Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model
Air temperature at 2-m (T2) in the Arctic represents its local climate. Its quantification is one of the major criteria to evaluate the performance of numerical models in reflecting the complex physical and dynamical processes associated with the surface energy balance. This study uses HIRHAM5 regio...
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ftawi:oai:epic.awi.de:50417 2023-05-15T13:10:58+02:00 Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model Zhou, Xu Matthes, Heidrun Rinke, Annette Huang, Bo Zang, Kun Dethloff, Klaus 2019-03 https://epic.awi.de/id/eprint/50417/ https://hdl.handle.net/10013/epic.b1cf4740-de88-4640-8357-98122124b161 unknown ELSEVIER SCIENCE INC Zhou, X. , Matthes, H. orcid:0000-0001-9913-7696 , Rinke, A. orcid:0000-0002-6685-9219 , Huang, B. , Zang, K. and Dethloff, K. orcid:0000-0003-4162-148X (2019) Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model , Atmospheric Research, 217 , pp. 137-149 . doi:10.1016/j.atmosres.2018.10.022 <https://doi.org/10.1016/j.atmosres.2018.10.022> , hdl:10013/epic.b1cf4740-de88-4640-8357-98122124b161 EPIC3Atmospheric Research, ELSEVIER SCIENCE INC, 217, pp. 137-149, ISSN: 0169-8095 Article isiRev 2019 ftawi https://doi.org/10.1016/j.atmosres.2018.10.022 2021-12-24T15:45:01Z Air temperature at 2-m (T2) in the Arctic represents its local climate. Its quantification is one of the major criteria to evaluate the performance of numerical models in reflecting the complex physical and dynamical processes associated with the surface energy balance. This study uses HIRHAM5 regional climate model to simulate the Arctic climate during 1979–2014. Evaluations with Arctic station observations reveal that HIRHAM5 can generally reproduce the temporal and spatial variation of the T2, although a systematic cold bias of ca. −2 °C exists in all seasons. The overestimated surface albedo in spring and autumn, and the underestimated downward solar radiation associated with the cloud cover in summer are the main causes of the cold biases in each respective season. The model also simulates the Arctic warming well (with linear trends of 0.40 °C decade−1 for the annual mean T2), although the magnitude is less than that from ERA-Interim (0.55 °C decade−1) and station observations (0.60 °C decade−1). In addition, strong decadal variability is clear in the T2 trends calculated using an 11-year moving windows, especially in winter and spring, which is mainly associated with the variability of the Arctic/North Atlantic Oscillations. Article in Journal/Newspaper albedo Arctic Arctic North Atlantic Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Atmospheric Research 217 137 149 |
institution |
Open Polar |
collection |
Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Air temperature at 2-m (T2) in the Arctic represents its local climate. Its quantification is one of the major criteria to evaluate the performance of numerical models in reflecting the complex physical and dynamical processes associated with the surface energy balance. This study uses HIRHAM5 regional climate model to simulate the Arctic climate during 1979–2014. Evaluations with Arctic station observations reveal that HIRHAM5 can generally reproduce the temporal and spatial variation of the T2, although a systematic cold bias of ca. −2 °C exists in all seasons. The overestimated surface albedo in spring and autumn, and the underestimated downward solar radiation associated with the cloud cover in summer are the main causes of the cold biases in each respective season. The model also simulates the Arctic warming well (with linear trends of 0.40 °C decade−1 for the annual mean T2), although the magnitude is less than that from ERA-Interim (0.55 °C decade−1) and station observations (0.60 °C decade−1). In addition, strong decadal variability is clear in the T2 trends calculated using an 11-year moving windows, especially in winter and spring, which is mainly associated with the variability of the Arctic/North Atlantic Oscillations. |
format |
Article in Journal/Newspaper |
author |
Zhou, Xu Matthes, Heidrun Rinke, Annette Huang, Bo Zang, Kun Dethloff, Klaus |
spellingShingle |
Zhou, Xu Matthes, Heidrun Rinke, Annette Huang, Bo Zang, Kun Dethloff, Klaus Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model |
author_facet |
Zhou, Xu Matthes, Heidrun Rinke, Annette Huang, Bo Zang, Kun Dethloff, Klaus |
author_sort |
Zhou, Xu |
title |
Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model |
title_short |
Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model |
title_full |
Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model |
title_fullStr |
Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model |
title_full_unstemmed |
Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model |
title_sort |
simulating arctic 2-m air temperature and its linear trends using the hirham5 regional climate model |
publisher |
ELSEVIER SCIENCE INC |
publishDate |
2019 |
url |
https://epic.awi.de/id/eprint/50417/ https://hdl.handle.net/10013/epic.b1cf4740-de88-4640-8357-98122124b161 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Arctic North Atlantic |
genre_facet |
albedo Arctic Arctic North Atlantic |
op_source |
EPIC3Atmospheric Research, ELSEVIER SCIENCE INC, 217, pp. 137-149, ISSN: 0169-8095 |
op_relation |
Zhou, X. , Matthes, H. orcid:0000-0001-9913-7696 , Rinke, A. orcid:0000-0002-6685-9219 , Huang, B. , Zang, K. and Dethloff, K. orcid:0000-0003-4162-148X (2019) Simulating Arctic 2-m air temperature and its linear trends using the HIRHAM5 regional climate model , Atmospheric Research, 217 , pp. 137-149 . doi:10.1016/j.atmosres.2018.10.022 <https://doi.org/10.1016/j.atmosres.2018.10.022> , hdl:10013/epic.b1cf4740-de88-4640-8357-98122124b161 |
op_doi |
https://doi.org/10.1016/j.atmosres.2018.10.022 |
container_title |
Atmospheric Research |
container_volume |
217 |
container_start_page |
137 |
op_container_end_page |
149 |
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1766245401093996544 |