| 1. Identity statement | |
| Reference Type | ePrint (Electronic Source) |
| Site | mtc-m16b.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 6qtX3pFwXQZGivnK2Y/Nzs42 |
| Repository | sid.inpe.br/mtc-m17@80/2006/12.26.13.54 |
| Last Update | 2006:12.26.14.00.21 (UTC) administrator |
| Metadata Repository | sid.inpe.br/mtc-m17@80/2006/12.26.13.54.08 |
| Metadata Last Update | 2021:02.10.23.13.34 (UTC) administrator |
| Citation Key | DelgadoMABRLGN::RaEsMe |
| Title | Rainfall estimation method using satellite imagery over South America  |
| Last Update Date | 2006-12-27 |
| Access Date | 2024, Dec. 26 |
| Type of Medium | On-line |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 1097 KiB |
| 2. Context | |
| Author | 1 Delgado, Germán 2 Machado, Luiz Augusto Toledo 3 Angelis, Carlos Frederico 4 Bottino, Marcus Jorge 5 Redaño, Ángel 6 Lorente, Jerónimo 7 Gimeno, Luis 8 Nieto, Raquel |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMS |
| Group | 1 DSA-INPE-MCT-BR |
| Affiliation | 1 Astronomy and Meteorology Department, University of Barcelona, Spain 2 Instituto Nacional de Pesquisas Espaciais (INPE), Centro de Previsã 3 Instituto Nacional de Pesquisas Espaciais (INPE), Centro de Previsão de Tempo e Estudos Climáticos (CPTEC) 4 Instituto Nacional de Pesquisas Espaciais (INPE), Centro de Previsão de Tempo e Estudos Climáticos (CPTEC) 5 Astronomy and Meteorology Department, University of Barcelona, Spain 6 Astronomy and Meteorology Department, University of Barcelona, Spain 7 Astronomy and Meteorology Department, University of Barcelona, Spain 8 Astronomy and Meteorology Department, University of Barcelona, Spain |
| Author e-Mail Address | 1 machado@cptec.inpe.br 2 bottino@cptec.inpe.br 3 bottino@cptec.inpe.br |
| e-Mail Address | atus@cptec.inpe.br |
| Alternate Publication | Journal Applied Meteorology |
| Producer | Instituto Nacional de Pesquisas Espaciais |
| City | São José dos Campos |
| Stage of Alternate Publication | submitted |
| Progress | ePrint update |
| History (UTC) | 2006-12-26 14:00:21 :: estagiario -> administrator :: 2007-11-27 14:33:46 :: administrator -> banon :: 2007-11-27 14:39:43 :: banon -> estagiario :: 2010-05-11 16:59:58 :: estagiario -> administrator :: 2021-02-10 23:13:34 :: administrator -> marciana :: |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | work-in-progress |
| Transferable | 1 |
| Keywords | mesoscale convective system (MCS) precipitation radar products (PR) TRMM satellite GOES IR |
| Abstract | The importance of the relationship between the life cycle of the mesoscale convective system (MCS) and the rainfall rate it produces has been reported in several works. In spite of that, a specific quantification of this relationship has not been found. Our aim was to find an empirical relationship between the characteristics that describe the MCS life cycle and the amount of rainfall rate it produces in order to develop a rainfall rate estimation algorithm. This paper reports a rainfall satellite estimation technique using the Precipitation Radar product (PR) onboard the TRMM Satellite, GOES IR (10.5 ìm) brightness temperature (Tb), an IR-VIS (0.65ìm) cloud classification and radiative properties of clouds over the life cycle of deep convective systems. Numerous earlier studies focus on this subject using patch or pixel-based techniques. We use both techniques with satisfactory results when compared with the Hydroestimator technique. The algorithm first associates rain with the colder pixels belonging to a certain cloud type (convective clouds, cumulus and cold stratiform clouds). The rainfall estimation is carried out using the MCS properties (expansion and difference mean temperature among others), the internal brightness temperature (Tb) variability of the pixel for every cloud type and some statistical assumptions. The method performs reasonably well in the case of convective, but also for stratiform rainfall, although it tends to overestimate rainfall rates values. |
| Area | MET |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Rainfall estimation method... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZGivnK2Y/Nzs42 |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZGivnK2Y/Nzs42 |
| Language | en |
| Target File | v1.pdf |
| User Group | administrator estagiario administrator |
| Visibility | shown |
| Read Permission | allow from all |
| Update Permission | transferred to ePrint update |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/43SRC6S |
| Citing Item List | sid.inpe.br/bibdigital/2021/01.03.02.10 4 sid.inpe.br/mtc-m21/2012/07.13.14.54.06 4 |
| Host Collection | lcp.inpe.br/ignes/2004/02.12.18.39 cptec.inpe.br/walmeida/2003/04.25.17.12 |
| 6. Notes | |
| Empty Fields | accessyear archivingpolicy archivist contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition format isbn issn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url versiontype year |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |