Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign
International audience The performance of a set of atmospheric models and meteorological reanalyses in the representation of precipitation days in Antarctica is assessed using ground-based observations such as a precipitation gauge and a Micro Rain Radar during the Year Of Polar Prediction Special O...
Published in: | Quarterly Journal of the Royal Meteorological Society |
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Main Authors: | , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2023
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Subjects: | |
Online Access: | https://hal.science/hal-04087230 https://hal.science/hal-04087230/document https://hal.science/hal-04087230/file/Quart%20J%20Royal%20Meteoro%20Soc%20-%202023%20-%20Roussel%20-%20Assessing%20the%20simulation%20of%20snowfall%20at%20Dumont%20d%20Urville%20Antarctica%20during.pdf https://doi.org/10.1002/qj.4463 |
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ftecoleponts:oai:HAL:hal-04087230v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
École des Ponts ParisTech: HAL |
op_collection_id |
ftecoleponts |
language |
English |
topic |
Antarctica meteorology observations precipitation radar snowfall YOPP [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
spellingShingle |
Antarctica meteorology observations precipitation radar snowfall YOPP [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology Roussel, Marie‐laure Wiener, Valentin Genthon, Christophe Vignon, Etienne Bazile, Eric Agosta, Cécile Berne, Alexis Durán‐alarcón, Claudio Dufresne, Jean‐louis Claud, Chantal Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign |
topic_facet |
Antarctica meteorology observations precipitation radar snowfall YOPP [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
description |
International audience The performance of a set of atmospheric models and meteorological reanalyses in the representation of precipitation days in Antarctica is assessed using ground-based observations such as a precipitation gauge and a Micro Rain Radar during the Year Of Polar Prediction Special Observing Period at Dumont d'Urville (November 2018 - February 2019), East Antarctic coast. The occurrence of precipitation is overall well predicted but the number of days and intensity with snowfall are overestimated by the models. This is reflected by high values of bias, probability of detection and false alarm ratios, in particular for reanalyses, due to too frequent simulated precipitating days. The Heidke skill score shows the overall great contribution of the models in the forecasting of precipitating days, and the best performances are achieved by numerical weather prediction models. The chronology is better represented when the models benefit from the data assimilation of in-situ observations, such as in reanalysis or weather forecasting models. Precipitation amounts at the surface are overestimated by most of the models. In addition, data from a ground-based radar make it possible to evaluate the representation of the vertical profiles of snowfall rate. We can show that an excessive sublimation in the atmospheric boundary layer can compensate for overly strong precipitation flux in the mid and low troposphere. Therefore the need to expand the measurement of precipitation across the atmospheric column using radars is highlighted, in particular in Antarctica where the cold cloud microphysics is poorly known and observations are particularly rare. |
author2 |
Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) 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) Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Glaces et Continents, Climats et Isotopes Stables (GLACCIOS) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Environmental Remote Sensing Laboratory Lausanne Ecole Polytechnique Fédérale de Lausanne (EPFL) Centre for Environmental and Marine Studies Aveiro (CESAM) Universidade de Aveiro |
format |
Article in Journal/Newspaper |
author |
Roussel, Marie‐laure Wiener, Valentin Genthon, Christophe Vignon, Etienne Bazile, Eric Agosta, Cécile Berne, Alexis Durán‐alarcón, Claudio Dufresne, Jean‐louis Claud, Chantal |
author_facet |
Roussel, Marie‐laure Wiener, Valentin Genthon, Christophe Vignon, Etienne Bazile, Eric Agosta, Cécile Berne, Alexis Durán‐alarcón, Claudio Dufresne, Jean‐louis Claud, Chantal |
author_sort |
Roussel, Marie‐laure |
title |
Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign |
title_short |
Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign |
title_full |
Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign |
title_fullStr |
Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign |
title_full_unstemmed |
Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign |
title_sort |
assessing the simulation of snowfall at dumont d'urville, antarctica, during the yopp‐sh special observing campaign |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04087230 https://hal.science/hal-04087230/document https://hal.science/hal-04087230/file/Quart%20J%20Royal%20Meteoro%20Soc%20-%202023%20-%20Roussel%20-%20Assessing%20the%20simulation%20of%20snowfall%20at%20Dumont%20d%20Urville%20Antarctica%20during.pdf https://doi.org/10.1002/qj.4463 |
