| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/3TALTFL | |||
| Repository | sid.inpe.br/mtc-m21c/2019/05.16.10.33 (restricted access) | |||
| Last Update | 2019:05.16.10.33.14 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2019/05.16.10.33.14 | |||
| Metadata Last Update | 2021:01.03.02.11.24 (UTC) administrator | |||
| DOI | 10.1080/01431161.2018.1562262 | |||
| ISSN | 0143-1161 | |||
| Citation Key | SiqueiraVila:2019:HyMePr | |||
| Title | Hybrid methodology for precipitation estimation using Hydro-Estimator over Brazil  | |||
| Year | 2019 | |||
| Access Date | 2024, May 19 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 4203 KiB | |||
| 2. Context | ||||
| Author | 1 Siqueira, Ricardo Almeida de 2 Vila, Daniel Alejandro | |||
| Group | 1 MET-MET-SESPG-INPE-MCTIC-GOV-BR 2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 ricardo.siqueira@inpe.br 2 daniel.vila@inpe.br | |||
| Journal | International Journal of Remote Sensing | |||
| Volume | 40 | |||
| Number | 11 | |||
| Pages | 4244-4263 | |||
| Secondary Mark | A1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_INTERDISCIPLINAR A2_GEOGRAFIA A2_ENGENHARIAS_IV A2_ENGENHARIAS_III A2_ENGENHARIAS_I A2_CIÊNCIAS_AMBIENTAIS A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B2_SAÚDE_COLETIVA B2_ODONTOLOGIA B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B5_ASTRONOMIA_/_FÍSICA | |||
| History (UTC) | 2019-05-16 10:33:14 :: simone -> administrator :: 2019-05-16 10:33:14 :: administrator -> simone :: 2019 2019-05-16 10:33:40 :: simone -> administrator :: 2019 2021-01-03 02:11:24 :: administrator -> simone :: 2019 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Abstract | Rainfall measurement is a very important topic to society and for the understanding of the weather and climate, therefore needs to be calculated as accurately as possible. Counteracting the problem of the high temporal and spatial variability of precipitation, geostationary satellites sensors have been proved an excellent tool to this task, providing scans with high temporal resolution and detecting the growth and decay of rain cells. Using infra-red (IR) images obtained from the Geostationary Operational Environmental Satellites (GOES), the Hydro-Estimator (HYDRO) algorithm produces instantaneous precipitation estimates with 30 min temporal resolution and 4 km spatial resolution with a very low latency compared with other more sophisticated methodologies (i.e. passive microwave-based algorithms). However, the IR algorithm has some limitations to estimate precipitation on some cloud systems. In order to overcome this problem, the main objective of this study is to develop a light and fast algorithm, based on the histogram matching (HM) technique, to combine the superior sampling and low latency of the HYDRO IR product with more accurate active microwave-based products over Brazil. The adjusted HYDRO (AHYDRO) product was validated against Brazil rain gauge network for two years (2016-2017) and the performance was assessed by using standard statistical metrics and categorical indices. Results show that the HM technique is able to minimize the large variability and discrepancies among HYDRO and observed precipitation over Brazil. At same time, is able to generate a better bias performance while maintaining the same correlation levels before the adjustment. | |||
| Area | MET | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Hybrid methodology for... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Hybrid methodology for... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | Hybrid methodology for precipitation estimation using Hydro Estimator over Brazil.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher denyfinaldraft12 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3F35TRS 8JMKD3MGPCW/43SRC6S | |||
| Citing Item List | sid.inpe.br/bibdigital/2021/01.03.02.10 4 sid.inpe.br/bibdigital/2013/10.15.01.34 1 | |||
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||