Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence
The interdependence between climatic variables should be taken into account when developing climate scenarios. For example, temperature-precipitation interdependence in the Arctic is strong and impacts on other physical characteristics, such as the extent and duration of snow cover. However, this in...
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Online Access: | https://depositum.uqat.ca/id/eprint/1073/ https://depositum.uqat.ca/id/eprint/1073/1/gennarettietal_jgr_dec2015.pdf https://doi.org/10.1002/2015jd023890 |
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ftunivquebecat:oai:depositum.uqat.ca:1073 2023-05-15T14:26:18+02:00 Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence Gennaretti, Fabio Sangelantoni, Lorenzo Grenier, Patrick 2015-11-05 application/pdf https://depositum.uqat.ca/id/eprint/1073/ https://depositum.uqat.ca/id/eprint/1073/1/gennarettietal_jgr_dec2015.pdf https://doi.org/10.1002/2015jd023890 en eng https://depositum.uqat.ca/id/eprint/1073/1/gennarettietal_jgr_dec2015.pdf Gennaretti, Fabio, Sangelantoni, Lorenzo et Grenier, Patrick (2015). Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence. Journal of Geophysical Research: Atmospheres , 120 (23). doi:10.1002/2015jd023890 <https://doi.org/10.1002/2015jd023890> Repéré dans Depositum à https://depositum.uqat.ca/id/eprint/1073 doi:10.1002/2015jd023890 coastal zone empirical analysis mapping method precipitation assessment regional climate snow cover statistical analysis temperature effect time series Climate models Downscaling Downscaling model Canadian Arctic Article Évalué par les pairs 2015 ftunivquebecat https://doi.org/10.1002/2015jd023890 2022-07-11T11:40:35Z The interdependence between climatic variables should be taken into account when developing climate scenarios. For example, temperature-precipitation interdependence in the Arctic is strong and impacts on other physical characteristics, such as the extent and duration of snow cover. However, this interdependence is often misrepresented in climate simulations. Here we use two two-dimensional (2-D) methods for statistically adjusting climate model simulations to develop plausible local daily temperature (Tmean) and precipitation (Pr) scenarios. The first 2-D method is based on empirical quantile mapping (2Dqm) and the second on parametric copula models (2Dcopula). Both methods are improved here by forcing the preservation of the modeled long-term warming trend and by using moving windows to obtain an adjustment specific to each day of the year. These methods were applied to a representative ensemble of 13 global climate model simulations at 26 Canadian Arctic coastal sites and tested using an innovative cross-validation approach. Intervariable dependence was evaluated using correlation coefficients and empirical copula density plots. Results show that these 2-D methods, especially 2Dqm, adjust individual distributions of climatic time series as adequately as one common one-dimensional method (1Dqm) does. Furthermore, although 2Dqm outperforms the other methods in reproducing the observed temperature-precipitation interdependence over the calibration period, both 2Dqm and 2Dcopula perform similarly over the validation periods. For cases where temperature-precipitation interdependence is important (e.g., characterizing extreme events and the extent and duration of snow cover), both 2-D methods are good options for producing plausible local climate scenarios in Canadian Arctic coastal zones. Article in Journal/Newspaper Arctic Arctic Université du Québec en Abitibi-Témiscamingue (UQAT): Depositum Arctic Journal of Geophysical Research: Atmospheres 120 23 |
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Open Polar |
collection |
Université du Québec en Abitibi-Témiscamingue (UQAT): Depositum |
op_collection_id |
ftunivquebecat |
language |
English |
topic |
coastal zone empirical analysis mapping method precipitation assessment regional climate snow cover statistical analysis temperature effect time series Climate models Downscaling Downscaling model Canadian Arctic |
spellingShingle |
coastal zone empirical analysis mapping method precipitation assessment regional climate snow cover statistical analysis temperature effect time series Climate models Downscaling Downscaling model Canadian Arctic Gennaretti, Fabio Sangelantoni, Lorenzo Grenier, Patrick Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence |
topic_facet |
coastal zone empirical analysis mapping method precipitation assessment regional climate snow cover statistical analysis temperature effect time series Climate models Downscaling Downscaling model Canadian Arctic |
description |
The interdependence between climatic variables should be taken into account when developing climate scenarios. For example, temperature-precipitation interdependence in the Arctic is strong and impacts on other physical characteristics, such as the extent and duration of snow cover. However, this interdependence is often misrepresented in climate simulations. Here we use two two-dimensional (2-D) methods for statistically adjusting climate model simulations to develop plausible local daily temperature (Tmean) and precipitation (Pr) scenarios. The first 2-D method is based on empirical quantile mapping (2Dqm) and the second on parametric copula models (2Dcopula). Both methods are improved here by forcing the preservation of the modeled long-term warming trend and by using moving windows to obtain an adjustment specific to each day of the year. These methods were applied to a representative ensemble of 13 global climate model simulations at 26 Canadian Arctic coastal sites and tested using an innovative cross-validation approach. Intervariable dependence was evaluated using correlation coefficients and empirical copula density plots. Results show that these 2-D methods, especially 2Dqm, adjust individual distributions of climatic time series as adequately as one common one-dimensional method (1Dqm) does. Furthermore, although 2Dqm outperforms the other methods in reproducing the observed temperature-precipitation interdependence over the calibration period, both 2Dqm and 2Dcopula perform similarly over the validation periods. For cases where temperature-precipitation interdependence is important (e.g., characterizing extreme events and the extent and duration of snow cover), both 2-D methods are good options for producing plausible local climate scenarios in Canadian Arctic coastal zones. |
format |
Article in Journal/Newspaper |
author |
Gennaretti, Fabio Sangelantoni, Lorenzo Grenier, Patrick |
author_facet |
Gennaretti, Fabio Sangelantoni, Lorenzo Grenier, Patrick |
author_sort |
Gennaretti, Fabio |
title |
Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence |
title_short |
Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence |
title_full |
Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence |
title_fullStr |
Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence |
title_full_unstemmed |
Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence |
title_sort |
toward daily climate scenarios for canadian arctic coastal zones with more realistic temperature‐precipitation interdependence |
publishDate |
2015 |
url |
https://depositum.uqat.ca/id/eprint/1073/ https://depositum.uqat.ca/id/eprint/1073/1/gennarettietal_jgr_dec2015.pdf https://doi.org/10.1002/2015jd023890 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic |
genre_facet |
Arctic Arctic |
op_relation |
https://depositum.uqat.ca/id/eprint/1073/1/gennarettietal_jgr_dec2015.pdf Gennaretti, Fabio, Sangelantoni, Lorenzo et Grenier, Patrick (2015). Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence. Journal of Geophysical Research: Atmospheres , 120 (23). doi:10.1002/2015jd023890 <https://doi.org/10.1002/2015jd023890> Repéré dans Depositum à https://depositum.uqat.ca/id/eprint/1073 doi:10.1002/2015jd023890 |
op_doi |
https://doi.org/10.1002/2015jd023890 |
container_title |
Journal of Geophysical Research: Atmospheres |
container_volume |
120 |
container_issue |
23 |
_version_ |
1766298800540876800 |