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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/215283

id CONICETDig_69d9fd3e3c9b91379fcfcf9e25cbc74d
oai_identifier_str oai:ri.conicet.gov.ar:11336/215283
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journals.ametsoc.org/downloadpdf/journals/bams/aop/BAMS-D-21-0331.1/BAMS-D-21-0331.1.xml
info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-21-0331.1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Amer Meteorological Soc
publisher.none.fl_str_mv Amer Meteorological Soc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613556269481984
score 13.070432