1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/3UHCDPL |
Repository | sid.inpe.br/mtc-m21c/2019/12.09.15.12 |
Last Update | 2019:12.09.15.12.45 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2019/12.09.15.12.45 |
Metadata Last Update | 2021:01.03.02.11.26 (UTC) administrator |
DOI | 10.3390/rs11192240 |
ISSN | 2072-4292 |
Citation Key | SantekDNWBGGNCNSOLCDB:2019:20AtMo |
Title | 2018 Atmospheric Motion Vector (AMV) intercomparison study |
Year | 2019 |
Month | Oct. |
Access Date | 2024, May 19 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 5200 KiB |
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2. Context | |
Author | 1 Santek, David 2 Dworak, Richard 3 Nebuda, Sharon 4 Wanzong, Steve 5 Borde, Régis 6 Genkova, Iliana 7 García-Pereda, Javier 8 Negri, Renato Galante 9 Carranza, Manuel 10 Nonaka, Kenichi 11 Shimoji, Kazuki 12 Oh, Soo Min 13 Lee, Byung-Il 14 Chung, Sung-Rae 15 Daniels, Jaime 16 Bresky, Wayne |
ORCID | 1 2 3 4 0000-0001-8493-1221 5 6 7 8 9 10 11 12 0000-0003-2186-1232 13 14 15 0000-0002-9438-6631 |
Group | 1 2 3 4 5 6 7 8 DIDSA-CGCPT-INPE-MCTIC-GOV-BR |
Affiliation | 1 University of Wisconsin-Madison 2 University of Wisconsin-Madison 3 University of Wisconsin-Madison 4 University of Wisconsin-Madison 5 EUMETSAT 6 National Oceanic and Atmospheric Administration (NOAA) 7 Agencia Estatal de Meteorología (AEMET) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 EUMETSAT 10 Japan Meteorological Agency 11 Japan Meteorological Agency 12 Seoul National University 13 Korea Meteorological Administration (KMA) 14 Korea Meteorological Administration (KMA) 15 National Oceanic and Atmospheric Administration (NOAA) 16 National Oceanic and Atmospheric Administration (NOAA) |
Author e-Mail Address | 1 2 3 4 5 6 7 8 renato.galante@inpe.br |
Journal | Remote Sensing |
Volume | 11 |
Number | 19 |
Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2019-12-09 15:12:45 :: simone -> administrator :: 2019-12-09 15:12:46 :: administrator -> simone :: 2019 2019-12-09 15:14:58 :: simone -> administrator :: 2019 2021-01-03 02:11:26 :: administrator -> simone :: 2019 |
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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 |
Keywords | Atmospheric Motion Vectors (AMVs) Intercomparison Himawari CPTEC INPE EUMETSAT JMA KMA NOAA NWCSAF |
Abstract | Atmospheric Motion Vectors (AMVs) calculated by six different institutions (Brazil Center for Weather Prediction and Climate Studies/CPTEC/INPE, European Organization for the Exploitation of Meteorological Satellites/EUMETSAT, Japan Meteorological Agency/JMA, Korea Meteorological Administration/KMA, Unites States National Oceanic and Atmospheric Administration/NOAA, and the Satellite Application Facility on Support to Nowcasting and Very short range forecasting/NWCSAF) with JMA's Himawari-8 satellite data and other common input data are here compared. The comparison is based on two different AMV input datasets, calculated with two different image triplets for 21 July 2016, and the use of a prescribed and a specific configuration. The main results of the study are summarized as follows: (1) the differences in the AMV datasets depend very much on the 'AMV height assignment' used and much less on the use of a prescribed or specific configuration; (2) the use of the 'Common Quality Indicator (CQI)' has a quantified skill in filtering collocated AMVs for an improved statistical agreement between centers; (3) Among the six AMV operational algorithms verified by this AMV Intercomparison, JMA AMV algorithm has the best overall performance considering all validation metrics, mainly due to its new height assignment method: 'Optimal estimation method considering the observed infrared radiances, the vertical profile of the Numerical Weather Prediction wind, and the estimated brightness temperature using a radiative transfer model'. |
Area | MET |
Arrangement | urlib.net > Fonds > Produção anterior à 2021 > DIDSA > 2018 Atmospheric Motion... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/3UHCDPL |
zipped data URL | http://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/3UHCDPL |
Language | en |
Target File | santek_2018.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/43SRC6S |
Citing Item List | sid.inpe.br/bibdigital/2021/01.03.02.10 3 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
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