Development of scale‐free climate data for Western Canada for use in resource management
Abstract Applying climate data in resource management requires matching the spatial scale of the climate and resource databases. Interpolating climate data in mountainous regions is difficult. In this study, we present methodology to generate scale‐free climate data through the combination of interp...
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crwiley:10.1002/joc.1247 2024-06-23T07:57:28+00:00 Development of scale‐free climate data for Western Canada for use in resource management Wang, T. Hamann, A. Spittlehouse, D. L. Aitken, S. N. 2006 http://dx.doi.org/10.1002/joc.1247 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.1247 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.1247 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 26, issue 3, page 383-397 ISSN 0899-8418 1097-0088 journal-article 2006 crwiley https://doi.org/10.1002/joc.1247 2024-06-11T04:49:50Z Abstract Applying climate data in resource management requires matching the spatial scale of the climate and resource databases. Interpolating climate data in mountainous regions is difficult. In this study, we present methodology to generate scale‐free climate data through the combination of interpolation techniques and elevation adjustments. We apply it to monthly temperature and precipitation normals for 1961–90 produced by the Parameter‐elevation Regressions on Independent Slopes Model (PRISM) for British Columbia, Yukon Territories, the Alaska Panhandle, and parts of Alberta and the United States. Equations were developed to calculate biologically relevant climate variables including various degree‐days, number of frost‐free days, frost‐free period, and snowfall from monthly temperature and precipitation data. Estimates of climate variables were validated using an independent dataset from weather stations that were not included in the development of the model. Weather station records generally agreed well with estimated climate variables and showed significant improvements over original PRISM climate data. A stand‐alone MS Windows application was developed to perform all calculations and to integrate future climate predictions from various global circulation models. We demonstrate the use of this application by showing how climate change may affect lodgepole pine seed planning zones for reforestation in British Columbia. Copyright © 2006 Royal Meteorological Society. Article in Journal/Newspaper Alaska Yukon Wiley Online Library British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) Canada Yukon International Journal of Climatology 26 3 383 397 |
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Wiley Online Library |
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crwiley |
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English |
description |
Abstract Applying climate data in resource management requires matching the spatial scale of the climate and resource databases. Interpolating climate data in mountainous regions is difficult. In this study, we present methodology to generate scale‐free climate data through the combination of interpolation techniques and elevation adjustments. We apply it to monthly temperature and precipitation normals for 1961–90 produced by the Parameter‐elevation Regressions on Independent Slopes Model (PRISM) for British Columbia, Yukon Territories, the Alaska Panhandle, and parts of Alberta and the United States. Equations were developed to calculate biologically relevant climate variables including various degree‐days, number of frost‐free days, frost‐free period, and snowfall from monthly temperature and precipitation data. Estimates of climate variables were validated using an independent dataset from weather stations that were not included in the development of the model. Weather station records generally agreed well with estimated climate variables and showed significant improvements over original PRISM climate data. A stand‐alone MS Windows application was developed to perform all calculations and to integrate future climate predictions from various global circulation models. We demonstrate the use of this application by showing how climate change may affect lodgepole pine seed planning zones for reforestation in British Columbia. Copyright © 2006 Royal Meteorological Society. |
format |
Article in Journal/Newspaper |
author |
Wang, T. Hamann, A. Spittlehouse, D. L. Aitken, S. N. |
spellingShingle |
Wang, T. Hamann, A. Spittlehouse, D. L. Aitken, S. N. Development of scale‐free climate data for Western Canada for use in resource management |
author_facet |
Wang, T. Hamann, A. Spittlehouse, D. L. Aitken, S. N. |
author_sort |
Wang, T. |
title |
Development of scale‐free climate data for Western Canada for use in resource management |
title_short |
Development of scale‐free climate data for Western Canada for use in resource management |
title_full |
Development of scale‐free climate data for Western Canada for use in resource management |
title_fullStr |
Development of scale‐free climate data for Western Canada for use in resource management |
title_full_unstemmed |
Development of scale‐free climate data for Western Canada for use in resource management |
title_sort |
development of scale‐free climate data for western canada for use in resource management |
publisher |
Wiley |
publishDate |
2006 |
url |
http://dx.doi.org/10.1002/joc.1247 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.1247 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.1247 |
long_lat |
ENVELOPE(-125.003,-125.003,54.000,54.000) |
geographic |
British Columbia Canada Yukon |
geographic_facet |
British Columbia Canada Yukon |
genre |
Alaska Yukon |
genre_facet |
Alaska Yukon |
op_source |
International Journal of Climatology volume 26, issue 3, page 383-397 ISSN 0899-8418 1097-0088 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/joc.1247 |
container_title |
International Journal of Climatology |
container_volume |
26 |
container_issue |
3 |
container_start_page |
383 |
op_container_end_page |
397 |
_version_ |
1802651138223243264 |