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| Moraes,Rafael A.; Rocha,Jansle V.; Lamparelli,Rubens A. C.. |
| The climate variability between the growth and harvesting of sugar cane is very important because it directly affects yield. The MODIS sensor has characteristics like spatial and temporal resolution that can be applied to monitoring of vegetative vigor variability in the land surface and then, temporal profiles generation. Agro meteorological data from ECMWF model are free and easy to access and have a good representation of reality. In this study, we used the period between sugar cane growth and harvest in the state of Sao Paulo, Brazil, from temporal profiles selecting of NDVI behavior. For each period the precipitation, evapotranspiration, global radiation, length (days) and degree-days were accumulated. The periods were presented in a map format on... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agro meteorological variable; ECMWF; MODIS; Sugar cane. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000200013 |
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| Yin, Xiaobin; Boutin, Jacqueline; Martin, Nicolas; Spurgeon, Paul; Vergely, Jean-luc; Gaillard, Fabienne. |
| The wind speed (WS) provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) is used to initialize the retrieval process of WS and Sea Surface Salinity (SSS) obtained by the Soil Moisture and Ocean Salinity (SMOS) mission. This process compensates for the lack of onboard instrument providing a measure of ocean surface WS independent of the L-band radiometer measurements. The SMOS-retrieved WS in the center of the swath (± 300 km) is adjusted regarding to its a priori estimate. The quality of the SMOS-retrieved SSS (SSSSMOS) is better at the center of the swath than at the edge of the swatch because the larger number of brightness temperature measurements available at the center of the swath reduces the effects of noise and because the... |
| Tipo: Text |
Palavras-chave: SMOS; SSMIS; ECMWF; Wind speed; Salinity. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00158/26970/25261.pdf |
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| Aparecido,Lucas Eduardo de Oliveira; Rolim,Glauco de Souza; Richetti,Jonathan; Souza,Paulo Sergio de; Johann,Jerry Adriani. |
| ABSTRACT Climate is the set of average atmospheric conditions that characterizes a region. It directly influences the majority of human activities, especially agriculture. Climate classification systems (CCSs) are important tools in the study of agriculture, enabling knowledge of the climatic characteristics of a region. Thus, we aimed to perform the climatic characterization of the State of Paraná using the methods proposed by Köppen and Geiger (1928), modified by Trewartha (1954) (KT), Thornthwaite (1948) (TH) and Camargo (1991) and modified by Maluf (2000) (CM), using data from the European Center for Medium-Range Weather Forecast (ECMWF) model. The results of spatial interpolation (virtual stations) were performed using the Kriging method in spherical... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Water balance; Agriculture; Climatic characterization; ECMWF. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000400405 |
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