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4 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
Data e hora local de busca: 16/05/2024 14:16.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3S4SA45
Repositóriosid.inpe.br/mtc-m21c/2018/10.26.16.17   (acesso restrito)
Última Atualização2018:10.26.16.17.55 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/10.26.16.17.55
Última Atualização dos Metadados2021:03.06.19.29.58 (UTC) administrator
DOI10.3390/w10101421
ISSN2073-4441
Chave de CitaçãoZeriACCCSUVJ:2018:ToCoAg
TítuloTools for communicating agricultural drought over the Brazilian Semiarid using the soil moisture index
Ano2018
MêsOct.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6524 KiB
2. Contextualização
Autor1 Zeri, Marcelo
2 Alvalá, Regina Célia S.
3 Carneiro, Rogério
4 Cunha Zeri, Gisleine da Silva
5 Costa, José Maria
6 Spatafora, Luciana Rossato
7 Urbano, Domingos
8 Vall-Llossera, Mercè
9 José, Marengo
ORCID1 0000-0003-1244-0858
Grupo1
2
3
4 CST-CST-SESPG-INPE-MCTIC-GOV-BR
Afiliação1 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
2 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
6 Universitat Politècnica de Catalunya
7 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
8 Universitat Politècnica de Catalunya
9 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
Endereço de e-Mail do Autor1 marcelo.zeri@cemaden.gov.br
2 regina.alvala@cemaden.gov.br
3 rogerio.carneiro@cemaden.gov.br
4 gisleine.zeri@inpe.br
5 jmncosta@yahoo.com
6 luciana.rossato@gmail.com
7 domingos.urbano@cemaden.gov.br
8 merce@tsc.upc.edu
9 jose.marengo@cemaden.gov.br
RevistaWater (Switzerland)
Volume10
Número10
Páginase1421
Nota SecundáriaB3_ENGENHARIAS_I
Histórico (UTC)2018-10-26 16:19:35 :: simone -> administrator :: 2018
2019-01-14 17:06:37 :: administrator -> simone :: 2018
2019-07-17 17:31:28 :: simone -> administrator :: 2018
2021-03-06 19:29:58 :: administrator -> simone :: 2018
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-Chavesoil moisture
soil moisture index
drought
semiarid
relative extractable water
available water fraction
ResumoSoil moisture over the Brazilian semiarid region is presented in different visualizations that highlight spatial, temporal and short-term agricultural risk. The analysis used the Soil Moisture Index (SMI), which is based on a normalization of soil moisture by field capacity and wilting point. The index was used to characterize the actual soil moisture conditions into categories from severe drought to very wet. In addition, the temporal evolution of SMI was implemented to visualize recent trends in short-term drought and response to rainfall events at daily time steps, as new data are available. Finally, a visualization of drought risk was developed by considering a critical value of SMI (assumed as 0.4), below which water stress is expected to be triggered in plants. A novel index based on continuous exposure to critical SMI was developed to help bring awareness of real time risk of water stress over the region: the Index of Stress in Agriculture (ISA). The index was tested during a drought over the region and successfully identified locations under water stress for periods of three days or more. The monitoring tools presented here help to describe the real time conditions of drought over the region using daily observations. The information from those tools support decisions on agricultural management such as planting dates, triggering of irrigation, or harvesting.
ÁreaCST
Arranjourlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Tools for communicating...
Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvozeri_tools.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/bibdigital/2021/03.06.05.18 3
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes 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 Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3T4GJU8
Repositóriosid.inpe.br/mtc-m21c/2019/04.08.13.13
Última Atualização2019:06.13.11.20.23 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/04.08.13.13.11
Última Atualização dos Metadados2021:03.06.19.30.00 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoZeriAlCaCuCoUrMa:2019:MoSoMo
TítuloMonitoring of soil moisture for drought risk assessment over the Brazilian semiarid region
Ano2019
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho33 KiB
2. Contextualização
Autor1 Zeri, Marcelo
2 Alvalá, Regina Célia S.
3 Carneiro, Rogério
4 Cunha-Zeri, Gisleine da Silva
5 Costa, José Maria
6 Urbano, Domingos
7 Marengo, José
Grupo1
2
3
4 CST-CST-SESPG-INPE-MCTIC-GOV-BR
Afiliação1 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
2 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
6 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
7 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
Endereço de e-Mail do Autor1 marcelo.zeri@cemaden.gov.br
2
3
4 gisleine.zeri@inpe.br
Nome do EventoEGU General Assembly
Localização do EventoVienna, Austria
Data07-12 apr.
