The Centennial Trends Greater Horn of Africa precipitation dataset
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 problem...
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pubmed-45873712015-10-08 The Centennial Trends Greater Horn of Africa precipitation dataset Funk, Chris Nicholson, Sharon E. Landsfeld, Martin Klotter, Douglas Peterson, Pete Harrison, Laura Data Descriptor 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. Nature Publishing Group 2015-09-29 /pmc/articles/PMC4587371/ /pubmed/26451250 http://dx.doi.org/10.1038/sdata.2015.50 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Funk, Chris Nicholson, Sharon E. Landsfeld, Martin Klotter, Douglas Peterson, Pete Harrison, Laura |
spellingShingle |
Funk, Chris Nicholson, Sharon E. Landsfeld, Martin Klotter, Douglas Peterson, Pete Harrison, Laura The Centennial Trends Greater Horn of Africa precipitation dataset |
author_facet |
Funk, Chris Nicholson, Sharon E. Landsfeld, Martin Klotter, Douglas Peterson, Pete Harrison, Laura |
author_sort |
Funk, Chris |
title |
The Centennial Trends Greater Horn of Africa precipitation dataset |
title_short |
The Centennial Trends Greater Horn of Africa precipitation dataset |
title_full |
The Centennial Trends Greater Horn of Africa precipitation dataset |
title_fullStr |
The Centennial Trends Greater Horn of Africa precipitation dataset |
title_full_unstemmed |
The Centennial Trends Greater Horn of Africa precipitation dataset |
title_sort |
centennial trends greater horn of africa precipitation dataset |
description |
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. |
publisher |
Nature Publishing Group |
publishDate |
2015 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587371/ |
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1613481484573736960 |