New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data
Cloud observations from the CloudSat and CALIPSO satellites helped to explain the reduced total cloud cover (Ctot) in the atmospheric regional climate model HIRHAM5 with modified cloud physics. Arctic climate conditions are found to be better reproduced with (1) a more efficient Bergeron-Findeisen p...
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ftawi:oai:epic.awi.de:40796 2023-05-15T14:26:16+02:00 New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data Klaus, Daniel Dethloff, Klaus Dorn, Wolfgang Rinke, Annette Wu, D. L. 2016 https://epic.awi.de/id/eprint/40796/ https://hdl.handle.net/10013/epic.47786 unknown Klaus, D. , Dethloff, K. , Dorn, W. orcid:0000-0002-2071-9472 , Rinke, A. orcid:0000-0002-6685-9219 and Wu, D. L. (2016) New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data, , Geophysical Research Letters . doi:10.1002/2015GL067530 <https://doi.org/10.1002/2015GL067530> , hdl:10013/epic.47786 EPIC3Geophysical Research Letters Article peerRev 2016 ftawi https://doi.org/10.1002/2015GL067530 2021-12-24T15:41:32Z Cloud observations from the CloudSat and CALIPSO satellites helped to explain the reduced total cloud cover (Ctot) in the atmospheric regional climate model HIRHAM5 with modified cloud physics. Arctic climate conditions are found to be better reproduced with (1) a more efficient Bergeron-Findeisen process and (2) more generalized subgrid-scale variability of total water content. As a result, the annual cycle of Ctot is improved over sea ice, associated with an almost 14% smaller area average than in the control simulation. The modified cloud scheme reduces the Ctot bias with respect to the satellite observations. Except for autumn, the cloud reduction over sea ice improves low-level temperature profiles compared to drifting station data. The HIRHAM5 sensitivity study highlights the need for improving accuracy of low-level (< 700m) cloud observations, as these clouds exert a strong impact on the near-surface climate. Article in Journal/Newspaper Arctic Arctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Geophysical Research Letters 43 10 5450 5459 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
unknown |
description |
Cloud observations from the CloudSat and CALIPSO satellites helped to explain the reduced total cloud cover (Ctot) in the atmospheric regional climate model HIRHAM5 with modified cloud physics. Arctic climate conditions are found to be better reproduced with (1) a more efficient Bergeron-Findeisen process and (2) more generalized subgrid-scale variability of total water content. As a result, the annual cycle of Ctot is improved over sea ice, associated with an almost 14% smaller area average than in the control simulation. The modified cloud scheme reduces the Ctot bias with respect to the satellite observations. Except for autumn, the cloud reduction over sea ice improves low-level temperature profiles compared to drifting station data. The HIRHAM5 sensitivity study highlights the need for improving accuracy of low-level (< 700m) cloud observations, as these clouds exert a strong impact on the near-surface climate. |
format |
Article in Journal/Newspaper |
author |
Klaus, Daniel Dethloff, Klaus Dorn, Wolfgang Rinke, Annette Wu, D. L. |
spellingShingle |
Klaus, Daniel Dethloff, Klaus Dorn, Wolfgang Rinke, Annette Wu, D. L. New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data |
author_facet |
Klaus, Daniel Dethloff, Klaus Dorn, Wolfgang Rinke, Annette Wu, D. L. |
author_sort |
Klaus, Daniel |
title |
New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data |
title_short |
New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data |
title_full |
New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data |
title_fullStr |
New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data |
title_full_unstemmed |
New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data |
title_sort |
new insight of arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data |
publishDate |
2016 |
url |
https://epic.awi.de/id/eprint/40796/ https://hdl.handle.net/10013/epic.47786 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_source |
EPIC3Geophysical Research Letters |
op_relation |
Klaus, D. , Dethloff, K. , Dorn, W. orcid:0000-0002-2071-9472 , Rinke, A. orcid:0000-0002-6685-9219 and Wu, D. L. (2016) New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data, , Geophysical Research Letters . doi:10.1002/2015GL067530 <https://doi.org/10.1002/2015GL067530> , hdl:10013/epic.47786 |
op_doi |
https://doi.org/10.1002/2015GL067530 |
container_title |
Geophysical Research Letters |
container_volume |
43 |
container_issue |
10 |
container_start_page |
5450 |
op_container_end_page |
5459 |
_version_ |
1766298758612516864 |