Variability of Extreme Temperature in the Arctic - Observation and RCM
This paper discusses results of a simulation with the regional climate model HIRHAM for 1958-2001, driven by the ECMWF reanalysis (ERA40) data over the Arctic domain. The aim is to analyze the ability of the model to capture certain features of climate extremes derived from daily mean, maximum and m...
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crbenthamsciepub:10.2174/1874282301004010126 2023-11-05T03:39:00+01:00 Variability of Extreme Temperature in the Arctic - Observation and RCM Matthes, Heidrun Rinke, Annette Dethloff, Klaus 2010 http://dx.doi.org/10.2174/1874282301004010126 https://openatmosphericsciencejournal.com/contents/volumes/V4/TOASCJ-4-126/TOASCJ-4-126.pdf https://openatmosphericsciencejournal.com/contents/volumes/V4/TOASCJ-4-126/TOASCJ-4-126.xml en eng Bentham Science Publishers Ltd. https://creativecommons.org/licenses/by/4.0/legalcode The Open Atmospheric Science Journal volume 4, issue 1, page 126-136 ISSN 1874-2823 Atmospheric Science journal-article 2010 crbenthamsciepub https://doi.org/10.2174/1874282301004010126 2023-10-09T16:43:47Z This paper discusses results of a simulation with the regional climate model HIRHAM for 1958-2001, driven by the ECMWF reanalysis (ERA40) data over the Arctic domain. The aim is to analyze the ability of the model to capture certain features of climate extremes derived from daily mean, maximum and minimum temperatures. For this purpose, a range of climate indices (frost days, cold and warm spell days, growing degree days and growing season length) was calculated from the model output as well as from ERA40 data and region-specific station data for Eastern and Western Russian Arctic for comparison. It is demonstrated that the model captures the main features in the spatial distribution and temporal development of most indices well. Though systematic deviations in the seasonal means occur in various indices (frost days, growing degree days), variability and trends are well reproduced. Seasonal mean patterns in frost days are reproduced best, though the model persistently calculates too many frost days. Seasonal means of cold and warm spell days are reproduced without systematic biases, though deviations occur in summer for cold spells and in spring and summer for warm spells due to an early spring warming in the regional climate model and a low variability of the daily maximum temperature over sea ice. Article in Journal/Newspaper Arctic Sea ice Bentham Science Publishers (via Crossref) The Open Atmospheric Science Journal 4 1 126 136 |
institution |
Open Polar |
collection |
Bentham Science Publishers (via Crossref) |
op_collection_id |
crbenthamsciepub |
language |
English |
topic |
Atmospheric Science |
spellingShingle |
Atmospheric Science Matthes, Heidrun Rinke, Annette Dethloff, Klaus Variability of Extreme Temperature in the Arctic - Observation and RCM |
topic_facet |
Atmospheric Science |
description |
This paper discusses results of a simulation with the regional climate model HIRHAM for 1958-2001, driven by the ECMWF reanalysis (ERA40) data over the Arctic domain. The aim is to analyze the ability of the model to capture certain features of climate extremes derived from daily mean, maximum and minimum temperatures. For this purpose, a range of climate indices (frost days, cold and warm spell days, growing degree days and growing season length) was calculated from the model output as well as from ERA40 data and region-specific station data for Eastern and Western Russian Arctic for comparison. It is demonstrated that the model captures the main features in the spatial distribution and temporal development of most indices well. Though systematic deviations in the seasonal means occur in various indices (frost days, growing degree days), variability and trends are well reproduced. Seasonal mean patterns in frost days are reproduced best, though the model persistently calculates too many frost days. Seasonal means of cold and warm spell days are reproduced without systematic biases, though deviations occur in summer for cold spells and in spring and summer for warm spells due to an early spring warming in the regional climate model and a low variability of the daily maximum temperature over sea ice. |
format |
Article in Journal/Newspaper |
author |
Matthes, Heidrun Rinke, Annette Dethloff, Klaus |
author_facet |
Matthes, Heidrun Rinke, Annette Dethloff, Klaus |
author_sort |
Matthes, Heidrun |
title |
Variability of Extreme Temperature in the Arctic - Observation and RCM |
title_short |
Variability of Extreme Temperature in the Arctic - Observation and RCM |
title_full |
Variability of Extreme Temperature in the Arctic - Observation and RCM |
title_fullStr |
Variability of Extreme Temperature in the Arctic - Observation and RCM |
title_full_unstemmed |
Variability of Extreme Temperature in the Arctic - Observation and RCM |
title_sort |
variability of extreme temperature in the arctic - observation and rcm |
publisher |
Bentham Science Publishers Ltd. |
publishDate |
2010 |
url |
http://dx.doi.org/10.2174/1874282301004010126 https://openatmosphericsciencejournal.com/contents/volumes/V4/TOASCJ-4-126/TOASCJ-4-126.pdf https://openatmosphericsciencejournal.com/contents/volumes/V4/TOASCJ-4-126/TOASCJ-4-126.xml |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
The Open Atmospheric Science Journal volume 4, issue 1, page 126-136 ISSN 1874-2823 |
op_rights |
https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.2174/1874282301004010126 |
container_title |
The Open Atmospheric Science Journal |
container_volume |
4 |
container_issue |
1 |
container_start_page |
126 |
op_container_end_page |
136 |
_version_ |
1781694792212676608 |