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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/474P2JD
Repositóriosid.inpe.br/plutao/2022/06.15.12.49.41   (acesso restrito)
Última Atualização2022:06.20.17.46.53 (UTC) simone
Repositório de Metadadossid.inpe.br/plutao/2022/06.15.12.49.42
Última Atualização dos Metadados2023:01.03.16.52.55 (UTC) administrator
DOI10.1002/cli2.7
ISSN2692-4587
Rótulolattes: 5644797510360085 4 ZeriWCZVBMHCMAMG:2022:EvUsJU
Chave de CitaçãoZeriWCCVBMHCMAMG:2022:EvUsJU
TítuloImportance of including soil moisture in drought monitoring over the Brazilian semiarid region: An evaluation using the JULES model, in situ observations, and remote sensing
Ano2022
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4458 KiB
2. Contextualização
Autor 1 Zeri, Marcelo
 2 Williams, Karina
 3 Cunha, Ana Paula M. A.
 4 Cunha Zeri, Gisleine da Silva
 5 Vianna, Murilo S.
 6 Blyth, Eleanor M.
 7 Marthews, Toby R.
 8 Hayman, Garry D.
 9 Costa, José Maria
10 Marengo, José A.
11 Alvalá, Regina C. S.
12 Moraes, Osvaldo L. L.
13 Galdos, Marcelo V.
Grupo 1
 2
 3
 4 CST-CST-DIPGR-INPE-MCTI-GOV-BR
Afiliação 1 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
 2 Met Office
 3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 University of Leeds
 6 UK Centre for Ecology & Hydrology
 7 UK Centre for Ecology & Hydrology
 8 UK Centre for Ecology & Hydrology
 9 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
10 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
11 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
12 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
13 University of Leeds
Endereço de e-Mail do Autor 1 marcelo.zeri@cemaden.gov.br
 2
 3
 4 giscunhazeri@gmail.com
RevistaClimate Resilience and Sustainability
Volume1
Número1
Páginase7
Histórico (UTC)2022-06-15 12:49:42 :: lattes -> administrator ::
2022-06-16 05:31:03 :: administrator -> lattes :: 2022
2022-06-20 17:46:54 :: lattes -> administrator :: 2022
2022-07-08 16:52:54 :: administrator -> simone :: 2022
2022-12-20 13:43:05 :: simone -> administrator :: 2022
2023-01-03 16:52:55 :: 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-Chavedrought
drought indices
drought management policies
land surface model
soil moisture
ResumoSoil moisture information is essential to monitoring of the intensity of droughts,the start of the rainy season, planting dates and early warnings of yield losses.We assess spatial and temporal trends of drought over the Brazilian semiaridregion by combining soil moisture observations from 360 stations, root zone soilmoisture from a leading land surface model, and a vegetation health index fromremote sensing. The soil moisture dataset was obtained from the network of sta-tions maintained by the National Center of Monitoring and Early Warning ofNatural Disasters (Cemaden), in Brazil. Soil water content at 10 to 35 cm depth,for the period 19792018, was obtained from running the JULES land surfacemodel (the Joint UK Land Environment Simulator). The modelled soil moisturewas correlated with measurements in the common period of 20152018, result-ing in an average correlation coefficient of 0.48 across the domain. The standard-izedsoilmoistureanomaly(SMA)wascalculatedforthelong-termmodelledsoilmoisture and revealed strong negative values during well-known drought peri-ods in the region, especially during El-Niño years. The performance of SMA inidentifying droughts during the first 2 months of the raining and cropping sea-son was similar to the Standardized Precipitation Index (SPI), commonly usedfor drought assessment: 1214 events were identified by both indices. Finally, thetemporal relationship between both SMA and SPI with the Vegetation HealthIndex (VHI) was assessed using the cross-wavelet transform. The results indi-cated lagged correlations of 1 to 1.5 months in the annual scale, suggesting thatnegative trends in SMA and SPI can be an early warning to yield losses during the growing season. Public policies on drought assessment should consider thecombination of multiple drought indices, including soil moisture anomaly.
ÁreaCST
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Importance of including...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Importance of including...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoClimate Resilience - 2021 - Zeri - Importance of including soil moisture in drought monitoring over the Brazilian semiarid.pdf
Grupo de Usuárioslattes
Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/449U4PL
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2021/03.06.05.18 3
sid.inpe.br/bibdigital/2022/04.03.22.23 1
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination 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
7. Controle da descrição
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