2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis
An effort is under way aimed at historical analysis and monitoring of the pan-Arctic terrestrial drainage system. A key element is the provision of gridded precipitation time series that can be readily updated. This has proven to be a daunting task. Except for a few areas, the station network is spa...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.669.8340 2023-05-15T14:58:40+02:00 2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis Mark C. Serreze Martyn P. Clark David H. Bromwich The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.8340 http://polarmet.osu.edu/PMG_publications/serreze_clark_jh_2003.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.8340 http://polarmet.osu.edu/PMG_publications/serreze_clark_jh_2003.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://polarmet.osu.edu/PMG_publications/serreze_clark_jh_2003.pdf text ftciteseerx 2016-01-08T17:16:26Z An effort is under way aimed at historical analysis and monitoring of the pan-Arctic terrestrial drainage system. A key element is the provision of gridded precipitation time series that can be readily updated. This has proven to be a daunting task. Except for a few areas, the station network is sparse, with large measurement biases due to poor catch efficiency of solid precipitation. The variety of gauges used by different countries along with different reporting practices introduces further uncertainty. Since about 1990, there has been serious degradation of the monitoring network due to station closure and a trend toward automation in Canada. Station data are used to compile monthly gridded time series for the 30-yr period 1960–89 at a cell resolution of 175 km. The station network is generally sufficient to estimate the mean and standard deviation of precipitation at this scale (hence the statistical distributions). However, as the interpolation procedures must typically draw from stations well outside of the grid box bounds, grid box time series are poorly represented. Accurately capturing time series requires typically four stations per 175-km cell, but only 38 % of cells contain even a single station. Precipitation updates at about a 1-month time lag can be obtained by using the observed precipitation dis-tributions to rescale precipitation forecasts from the NCEP-1 reanalysis via a nonparametric probability transform. Text Arctic Unknown Arctic Canada |
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English |
description |
An effort is under way aimed at historical analysis and monitoring of the pan-Arctic terrestrial drainage system. A key element is the provision of gridded precipitation time series that can be readily updated. This has proven to be a daunting task. Except for a few areas, the station network is sparse, with large measurement biases due to poor catch efficiency of solid precipitation. The variety of gauges used by different countries along with different reporting practices introduces further uncertainty. Since about 1990, there has been serious degradation of the monitoring network due to station closure and a trend toward automation in Canada. Station data are used to compile monthly gridded time series for the 30-yr period 1960–89 at a cell resolution of 175 km. The station network is generally sufficient to estimate the mean and standard deviation of precipitation at this scale (hence the statistical distributions). However, as the interpolation procedures must typically draw from stations well outside of the grid box bounds, grid box time series are poorly represented. Accurately capturing time series requires typically four stations per 175-km cell, but only 38 % of cells contain even a single station. Precipitation updates at about a 1-month time lag can be obtained by using the observed precipitation dis-tributions to rescale precipitation forecasts from the NCEP-1 reanalysis via a nonparametric probability transform. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Mark C. Serreze Martyn P. Clark David H. Bromwich |
spellingShingle |
Mark C. Serreze Martyn P. Clark David H. Bromwich 2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis |
author_facet |
Mark C. Serreze Martyn P. Clark David H. Bromwich |
author_sort |
Mark C. Serreze |
title |
2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis |
title_short |
2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis |
title_full |
2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis |
title_fullStr |
2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis |
title_full_unstemmed |
2003b. Monitoring precipitation over the Arctic terrestrial drainage system: Data requirements, shortcomings, and applications of atmospheric reanalysis |
title_sort |
2003b. monitoring precipitation over the arctic terrestrial drainage system: data requirements, shortcomings, and applications of atmospheric reanalysis |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.8340 http://polarmet.osu.edu/PMG_publications/serreze_clark_jh_2003.pdf |
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Arctic Canada |
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Arctic Canada |
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Arctic |
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Arctic |
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http://polarmet.osu.edu/PMG_publications/serreze_clark_jh_2003.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.8340 http://polarmet.osu.edu/PMG_publications/serreze_clark_jh_2003.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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