Application of ERA5-Land reanalysis data in climate risk zoning for maize in the state of Bahia - Brazil

Autor: Wendy Kaori Matsunaga, Eliton Sancler Gomes Sales, Gervásio Costa Assis Júnior, Madson Tavares Silva, Francinete Francis Lacerda, Evaldo Paiva Lima, Carlos Antonio Costa Santos, José Ivaldo Barbosa Brito
Rok vydání: 2023
Popis: Agricultural Zoning of Climate Risk (AZCR) is a fundamental tool for agricultural activities because it identifies regions and times of lower climate risk for planting and sowing crops, aiming to minimize the agricultural losses arising from climate hazards. In Brazil, AZCR has been used since 1996 as an official agricultural policy instrument. However, optimal AZCR representative of large areas require a network of meteorological stations with excellent spatial distribution, routine and accurate observations, and reliable data. Precipitation gauges that perform reliable measurements of precipitation have a good distribution in the Northeast region of Brazil. However, weather stations in this region are scarce. When weather stations are absent at a given location, input variables for AZCR are interpolated, which can lead to errors. Thus, seeking to solve the problem of the shortage of weather stations and improve the spatial distribution of information on meteorological variables, this study aimed to validate data from the ERA5-Land reanalysis of the European Center for Medium-Range Weather Forecasts and the CPC Precipitation Project. Once the data were validated, an AZCR was performed for the maize crop in the entire state of Bahia, in a 0.5° x 0.5° grid. It was observed that, with the exception of the far north mesoregion and a small area in the valley of Paraguaçu, the state of Bahia presented large areas suitable for planting of maize crops at different times of the year, with emphasis on areas in the southeast of the state that are suitable for planting all year round.
Databáze: OpenAIRE