| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m16b.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Repository | cptec.inpe.br/adm_conf/2005/11.01.01.23 | |||
| Last Update | 2006:04.15.16.16.38 (UTC) administrator | |||
| Metadata Repository | cptec.inpe.br/adm_conf/2005/11.01.01.23.42 | |||
| Metadata Last Update | 2018:06.05.03.43.05 (UTC) administrator | |||
| Citation Key | CostaCaAmViSaCaRi:2006:FoFoIn | |||
| Title | Fog forecast in the international airport of maceió, brazil, using artificial neural nets  | |||
| Format | CD-ROM, On-line. | |||
| Year | 2006 | |||
| Access Date | 2024, Dec. 26 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 1918 KiB | |||
| 2. Context | ||||
| Author | 1 Costa, Saulo Barros 2 Carvalho, Frede de Oliveira 3 Amorim, Ricardo Ferreira Carlos 4 Viana, Antonio Marcos 5 Santos, Deydila Michele Bonfim dos 6 Carvalho, Vera Núbia 7 Ribeiro, João Carlos | |||
| Affiliation | 1 Universidade Federal de Alagoas (UFAL)- Campus A. C. Simões, BR 104 - Norte 2 Tabuleiro dos Martins, Km 97, CEP 57072-970. - Maceió - AL, Brasil (Carvalho 3 Amorim 4 Costa 5 Vianna 6 Santos 7 Carvalho 8 Ribeiro) | |||
| Author e-Mail Address | 1 Saulo Barros Costa, saulobc@gmail.com 2 Frede de Oliveira Carvalho, fredecarvalho@yahoo.com.br 3 Ricardo Ferreira Carlos Amorim, rfca@fapeal.br 4 Antonio Marcos Viana, marcos.vianna@gmail.com 5 Deydila Michele Bonfim dos Santos 6 Vera Núbia Carvalho Farias, vera_nubia@hotmail.com 7 João Carlos Ribeiro, jcro_@hotmail.com | |||
| Editor | Vera, Carolina Nobre, Carlos | |||
| e-Mail Address | saulobc@hotmail.com | |||
| Conference Name | International Conference on Southern Hemisphere Meteorology and Oceanography, 8 (ICSHMO). | |||
| Conference Location | Foz do Iguaçu | |||
| Date | 24-28 Apr. 2006 | |||
| Publisher | American Meteorological Society (AMS) | |||
| Publisher City | 45 Beacon Hill Road, Boston, MA, USA | |||
| Pages | 1741-1750 | |||
| Book Title | Proceedings | |||
| Tertiary Type | Poster | |||
| Organization | American Meteorological Society (AMS) | |||
| History (UTC) | 2005-11-01 01:23:42 :: saulobc@hotmail.com -> administrator :: 2005-11-11 21:55:11 :: administrator -> adm_conf :: 2005-12-15 23:54:23 :: adm_conf -> saulobc@hotmail.com :: 2006-03-31 17:30:36 :: saulobc@hotmail.com -> adm_conf :: 2006-03-31 17:48:12 :: adm_conf -> administrator :: 2006-04-18 21:20:24 :: administrator -> lise@dpi.inpe.br :: 2010-12-28 12:36:50 :: lise@dpi.inpe.br -> administrator :: 2010-12-29 15:59:12 :: administrator -> lise@dpi.inpe.br :: 2006 2010-12-29 16:06:16 :: lise@dpi.inpe.br -> administrator :: 2006 2010-12-29 18:54:54 :: administrator -> banon :: 2006 2011-01-02 17:15:16 :: banon -> administrator :: 2006 2018-06-05 03:43:05 :: administrator -> :: 2006 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | Forecast Fog Artificial Neural Nets | |||
| Abstract | The different types of fog are defined of general way, as being microscopical liquid water particles in suspension in the atmosphere, however very next to the ground capable to reduce the horizontal visibility for less of 1km (INMET, 1999). In view of the diverse upheavals caused for low the visibility and occurrence of fogs, such as, restrictions of the aeronautics operations in the airports, road accidents, damage to the health (when mixed the toxic residues and breathed) one extremely becomes important the forecast and the knowledge on such phenomena (Silveira, 2003; Oliveira, 1998). Had to the low computational and financial cost and the possibility of generation of trustworthy results using a meteorological station (a time that a good distribution of stations together with its generated information rare is accessible), a system for fog forecast is presented in this work in the International airport Zumbi of the Palmares (Maceió-Al), based in Artificial Neural Nets (RNAs) and in historical data, such as direction and speed of the wind, temperature and temperature of the dew point, visibility, etc, gotten in the meteorological station of the airport, being these used to validate and to construct a forecast model aiming at better to characterize and to identify this phenomenon. "RNA" consists of one technique of Artificial Intelligence, being its elaboration inspired in the cerebral structure human being and its capacity to assimilate very with the experience being used as regulating of function and recognized of standards. Therefore, in this work they had been used a description of hourly data during the year of 2004. The developed methodology revealed applicable standing out the how much bigger fact of the description and the quality of the best data the efficiency of the synthecized system of forecast. | |||
| Area | MET | |||
| Type | Weather analysis and forecasting | |||
| doc Directory Content | access | |||
| source Directory Content |
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| agreement Directory Content | there are no files | |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/11.01.01.23 | |||
| zipped data URL | http://urlib.net/zip/cptec.inpe.br/adm_conf/2005/11.01.01.23 | |||
| Language | en | |||
| Target File | 1741-1750.pdf | |||
| User Group | saulobc@hotmail.com administrator | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Host Collection | cptec.inpe.br/nobre/2005/06.02.21.14 cptec.inpe.br/walmeida/2003/04.25.17.12 | |||
| 6. Notes | ||||
| Mark | 1 | |||
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group identifier isbn issn label lineage mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume | |||