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8 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
Data e hora local de busca: 16/05/2024 15:28.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3SCS9DE
Repositóriosid.inpe.br/plutao/2018/12.14.21.07.51   (acesso restrito)
Última Atualização2018:12.18.13.10.49 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2018/12.14.21.07.52
Última Atualização dos Metadados2021:01.02.22.17.00 (UTC) administrator
DOI10.1127/metz/2018/0898
ISSN0941-2948
Rótulolattes: 4978912302419377 1 CoelhoFirpAndr:2018:VeFrSo
Chave de CitaçãoCoelhoFirpAndr:2018:VeFrSo
TítuloA verification framework for South American sub-seasonal precipitation predictions
Ano2018
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2495 KiB
2. Contextualização
Autor1 Coelho, Caio Augusto dos Santos
2 Firpo, Mári Andrea Feldman
3 Andrade, Felipe Marques de
Grupo1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
2 MET-MET-SESPG-INPE-MCTIC-GOV-BR
3 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 caio.coelho@inpe.br
2
3 felipe.andrade@inpe.br
RevistaMeteorologische Zeitschrift
Volume27
Número6
Páginas503-520
Histórico (UTC)2018-12-18 13:10:51 :: lattes -> administrator :: 2018
2021-01-02 22:17:00 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
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Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavesub-seasonal prediction
verification precipitation
South America
ResumoThis paper proposes a verification framework for South American sub-seasonal (weekly accumulated) precipitation predictions produced one to four weeks in advance. The framework assesses both hindcast and near real time forecast quality focusing on a selection of attributes (association, accuracy, discrimination, reliability and resolution). These attributes are measured using deterministic and probabilistic scores. Such an attribute-based framework allows the production of verification information in three levels according to the availability of sub-seasonal hindcasts and near real time forecasts samples. The framework is useful for supporting future routine sub-seasonal prediction practice by helping forecasters to identify model forecast merits and deficiencies and regions where to trust the model guidance information. The three information levels are defined according to the verification sampling strategy and are referred to as target week hindcast verification, all season hindcast verification, all season near real time forecast verification. The framework is illustrated using ECMWF sub-seasonal precipitation predictions. For the investigated period (austral autumn), reasonable accordance was identified between hindcasts and near real time forecast quality across the three levels. Sub-seasonal precipitation predictions produced one to two weeks in advance presented better performance than those produced three to four weeks in advance. The northeast region of Brazil presented favorable sub-seasonal precipitation prediction performance, particularly in terms of association, accuracy and discrimination attributes. This region was identified as a region where sub-seasonal precipitation predictions produced one to four weeks in advance are most likely to be successful in South America. When aggregating all predictions over the South American continent the probabilistic assessment showed modest discrimination ability, with predictions clearly requiring calibration for improving reliability and possibly combination with predictions produced by other models for improving resolution. The proposed framework is also useful for providing feedback to model developers in identifying strengths and weaknesses for future sub-seasonal predictions systems improvements.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > A verification framework...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > A verification framework...
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Idiomaen
Arquivo Alvocoelho_verification.pdf
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Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SQKNE
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.15.01.34 2
sid.inpe.br/bibdigital/2021/01.02.22.14 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/44Q6CR5
Repositóriosid.inpe.br/mtc-m21c/2021/06.01.12.59   (acesso restrito)
Última Atualização2021:06.01.12.59.42 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/06.01.12.59.42
