Current and emerging developments in subseasonal to decadal prediction
- Autores
- Merryfield, William J.; Baehr, Johanna; Batté, Lauriane; Becker, Emily J.; Butler, Amy H.; Coelho, Caio A.S.; Danabasoglu, Gokhan; Dirmeyer, Paul A.; Doblasreyes, Francisco; Domeisen, Daniela I.V.; Ferranti, Laura; Ilynia, Tatiana; Kumar, Arun; Müller, Wolfgang A.; Rixen, Michel; Robertson, Andrew W.; Smith, Doug M.; Takaya, Yuhei; Tuma, Matthias; Vitart, Frederic; White, Christopher J.; Alvarez, Mariano Sebastián; Ardilouze, Constantin; Attard, Hannah; Baggett, Cory; Balmaseda, Magdalena A.; Beraki, Asmerom F.; Bhattacharjee, Partha S.; Bilbao, Roberto; De Andrade, Felipe M.; DeFlorio, Michael J.; Díaz, Leandro Baltasar; Ehsan, Muhammad Azhar; Fragkoulidis, Georgios; Grainger, Sam; Green, Benjamin W.; Hell, Momme C.; Infanti, Johnna M.; Isensee, Katharina; Kataoka, Takahito; Kirtman, Ben P.; Klingaman, Nicholas P.; Lee, June Yi; Mayer, Kirsten; McKay, Roseanna; Mecking, Jennifer V.; Miller, Douglas E.; Neddermann, Nele; Ng, Ching Ho Justin; Ossó, Albert; Pankatz, Klaus; Peatman, Simon; Pegion, Kathy; Perlwitz, Judith; Recalde Coronel, G. Cristina; Reintges, Annika; Renkl, Christoph; Solaraju-Murali, Balakrishnan; Spring, Aaron; Stan, Cristiana; Sun, Y. Qiang; Tozer, Carly R.; Vigaud, Nicolas; Woolnough, Steven; Yeager, Stephen
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in developing forecasts to improve our foreknowledge of extreme events. On subseasonal to seasonal (S2S) time scales, these include high-impact meteorological events such as tropical cyclones, extratropical storms, floods, droughts, and heat and cold waves. On seasonal to decadal (S2D) time scales, while the focus broadly remains similar (e.g., on precipitation, surface and upper-ocean temperatures, and their effects on the probabilities of high-impact meteorological events), understanding the roles of internal variability and externally forced variability such as anthropogenic warming in forecasts also becomes important. The S2S and S2D communities share common scientific and technical challenges. These include forecast initialization and ensemble generation; initialization shock and drift; understanding the onset of model systematic errors; bias correction, calibration, and forecast quality assessment; model resolution; atmosphere-ocean coupling; sources and expectations for predictability; and linking research, operational forecasting, and end-user needs. In September 2018 a coordinated pair of international conferences, framed by the above challenges, was organized jointly by the World Climate Research Programme (WCRP) and the World Weather Research Programme (WWRP). These conferences surveyed the state of S2S and S2D prediction, ongoing research, and future needs, providing an ideal basis for synthesizing current and emerging developments in these areas that promise to enhance future operational services. This article provides such a synthesis.
