations is particularly problematic over the past decade, since the number of records in globally accessible archives has fallen precipitously. This lack of data coincides with an increasing scientific and humanitarian need to place recent seasonal and multi-annual East African precipitation extremes in a deep historic context. To serve this need, scientists from the UC Santa Barbara Climate Hazards Group and Florida State University have pooled their station archives and expertise to produce a high quality gridded ‘Centennial Trends’ precipitation dataset. Additional observations have been acquired from the national meteorological agencies and augmented with data provided by other universities. Extensive quality control of the data was carried out and seasonal anomalies interpolated using kriging. This paper documents the CenTrends methodology and data.
Design Type(s)
observation design • time series design • data integration objective
Measurement Type(s)
atmospheric precipitation
Technology Type(s)
meterological observation
Factor Type(s)
Sample Characteristic(s)
Tanzania • Kenya • Ethiopia • Uganda • Rwanda • Burundi • Eritrea • Somalia • atmospheric water vapour
Machine-accessible metadata file describing the reported data
(ISA-Tab format)
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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