Current challenges and future directions in data assimilation and reanalysis
- Autores
- Valmassoi, Arianna; Keller, Jan D.; Kleist, Daryl T.; English, Stephen; Ahrens, Bodo; Ďurán, Ivan Bašták; Bauernschubert, Elisabeth; Bosilovich, Michael G.; Fujiwara, Masatomo; Hersbach, Hans; Lei, Lili; Löhnert, Ulrich; Mamnun, Nabir; Martin, Cory R.; Moore, Andrew; Niermann, Deborah; Ruiz, Juan Jose; Scheck, Leonhard
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The first Joint WCRP1-WWRP2 Symposium on Data Assimilation and Reanalysis took place on13-17 September 2021, and it was organized in conjunction with the ECMWF Annual Seminaron observations. The last WCRP/WWRP-organized meetings were held separately for data assimilation and reanalysis in 2017 (Buizza et al. 2018; Cardinali et al. 2019). Since then, commonchallenges and new emerging topics have increased the need to bring these communities together toexchange new ideas and findings. Thus, a symposium involving the aforementioned communitieswas jointly organized by DWD3, HErZ4, WCRP, WWRP, and the ECMWF annual seminar. Majorgoals were to increase diversity, provide early career scientists with opportunities to present theirwork and extend their professional network, and bridge gaps between the various communities.The online format allowed more than 500 participants from over 50 countries to meet in avirtual setting, using the gathertown 5 platform as the central tool to access the meeting. A virtualconference center was created where people could freely move around and talk to other close-byparticipants. A lobby served as the main hub and it connected the poster halls and the conferencerooms for the oral presentations and the ECMWF seminar talks. The feedback from the participantswas overwhelmingly positive.Scientifically, the meeting offered opportunities to bring together the communities of Earth systemdata assimilation, reanalysis and observations to identify current challenges, seek opportunitiesfor collaboration, and strategic planning on more integrated systems for the longer term. Thecontributions totalled 140 oral and over 150 poster presentations covering a large variety oftopics with increased interest in Earth system approaches, machine learning and increased spatial resolutions. Key findings of the symposium and the ECMWF annual seminar are summarized insection 2. Section 3 highlights the common and emerging challenges of these communities.
Fil: Valmassoi, Arianna. Hans-ertel-centre For Weather Research; Alemania. Institut Fur Geowissenschaften ; Universitaet Bonn;
Fil: Keller, Jan D.. Deutscher Wetterdienst; Alemania
Fil: Kleist, Daryl T.. National Ocean And Atmospheric Administration; Estados Unidos
Fil: English, Stephen. European Center For Medium Range Weather Forecasting; Reino Unido
Fil: Ahrens, Bodo. Goethe Universitat Frankfurt; Alemania
Fil: Ďurán, Ivan Bašták. Goethe Universitat Frankfurt; Alemania
Fil: Bauernschubert, Elisabeth. Deutscher Wetterdienst; Alemania
Fil: Bosilovich, Michael G.. National Aeronautics and Space Administration; Estados Unidos
Fil: Fujiwara, Masatomo. Hokkaido University; Japón
Fil: Hersbach, Hans. European Center For Medium Range Weather Forecasting; Reino Unido
Fil: Lei, Lili. Nanjing University; China
Fil: Löhnert, Ulrich. University Of Cologne; Alemania
Fil: Mamnun, Nabir. Helmholtz Centre for Environmental Research; Alemania
Fil: Martin, Cory R.. German Research Centre for Geosciences; Alemania
Fil: Moore, Andrew. California State University; Estados Unidos
Fil: Niermann, Deborah. Deutscher Wetterdienst; Alemania
Fil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Scheck, Leonhard. Deutscher Wetterdienst; Alemania - Materia
-
COUPLED MODELS
DATA ASSIMILATION
MACHINE LEARNING
REANALYSIS DATA - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/215283
Ver los metadatos del registro completo