Fil: Merryfield, William J.. Canadian Centre For Climate Modelling And Analysis; Canadá
Fil: Baehr, Johanna. Universitat Hamburg; Alemania
Fil: Batté, Lauriane. Centre National de Recherches Météorologiques; Francia
Fil: Becker, Emily J.. No especifíca;
Fil: Butler, Amy H.. State University of Colorado at Boulder; Estados Unidos
Fil: Coelho, Caio A.S.. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Danabasoglu, Gokhan. National Center for Atmospheric Research; Estados Unidos
Fil: Dirmeyer, Paul A.. No especifíca;
Fil: Doblasreyes, Francisco. No especifíca;
Fil: Domeisen, Daniela I.V.. No especifíca;
Fil: Ferranti, Laura. No especifíca;
Fil: Ilynia, Tatiana. No especifíca;
Fil: Kumar, Arun. No especifíca;
Fil: Müller, Wolfgang A.. No especifíca;
Fil: Rixen, Michel. World Meteorological Organization; Estados Unidos
Fil: Robertson, Andrew W.. International Research Institute For Climate And Society; Estados Unidos
Fil: Smith, Doug M.. No especifíca;
Fil: Takaya, Yuhei. Japan Meteorological Agency; Japón
Fil: Tuma, Matthias. World Meteorological Organization; Estados Unidos
Fil: Vitart, Frederic. No especifíca;
Fil: White, Christopher J.. University of Strathclyde; Reino Unido
Fil: Alvarez, Mariano Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. 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: Ardilouze, Constantin. No especifíca;
Fil: Attard, Hannah. No especifíca;
Fil: Baggett, Cory. State University of Colorado - Fort Collins; Estados Unidos
Fil: Balmaseda, Magdalena A.. No especifíca;
Fil: Beraki, Asmerom F.. University Of Pretoria; Sudáfrica
Fil: Bhattacharjee, Partha S.. National Oceanic And Atmospheric Administration; Estados Unidos
Fil: Bilbao, Roberto. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España
Fil: De Andrade, Felipe M.. University of Reading; Reino Unido
Fil: DeFlorio, Michael J.. No especifíca;
Fil: Díaz, Leandro Baltasar. 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: Ehsan, Muhammad Azhar. The Abdus Salam. International Centre for Theoretical Physics; Italia. The Abdus Salam; Italia
Fil: Fragkoulidis, Georgios. Johannes Gutenberg Universitat Mainz; Alemania
Fil: Grainger, Sam. No especifíca;
Fil: Green, Benjamin W.. State University of Colorado at Boulder; Estados Unidos
Fil: Hell, Momme C.. No especifíca;
Fil: Infanti, Johnna M.. National Oceanic And Atmospheric Administration; Estados Unidos
Fil: Isensee, Katharina. No especifíca;
Fil: Kataoka, Takahito. No especifíca;
Fil: Kirtman, Ben P.. No especifíca;
Fil: Klingaman, Nicholas P.. University of Reading; Reino Unido
Fil: Lee, June Yi. Pusan National University; Corea del Sur
Fil: Mayer, Kirsten. State University of Colorado at Boulder; Estados Unidos
Fil: McKay, Roseanna. Monash University; Australia
Fil: Mecking, Jennifer V.. University of Southampton; Reino Unido
Fil: Miller, Douglas E.. University of Illinois. Urbana - Champaign; Estados Unidos
Fil: Neddermann, Nele. No especifíca;
Fil: Ng, Ching Ho Justin. University of Princeton; Estados Unidos
Fil: Ossó, Albert. University of Graz; Austria
Fil: Pankatz, Klaus. Max Planck Institute For Meteorology; Estados Unidos
Fil: Peatman, Simon. No especifíca;
Fil: Pegion, Kathy. George Mason University; Estados Unidos
Fil: Perlwitz, Judith. State University of Colorado at Boulder; Estados Unidos
Fil: Recalde Coronel, G. Cristina. Escuela Superior Politecnica del Litoral ; Ecuador
Fil: Reintges, Annika. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania
Fil: Renkl, Christoph. Dalhousie University Halifax; Canadá
Fil: Solaraju-Murali, Balakrishnan. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España
Fil: Spring, Aaron. No especifíca;
Fil: Stan, Cristiana. George Mason University; Estados Unidos
Fil: Sun, Y. Qiang. University of Princeton; Estados Unidos
Fil: Tozer, Carly R.. No especifíca;
Fil: Vigaud, Nicolas. No especifíca;
Fil: Woolnough, Steven. University of Reading; Reino Unido
Fil: Yeager, Stephen. National Center for Atmospheric Research; Estados Unidos - Materia
-
subseasonal
decadal
prediction - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/150980
Ver los metadatos del registro completo
