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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Modeling monthly mean air temperature for Brazil

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Author(s):
Alvares, Clayton Alcarde [1, 2] ; Stape, Jose Luiz [3, 4] ; Sentelhas, Paulo Cesar [5] ; de Moraes Goncalves, Jose Leonardo [6]
Total Authors: 4
Affiliation:
[1] Forestry Sci & Res Inst IPEF, BR-13415000 Sao Paulo - Brazil
[2] FPC, BR-13415000 Sao Paulo - Brazil
[3] N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 - USA
[4] FPC, Raleigh, NC 27695 - USA
[5] Univ Sao Paulo, Coll Agr Luiz de Queiroz, Dept Biosyst Engn, BR-13418900 Sao Paulo - Brazil
[6] Univ Sao Paulo, Coll Agr Luiz de Queiroz, Dept Forestry Sci, BR-13418900 Sao Paulo - Brazil
Total Affiliations: 6
Document type: Journal article
Source: THEORETICAL AND APPLIED CLIMATOLOGY; v. 113, n. 3-4, p. 407-427, AUG 2013.
Web of Science Citations: 36
Abstract

Air temperature is one of the main weather variables influencing agriculture around the world. Its availability, however, is a concern, mainly in Brazil where the weather stations are more concentrated on the coastal regions of the country. Therefore, the present study had as an objective to develop models for estimating monthly and annual mean air temperature for the Brazilian territory using multiple regression and geographic information system techniques. Temperature data from 2,400 stations distributed across the Brazilian territory were used, 1,800 to develop the equations and 600 for validating them, as well as their geographical coordinates and altitude as independent variables for the models. A total of 39 models were developed, relating the dependent variables maximum, mean, and minimum air temperatures (monthly and annual) to the independent variables latitude, longitude, altitude, and their combinations. All regression models were statistically significant (alpha a parts per thousand currency signaEuro parts per thousand 0.01). The monthly and annual temperature models presented determination coefficients between 0.54 and 0.96. We obtained an overall spatial correlation higher than 0.9 between the models proposed and the 16 major models already published for some Brazilian regions, considering a total of 3.67 x 10(8) pixels evaluated. Our national temperature models are recommended to predict air temperature in all Brazilian territories. (AU)

FAPESP's process: 08/05744-0 - Elaboration, calibration and validation of an edafoclimatological model of forest productivity integrated with geographical information system
Grantee:Clayton Alcarde Alvares
Support type: Scholarships in Brazil - Doctorate (Direct)