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Current challenges and future directions in data assimilation and reanalysisValmassoi, AriannaKeller, Jan D.Kleist, Daryl T.English, StephenAhrens, BodoĎurán, Ivan BaštákBauernschubert, ElisabethBosilovich, Michael G.Fujiwara, MasatomoHersbach, HansLei, LiliLöhnert, UlrichMamnun, NabirMartin, Cory R.Moore, AndrewNiermann, DeborahRuiz, Juan JoseScheck, LeonhardCOUPLED MODELSDATA ASSIMILATIONMACHINE LEARNINGREANALYSIS DATAhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The first Joint WCRP1-WWRP2 Symposium on Data Assimilation and Reanalysis took place on13-17 September 2021, and it was organized in conjunction with the ECMWF Annual Seminaron observations. The last WCRP/WWRP-organized meetings were held separately for data assimilation and reanalysis in 2017 (Buizza et al. 2018; Cardinali et al. 2019). Since then, commonchallenges and new emerging topics have increased the need to bring these communities together toexchange new ideas and findings. Thus, a symposium involving the aforementioned communitieswas jointly organized by DWD3, HErZ4, WCRP, WWRP, and the ECMWF annual seminar. Majorgoals were to increase diversity, provide early career scientists with opportunities to present theirwork and extend their professional network, and bridge gaps between the various communities.The online format allowed more than 500 participants from over 50 countries to meet in avirtual setting, using the gathertown 5 platform as the central tool to access the meeting. A virtualconference center was created where people could freely move around and talk to other close-byparticipants. A lobby served as the main hub and it connected the poster halls and the conferencerooms for the oral presentations and the ECMWF seminar talks. The feedback from the participantswas overwhelmingly positive.Scientifically, the meeting offered opportunities to bring together the communities of Earth systemdata assimilation, reanalysis and observations to identify current challenges, seek opportunitiesfor collaboration, and strategic planning on more integrated systems for the longer term. Thecontributions totalled 140 oral and over 150 poster presentations covering a large variety oftopics with increased interest in Earth system approaches, machine learning and increased spatial resolutions. Key findings of the symposium and the ECMWF annual seminar are summarized insection 2. Section 3 highlights the common and emerging challenges of these communities.Fil: Valmassoi, Arianna. Hans-ertel-centre For Weather Research; Alemania. Institut Fur Geowissenschaften ; Universitaet Bonn;Fil: Keller, Jan D.. Deutscher Wetterdienst; AlemaniaFil: Kleist, Daryl T.. National Ocean And Atmospheric Administration; Estados UnidosFil: English, Stephen. European Center For Medium Range Weather Forecasting; Reino UnidoFil: Ahrens, Bodo. Goethe Universitat Frankfurt; AlemaniaFil: Ďurán, Ivan Bašták. Goethe Universitat Frankfurt; AlemaniaFil: Bauernschubert, Elisabeth. Deutscher Wetterdienst; AlemaniaFil: Bosilovich, Michael G.. National Aeronautics and Space Administration; Estados UnidosFil: Fujiwara, Masatomo. Hokkaido University; JapónFil: Hersbach, Hans. European Center For Medium Range Weather Forecasting; Reino UnidoFil: Lei, Lili. Nanjing University; ChinaFil: Löhnert, Ulrich. University Of Cologne; AlemaniaFil: Mamnun, Nabir. Helmholtz Centre for Environmental Research; AlemaniaFil: Martin, Cory R.. German Research Centre for Geosciences; AlemaniaFil: Moore, Andrew. California State University; Estados UnidosFil: Niermann, Deborah. Deutscher Wetterdienst; AlemaniaFil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Scheck, Leonhard. Deutscher Wetterdienst; AlemaniaAmer Meteorological Soc2023-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215283Valmassoi, Arianna; Keller, Jan D.; Kleist, Daryl T.; English, Stephen; Ahrens, Bodo; et al.; Current challenges and future directions in data assimilation and reanalysis; Amer Meteorological Soc; Bulletin of The American Meteorological Society; 104; 4; 4-2023; 756-7670003-0007CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.ametsoc.org/downloadpdf/journals/bams/aop/BAMS-D-21-0331.1/BAMS-D-21-0331.1.xmlinfo:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-21-0331.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:50:30Zoai:ri.conicet.gov.ar:11336/215283instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:50:30.83CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Current challenges and future directions in data assimilation and reanalysis |