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Current and emerging developments in subseasonal to decadal predictionMerryfield, William J.Baehr, JohannaBatté, LaurianeBecker, Emily J.Butler, Amy H.Coelho, Caio A.S.Danabasoglu, GokhanDirmeyer, Paul A.Doblasreyes, FranciscoDomeisen, Daniela I.V.Ferranti, LauraIlynia, TatianaKumar, ArunMüller, Wolfgang A.Rixen, MichelRobertson, Andrew W.Smith, Doug M.Takaya, YuheiTuma, MatthiasVitart, FredericWhite, Christopher J.Alvarez, Mariano SebastiánArdilouze, ConstantinAttard, HannahBaggett, CoryBalmaseda, Magdalena A.Beraki, Asmerom F.Bhattacharjee, Partha S.Bilbao, RobertoDe Andrade, Felipe M.DeFlorio, Michael J.Díaz, Leandro BaltasarEhsan, Muhammad AzharFragkoulidis, GeorgiosGrainger, SamGreen, Benjamin W.Hell, Momme C.Infanti, Johnna M.Isensee, KatharinaKataoka, TakahitoKirtman, Ben P.Klingaman, Nicholas P.Lee, June YiMayer, KirstenMcKay, RoseannaMecking, Jennifer V.Miller, Douglas E.Neddermann, NeleNg, Ching Ho JustinOssó, AlbertPankatz, KlausPeatman, SimonPegion, KathyPerlwitz, JudithRecalde Coronel, G. CristinaReintges, AnnikaRenkl, ChristophSolaraju-Murali, BalakrishnanSpring, AaronStan, CristianaSun, Y. QiangTozer, Carly R.Vigaud, NicolasWoolnough, StevenYeager, Stephensubseasonaldecadalpredictionhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in developing forecasts to improve our foreknowledge of extreme events. On subseasonal to seasonal (S2S) time scales, these include high-impact meteorological events such as tropical cyclones, extratropical storms, floods, droughts, and heat and cold waves. On seasonal to decadal (S2D) time scales, while the focus broadly remains similar (e.g., on precipitation, surface and upper-ocean temperatures, and their effects on the probabilities of high-impact meteorological events), understanding the roles of internal variability and externally forced variability such as anthropogenic warming in forecasts also becomes important. The S2S and S2D communities share common scientific and technical challenges. These include forecast initialization and ensemble generation; initialization shock and drift; understanding the onset of model systematic errors; bias correction, calibration, and forecast quality assessment; model resolution; atmosphere-ocean coupling; sources and expectations for predictability; and linking research, operational forecasting, and end-user needs. In September 2018 a coordinated pair of international conferences, framed by the above challenges, was organized jointly by the World Climate Research Programme (WCRP) and the World Weather Research Programme (WWRP). These conferences surveyed the state of S2S and S2D prediction, ongoing research, and future needs, providing an ideal basis for synthesizing current and emerging developments in these areas that promise to enhance future operational services. This article provides such a synthesis.Fil: Merryfield, William J.. Canadian Centre For Climate Modelling And Analysis; CanadáFil: Baehr, Johanna. Universitat Hamburg; AlemaniaFil: Batté, Lauriane. Centre National de Recherches Météorologiques; FranciaFil: Becker, Emily J.. No especifíca;Fil: Butler, Amy H.. State University of Colorado at Boulder; Estados UnidosFil: Coelho, Caio A.S.. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Danabasoglu, Gokhan. National Center for Atmospheric Research; Estados UnidosFil: Dirmeyer, Paul A.. No especifíca;Fil: Doblasreyes, Francisco. No especifíca;Fil: Domeisen, Daniela I.V.. No especifíca;Fil: Ferranti, Laura. No especifíca;Fil: Ilynia, Tatiana. No especifíca;Fil: Kumar, Arun. No especifíca;Fil: Müller, Wolfgang A.. No especifíca;Fil: Rixen, Michel. World Meteorological Organization; Estados UnidosFil: Robertson, Andrew W.. International Research Institute For Climate And Society; Estados UnidosFil: Smith, Doug M.. No especifíca;Fil: Takaya, Yuhei. Japan Meteorological Agency; JapónFil: Tuma, Matthias. World Meteorological Organization; Estados UnidosFil: Vitart, Frederic. No especifíca;Fil: White, Christopher J.. University of Strathclyde; Reino UnidoFil: Alvarez, Mariano Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. 