long_lat |
ENVELOPE(140.017,140.017,-66.667,-66.667) ENVELOPE(140.013,140.013,-66.667,-66.667) |
geographic |
Antarctic Dumont d'Urville Dumont-d'Urville |
geographic_facet |
Antarctic Dumont d'Urville Dumont-d'Urville |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
ISSN: 0035-9009 EISSN: 1477-870X Quarterly Journal of the Royal Meteorological Society https://hal.science/hal-04087230 Quarterly Journal of the Royal Meteorological Society, 2023, 149 (753), pp.1391-1406. ⟨10.1002/qj.4463⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1002/qj.4463 hal-04087230 https://hal.science/hal-04087230 https://hal.science/hal-04087230/document https://hal.science/hal-04087230/file/Quart%20J%20Royal%20Meteoro%20Soc%20-%202023%20-%20Roussel%20-%20Assessing%20the%20simulation%20of%20snowfall%20at%20Dumont%20d%20Urville%20Antarctica%20during.pdf doi:10.1002/qj.4463 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1002/qj.4463 |
container_title |
Quarterly Journal of the Royal Meteorological Society |
container_volume |
149 |
container_issue |
753 |
container_start_page |
1391 |
op_container_end_page |
1406 |
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1801378397630234624 |
spelling |
ftecoleponts:oai:HAL:hal-04087230v1 2024-06-09T07:39:16+00:00 Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP‐SH special observing campaign Roussel, Marie‐laure Wiener, Valentin Genthon, Christophe Vignon, Etienne Bazile, Eric Agosta, Cécile Berne, Alexis Durán‐alarcón, Claudio Dufresne, Jean‐louis Claud, Chantal Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) 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) Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Glaces et Continents, Climats et Isotopes Stables (GLACCIOS) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Environmental Remote Sensing Laboratory Lausanne Ecole Polytechnique Fédérale de Lausanne (EPFL) Centre for Environmental and Marine Studies Aveiro (CESAM) Universidade de Aveiro 2023 https://hal.science/hal-04087230 https://hal.science/hal-04087230/document https://hal.science/hal-04087230/file/Quart%20J%20Royal%20Meteoro%20Soc%20-%202023%20-%20Roussel%20-%20Assessing%20the%20simulation%20of%20snowfall%20at%20Dumont%20d%20Urville%20Antarctica%20during.pdf https://doi.org/10.1002/qj.4463 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1002/qj.4463 hal-04087230 https://hal.science/hal-04087230 https://hal.science/hal-04087230/document https://hal.science/hal-04087230/file/Quart%20J%20Royal%20Meteoro%20Soc%20-%202023%20-%20Roussel%20-%20Assessing%20the%20simulation%20of%20snowfall%20at%20Dumont%20d%20Urville%20Antarctica%20during.pdf doi:10.1002/qj.4463 info:eu-repo/semantics/OpenAccess ISSN: 0035-9009 EISSN: 1477-870X Quarterly Journal of the Royal Meteorological Society https://hal.science/hal-04087230 Quarterly Journal of the Royal Meteorological Society, 2023, 149 (753), pp.1391-1406. ⟨10.1002/qj.4463⟩ Antarctica meteorology observations precipitation radar snowfall YOPP [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology info:eu-repo/semantics/article Journal articles 2023 ftecoleponts https://doi.org/10.1002/qj.4463 2024-05-16T12:32:04Z International audience The performance of a set of atmospheric models and meteorological reanalyses in the representation of precipitation days in Antarctica is assessed using ground-based observations such as a precipitation gauge and a Micro Rain Radar during the Year Of Polar Prediction Special Observing Period at Dumont d'Urville (November 2018 - February 2019), East Antarctic coast. The occurrence of precipitation is overall well predicted but the number of days and intensity with snowfall are overestimated by the models. This is reflected by high values of bias, probability of detection and false alarm ratios, in particular for reanalyses, due to too frequent simulated precipitating days. The Heidke skill score shows the overall great contribution of the models in the forecasting of precipitating days, and the best performances are achieved by numerical weather prediction models. The chronology is better represented when the models benefit from the data assimilation of in-situ observations, such as in reanalysis or weather forecasting models. Precipitation amounts at the surface are overestimated by most of the models. In addition, data from a ground-based radar make it possible to evaluate the representation of the vertical profiles of snowfall rate. We can show that an excessive sublimation in the atmospheric boundary layer can compensate for overly strong precipitation flux in the mid and low troposphere. Therefore the need to expand the measurement of precipitation across the atmospheric column using radars is highlighted, in particular in Antarctica where the cold cloud microphysics is poorly known and observations are particularly rare. Article in Journal/Newspaper Antarc* Antarctic Antarctica École des Ponts ParisTech: HAL Antarctic Dumont d'Urville ENVELOPE(140.017,140.017,-66.667,-66.667) Dumont-d'Urville ENVELOPE(140.013,140.013,-66.667,-66.667) Quarterly Journal of the Royal Meteorological Society 149 753 1391 1406 |