Observation impact over the southern polar area during the Concordiasi field campaign
International audience The impact of observations on analysis uncertainty and forecast performance was investigated for austral spring 2010 over the southern polar area for four different systems (NRL, GMAO, ECMWF and Météo-France) at the time of the Concordiasi field experiment. The largest multi-m...
Published in: | Quarterly Journal of the Royal Meteorological Society |
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Main Authors: | , , , , , , , |
Other Authors: | , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2016
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Online Access: | https://meteofrance.hal.science/meteo-02880232 https://meteofrance.hal.science/meteo-02880232/document https://meteofrance.hal.science/meteo-02880232/file/qj.2470.pdf https://doi.org/10.1002/qj.2470 |
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ftinsu:oai:HAL:meteo-02880232v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
dropsondes forecast sensitivity to observations observing-system experiment forecast score [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
dropsondes forecast sensitivity to observations observing-system experiment forecast score [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Boullot, Nathalie Rabier, Florence Langland, Rolf Gelaro, Ron Cardinali, Carla Guidard, Vincent Bauer, Peter Doerenbecher, Alexis Observation impact over the southern polar area during the Concordiasi field campaign |
topic_facet |
dropsondes forecast sensitivity to observations observing-system experiment forecast score [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience The impact of observations on analysis uncertainty and forecast performance was investigated for austral spring 2010 over the southern polar area for four different systems (NRL, GMAO, ECMWF and Météo-France) at the time of the Concordiasi field experiment. The largest multi-model variance in 500 hPa height analyses is found in the southern sub-Antarctic oceanic region, where there are rapidly evolving weather systems, rapid forecast-error growth, and fewer upper-air wind observation data to constrain the analyses. The total impact of all observations on the model forecast was computed using the 24 h forecast sensitivity-to-observations diagnostic. Observation types that contribute most to the reduction of the forecast error are shown to be AMSU, IASI, AIRS, GPS-RO, radiosonde, surface and atmospheric motion vector observations. For sounding data, radiosondes and dropsondes, one can note a large impact on the analysis and forecasts of temperature at low levels and a large impact of wind at high levels. Observing system experiments using the Concordiasi dropsondes show a large impact of the observations over the Antarctic plateau extending to lower latitudes with the forecast range, with the largest impact around 50-70 • S. These experiments indicate there is a potential benefit from using radiance data better over land and sea-ice and from innovative atmospheric motion vectors obtained from a combination of various satellites to fill the current data gaps and improve numerical weather prediction analyses in this region. |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) European Centre for Medium-Range Weather Forecasts (ECMWF) Naval Research Laboratory (NRL) Global Modeling and Assimilation Office (GMAO) NASA Goddard Space Flight Center (GSFC) |
format |
Article in Journal/Newspaper |
author |
Boullot, Nathalie Rabier, Florence Langland, Rolf Gelaro, Ron Cardinali, Carla Guidard, Vincent Bauer, Peter Doerenbecher, Alexis |
author_facet |
Boullot, Nathalie Rabier, Florence Langland, Rolf Gelaro, Ron Cardinali, Carla Guidard, Vincent Bauer, Peter Doerenbecher, Alexis |
author_sort |
Boullot, Nathalie |
title |
Observation impact over the southern polar area during the Concordiasi field campaign |
title_short |
Observation impact over the southern polar area during the Concordiasi field campaign |
title_full |
Observation impact over the southern polar area during the Concordiasi field campaign |
title_fullStr |
Observation impact over the southern polar area during the Concordiasi field campaign |
title_full_unstemmed |
Observation impact over the southern polar area during the Concordiasi field campaign |
title_sort |