Histórico (UTC)2019-06-13 11:20:23 :: simone -> administrator :: 2019
2020-01-06 11:42:12 :: administrator -> simone :: 2019
2020-01-06 16:45:34 :: simone -> administrator :: 2019
2021-03-06 19:30:00 :: 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
ResumoSoil moisture is being monitored over the Brazilian semiarid since 2014 using a network of 595 stations. The network was implemented by Cemaden, the National Center for Monitoring and Early Warning of Natural Disasters, with the objective of monitoring of spatial and temporal patterns of soil water and potential impacts on the regions agriculture activities. The Brazilian semiarid is the poorest in the country and hosts most of the family owned farms in Brazil. Crops such as maize and beans are mostly planted over small properties with no irrigation. In this work, agricultural risk is assessed using measurements of soil moisture which are presented in formats that highlight spatial, temporal and short-term variability. The Soil Moisture Index (SMI), based on a normalization of soil moisture by field capacity and wilting point, is used to characterize the current soil moisture conditions in a scale proportional to the water available to plants. The temporal evolution of SMI is used to visualize trends in short-term drought and response to rainfall events at daily time steps or recent weeks. A novel index based on continuous exposure to critical SMI is developed to help bring awareness of real time risk of water stress over the region: the Index of Stress in Agriculture (ISA). The index takes into account continuous exposure to a critical value of SMI (assumed as 0.4), below which water stress is expected to be triggered in plants. The index was tested during a short-term drought over the region and successfully identified locations under water stress for periods of three days or more. The monitoring tools presented here help to describe the real time conditions of drought over the region using daily observations. These tools are expected to be implemented over an online platform hosted at Cemadens website.
ÁreaCST
Arranjourlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Monitoring of soil...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3T4GJU8
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3T4GJU8
Idiomaen
Arquivo AlvoEGU2019-2636.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/449U4PL
Lista de Itens Citando
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Controle da descrição
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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 Acesso16 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
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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
lattes
simone
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 2
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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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3N8LGRS
Repositóriosid.inpe.br/mtc-m21b/2017/01.23.16.07
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/01.23.16.07.23
Última Atualização dos Metadados2021:01.02.03.57.27 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoMaskeGonçMatt:2017:DrIdTh
TítuloDrought Identification through the Soil Moisture Estimated By Satellite and By AGCM-SSiB Model of CPTEC/INPE
Ano2017
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor1 Maske, Bianca Buss
2 Gonçalves, Luis Gustavo Gonçalves de
3 Mattos, João Gerd Zell de
Grupo1
2 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
3 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 SIMEPAR
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2 luis.goncalves@inpe.br
3 joao.gerd@cptec.inpe.br
Nome do EventoAmerican Meteorological Society Annual Meeting, 97
Localização do EventoSeattle
Data21-26 jan.
Histórico (UTC)2017-01-23 16:07:41 :: simone :: 2016 -> 2017
2017-06-02 14:05:59 :: simone -> administrator :: 2017
2021-01-02 03:57:27 :: administrator -> simone :: 2017
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThe drought definition can change with the nature of water deficit and applications. Normally four categories of drought are used: (1) Meteorological drought - when atmospheric conditions cause low precipitation; (2) Hidrological drought - deficit in surface and subsurface water; (3) Agricultural drought - deficit of water for plants; (4) Socioeconomic drought - when human activities are affected. The drought occurence depend of many elements: precipitation anomaly and/or temperature anomaly,anomaly of hidrological variables, terrestrial ecosystem condition and/or human activity. Therefore, drought monitoring need to consider the total environmental moisture, using all indicators that is possible. The indexes more common are: PDSI - Palmer Drought Severity Index, SWPI - Surface Water Supply Index, SPI - Standardized Precipitation Index and Soil Moisture Percentiles. Drought events on Brazil affect fundamental economy sectors and population supply,  therefore directly affect agricultural production, energy production and water supply. According with Brazilian Atlas of Natural Disasters, around 48% of occorence of natural disaster are drought events, when the region most affected is Northeast followed by South and Southeast. Soil moisture is difficultly observated in large scale. To get around this problem is possible to use soil moisture estimated by satellite, mainly in microwave range of the electromagnetic spectrum. This estimate can detect soil moisture in the surface layer, around 5 cm. The satellite data product used in this work is development and provided by European Space Agency (ESA). The product is a combination of passive and active observations of many satellites. Using the Standardized Precipitation Index (SPI) that is a index widely used in drought monitoring centers, were selected 3 cases for analisys: Jan/1998 to Dec/1999, Mar/2007 to Dec/2008 and Jan/2012 to May/2013. Then, it was calculeted soil moisture percentiles for satellite estimates and land surface SSiB model. The land surface SSiB model is coupled with atmospheric general circulation model of CPTEC/INPE, in the version T062L24 that have around 200 km of horizontal resolution and simulation was in the period between Jan/1998 and Dec/2013. Considering that the drought occurence is when the percentile of soil moisture is less than 20, the results indicate that satellite estimates although represent only the surface layer can identify similar drought regions to SPI and find that have a time to response of precipitation occurence, increasing the drought of the hidrological viewpoint. Already land surface SSiB model have difficult to reproduce the events continuously and when the event was simulated correctly, the drought region generally indicated percentiles higher than is observed.
ÁreaMET
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4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Vinculação8JMKD3MGP3W34P/3LKK3KB
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarytype type url versiontype volume
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