title |
Current challenges and future directions in data assimilation and reanalysis |
spellingShingle |
Current challenges and future directions in data assimilation and reanalysis Valmassoi, Arianna COUPLED MODELS DATA ASSIMILATION MACHINE LEARNING REANALYSIS DATA |
title_short |
Current challenges and future directions in data assimilation and reanalysis |
title_full |
Current challenges and future directions in data assimilation and reanalysis |
title_fullStr |
Current challenges and future directions in data assimilation and reanalysis |
title_full_unstemmed |
Current challenges and future directions in data assimilation and reanalysis |
title_sort |
Current challenges and future directions in data assimilation and reanalysis |
dc.creator.none.fl_str_mv |
Valmassoi, Arianna Keller, Jan D. Kleist, Daryl T. English, Stephen Ahrens, Bodo Ďurán, Ivan Bašták Bauernschubert, Elisabeth Bosilovich, Michael G. Fujiwara, Masatomo Hersbach, Hans Lei, Lili Löhnert, Ulrich Mamnun, Nabir Martin, Cory R. Moore, Andrew Niermann, Deborah Ruiz, Juan Jose Scheck, Leonhard |
author |
Valmassoi, Arianna |
author_facet |
Valmassoi, Arianna Keller, Jan D. Kleist, Daryl T. English, Stephen Ahrens, Bodo Ďurán, Ivan Bašták Bauernschubert, Elisabeth Bosilovich, Michael G. Fujiwara, Masatomo Hersbach, Hans Lei, Lili Löhnert, Ulrich Mamnun, Nabir Martin, Cory R. Moore, Andrew Niermann, Deborah Ruiz, Juan Jose Scheck, Leonhard |
author_role |
author |
author2 |
Keller, Jan D. Kleist, Daryl T. English, Stephen Ahrens, Bodo Ďurán, Ivan Bašták Bauernschubert, Elisabeth Bosilovich, Michael G. Fujiwara, Masatomo Hersbach, Hans Lei, Lili Löhnert, Ulrich Mamnun, Nabir Martin, Cory R. Moore, Andrew Niermann, Deborah Ruiz, Juan Jose Scheck, Leonhard |
author2_role |
author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
COUPLED MODELS DATA ASSIMILATION MACHINE LEARNING REANALYSIS DATA |
topic |
COUPLED MODELS DATA ASSIMILATION MACHINE LEARNING REANALYSIS DATA |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The first Joint WCRP1-WWRP2 Symposium on Data Assimilation and Reanalysis took place on13-17 September 2021, and it was organized in conjunction with the ECMWF Annual Seminaron observations. The last WCRP/WWRP-organized meetings were held separately for data assimilation and reanalysis in 2017 (Buizza et al. 2018; Cardinali et al. 2019). Since then, commonchallenges and new emerging topics have increased the need to bring these communities together toexchange new ideas and findings. Thus, a symposium involving the aforementioned communitieswas jointly organized by DWD3, HErZ4, WCRP, WWRP, and the ECMWF annual seminar. Majorgoals were to increase diversity, provide early career scientists with opportunities to present theirwork and extend their professional network, and bridge gaps between the various communities.The online format allowed more than 500 participants from over 50 countries to meet in avirtual setting, using the gathertown 5 platform as the central tool to access the meeting. A virtualconference center was created where people could freely move around and talk to other close-byparticipants. A lobby served as the main hub and it connected the poster halls and the conferencerooms for the oral presentations and the ECMWF seminar talks. The feedback from the participantswas overwhelmingly positive.Scientifically, the meeting offered opportunities to bring together the communities of Earth systemdata assimilation, reanalysis and observations to identify current challenges, seek opportunitiesfor collaboration, and strategic planning on more integrated systems for the longer term. Thecontributions totalled 140 oral and over 150 poster presentations covering a large variety oftopics with increased interest in Earth system approaches, machine learning and increased spatial resolutions. Key findings of the symposium and the ECMWF annual seminar are summarized insection 2. Section 3 highlights the common and emerging challenges of these communities. Fil: Valmassoi, Arianna. Hans-ertel-centre For Weather Research; Alemania. Institut Fur