Dyna (Nov 2020)

CFSR- NCEP Performance for weather data forecasting in the Pernambuco Semiarid, Brazil

  • Marcela Daniela Mollericona Alfaro,
  • Iug Lopes,
  • Abelardo Antônio Assunção Montenegro,
  • Brauliro Gonçalves Leal

DOI
https://doi.org/10.15446/dyna.v87n215.89952
Journal volume & issue
Vol. 87, no. 215

Abstract

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The present study aims to evaluate meteorological data -with real time actualization- from the Climate Forecast System Reanalysis (CFRS) of the National Centers for Environmental Prediction (NCEP), comparing them with data from local stations in two mesoregions: Sertão de Pernambuco (SP) and Sertão do São Francisco (SFF), semi-arid region of Pernambuco, Brazil. Statistical performance indicators were used for the period since 1979 to 2014 and the variables: precipitation (P), average, minimum and maximum temperature (Tm, Tn, Tx respectively), relative humidity (HR), wind speed (Vv), solar radiation (RS) and potential evapotranspiration (ETo). Tn, Tm and Tx showed the best results for the determination coefficient (R2), Willmott concordance index (d), Nash-Sutcliffe efficiency index (NSE) and percentage bias (PBIAS). ETo, P and HR obtained acceptable values for R2, d and NSE. CFSR data shows good performance with d values between 0.63 and 0.94.

Keywords