Última Atualização dos Metadados2022:04.03.22.30.58 (UTC) administrator
DOI10.1007/s00382-020-05589-5
ISSN0930-7575
Chave de CitaçãoGuimarãesCWKBFBS:2021:InPeAs
TítuloAn inter-comparison performance assessment of a Brazilian global sub-seasonal prediction model against four sub-seasonal to seasonal (S2S) prediction project models
Ano2021
MêsAprl
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3734 KiB
2. Contextualização
Autor1 Guimarães, Bruno dos Santos
2 Coelho, Caio Augusto dos Santos
3 Woolnough, Steven James
4 Kubota, Paulo Yoshio
5 Bastarz, Carlos Frederico
6 Figueroa, Silvio Nilo
7 Bonatti, José Paulo
8 Souza, Dayana Castilho de
Identificador de Curriculo1
2
3
4
5
6
7 8JMKD3MGP5W/3C9JHJ7
ORCID1 0000-0003-3855-5362
Grupo1 CGCT-CGCT-INPE-MCTI-GOV-BR
2 DIPTC-CGCT-INPE-MCTI-GOV-BR
3
4 DIMNT-CGCT-INPE-MCTI-GOV-BR
5 DIMNT-CGCT-INPE-MCTI-GOV-BR
6 DIMNT-CGCT-INPE-MCTI-GOV-BR
7 DIMNT-CGCT-INPE-MCTI-GOV-BR
8 MET-MET-DIPGR-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Reading
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 guimara.bruno@gmail.com
2 caio.augusto.coelho@gmail.com
3
4 pkubota@gmail.com
5 cfbastarz@gmail.com
6 nilo.figueroa@inpe.br
7 bonatti.paulo@gmail.com
8 dayanacastilhos@gmail.com
RevistaClimate Dynamics
Volume56
Número7/8
Páginas2359-2375
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_ENGENHARIAS_I A2_ASTRONOMIA_/_FÍSICA B1_CIÊNCIA_DA_COMPUTAÇÃO
Histórico (UTC)2021-06-01 12:59:42 :: simone -> administrator ::
2021-06-01 12:59:43 :: administrator -> simone :: 2021
2021-06-01 13:01:39 :: simone -> administrator :: 2021
2022-04-03 22:30:58 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveSub-seasonal prediction
Forecast verification
Intraseasonal variability
Madden-Julian oscillation
ResumoThis paper presents an inter-comparison performance assessment of the newly developed Centre for Weather Forecast and Climate Studies (CPTEC) model (the Brazilian Atmospheric Model version 1.2, BAM-1.2) against four sub-seasonal to seasonal (S2S) prediction project models from: Japan Meteorological Agency (JMA), Environmental and Climate Change Canada (ECCC), European Centre for Medium-range Weather Forecasts (ECMWF) and Australian Bureau of Meteorology (BoM). The inter-comparison was performed using hindcasts of weekly precipitation anomalies and the daily evolution of Madden-Julian Oscillation (MJO) for 12 extended austral summers (November-March, 1999/2000-2010/2011), leading to a verification sample of 120 hindcasts. The deterministic assessment of the prediction of precipitation anomalies revealed ECMWF as the model presenting the highest (smallest) correlation (root mean squared error, RMSE) values among all examined models. JMA ranked as the second best performing model, followed by ECCC, CPTEC and BoM. The probabilistic assessment for the event "positive precipitation anomaly" revealed that ECMWF presented better discrimination, reliability and resolution when compared to CPTEC and BoM. However, these three models produced overconfident probabilistic predictions. For MJO predictions, CPTEC crosses the 0.5 bivariate correlation threshold at around 19 days when using the mean of 4 ensemble members, presenting similar performance to BoM, JMA and ECCC. Overall, CPTEC proved to be competitive compared to the S2S models investigated, but with respect to ECMWF there is scope to improve the prediction system, likely by a combination of including coupling to an interactive ocean, improving resolution and model parameterization schemes, and better methods for ensemble generation.
ÁreaMET
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoGuimarães2021_Article_AnInter-comparisonPerformanceA.pdf
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Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 4
DivulgaçãoWEBSCI; PORTALCAPES; AGU; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/47GENSB
Repositóriosid.inpe.br/mtc-m21d/2022/08.26.11.12
Última Atualização2022:08.26.11.15.03 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/08.26.11.12.31
Última Atualização dos Metadados2024:01.23.13.51.36 (UTC) simone
DOI10.1175/BAMS-D-20-0224.1
ISSN0003-0007
Rótulo20220826
Chave de CitaçãoWhiteDAAAABBBBBBCCCCDDDGGGRGGGHHJKLLMMMMMMOOOPPPRRRRRRSSSTTVVWWW:2022:AdApUt
TítuloAdvances in the Application and Utility of Subseasonal-to-Seasonal Predictions
Ano2022
MêsJun
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho11923 KiB
2. Contextualização
Autor 1 White, Christopher J.
