Developing high-quality meteorological data for East and West Africa from merged sources
Assessments of agricultural productivity and food security require process-based crop models to provide predictions of yields and diagnose past variations in the context of anthropogenic and climate factors. These models need detailed meteorological data as input, including precipitation, temperatur...
| Main Authors: | , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
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CGIAR Research Program on Climate Change, Agriculture and Food Security
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/33519 |
| _version_ | 1855525822463475712 |
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| author | Sheffield J Chaney N |
| author_browse | Chaney N Sheffield J |
| author_facet | Sheffield J Chaney N |
| author_sort | Sheffield J |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Assessments of agricultural productivity and food security require process-based crop models to provide predictions of yields and diagnose past variations in the context of anthropogenic and climate factors. These models need detailed meteorological data as input, including precipitation, temperature, humidity, solar radiation and windspeed. This project aimed to apply existing methods to merge in situ, remotely sensed and modeled data sources in East and West Africa to produce high-quality daily meteorological data over at least 30 years. Specific objectives included: evaluation of the error structure of the dataset, its temporal and spatial characteristics and consistency and its suitability for forcing crop models, and to provide a framework for merging new data, in particular from the local stations of regional African partners, ensuring consistency across time and space and among variables, as well as the best use of information.
The work successfully created a 10 kilometre, daily meteorological dataset for East and West Africa for the period 1979–2008, based on the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP–NCAR) reanalysis (NNR), merged with observational datasets, including the monthly gridded precipitation and temperature product of the University of East Anglia’s Climate Research Unit (CRU), the NASA Langley Surface Radiation Budget (SRB) product, and station data from the Global Summary of the Day (GSOD) database. |
| format | Artículo preliminar |
| id | CGSpace33519 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| publisherStr | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| record_format | dspace |
| spelling | CGSpace335192024-01-09T09:56:45Z Developing high-quality meteorological data for East and West Africa from merged sources Sheffield J Chaney N agriculture food security data climate meteorological instruments Assessments of agricultural productivity and food security require process-based crop models to provide predictions of yields and diagnose past variations in the context of anthropogenic and climate factors. These models need detailed meteorological data as input, including precipitation, temperature, humidity, solar radiation and windspeed. This project aimed to apply existing methods to merge in situ, remotely sensed and modeled data sources in East and West Africa to produce high-quality daily meteorological data over at least 30 years. Specific objectives included: evaluation of the error structure of the dataset, its temporal and spatial characteristics and consistency and its suitability for forcing crop models, and to provide a framework for merging new data, in particular from the local stations of regional African partners, ensuring consistency across time and space and among variables, as well as the best use of information. The work successfully created a 10 kilometre, daily meteorological dataset for East and West Africa for the period 1979–2008, based on the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP–NCAR) reanalysis (NNR), merged with observational datasets, including the monthly gridded precipitation and temperature product of the University of East Anglia’s Climate Research Unit (CRU), the NASA Langley Surface Radiation Budget (SRB) product, and station data from the Global Summary of the Day (GSOD) database. 2013-08-22 2013-08-23T14:00:33Z 2013-08-23T14:00:33Z Working Paper https://hdl.handle.net/10568/33519 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Sheffield J, Chaney N. 2013. Developing high-quality meteorological data for East and West Africa from merged sources. CCAFS Working Paper No. 45. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). |
| spellingShingle | agriculture food security data climate meteorological instruments Sheffield J Chaney N Developing high-quality meteorological data for East and West Africa from merged sources |
| title | Developing high-quality meteorological data for East and West Africa from merged sources |
| title_full | Developing high-quality meteorological data for East and West Africa from merged sources |
| title_fullStr | Developing high-quality meteorological data for East and West Africa from merged sources |
| title_full_unstemmed | Developing high-quality meteorological data for East and West Africa from merged sources |
| title_short | Developing high-quality meteorological data for East and West Africa from merged sources |
| title_sort | developing high quality meteorological data for east and west africa from merged sources |
| topic | agriculture food security data climate meteorological instruments |
| url | https://hdl.handle.net/10568/33519 |
| work_keys_str_mv | AT sheffieldj developinghighqualitymeteorologicaldataforeastandwestafricafrommergedsources AT chaneyn developinghighqualitymeteorologicaldataforeastandwestafricafrommergedsources |