02361naa a2200289 a 450000100080000000500110000800800410001902400520006010000210011224501330013326000090026652014830027565000240175865000090178265000100179165000210180165000250182265300090184770000200185670000250187670000170190170000190191870000190193770000250195670000230198177300670200421577122024-01-25       2024    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1007/s00704-023-04670-32DOI1 aMATSUNAGA, W. K.  aApplication of ERA5-Land reanalysis data in zoning of climate risk for corn in the state of Bahia-Brazil.h[electronic resource]  c2024  aThe agricultural zoning of climate risk (AZCR) is a fundamental tool for agricultural activities, as it identifies regions and times of lower climatic risk for planting and sowing crops. An AZCR representative of large areas requires a network of meteorological stations with dense spatial distribution, routine, and accurate observations. In Brazil, there is a good spatial distribution of rain gauges, but there is a scarcity in the spatial distribution of meteorological stations necessary to conduct an AZCR. One way to overcome the lack of data observed in situ is to use reanalysis data. However, it is necessary to show that it is possible to perform a reliable AZCR using it. Therefore, the objective of this research is to elaborate an AZCR for corn in the state of Bahia using reanalysis data and quantifying its viability. The ERA5-Land reanalysis database was chosen. When performing the validation of the ERA5-Land reanalysis data, it was verified that rainfall was the only meteorological variable needed for an AZCR that did not present seasonal and interannual values and variability similar to those already observed. Therefore, it was decided to validate the rainfall data from the CPC/NOAA Precipitation Project. With data from the ERA5-Land and CPC/NOAA Precipitation Project reanalysis validated, the AZCR for corn was performed in the state of Bahia, leading to the conclusion that it is possible to develop a reliable and robust AZCR with reanalysis data.  aAgricultural zoning  aCorn  aMilho  aRisco Climático  aZoneamento Agrícola  aZARC1 aSALES, E. S. G.1 aASSIS JÚNIOR, G. C.1 aSILVA, M. T.1 aLACERDA, F. F.1 aLIMA, E. de P.1 aSANTOS, C. A. C. dos1 aBRITO, J. I. B. de  tTheoretical and Applied Climatologygv. 155, p. 945-963, 2024.