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: Ardilouze, Constantin. No especifíca;Fil: Attard, Hannah. No especifíca;Fil: Baggett, Cory. State University of Colorado - Fort Collins; Estados UnidosFil: Balmaseda, Magdalena A.. No especifíca;Fil: Beraki, Asmerom F.. University Of Pretoria; SudáfricaFil: Bhattacharjee, Partha S.. National Oceanic And Atmospheric Administration; Estados UnidosFil: Bilbao, Roberto. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; EspañaFil: De Andrade, Felipe M.. University of Reading; Reino UnidoFil: DeFlorio, Michael J.. No especifíca;Fil: Díaz, Leandro Baltasar. 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: Ehsan, Muhammad Azhar. The Abdus Salam. International Centre for Theoretical Physics; Italia. The Abdus Salam; ItaliaFil: Fragkoulidis, Georgios. Johannes Gutenberg Universitat Mainz; AlemaniaFil: Grainger, Sam. No especifíca;Fil: Green, Benjamin W.. State University of Colorado at Boulder; Estados UnidosFil: Hell, Momme C.. No especifíca;Fil: Infanti, Johnna M.. National Oceanic And Atmospheric Administration; Estados UnidosFil: Isensee, Katharina. No especifíca;Fil: Kataoka, Takahito. No especifíca;Fil: Kirtman, Ben P.. No especifíca;Fil: Klingaman, Nicholas P.. University of Reading; Reino UnidoFil: Lee, June Yi. Pusan National University; Corea del SurFil: Mayer, Kirsten. State University of Colorado at Boulder; Estados UnidosFil: McKay, Roseanna. Monash University; AustraliaFil: Mecking, Jennifer V.. University of Southampton; Reino UnidoFil: Miller, Douglas E.. University of Illinois. Urbana - Champaign; Estados UnidosFil: Neddermann, Nele. No especifíca;Fil: Ng, Ching Ho Justin. University of Princeton; Estados UnidosFil: Ossó, Albert. University of Graz; AustriaFil: Pankatz, Klaus. Max Planck Institute For Meteorology; Estados UnidosFil: Peatman, Simon. No especifíca;Fil: Pegion, Kathy. George Mason University; Estados UnidosFil: Perlwitz, Judith. State University of Colorado at Boulder; Estados UnidosFil: Recalde Coronel, G. Cristina. Escuela Superior Politecnica del Litoral ; EcuadorFil: Reintges, Annika. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaFil: Renkl, Christoph. Dalhousie University Halifax; CanadáFil: Solaraju-Murali, Balakrishnan. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; EspañaFil: Spring, Aaron. No especifíca;Fil: Stan, Cristiana. George Mason University; Estados UnidosFil: Sun, Y. Qiang. University of Princeton; Estados UnidosFil: Tozer, Carly R.. No especifíca;Fil: Vigaud, Nicolas. No especifíca;Fil: Woolnough, Steven. University of Reading; Reino UnidoFil: Yeager, Stephen. National Center for Atmospheric Research; Estados UnidosAmerican Meteorological Society2020-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150980Merryfield, William J.; Baehr, Johanna; Batté, Lauriane; Becker, Emily J.; Butler, Amy H.; et al.; Current and emerging developments in subseasonal to decadal prediction; American Meteorological Society; Bulletin of The American Meteorological Society; 101; 6; 6-2020; E869-E8960003-0007CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://journals.ametsoc.org/doi/10.1175/BAMS-D-19-0037.1info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-19-0037.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:46Zoai:ri.conicet.gov.ar:11336/150980instacron: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:34982025-09-03 10:06:46.506CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Current and emerging developments in subseasonal to decadal prediction |
title |
Current and emerging developments in subseasonal to decadal prediction |
spellingShingle |
Current and emerging developments in subseasonal to decadal prediction Merryfield, William J. subseasonal decadal prediction |
title_short |
Current and emerging developments in subseasonal to decadal prediction |
title_full |
Current and emerging developments in subseasonal to decadal prediction |
title_fullStr |
Current and emerging developments in subseasonal to decadal prediction |
title_full_unstemmed |
