Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia
Reanalyses data sets, being temporally and spatially complete and available on six hourly timescales, are extremely convenient to use. Real observations represent the climate system with greater fidelity than reanalyses can, given that the latter are a complicated blend of observations and models vi...
| Main Authors: | , , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/52268 |
| _version_ | 1855529224946843648 |
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| author | Washington, R. Pearce, H Engelstaedter, S Diep, T.K. |
| author_browse | Diep, T.K. Engelstaedter, S Pearce, H Washington, R. |
| author_facet | Washington, R. Pearce, H Engelstaedter, S Diep, T.K. |
| author_sort | Washington, R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Reanalyses data sets, being temporally and spatially complete and available on six hourly timescales, are extremely convenient to use. Real observations represent the climate system with greater fidelity than reanalyses can, given that the latter are a complicated blend of observations and models via an assimilation scheme and rely heavily on the assimilation scheme where observations are absent. Knowing whether the reanalyses data reflects real data can be difficult to establish. In this part of the report, the observed data is compared with three reanalyses data sets for the SE Asia region. We use observations from SYNOP and METAR reports. SYNOP and METAR data are, in effect, observations taken at met stations and delivered to the Global Telecommunication System (GTS). Once in the GTS, they can be archived by institutions such as those delivering weather forecasts. Access to these data via the archives is generally much easier than through the individual Met Agencies. This is particularly true in the case of a study covering multiple nation states. These datasets are described in more detail in Sections 1.1 and 1.2. |
| format | Informe técnico |
| id | CGSpace52268 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| 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 | CGSpace522682024-01-23T12:04:21Z Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia Washington, R. Pearce, H Engelstaedter, S Diep, T.K. climate models climatic data data analysis food security Reanalyses data sets, being temporally and spatially complete and available on six hourly timescales, are extremely convenient to use. Real observations represent the climate system with greater fidelity than reanalyses can, given that the latter are a complicated blend of observations and models via an assimilation scheme and rely heavily on the assimilation scheme where observations are absent. Knowing whether the reanalyses data reflects real data can be difficult to establish. In this part of the report, the observed data is compared with three reanalyses data sets for the SE Asia region. We use observations from SYNOP and METAR reports. SYNOP and METAR data are, in effect, observations taken at met stations and delivered to the Global Telecommunication System (GTS). Once in the GTS, they can be archived by institutions such as those delivering weather forecasts. Access to these data via the archives is generally much easier than through the individual Met Agencies. This is particularly true in the case of a study covering multiple nation states. These datasets are described in more detail in Sections 1.1 and 1.2. 2014-01-30 2015-01-08T14:05:42Z 2015-01-08T14:05:42Z Report https://hdl.handle.net/10568/52268 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Washington R, Pearce H, Engelstaedter S, Diep TK. 2014. Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) |
| spellingShingle | climate models climatic data data analysis food security Washington, R. Pearce, H Engelstaedter, S Diep, T.K. Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia |
| title | Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia |
| title_full | Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia |
| title_fullStr | Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia |
| title_full_unstemmed | Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia |
| title_short | Technical Report: Observations and reanalyses data: comparison and trends in Southeast Asia |
| title_sort | technical report observations and reanalyses data comparison and trends in southeast asia |
| topic | climate models climatic data data analysis food security |
| url | https://hdl.handle.net/10568/52268 |
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