 2 Domeisen, V. I. Daniela
 3 Acharya, Nachiketa
 4 Adefisan, Elijah A.
 5 Anderson, Michael L.
 6 Aura, Stella
 7 Balogun, Ahmed A.
 8 Bertram, Douglas
 9 Bluhm, Sonia
10 Brayshaw, David J.
11 Browell, Jethro
12 Bueler, Dominik
13 Charlton-Perez, Andrew
14 Chourio, Xandre
15 Christel, Isadora
16 Coelho, Caio Augusto dos Santos
17 DeFlorio, Michael J.
18 Delle Monache, Luca
19 Di Giuseppe, Francesca
20 Garcia-Solorzano, Ana Maria
21 Gibson, Peter B.
22 Goddard, Lisa
23 Romero, Carmen Gonzalez
24 Graham, Richard J.
25 Graham, Robert M.
26 Grams, Christian M.
27 Halford, Alan
28 Huang, W. T. Katty
29 Jensen, Kjeld
30 Kilavi, Mary
31 Lawal, Kamoru A.
32 Lee, Robert W.
33 MacLeod, David
34 Manrique-Sunen, Andrea
35 Martins, Eduardo S. P. R.
36 Maxwell, Carolyn J.
37 Merryfield, William J.
38 Munoz, Angel G.
39 Olaniyan, Eniola
40 Otieno, George
41 Oyedepo, John A.
42 Palma, Lluis
43 Pechlivanidis, Ilias G.
44 Pons, Diego
45 Ralph, F. Martin
46 Reis, Dirceu S.
47 Remenyi, Tomas A.
48 Risbey, James S.
49 Robertson, Donald J. C.
50 Robertson, Andrew W.
51 Smith, Stefan
52 Soret, Albert
53 Sun, Ting
54 Todd, Martin C.
55 Tozer, Carly R.
56 Vasconcelos Junior, C. Francisco
57 Vigo, Ilaria
58 Waliser, Duane E.
59 Wetterhall, Fredrik
60 Wilson, Robert G.
Grupo 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16 DIPTC-CGCT-INPE-MCTI-GOV-BR
Afiliação 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 chris.white@strath.ac.uk
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16 caio.augusto.coelho@gmail.com
RevistaBulletin of the American Meteorological Society
Volume103
Número6
PáginasE1448-E1472
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE
Histórico (UTC)2022-08-26 11:12:31 :: administrator -> simone ::
2022-08-26 11:15:05 :: simone -> administrator :: 2022
2022-08-26 11:15:08 :: administrator -> simone :: 2022
2022-08-26 11:16:55 :: simone -> administrator :: 2022
2022-08-26 18:48:05 :: administrator -> simone :: 2022
2022-12-01 11:15:05 :: simone -> administrator :: 2022
2023-01-14 09:15:26 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveEnsembles
Forecast verification/skill
Climate services
Decision support
Emergency preparedness
Societal impacts
ResumoThe subseasonal-to-seasonal (S2S) predictive time scale, encompassing lead times ranging from 2 weeks to a season, is at the frontier of forecasting science. Forecasts on this time scale provide opportunities for enhanced application-focused capabilities to complement existing weather and climate services and products. There is, however, a ``knowledge-value'' gap, where a lack of evidence and awareness of the potential socioeconomic benefits of S2S forecasts limits their wider uptake. To address this gap, here we present the first global community effort at summarizing relevant applications of S2S forecasts to guide further decision-making and support the continued development of S2S forecasts and related services. Focusing on 12 sectoral case studies spanning public health, agriculture, water resource management, renewable energy and utilities, and emergency management and response, we draw on recent advancements to explore their application and utility. These case studies mark a significant step forward in moving from potential to actual S2S forecasting applications. We show that by placing user needs at the forefront of S2S forecast development-demonstrating both skill and utility across sectors-this dialogue can be used to help promote and accelerate the awareness, value, and cogeneration of S2S forecasts. We also highlight that while S2S forecasts are increasingly gaining interest among users, incorporating probabilistic S2S forecasts into existing decision-making operations is not trivial. Nevertheless, S2S forecasting represents a significant opportunity to generate useful, usable, and actionable forecast applications for and with users that will increasingly unlock the potential of this forecasting time scale.
ÁreaMET
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Idiomaen
Arquivo Alvo[15200477 - Bulletin of the American Meteorological Society] Advances in the Application and Utility of Subseasonal-to-Seasonal Predictions.pdf
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DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
NotasPrêmio CAPES Elsevier 2023 - ODS 2: Fome zero e Agricultura sustentável
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/42JGB6H
Repositóriosid.inpe.br/mtc-m21c/2020/05.30.17.58   (acesso restrito)
Última Atualização2020:11.03.10.48.48 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/05.30.17.58.08
Última Atualização dos Metadados2022:01.04.01.35.10 (UTC) administrator
DOI10.1002/qj.3725
ISSN0035-9009
Chave de CitaçãoGuimarãesCWKBFBS:2020:CoHiQu
TítuloConfiguration and hindcast quality assessment of a Brazilian global sub-seasonal prediction system