Current and emerging developments in subseasonal to decadal prediction |
title_sort |
Current and emerging developments in subseasonal to decadal prediction |
dc.creator.none.fl_str_mv |
Merryfield, William J. Baehr, Johanna Batté, Lauriane Becker, Emily J. Butler, Amy H. Coelho, Caio A.S. Danabasoglu, Gokhan Dirmeyer, Paul A. Doblasreyes, Francisco Domeisen, Daniela I.V. Ferranti, Laura Ilynia, Tatiana Kumar, Arun Müller, Wolfgang A. Rixen, Michel Robertson, Andrew W. Smith, Doug M. Takaya, Yuhei Tuma, Matthias Vitart, Frederic White, Christopher J. Alvarez, Mariano Sebastián Ardilouze, Constantin Attard, Hannah Baggett, Cory Balmaseda, Magdalena A. Beraki, Asmerom F. Bhattacharjee, Partha S. Bilbao, Roberto De Andrade, Felipe M. DeFlorio, Michael J. Díaz, Leandro Baltasar Ehsan, Muhammad Azhar Fragkoulidis, Georgios Grainger, Sam Green, Benjamin W. Hell, Momme C. Infanti, Johnna M. Isensee, Katharina Kataoka, Takahito Kirtman, Ben P. Klingaman, Nicholas P. Lee, June Yi Mayer, Kirsten McKay, Roseanna Mecking, Jennifer V. Miller, Douglas E. Neddermann, Nele Ng, Ching Ho Justin Ossó, Albert Pankatz, Klaus Peatman, Simon Pegion, Kathy Perlwitz, Judith Recalde Coronel, G. Cristina Reintges, Annika Renkl, Christoph Solaraju-Murali, Balakrishnan Spring, Aaron Stan, Cristiana Sun, Y. Qiang Tozer, Carly R. Vigaud, Nicolas Woolnough, Steven Yeager, Stephen |
author |
Merryfield, William J. |
author_facet |
Merryfield, William J. Baehr, Johanna Batté, Lauriane Becker, Emily J. Butler, Amy H. Coelho, Caio A.S. Danabasoglu, Gokhan Dirmeyer, Paul A. Doblasreyes, Francisco Domeisen, Daniela I.V. Ferranti, Laura Ilynia, Tatiana Kumar, Arun Müller, Wolfgang A. Rixen, Michel Robertson, Andrew W. Smith, Doug M. Takaya, Yuhei Tuma, Matthias Vitart, Frederic White, Christopher J. Alvarez, Mariano Sebastián Ardilouze, Constantin Attard, Hannah Baggett, Cory Balmaseda, Magdalena A. Beraki, Asmerom F. Bhattacharjee, Partha S. Bilbao, Roberto De Andrade, Felipe M. DeFlorio, Michael J. Díaz, Leandro Baltasar Ehsan, Muhammad Azhar Fragkoulidis, Georgios Grainger, Sam Green, Benjamin W. Hell, Momme C. Infanti, Johnna M. Isensee, Katharina Kataoka, Takahito Kirtman, Ben P. Klingaman, Nicholas P. Lee, June Yi Mayer, Kirsten McKay, Roseanna Mecking, Jennifer V. Miller, Douglas E. Neddermann, Nele Ng, Ching Ho Justin Ossó, Albert Pankatz, Klaus Peatman, Simon Pegion, Kathy Perlwitz, Judith Recalde Coronel, G. Cristina Reintges, Annika Renkl, Christoph Solaraju-Murali, Balakrishnan Spring, Aaron Stan, Cristiana Sun, Y. Qiang Tozer, Carly R. Vigaud, Nicolas Woolnough, Steven Yeager, Stephen |
author_role |
author |
author2 |
Baehr, Johanna Batté, Lauriane Becker, Emily J. Butler, Amy H. Coelho, Caio A.S. Danabasoglu, Gokhan Dirmeyer, Paul A. Doblasreyes, Francisco Domeisen, Daniela I.V. Ferranti, Laura Ilynia, Tatiana Kumar, Arun Müller, Wolfgang A. Rixen, Michel Robertson, Andrew W. Smith, Doug M. Takaya, Yuhei Tuma, Matthias Vitart, Frederic White, Christopher J. Alvarez, Mariano Sebastián Ardilouze, Constantin Attard, Hannah Baggett, Cory Balmaseda, Magdalena A. Beraki, Asmerom F. Bhattacharjee, Partha S. Bilbao, Roberto De Andrade, Felipe M. DeFlorio, Michael J. Díaz, Leandro Baltasar Ehsan, Muhammad Azhar Fragkoulidis, Georgios Grainger, Sam Green, Benjamin W. Hell, Momme C. Infanti, Johnna M. Isensee, Katharina Kataoka, Takahito Kirtman, Ben P. Klingaman, Nicholas P. Lee, June Yi Mayer, Kirsten McKay, Roseanna Mecking, Jennifer V. Miller, Douglas E. Neddermann, Nele Ng, Ching Ho Justin Ossó, Albert Pankatz, Klaus Peatman, Simon Pegion, Kathy Perlwitz, Judith Recalde Coronel, G. Cristina Reintges, Annika Renkl, Christoph Solaraju-Murali, Balakrishnan Spring, Aaron Stan, Cristiana Sun, Y. Qiang Tozer, Carly R. Vigaud, Nicolas Woolnough, Steven Yeager, Stephen |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
subseasonal decadal prediction |
topic |
