Evaluation of Subseasonal Precipitation Simulations for the Sao Francisco River Basin, Brazil

Author:

Ferreira Nicole C. R.1ORCID,Chou Sin C.1ORCID,Dereczynski Claudine2

Affiliation:

1. National Institute for Space Research, Sāo Paulo 12227-010, Brazil

2. Department of Geoscience, Federal University of Rio de Janeiro, Rio de Janeiro 21941-916, Brazil

Abstract

Water conflicts have been a significant issue in Brazil, especially in the Sao Francisco River basin. Subseasonal forecasts, up to a 60-day forecast range, can provide information to support decision-makers in managing water resources in the river basin, especially before drought events. This report aims to evaluate 5-year mean subseasonal simulations generated by the Eta regional model for the period from 2011 to 2016 and assess the usefulness of this information to support decision-making in water resource conflicts in the Sao Francisco River basin. The capability of the Eta model to reproduce the drought events that occurred between the years 2011 and 2016 was compared against the Climate Prediction Center Morphing (CMORPH) precipitation data. Two sets of 60-day simulations were produced: one started in September (SO) and the other in January (JF) of each year. These months were chosen to evaluate the model’s capability to reproduce the onset and the middle of the rainy seasons in central Brazil, where the upper Sao Francisco River is located. The SO simulations reproduced the observed spatial distribution of precipitation but underestimated the amounts. Precipitation errors exhibited large variability across the subbasins. The JF simulations also reproduced the observed precipitation distribution but overestimated it in the upper and lower subbasins. The JF simulations better captured the interannual variability in precipitation. The 60-day simulations were discretized into six 10-day accumulations to assess the intramonthly variability. They showed that the simulations captured the onset of the rainy season and the small periods of rainy months that occurred in these severe drought years. This research is a critical step to indicate subbasins where the model simulation needs to be improved and provide initial information to support water allocation in the region.

Funder

Agência Nacional de Águas e Abastecimento

Conselho Nacional de Desenvolvimento Científico e Tecnológico

CAPES

Publisher

MDPI AG

Subject

Atmospheric Science

Reference41 articles.

1. Filho, J.G.G., Formiga, K.T., Duarte, R.X., and Sugai, M.R. (2004, January 27–30). Análise da Cheia de 2004 na Bacia do Rio São Francisco. Proceedings of the Simpósio Brasileiro de Desastres Naturais, Florianopolis, Brazil.

2. Medium-range, monthly, and seasonal prediction for Europe and the use of forecast information;Rodwell;J. Clim.,2006

3. The subseasonal to seasonal (S2S) prediction project database;Vitart;Bull. Am. Meteorol. Soc.,2017

4. Köppen’s climate classification map for Brazil;Alvares;Meteorol. Z.,2013

5. A blocking technique for representation of mountains in atmospsheric models;Mesinger;Riv. Meteor. Aeronaut.,1984

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