Ano2020
MêsApr.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho7976 KiB
2. Contextualização
Autor1 Guimarães, Bruno dos Santos
2 Coelho, Caio Augusto dos Santos
3 Woolnough, Steven J.
4 Kubota, Paulo Yoshio
5 Bastarz, Carlos Frederico
6 Figueroa, Silvio NIlo
7 Bonatti, José Paulo
8 Souza, Dayana Castilho de
Identificador de Curriculo1
2
3
4
5
6
7 8JMKD3MGP5W/3C9JHJ7
ORCID1 0000-0003-3855-5362
2
3
4 0000-0003-4858-1337
Grupo1 MET-MET-SESPG-INPE-MCTIC-GOV-BR
2 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
3
4 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
5 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
6
7 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
8 YYY-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Reading
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2 caio.coelho@cptec.inpe.br
3
4 paulo.kubota@inpe.br
5 carlos.bastarz@inpe.br
6 silvio.figueroa@inpe.br
RevistaQuarterly Journal of the Royal Meteorological Society
Volume146
Número728
Páginas1067-1084
Nota SecundáriaA1_GEOCIÊNCIAS A2_ENGENHARIAS_I
Histórico (UTC)2020-05-30 18:03:25 :: simone -> administrator :: 2020
2020-06-01 21:02:30 :: administrator -> simone :: 2020
2020-06-19 13:45:40 :: simone -> administrator :: 2020
2020-07-08 17:10:56 :: administrator -> simone :: 2020
2020-11-03 10:48:48 :: simone -> administrator :: 2020
2022-01-04 01:35:10 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveforecast verification
intraseasonal variability
MJO
ResumoThis article presents the Centre for Weather Forecast and Climate Studies (CPTEC) developments for configuring a global sub-seasonal prediction system and assessing its ability in producing retrospective predictions (hindcasts) for meteorological conditions of the following 4 weeks. Six Brazilian Global Atmospheric Model version 1.2 (BAM-1.2) configurations were tested in terms of vertical resolution, deep convection and boundary-layer parametrizations, as well as soil moisture initialization. The aim was to identify the configuration with best performance when predicting weekly accumulated precipitation, weekly mean 2 m temperature (T2M) and the Madden-Julian Oscillation (MJO) daily evolution. Hindcasts assessment was performed for 12 extended austral summers (November-March, 1999/2000- 2010/2011) with two start dates for each month for the six configurations and two ensemble approaches. The first approach, referred to as Multiple Configurations Ensemble (MCEN), was formed of one ensemble member from each of the six configurations. The second, referred to as Initial Condition Ensemble (ICEN), was composed of six ensemble members produced with the chosen configuration as the best using an empirical orthogonal function (EOF) perturbation methodology. The chosen configuration presented high correlation and low root-mean-squared error (RMSE) for precipitation and T2M anomaly predictions at the first week and these indices degraded as lead time increased, maintaining moderate performance up to week-4 over the tropical Pacific and northern South America. For MJO predictions, this configuration crossed the 0.5 bivariate correlation threshold in 18 days. The ensemble approaches improved the correlation and RMSE of precipitation and T2M anomalies. ICEN improved precipitation and T2M predictions performance over eastern South America at week-3 and over northern South America at week-4. Improvements were also noticed for MJO predictions. The time to cross the above-mentioned threshold increased to 21 days for MCEN and to 20 days for ICEN.
ÁreaMET
Arranjo 1urlib.net > DIDOP > Configuration and hindcast...
Arranjo 2Configuration and hindcast...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 30/05/2020 14:58 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoguimaraes_configuration2.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SQKNE
8JMKD3MGPCW/445QBLE
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.02.22.14 2
sid.inpe.br/bibdigital/2021/01.01.17.20 2
sid.inpe.br/bibdigital/2021/02.08.18.20 1
DivulgaçãoWEBSCI
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/4AC8CH5
Repositóriosid.inpe.br/plutao/2023/12.11.15.14   (acesso restrito)
Última Atualização2023:12.13.11.32.59 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2023/12.11.15.14.28
Última Atualização dos Metadados2024:01.02.17.00.36 (UTC) administrator
DOI10.1007/s00382-023-06905-5
ISSN0930-7575
Rótulolattes: 6041333024387123 22 XueDBZZLNYTSKVASMLTYNQQNSWZZNPPFSXBBBFHLPZMRBCRVKELGZTLQZ:2023:GEPhI
Chave de CitaçãoXueDBZZLNYTSKVASMLTYNQQNSWZZNPPFSXBBBFHLPZMRBCRVKELGZTLQZ:2023:GEPhI
TítuloRemote effects of Tibetan Plateau spring land temperature on global subseasonal to seasonal precipitation prediction and comparison with effects of sea surface temperature: the GEWEX/LS4P Phase I experiment