subseasonal decadal prediction |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in developing forecasts to improve our foreknowledge of extreme events. On subseasonal to seasonal (S2S) time scales, these include high-impact meteorological events such as tropical cyclones, extratropical storms, floods, droughts, and heat and cold waves. On seasonal to decadal (S2D) time scales, while the focus broadly remains similar (e.g., on precipitation, surface and upper-ocean temperatures, and their effects on the probabilities of high-impact meteorological events), understanding the roles of internal variability and externally forced variability such as anthropogenic warming in forecasts also becomes important. The S2S and S2D communities share common scientific and technical challenges. These include forecast initialization and ensemble generation; initialization shock and drift; understanding the onset of model systematic errors; bias correction, calibration, and forecast quality assessment; model resolution; atmosphere-ocean coupling; sources and expectations for predictability; and linking research, operational forecasting, and end-user needs. In September 2018 a coordinated pair of international conferences, framed by the above challenges, was organized jointly by the World Climate Research Programme (WCRP) and the World Weather Research Programme (WWRP). These conferences surveyed the state of S2S and S2D prediction, ongoing research, and future needs, providing an ideal basis for synthesizing current and emerging developments in these areas that promise to enhance future operational services. This article provides such a synthesis. Fil: Merryfield, William J.. Canadian Centre For Climate Modelling And Analysis; Canadá Fil: Baehr, Johanna. Universitat Hamburg; Alemania Fil: Batté, Lauriane. Centre National de Recherches Météorologiques; Francia Fil: Becker, Emily J.. No especifíca; Fil: Butler, Amy H.. State University of Colorado at Boulder; Estados Unidos Fil: Coelho, Caio A.S.. Instituto Nacional de Pesquisas Espaciais; Brasil Fil: Danabasoglu, Gokhan. National Center for Atmospheric Research; Estados Unidos Fil: Dirmeyer, Paul A.. No especifíca; Fil: Doblasreyes, Francisco. No especifíca; Fil: Domeisen, Daniela I.V.. No especifíca; Fil: Ferranti, Laura. No especifíca; Fil: Ilynia, Tatiana. No especifíca; Fil: Kumar, Arun. No especifíca; Fil: Müller, Wolfgang A.. No especifíca; Fil: Rixen, Michel. World Meteorological Organization; Estados Unidos Fil: Robertson, Andrew W.. International Research Institute For Climate And Society; Estados Unidos Fil: Smith, Doug M.. No especifíca; Fil: Takaya, Yuhei. Japan Meteorological Agency; Japón Fil: Tuma, Matthias. World Meteorological Organization; Estados Unidos Fil: Vitart, Frederic. No especifíca; Fil: White, Christopher J.. University of Strathclyde; Reino Unido Fil: Alvarez, Mariano Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. 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: Ardilouze, Constantin. No especifíca; Fil: Attard, Hannah. No especifíca; Fil: Baggett, Cory. State University of Colorado - Fort Collins; Estados Unidos Fil: Balmaseda, Magdalena A.. No especifíca; Fil: Beraki, Asmerom F.. University Of Pretoria; Sudáfrica Fil: Bhattacharjee, Partha S.. National Oceanic And Atmospheric Administration; Estados Unidos Fil: Bilbao, Roberto. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España Fil: De Andrade, Felipe M.. University of Reading; Reino Unido Fil: DeFlorio, Michael J.. No especifíca; Fil: Díaz, Leandro Baltasar. 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: Ehsan, Muhammad Azhar. The Abdus Salam. International Centre for Theoretical Physics; Italia. The Abdus Salam; Italia Fil: Fragkoulidis, Georgios. Johannes Gutenberg Universitat Mainz; Alemania Fil: Grainger, Sam. No especifíca; Fil: Green, Benjamin W.. State University of Colorado at Boulder; Estados Unidos Fil: Hell, Momme C.. No especifíca; Fil: Infanti, Johnna M.. National Oceanic And Atmospheric Administration; Estados Unidos Fil: Isensee, Katharina. No especifíca; Fil: Kataoka, Takahito. No especifíca; Fil: Kirtman, Ben P.. No especifíca; Fil: Klingaman, Nicholas P.. University of Reading; Reino Unido Fil: Lee, June Yi. Pusan National University; Corea del Sur Fil: Mayer, Kirsten. State University of Colorado at Boulder; Estados