Updated high-resolution grids of monthly climatic observations.
ABSTRACT: This paper describes the construction of an updated gridded climate dataset (referred to as CRU TS3.10) from monthly observations at meteorological stations across the world's land areas. Station anomalies (from 1961 to 1990 means) were interpolated into 0.5 • latitude/longitude grid...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1075.3888 2023-05-15T13:37:25+02:00 Updated high-resolution grids of monthly climatic observations. I Harris P D Jones T J Osborn D H Lister The Pennsylvania State University CiteSeerX Archives 2014 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1075.3888 http://www.euro4m.eu/Publications/Harris_Updated_high-resolution_grids_of_monthly_climate_observations-The_CRU_TS3.10_dataset.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1075.3888 http://www.euro4m.eu/Publications/Harris_Updated_high-resolution_grids_of_monthly_climate_observations-The_CRU_TS3.10_dataset.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.euro4m.eu/Publications/Harris_Updated_high-resolution_grids_of_monthly_climate_observations-The_CRU_TS3.10_dataset.pdf text 2014 ftciteseerx 2020-04-26T00:29:23Z ABSTRACT: This paper describes the construction of an updated gridded climate dataset (referred to as CRU TS3.10) from monthly observations at meteorological stations across the world's land areas. Station anomalies (from 1961 to 1990 means) were interpolated into 0.5 • latitude/longitude grid cells covering the global land surface (excluding Antarctica), and combined with an existing climatology to obtain absolute monthly values. The dataset includes six mostly independent climate variables (mean temperature, diurnal temperature range, precipitation, wet-day frequency, vapour pressure and cloud cover). Maximum and minimum temperatures have been arithmetically derived from these. Secondary variables (frost day frequency and potential evapotranspiration) have been estimated from the six primary variables using well-known formulae. Time series for hemispheric averages and 20 large sub-continental scale regions were calculated (for mean, maximum and minimum temperature and precipitation totals) and compared to a number of similar gridded products. The new dataset compares very favourably, with the major deviations mostly in regions and/or time periods with sparser observational data. CRU TS3.10 includes diagnostics associated with each interpolated value that indicates the number of stations used in the interpolation, allowing determination of the reliability of values in an objective way. This gridded product will be publicly available, including the input station series Text Antarc* Antarctica Unknown |
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English |
description |
ABSTRACT: This paper describes the construction of an updated gridded climate dataset (referred to as CRU TS3.10) from monthly observations at meteorological stations across the world's land areas. Station anomalies (from 1961 to 1990 means) were interpolated into 0.5 • latitude/longitude grid cells covering the global land surface (excluding Antarctica), and combined with an existing climatology to obtain absolute monthly values. The dataset includes six mostly independent climate variables (mean temperature, diurnal temperature range, precipitation, wet-day frequency, vapour pressure and cloud cover). Maximum and minimum temperatures have been arithmetically derived from these. Secondary variables (frost day frequency and potential evapotranspiration) have been estimated from the six primary variables using well-known formulae. Time series for hemispheric averages and 20 large sub-continental scale regions were calculated (for mean, maximum and minimum temperature and precipitation totals) and compared to a number of similar gridded products. The new dataset compares very favourably, with the major deviations mostly in regions and/or time periods with sparser observational data. CRU TS3.10 includes diagnostics associated with each interpolated value that indicates the number of stations used in the interpolation, allowing determination of the reliability of values in an objective way. This gridded product will be publicly available, including the input station series |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
I Harris P D Jones T J Osborn D H Lister |
spellingShingle |
I Harris P D Jones T J Osborn D H Lister Updated high-resolution grids of monthly climatic observations. |
author_facet |
I Harris P D Jones T J Osborn D H Lister |
author_sort |
I Harris |
title |
Updated high-resolution grids of monthly climatic observations. |
title_short |
Updated high-resolution grids of monthly climatic observations. |
title_full |
Updated high-resolution grids of monthly climatic observations. |
title_fullStr |
Updated high-resolution grids of monthly climatic observations. |
title_full_unstemmed |
Updated high-resolution grids of monthly climatic observations. |
title_sort |
updated high-resolution grids of monthly climatic observations. |
publishDate |
2014 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1075.3888 http://www.euro4m.eu/Publications/Harris_Updated_high-resolution_grids_of_monthly_climate_observations-The_CRU_TS3.10_dataset.pdf |
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Antarc* Antarctica |
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Antarc* Antarctica |
op_source |
http://www.euro4m.eu/Publications/Harris_Updated_high-resolution_grids_of_monthly_climate_observations-The_CRU_TS3.10_dataset.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1075.3888 http://www.euro4m.eu/Publications/Harris_Updated_high-resolution_grids_of_monthly_climate_observations-The_CRU_TS3.10_dataset.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766091651100442624 |