Ano2023
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5186 KiB
2. Contextualização
Autor 1 Xue, Yongkang
 2 Diallo, Ismaila
 3 Boone, Aaron A.
 4 Zhang, Yang
 5 Zeng, Xubin
 6 Lau, William K. M.
 7 Neelin, J. David
 8 Yao, Tandong
 9 Tang, Qi
10 Sato, Tomonori
11 Koo, Myung-Seo
12 Vitart, Frederic
13 Ardilouze, Constantin
14 Saha, Subodh K.
15 Materia, Stefano
16 Lin, Zhaohui
17 Takaya, Yuhei
18 Yang, Jing
19 Nakamura, Tetsu
20 Qi, Xin
21 Qin, Yi
22 Nobre, Paulo
23 Senan, Retish
24 Wang, Hailan
25 Zhang, Hongliang
26 Zhao, Mei
27 Nayak, Hara Prasad
28 Pan, Yan
29 Pan, Xiaoduo
30 Feng, Jinming
31 Shi, Chunxiang
32 Xie, Shaocheng
33 Brunke, Michael A.
34 Bao, Qing
35 Bottino, Marcus Jorge
36 Fan, Tianyi
37 Hong, Songyou
38 Lin, Yanluan
39 Peano, Daniele
40 Zhan, Yanling
41 Mechoso, Carlos R.
42 Ren, Xuejuan
43 Balsamo, Gianpaolo
44 Chou, Sin Chan
45 Rosnay, Patricia de
46 Van Oevelen, Peter J.
47 Klocke, Daniel
48 Ek, Michael
49 Li, Xin
50 Guo, Weidong
51 Zhu, Yuejian
52 Tang, Jianping
53 Liang, Xin-Zhong
54 Qian, Yun
55 Zhao, Ping
Identificador de Curriculo 1
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Grupo 1
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Afiliação 1 0000-0002-6169-9631
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RevistaClimate Dynamics
Volume10
Páginas1007
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_ENGENHARIAS_I A2_ASTRONOMIA_/_FÍSICA B1_CIÊNCIA_DA_COMPUTAÇÃO
Histórico (UTC)2023-12-11 15:14:28 :: lattes -> administrator ::
2023-12-13 11:31:22 :: administrator -> lattes :: 2023
2023-12-13 11:33:17 :: lattes -> administrator :: 2023
2024-01-02 17:00:36 :: administrator -> simone :: 2023
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoThe prediction skill for precipitation anomalies in late spring and summer monthsa signifcant component of extreme climate eventshas remained stubbornly low for years. This paper presents a new idea that utilizes information on boreal spring land surface temperature/subsurface temperature (LST/SUBT) anomalies over the Tibetan Plateau (TP) to improve prediction of subsequent summer droughts/foods over several regions over the world, East Asia and North America in particular. The work was performed in the framework of the GEWEX/LS4P Phase I (LS4P-I) experiment, which focused on whether the TP LST/SUBT provides an additional source for subseasonal-to-seasonal (S2S) predictability. The summer 2003, when there were severe drought/food over the southern/northern part of the Yangtze River basin, respectively, has been selected as the focus case. With the newly developed LST/SUBT initialization method, the observed surface temperature anomaly over the TP has been partially produced by the LS4P-I model ensemble mean, and 8 hotspot regions in the world were identifed where June precipitation is signifcantly associated with anomalies of May TP land temperature. Consideration of the TP LST/SUBT efect has produced about 2550% of observed precipitation anomalies in most hotspot regions. The multiple models have shown more consistency in the hotspot regions along the Tibetan Plateau-Rocky Mountain Circumglobal (TRC) wave train. The mechanisms for the LST/SUBT efect on the 2003 drought over the southern part of the Yangtze River Basin are discussed. For comparison, the global SST efect has also been tested and 6 regions with signifcant SST efects were identifed in the 2003 case, explaining about 2550% of precipitation anomalies over most of these regions. This study suggests that the TP LST/SUBT efect is a frst-order source of S2S precipitation predictability, and hence it is comparable to that of the SST efect. With the completion of the LS4P-I, the LS4P-II has been launched and the LS4P-II protocol is briefy presented.