Unidos Fil: McKay, Roseanna. Monash University; Australia Fil: Mecking, Jennifer V.. University of Southampton; Reino Unido Fil: Miller, Douglas E.. University of Illinois. Urbana - Champaign; Estados Unidos Fil: Neddermann, Nele. No especifíca; Fil: Ng, Ching Ho Justin. University of Princeton; Estados Unidos Fil: Ossó, Albert. University of Graz; Austria Fil: Pankatz, Klaus. Max Planck Institute For Meteorology; Estados Unidos Fil: Peatman, Simon. No especifíca; Fil: Pegion, Kathy. George Mason University; Estados Unidos Fil: Perlwitz, Judith. State University of Colorado at Boulder; Estados Unidos Fil: Recalde Coronel, G. Cristina. Escuela Superior Politecnica del Litoral ; Ecuador Fil: Reintges, Annika. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Renkl, Christoph. Dalhousie University Halifax; Canadá Fil: Solaraju-Murali, Balakrishnan. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España Fil: Spring, Aaron. No especifíca; Fil: Stan, Cristiana. George Mason University; Estados Unidos Fil: Sun, Y. Qiang. University of Princeton; Estados Unidos Fil: Tozer, Carly R.. No especifíca; Fil: Vigaud, Nicolas. No especifíca; Fil: Woolnough, Steven. University of Reading; Reino Unido Fil: Yeager, Stephen. National Center for Atmospheric Research; Estados Unidos |
description |
Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in developing forecasts to improve our foreknowledge of extreme events. On subseasonal to seasonal (S2S) time scales, these include high-impact meteorological events such as tropical cyclones, extratropical storms, floods, droughts, and heat and cold waves. On seasonal to decadal (S2D) time scales, while the focus broadly remains similar (e.g., on precipitation, surface and upper-ocean temperatures, and their effects on the probabilities of high-impact meteorological events), understanding the roles of internal variability and externally forced variability such as anthropogenic warming in forecasts also becomes important. The S2S and S2D communities share common scientific and technical challenges. These include forecast initialization and ensemble generation; initialization shock and drift; understanding the onset of model systematic errors; bias correction, calibration, and forecast quality assessment; model resolution; atmosphere-ocean coupling; sources and expectations for predictability; and linking research, operational forecasting, and end-user needs. In September 2018 a coordinated pair of international conferences, framed by the above challenges, was organized jointly by the World Climate Research Programme (WCRP) and the World Weather Research Programme (WWRP). These conferences surveyed the state of S2S and S2D prediction, ongoing research, and future needs, providing an ideal basis for synthesizing current and emerging developments in these areas that promise to enhance future operational services. This article provides such a synthesis. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06 |
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/11336/150980 Merryfield, William J.; Baehr, Johanna; Batté, Lauriane; Becker, Emily J.; Butler, Amy H.; et al.; Current and emerging developments in subseasonal to decadal prediction; American Meteorological Society; Bulletin of The American Meteorological Society; 101; 6; 6-2020; E869-E896 0003-0007 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/150980 |
identifier_str_mv |
Merryfield, William J.; Baehr, Johanna; Batté, Lauriane; Becker, Emily J.; Butler, Amy H.; et al.; Current and emerging developments in subseasonal to decadal prediction; American Meteorological Society; Bulletin of The American Meteorological Society; 101; 6; 6-2020; E869-E896 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/http://journals.ametsoc.org/doi/10.1175/BAMS-D-19-0037.1 info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-19-0037.1 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Meteorological Society |
publisher.none.fl_str_mv |
American Meteorological Society |
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_ |
1842269973438791680 |
score |
13.13397 |