An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations
The representation of the marine boundary layer (BL) clouds remains a formidable challenge for state-of-the-art simulations. A recent study by Bodas-Salcedo et al. using the Met Office Unified Model highlights that the underprediction of the low/midlevel postfrontal clouds contributes to the largest...
Published in: | Monthly Weather Review |
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Other Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
American Meteorological Society
2014
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Subjects: | |
Online Access: | http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-278 https://doi.org/10.1175/MWR-D-13-00128.1 |
_version_ | 1821719301630984192 |
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author2 | Huang, Yi (author) Siems, Steven (author) Manton, Michael (author) Thompson, Gregory (author) |
collection | OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
container_issue | 2 |
container_start_page | 647 |
container_title | Monthly Weather Review |
container_volume | 142 |
description | The representation of the marine boundary layer (BL) clouds remains a formidable challenge for state-of-the-art simulations. A recent study by Bodas-Salcedo et al. using the Met Office Unified Model highlights that the underprediction of the low/midlevel postfrontal clouds contributes to the largest bias of the surface downwelling shortwave radiation over the Southern Ocean (SO). A-Train observations and limited in situ measurements have been used to evaluate the Weather Research and Forecasting Model, version 3.3.1 (WRFV3.3.1), in simulating the postfrontal clouds over Tasmania and the SO. The simulated cloud macro/microphysical properties are compared against the observations. Experiments are also undertaken to test the sensitivity of model resolution, microphysical (MP) schemes, planetary boundary layer (PBL) schemes, and cloud condensation nuclei (CCN) concentration. The simulations demonstrate a considerable level of skill in representing the clouds during the frontal passages and, to a lesser extent, in the postfrontal environment. The simulations, however, have great difficulties in portraying the widespread marine BL clouds that are not immediately associated with fronts. This shortcoming is persistent to the changes of model configuration and physical parameterization. The representation of large-scale conditions and their connections with the BL clouds are discussed. A lack of BL moisture is the most obvious explanation for the shortcoming, which may be a consequence of either strong entrainment or weak surface fluxes. It is speculated that the BL wind shear/turbulence may be an issue over the SO. More comprehensive observations are necessary to fully investigate the deficiency of the simulations. |
format | Article in Journal/Newspaper |
genre | Southern Ocean |
genre_facet | Southern Ocean |
geographic | Southern Ocean |
geographic_facet | Southern Ocean |
id | ftncar:oai:drupal-site.org:articles_13227 |
institution | Open Polar |
language | English |
op_collection_id | ftncar |
op_container_end_page | 667 |
op_doi | https://doi.org/10.1175/MWR-D-13-00128.1 |
op_relation | Monthly Weather Review http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-278 doi:10.1175/MWR-D-13-00128.1 ark:/85065/d7pn96jz |
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publishDate | 2014 |
publisher | American Meteorological Society |
record_format | openpolar |
spelling | ftncar:oai:drupal-site.org:articles_13227 2025-01-17T00:55:59+00:00 An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations Huang, Yi (author) Siems, Steven (author) Manton, Michael (author) Thompson, Gregory (author) 2014-02-01 application/pdf http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-278 https://doi.org/10.1175/MWR-D-13-00128.1 en eng American Meteorological Society Monthly Weather Review http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-278 doi:10.1175/MWR-D-13-00128.1 ark:/85065/d7pn96jz Copyright 2014 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work. Cloud microphysics Cloud retrieval Cloud water/phase Satellite observations Cloud parameterizations Model evaluation/performance Text article 2014 ftncar https://doi.org/10.1175/MWR-D-13-00128.1 2023-08-14T18:41:05Z The representation of the marine boundary layer (BL) clouds remains a formidable challenge for state-of-the-art simulations. A recent study by Bodas-Salcedo et al. using the Met Office Unified Model highlights that the underprediction of the low/midlevel postfrontal clouds contributes to the largest bias of the surface downwelling shortwave radiation over the Southern Ocean (SO). A-Train observations and limited in situ measurements have been used to evaluate the Weather Research and Forecasting Model, version 3.3.1 (WRFV3.3.1), in simulating the postfrontal clouds over Tasmania and the SO. The simulated cloud macro/microphysical properties are compared against the observations. Experiments are also undertaken to test the sensitivity of model resolution, microphysical (MP) schemes, planetary boundary layer (PBL) schemes, and cloud condensation nuclei (CCN) concentration. The simulations demonstrate a considerable level of skill in representing the clouds during the frontal passages and, to a lesser extent, in the postfrontal environment. The simulations, however, have great difficulties in portraying the widespread marine BL clouds that are not immediately associated with fronts. This shortcoming is persistent to the changes of model configuration and physical parameterization. The representation of large-scale conditions and their connections with the BL clouds are discussed. A lack of BL moisture is the most obvious explanation for the shortcoming, which may be a consequence of either strong entrainment or weak surface fluxes. It is speculated that the BL wind shear/turbulence may be an issue over the SO. More comprehensive observations are necessary to fully investigate the deficiency of the simulations. Article in Journal/Newspaper Southern Ocean OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Southern Ocean Monthly Weather Review 142 2 647 667 |
spellingShingle | Cloud microphysics Cloud retrieval Cloud water/phase Satellite observations Cloud parameterizations Model evaluation/performance An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations |
title | An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations |
title_full | An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations |
title_fullStr | An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations |
title_full_unstemmed | An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations |
title_short | An evaluation of WRF simulations of clouds over the southern ocean with A-Train observations |
title_sort | evaluation of wrf simulations of clouds over the southern ocean with a-train observations |
topic | Cloud microphysics Cloud retrieval Cloud water/phase Satellite observations Cloud parameterizations Model evaluation/performance |
topic_facet | Cloud microphysics Cloud retrieval Cloud water/phase Satellite observations Cloud parameterizations Model evaluation/performance |
url | http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-278 https://doi.org/10.1175/MWR-D-13-00128.1 |