ÁreaMET
Arranjourlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Remote effects of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomapt
Arquivo Alvos00382-023-06905-5.pdf
Grupo de Usuárioslattes
Grupo de Leitoresadministrator
lattes
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.57.54 1
DivulgaçãoWEBSCI; PORTALCAPES; AGU; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TCFB28
Repositóriosid.inpe.br/mtc-m21c/2019/05.27.11.07   (acesso restrito)
Última Atualização2019:05.27.11.07.21 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/05.27.11.07.21
Última Atualização dos Metadados2021:01.02.22.16.31 (UTC) administrator
DOI10.1007/s00382-018-4457-z
ISSN0930-7575
Chave de CitaçãoAndradeCoelCava:2019:GlPrHi
TítuloGlobal precipitation hindcast quality assessment of the Subseasonal to Seasonal (S2S) prediction project models
Ano2019
MêsMay
Data de Acesso16 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho11858 KiB
2. Contextualização
Autor1 Andrade, Felipe Marques de
2 Coelho, Caio Augusto dos Santos
3 Cavalcanti, Iracema Fonseca de Albuquerque
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHDE
Grupo1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
2 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
3 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 felipestratus@gmail.com
2 caio.coelho@inpe.br
3 iracema.cavalcanti@inpe.br
RevistaClimate Dynamics
Volume52
Número9/10
Páginas5451-5475
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_ENGENHARIAS_I A2_ASTRONOMIA_/_FÍSICA B1_CIÊNCIA_DA_COMPUTAÇÃO
Histórico (UTC)2019-05-27 11:07:21 :: simone -> administrator ::
2019-05-27 11:07:22 :: administrator -> simone :: 2019
2019-06-18 17:01:38 :: simone -> administrator :: 2019
2019-07-02 19:02:04 :: administrator -> simone :: 2019
2019-12-06 16:52:49 :: simone -> administrator :: 2019
2021-01-02 22:16:31 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveSubseasonal prediction
S2S prediction project models
Hindcast quality
Precipitation
Teleconnections
ResumoThis study assessed subseasonal global precipitation hindcast quality from all Subseasonal to Seasonal (S2S) prediction project models. Deterministic forecast quality of weekly accumulated precipitation was verified using different metrics and hindcast data considering lead times up to 4weeks. The correlation scores were found to be higher during the first week and dropped as lead time increased, confining meaningful signals in the tropics mostly due to El Nino-Southern Oscillation and Madden-Julian Oscillation-related effects. The contribution of these two phenomena to hindcast quality was assessed by removing their regressed precipitation patterns from predicted fields. The model's rank showed ECMWF, UKMO, and KMA as the top scoring models even when using a single control member instead of the mean of all ensemble members. The lowest correlation was shared by CMA, ISAC, and HMCR for most weeks. Models with larger ensemble sizes presented noticeable reduction in correlation when subsampled to fewer perturbed members, showing the value of ensemble prediction. Systematic errors were measured through bias and variance ratio revealing in general large positive (negative) biases and variance overestimation (underestimation) over the tropical oceans (continents and/or extratropics). The atmospheric circulation hindcast quality was also examined suggesting the importance of using a relatively finer spatial resolution and a coupled model for resolving the tropical circulation dynamics, particularly for simulating tropical precipitation variability. The extratropical circulation hindcast quality was found to be low after the second week likely due to the inherent unpredictability of the extratropical variability and errors associated with model deficiencies in representing teleconnections.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Global precipitation hindcast...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Global precipitation hindcast...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 27/05/2019 08:07 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoAndrade2019_Article_GlobalPrecipitationHindcastQua.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SQKNE
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.01.17.20 2
sid.inpe.br/mtc-m21/2012/07.13.14.50.18 1
DivulgaçãoWEBSCI; PORTALCAPES; AGU; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
e-Mail (login)simone
atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4B2A9FP
Repositóriosid.inpe.br/mtc-m21d/2024/03.25.15.08   (acesso restrito)
Última Atualização2024:03.25.15.08.04 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2024/03.25.15.08.04
Última Atualização dos Metadados2024:04.12.10.00.09 (UTC) administrator
DOI10.1175/BAMS-D-23-0323.1
ISSN0003-0007
Chave de CitaçãoWoolnoughVRCLLKSBCYABABCDDDFFGKHIJLNRRR:2024:Ce10Ye
TítuloCelebrating 10 Years of the Subseasonal to Seasonal Prediction Project and Looking to the Future
Ano2024
MêsMar.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho628 KiB
2. Contextualização
Autor 1 Woolnough, S. J.