observation impact over the southern polar area during the concordiasi field campaign |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://meteofrance.hal.science/meteo-02880232 https://meteofrance.hal.science/meteo-02880232/document https://meteofrance.hal.science/meteo-02880232/file/qj.2470.pdf https://doi.org/10.1002/qj.2470 |
geographic |
Antarctic Austral The Antarctic |
geographic_facet |
Antarctic Austral The Antarctic |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
ISSN: 0035-9009 EISSN: 1477-870X Quarterly Journal of the Royal Meteorological Society https://meteofrance.hal.science/meteo-02880232 Quarterly Journal of the Royal Meteorological Society, 2016, 142, pp.597 - 610. ⟨10.1002/qj.2470⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1002/qj.2470 meteo-02880232 https://meteofrance.hal.science/meteo-02880232 https://meteofrance.hal.science/meteo-02880232/document https://meteofrance.hal.science/meteo-02880232/file/qj.2470.pdf doi:10.1002/qj.2470 |
op_rights |
http://creativecommons.org/licenses/by-nc-sa/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1002/qj.2470 |
container_title |
Quarterly Journal of the Royal Meteorological Society |
container_volume |
142 |
container_issue |
695 |
container_start_page |
597 |
op_container_end_page |
610 |
_version_ |
1785582090616569856 |
spelling |
ftinsu:oai:HAL:meteo-02880232v1 2023-12-17T10:19:15+01:00 Observation impact over the southern polar area during the Concordiasi field campaign Boullot, Nathalie Rabier, Florence Langland, Rolf Gelaro, Ron Cardinali, Carla Guidard, Vincent Bauer, Peter Doerenbecher, Alexis Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) European Centre for Medium-Range Weather Forecasts (ECMWF) Naval Research Laboratory (NRL) Global Modeling and Assimilation Office (GMAO) NASA Goddard Space Flight Center (GSFC) 2016 https://meteofrance.hal.science/meteo-02880232 https://meteofrance.hal.science/meteo-02880232/document https://meteofrance.hal.science/meteo-02880232/file/qj.2470.pdf https://doi.org/10.1002/qj.2470 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1002/qj.2470 meteo-02880232 https://meteofrance.hal.science/meteo-02880232 https://meteofrance.hal.science/meteo-02880232/document https://meteofrance.hal.science/meteo-02880232/file/qj.2470.pdf doi:10.1002/qj.2470 http://creativecommons.org/licenses/by-nc-sa/ info:eu-repo/semantics/OpenAccess ISSN: 0035-9009 EISSN: 1477-870X Quarterly Journal of the Royal Meteorological Society https://meteofrance.hal.science/meteo-02880232 Quarterly Journal of the Royal Meteorological Society, 2016, 142, pp.597 - 610. ⟨10.1002/qj.2470⟩ dropsondes forecast sensitivity to observations observing-system experiment forecast score [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2016 ftinsu https://doi.org/10.1002/qj.2470 2023-11-22T17:35:13Z International audience The impact of observations on analysis uncertainty and forecast performance was investigated for austral spring 2010 over the southern polar area for four different systems (NRL, GMAO, ECMWF and Météo-France) at the time of the Concordiasi field experiment. The largest multi-model variance in 500 hPa height analyses is found in the southern sub-Antarctic oceanic region, where there are rapidly evolving weather systems, rapid forecast-error growth, and fewer upper-air wind observation data to constrain the analyses. The total impact of all observations on the model forecast was computed using the 24 h forecast sensitivity-to-observations diagnostic. Observation types that contribute most to the reduction of the forecast error are shown to be AMSU, IASI, AIRS, GPS-RO, radiosonde, surface and atmospheric motion vector observations. For sounding data, radiosondes and dropsondes, one can note a large impact on the analysis and forecasts of temperature at low levels and a large impact of wind at high levels. Observing system experiments using the Concordiasi dropsondes show a large impact of the observations over the Antarctic plateau extending to lower latitudes with the forecast range, with the largest impact around 50-70 • S. These experiments indicate there is a potential benefit from using radiance data better over land and sea-ice and from innovative atmospheric motion vectors obtained from a combination of various satellites to fill the current data gaps and improve numerical weather prediction analyses in this region. Article in Journal/Newspaper Antarc* Antarctic Sea ice Institut national des sciences de l'Univers: HAL-INSU Antarctic Austral The Antarctic Quarterly Journal of the Royal Meteorological Society 142 695 597 610 |