Geowissenschaften ; Universitaet Bonn; Fil: Keller, Jan D.. Deutscher Wetterdienst; Alemania Fil: Kleist, Daryl T.. National Ocean And Atmospheric Administration; Estados Unidos Fil: English, Stephen. European Center For Medium Range Weather Forecasting; Reino Unido Fil: Ahrens, Bodo. Goethe Universitat Frankfurt; Alemania Fil: Ďurán, Ivan Bašták. Goethe Universitat Frankfurt; Alemania Fil: Bauernschubert, Elisabeth. Deutscher Wetterdienst; Alemania Fil: Bosilovich, Michael G.. National Aeronautics and Space Administration; Estados Unidos Fil: Fujiwara, Masatomo. Hokkaido University; Japón Fil: Hersbach, Hans. European Center For Medium Range Weather Forecasting; Reino Unido Fil: Lei, Lili. Nanjing University; China Fil: Löhnert, Ulrich. University Of Cologne; Alemania Fil: Mamnun, Nabir. Helmholtz Centre for Environmental Research; Alemania Fil: Martin, Cory R.. German Research Centre for Geosciences; Alemania Fil: Moore, Andrew. California State University; Estados Unidos Fil: Niermann, Deborah. Deutscher Wetterdienst; Alemania Fil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina Fil: Scheck, Leonhard. Deutscher Wetterdienst; Alemania |
description |
The first Joint WCRP1-WWRP2 Symposium on Data Assimilation and Reanalysis took place on13-17 September 2021, and it was organized in conjunction with the ECMWF Annual Seminaron observations. The last WCRP/WWRP-organized meetings were held separately for data assimilation and reanalysis in 2017 (Buizza et al. 2018; Cardinali et al. 2019). Since then, commonchallenges and new emerging topics have increased the need to bring these communities together toexchange new ideas and findings. Thus, a symposium involving the aforementioned communitieswas jointly organized by DWD3, HErZ4, WCRP, WWRP, and the ECMWF annual seminar. Majorgoals were to increase diversity, provide early career scientists with opportunities to present theirwork and extend their professional network, and bridge gaps between the various communities.The online format allowed more than 500 participants from over 50 countries to meet in avirtual setting, using the gathertown 5 platform as the central tool to access the meeting. A virtualconference center was created where people could freely move around and talk to other close-byparticipants. A lobby served as the main hub and it connected the poster halls and the conferencerooms for the oral presentations and the ECMWF seminar talks. The feedback from the participantswas overwhelmingly positive.Scientifically, the meeting offered opportunities to bring together the communities of Earth systemdata assimilation, reanalysis and observations to identify current challenges, seek opportunitiesfor collaboration, and strategic planning on more integrated systems for the longer term. Thecontributions totalled 140 oral and over 150 poster presentations covering a large variety oftopics with increased interest in Earth system approaches, machine learning and increased spatial resolutions. Key findings of the symposium and the ECMWF annual seminar are summarized insection 2. Section 3 highlights the common and emerging challenges of these communities. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/215283 Valmassoi, Arianna; Keller, Jan D.; Kleist, Daryl T.; English, Stephen; Ahrens, Bodo; et al.; Current challenges and future directions in data assimilation and reanalysis; Amer Meteorological Soc; Bulletin of The American Meteorological Society; 104; 4; 4-2023; 756-767 0003-0007 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/215283 |
identifier_str_mv |
Valmassoi, Arianna; Keller, Jan D.; Kleist, Daryl T.; English, Stephen; Ahrens, Bodo; et al.; Current challenges and future directions in data assimilation and reanalysis; Amer Meteorological Soc; Bulletin of The American Meteorological Society; 104; 4; 4-2023; 756-767 0003-0007 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by/2.5/ar/ |
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Amer Meteorological Soc |
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Amer Meteorological Soc |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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