 2 Vitart, F.
 3 Robertson, A. W.
 4 Coelho, Caio Augusto dos Santos
 5 Lee, R.
 6 Lin, H.
 7 Kumar, A.
 8 Stan, C.
 9 Balmaseda, M.
10 Caltabiano, N.
11 Yamaguchi, M.
12 Afargan-Gerstman, H.
13 Boult, V. L.
14 Andrade, Felipe Marques de
15 Büeler, D.
16 Carreric, A.
17 Diaz, D. A. Campos
18 Day, J.
19 Dorrington, J.
20 Feldmann, M.
21 Furtado, J. C.
22 Grams, C. M.
23 Koster, R.
24 Hirons, L.
25 Indasi, V. S.
26 Jadhav, P.
27 Liu, Y.
28 Nying'uro, P.
29 Roberts, C. D.
30 Rouges, E.
31 Ryu, J.
ORCID 1 0000-0003-0500-8514
Grupo 1
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14 DIPTC-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of Reading
 2 European Centre for Medium-Range Weather Forecasts
 3 Columbia University
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 University of Reading
 6 Environment and Climate Change Canada
 7 National Centers for Environmental Prediction
 8 George Mason University
 9 European Centre for Medium-Range Weather Forecasts
10 World Meteorological Organization
11 Japanese Meteorological Agency
12 Institute for Atmospheric and Climate Science
13 University of Reading
14 Instituto Nacional de Pesquisas Espaciais (INPE)
15 Institute for Atmospheric and Climate Science
16 Barcelona Supercomputing Center
17 Chilean Weather Service (DMC)
18 European Centre for Medium-Range Weather Forecasts
19 Institute of Meteorology and Climate Research (IMK-TRO)
20 University of Bern
21 University of Oklahoma
22 Karlsruher Institut für Technologie
23 NASA/GSFC
24 University of Reading
25 African Centre of Meteorological Applications for Development
26 Indian Institute of Science Education and Research
27 Chinese Academy of Sciences
28 Kenya Meteorological Department
29 European Centre for Medium-Range Weather Forecasts
30 University of Reading
31 —Gwangju Institute of Science and Technology
Endereço de e-Mail do Autor 1
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 4 caio.coelho@inpe.br
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RevistaBulletin of the American Meteorological Society
Volume105
Número3
Páginase521-e526
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE
Histórico (UTC)2024-03-25 15:08:05 :: simone -> administrator ::
2024-03-25 15:08:09 :: administrator -> simone :: 2024
2024-03-25 15:13:47 :: simone -> administrator :: 2024
2024-04-12 10:00:09 :: administrator -> simone :: 2024
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAtmosphere
Ensembles
Operational forecasting
Climate services
Subseasonal variability
Forecast verification/skill
ÁreaMET
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 25/03/2024 12:08 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvobams-BAMS-D-23-0323.1.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2021/06.04.03.40.25
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 3
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosabstract alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/45C5JBH
Repositóriosid.inpe.br/mtc-m21d/2021/09.01.14.58
Última Atualização2021:09.01.14.59.24 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2021/09.01.14.58.30
Última Atualização dos Metadados2022:04.03.22.27.33 (UTC) administrator
DOI10.5194/gmd-14-4465-2021
ISSN1991-959X
Rótulo20210901
Chave de CitaçãoXueYBDLZLSTPOKKSLTAMSSNWYZZLNVLZSGTYQSZYLQPQZBCEFGLLWXXLSNPQDFBBFHHHJJKLLMRTWWWZZ:2021:OrExDe
TítuloImpact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design
Ano2021
MêsJUL 21
Data de Acesso16 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6490 KiB
2. Contextualização
Autor 1 Xue, Yongkang
 2 Yao, Tandong
 3 Boone, Aaron A.
 4 Diallo, Ismaila
 5 Liu, Ye
 6 Zeng, Xubin
 7 Lau, William K. M.
 8 Sugimoto, Shiori
 9 Tang, Qi
10 Pan, Xiaoduo
11 van Oevelen, Peter J.
