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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br (namespace prefix: upn:33M4QT8)
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/42M72PP
Repositorysid.inpe.br/plutao/2020/06.16.01.56   (restricted access)
Last Update2020:06.17.18.57.58 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2020/06.16.01.56.41
Metadata Last Update2022:01.04.01.31.17 (UTC) administrator
DOI10.1007/s00703-020-00738-1
ISSN0177-7971
Labellattes: 4336175279058172 5 MoretoRolEstVanCha:2020:SuDeSu
Citation KeyMoretoRolEstVanCho:2020:SuDeSu
TitleSugarcane decision-making support using Eta Model precipitation forecasts
Year2020
Access Date2025, Dec. 07
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1614 KiB
2. Context
Author1 Moreto, Victor B.
2 Rolim, Glauco de S.
3 Esteves, João T.
4 Vanuytrecht, Eline
5 Chou, Sin Chan
Group1
2
3
4
5 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
Affiliation1 Universidade de São Paulo (USP)
2 Universidade de São Paulo (USP
3 Universidade de São Paulo (USP
4 Flemish Institute for Technological Research (VITO)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 victor.moreto@hotmail.com
2
3
4
5 chou.chan@inpe.br
JournalMeteorology and Atmospheric Physics
Volume132
Number3
Pages1-2
Secondary MarkB1_INTERDISCIPLINAR B1_GEOCIÊNCIAS B1_CIÊNCIAS_AMBIENTAIS B5_ASTRONOMIA_/_FÍSICA
History (UTC)2020-06-16 01:56:41 :: lattes -> administrator ::
2020-06-17 18:55:55 :: administrator -> lattes :: 2020
2020-06-23 22:26:35 :: lattes -> administrator :: 2020
2022-01-04 01:31:17 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAvaliacao de Previsao
erro de previsão
Modelo Eta
AbstractAgricultural activity is largely infuenced by climatic conditions. Rainfall is essential for crop production, and precipitation events also interfere with soil preparation, planting, application of pesticides and harvesting. Weather forecast models are tools to facilitate decision making for agricultural activities, hence high accuracy is desired. Farmers often criticize the accuracy of weather forecasts, which sometimes fail to predict precipitation events, leading to yield loss and environmental harm. In this study, precipitation forecasts of the Eta Model were evaluated for 28 of Brazils most productive sugarcane areas, considering a grid of 15×15 km. Using a combination of diferent indicators of forecast success, observed and forecasted daily precipitation data were compared for consecutive days of all 10-day periods in a course of 6 years (20052010). Skill scores and performance diagrams based on the indicators were used to evaluate the goodness and robustness of the model forecasts. The Eta Model forecasts showed overall accuracies ranging between 55 and 71% for the Atlantic forest biomes (located North-West and South-East of São Paulo) and the Cerrado biomes (located in the Goiás State and in the Center-North São Paulo State), respectively. The forecasts were most reliable for up to 4 days, showing an accuracy of 60%. Forecasts for periods of more than 4 days had an average accuracy of 4050%. The probability of detecting rainfall correctly was the strongest characteristic of Eta Model, with more than 70% hits.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Sugarcane decision-making support...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filemoreto_sugarcane.pdf
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SKC35
Citing Item Listsid.inpe.br/bibdigital/2021/01.01.17.20 - 21
DisseminationWEBSCI; PORTALCAPES; COMPENDEX.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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