The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019)
The measurement of precipitation in the Environment and Climate Change Canada (ECCC) surface network is a crucial component for climate and weather monitoring, flood and water resource forecasting, numerical weather prediction, and many other applications that impact the health and safety of Canadia...
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Copernicus Publications
2022
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00063702 2023-05-15T15:00:41+02:00 The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019) Smith, Craig D. Mekis, Eva Hartwell, Megan Ross, Amber 2022-11 electronic https://doi.org/10.5194/essd-14-5253-2022 https://noa.gwlb.de/receive/cop_mods_00063702 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062677/essd-14-5253-2022.pdf https://essd.copernicus.org/articles/14/5253/2022/essd-14-5253-2022.pdf eng eng Copernicus Publications Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-14-5253-2022 https://noa.gwlb.de/receive/cop_mods_00063702 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062677/essd-14-5253-2022.pdf https://essd.copernicus.org/articles/14/5253/2022/essd-14-5253-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/essd-14-5253-2022 2022-12-05T00:12:17Z The measurement of precipitation in the Environment and Climate Change Canada (ECCC) surface network is a crucial component for climate and weather monitoring, flood and water resource forecasting, numerical weather prediction, and many other applications that impact the health and safety of Canadians. Through the late 1990s and early 2000s, the ECCC surface network modernization resulted in a shift from manual to automated precipitation measurements. Although many advantages to automation are realized, such as enhanced capabilities for monitoring in remote locations and a higher frequency of observations at lower cost, the increased reliance on automated precipitation gauges has also resulted in additional challenges, especially with data quality and homogenization. The automated weighing precipitation gauges used in the ECCC operational network have an increased propensity for wind-induced undercatch of solid precipitation. One outcome of the World Meteorological Organization (WMO) Solid Precipitation Intercomparison Experiment (SPICE) was the development of transfer functions for the adjustment of high-frequency solid precipitation measurements made with gauge/wind shield configurations used in the ECCC surface network. Using the SPICE universal transfer function (UTF), hourly precipitation measurements from 397 ECCC automated climate stations were retroactively adjusted for wind undercatch. The data format, quality control, and adjustment procedures are described here. The hourly adjusted data set (2001–2019; version v2019UTF) is available via the ECCC data catalogue at https://doi.org/10.18164/6b90d130-4e73-422a-9374-07a2437d7e52 (ECCC, 2021). A basic spatial impact assessment shows that the highest relative total precipitation adjustments occur in the Arctic, where solid precipitation has an overall higher annual occurrence ratio. The highest adjustments for solid precipitation are shared by the Arctic, Southern Prairies, and the coastal Maritimes, where stations tend to be more exposed and snowfall events ... Article in Journal/Newspaper Arctic Climate change Niedersächsisches Online-Archiv NOA Arctic Canada Earth System Science Data 14 12 5253 5265 |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Smith, Craig D. Mekis, Eva Hartwell, Megan Ross, Amber The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019) |
topic_facet |
article Verlagsveröffentlichung |
description |
The measurement of precipitation in the Environment and Climate Change Canada (ECCC) surface network is a crucial component for climate and weather monitoring, flood and water resource forecasting, numerical weather prediction, and many other applications that impact the health and safety of Canadians. Through the late 1990s and early 2000s, the ECCC surface network modernization resulted in a shift from manual to automated precipitation measurements. Although many advantages to automation are realized, such as enhanced capabilities for monitoring in remote locations and a higher frequency of observations at lower cost, the increased reliance on automated precipitation gauges has also resulted in additional challenges, especially with data quality and homogenization. The automated weighing precipitation gauges used in the ECCC operational network have an increased propensity for wind-induced undercatch of solid precipitation. One outcome of the World Meteorological Organization (WMO) Solid Precipitation Intercomparison Experiment (SPICE) was the development of transfer functions for the adjustment of high-frequency solid precipitation measurements made with gauge/wind shield configurations used in the ECCC surface network. Using the SPICE universal transfer function (UTF), hourly precipitation measurements from 397 ECCC automated climate stations were retroactively adjusted for wind undercatch. The data format, quality control, and adjustment procedures are described here. The hourly adjusted data set (2001–2019; version v2019UTF) is available via the ECCC data catalogue at https://doi.org/10.18164/6b90d130-4e73-422a-9374-07a2437d7e52 (ECCC, 2021). A basic spatial impact assessment shows that the highest relative total precipitation adjustments occur in the Arctic, where solid precipitation has an overall higher annual occurrence ratio. The highest adjustments for solid precipitation are shared by the Arctic, Southern Prairies, and the coastal Maritimes, where stations tend to be more exposed and snowfall events ... |
format |
Article in Journal/Newspaper |
author |
Smith, Craig D. Mekis, Eva Hartwell, Megan Ross, Amber |
author_facet |
Smith, Craig D. Mekis, Eva Hartwell, Megan Ross, Amber |
author_sort |
Smith, Craig D. |
title |
The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019) |
title_short |
The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019) |
title_full |
The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019) |
title_fullStr |
The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019) |
title_full_unstemmed |
The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019) |
title_sort |
hourly wind-bias-adjusted precipitation data set from the environment and climate change canada automated surface observation network (2001–2019) |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/essd-14-5253-2022 https://noa.gwlb.de/receive/cop_mods_00063702 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062677/essd-14-5253-2022.pdf https://essd.copernicus.org/articles/14/5253/2022/essd-14-5253-2022.pdf |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_relation |
Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-14-5253-2022 https://noa.gwlb.de/receive/cop_mods_00063702 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062677/essd-14-5253-2022.pdf https://essd.copernicus.org/articles/14/5253/2022/essd-14-5253-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/essd-14-5253-2022 |
container_title |
Earth System Science Data |
container_volume |
14 |
container_issue |
12 |
container_start_page |
5253 |
op_container_end_page |
5265 |
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1766332767265619968 |