12 Klocke, Daniel
13 Koo, Myung-Seo
14 Sato, Tomonori
15 Lin, Zhaohui
16 Takaya, Yuhei
17 Ardilouze, Constantin
18 Materia, Stefano
19 Saha, Subodh K.
20 Senan, Retish
21 Nakamura, Tetsu
22 Wang, Hailan
23 Yang, Jing
24 Zhang, Hongliang
25 Zhao, Mei
26 Liang, Xin-Zhong
27 Neelin, J. David
28 Vitart, Frederic
29 Li, Xin
30 Zhao, Ping
31 Shi, Chunxiang
32 Guo, Weidong
33 Tang, Jianping
34 Yu, Miao
35 Qian, Yun
36 Shen, Samuel S. P.
37 Zhang, Yang
38 Yang, Kun
39 Leung, Ruby
40 Qiu, Yuan
41 Peano, Daniele
42 Qi, Xin
43 Zhan, Yanling
44 Brunke, Michael A.
45 Chou, Sin Chan
46 Ek, Michael
47 Fan, Tianyi
48 Guan, Hong
49 Lin, Hai
50 Liang, Shunlin
51 Wei, Helin
52 Xie, Shaocheng
53 Xu, Haoran
54 Li, Weiping
55 Shi, Xueli
56 Nobre, Paulo
57 Pan, Yan
58 Qin, Yi
59 Dozier, Jeff
60 Ferguson, Craig R.
61 Balsamo, Gianpaolo
62 Bao, Qing
63 Feng, Jinming
64 Hong, Jinkyu
65 Hong, Songyou
66 Huang, Huilin
67 Ji, Duoying
68 Ji, Zhenming
69 Kang, Shichang
70 Lin, Yanluan
71 Liu, Weiguang
72 Muncaster, Ryan
73 de Rosnay, Patricia
74 Takahashi, Hiroshi G.
75 Wang, Guiling
76 Wang, Shuyu
77 Wang, Weicai
78 Zhou, Xu
79 Zhu, Yuejian
Identificador de Curriculo 1
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Grupo 1
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45 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of California
 2
 3
 4 University of California
 5 University of California
 6
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 9
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45 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 yxue@geog.ucla.edu
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RevistaGeoscientific Model Development
Volume14
Número7
Páginas4465-4494
Histórico (UTC)2021-09-01 14:58:30 :: administrator -> simone ::
2021-09-01 14:59:24 :: simone -> administrator :: 2021
2021-09-01 14:59:25 :: administrator -> simone :: 2021
2021-09-01 15:00:26 :: simone -> administrator :: 2021
2022-04-03 22:27:33 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
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Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoSubseasonal-to-seasonal (S2S) prediction, especially the prediction of extreme hydroclimate events such as droughts and floods, is not only scientifically challenging, but also has substantial societal impacts. Motivated by preliminary studies, the Global Energy and Water Exchanges (GEWEX)/Global Atmospheric System Study (GASS) has launched a new initiative called ``Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction'' (LS4P) as the first international grassroots effort to introduce spring land surface temperature (LST)/subsurface temperature (SUBT) anomalies over high mountain areas as a crucial factor that can lead to significant improvement in precipitation prediction through the remote effects of land-atmosphere interactions. LS4P focuses on process understanding and predictability, and hence it is different from, and complements, other international projects that focus on the operational S2S prediction. More than 40 groups worldwide have participated in this effort, including 21 Earth system models, 9 regional climate models, and 7 data groups. This paper provides an overview of the history and objectives of LS4P, provides the first-phase experimental protocol (LS4P-I) which focuses on the remote effect of the Tibetan Plateau, discusses the LST/SUBT initialization, and presents the preliminary results. Multi-model ensemble experiments and analyses of observational data have revealed that the hydroclimatic effect of the spring LST on the Tibetan Plateau is not limited to the Yangtze River basin but may have a significant large-scale impact on summer precipitation beyond East Asia and its S2S prediction. Preliminary studies and analysis have also shown that LS4P models are unable to preserve the initialized LST anomalies in producing the observed anomalies largely for two main reasons: (i) inadequacies in the land models arising from total soil depths which are too shallow and the use of simplified parameterizations, which both tend to limit the soil memory; (ii) reanalysis data, which are used for initial conditions, have large discrepancies from the observed mean state and anomalies of LST over the Tibetan Plateau. Innovative approaches have been developed to largely overcome these problems.
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Arranjourlib.net > Produção a partir de 2021 > CGCT > Impact of Initialized...
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Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34T/45C5JBH
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34T/45C5JBH
Idiomaen
Arquivo Alvoxue_impact_2021.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.57.54 2
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
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