EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Verification of ECMWF SEAS5 precipitation seasonal forecasting using ERA5 and observations for Brazilian Hidro Power Plants

Nathalli Rogiski da Silva1, Reinaldo Bomfim da Silveira1, Camila Freitas2, Cassia Silmara Aver Paranhos2, André Luiz de Campos1, and Leandro Ávila Rangel1
Nathalli Rogiski da Silva et al.
  • 1Sistema de Tecnologia e Monitoramento Ambiental do Paraná (SIMEPAR), Curitiba, Brazil
  • 2Companhia Paranaense de Energia (COPEL GeT), Curitiba, Brazil

The Electric Energy Company of Parana (COPEL GeT), the Meteorological System of Parana (SIMEPAR) and RHAMA Consulting company are undertaking the research project PD-6491-0503/2018 for the development of a hydrometeorological seasonal forecasting for Brazilian reservoirs. The project, sponsored by the Brazilian Electricity Regulatory Agency (ANEEL) under its research and development programme, aims the forecasting of streamflow, at temporal scales ranging from 1 to 270 days, at hydro power enterprises, which are integrated by the National Power System Operator (ONS) through its Interconnected System (SIN). In the present work, we verify the precipitation seasonal product from SEAS5 from ECMWF against three references, namely model climatology, ERA5 reanalysis and in-situ observations. In order to achieve the results, we extract the values from the model, respectively to the closest location of observations within Brazilian rain gauge network, corresponding to hydro power plants, and compare them to the observed values and ERA5 results, for the period from 2000 to 2020. The accuracy measurement was performed by settling a contingency matrix to estimate the probability of detection (POD), probability of false detection (POFD), the ROC curve, the area under the ROC (AUC) and other related metrics. The statistics are gathered by monthly and by season and by considering three quantile thresholds of rainfall distribution for forecasting, computed for 153 reservoirs of the SIN. The results describe a good performance of SEAS5 for either monthly or seasonal forecast if compared to climatology or ERA5, but less accuracy if compared to the rain gauges, mainly for low quantiles. Despite this, by considering the large extension of the country and its climate diversity, we noticed the SEAS5 is quite promising for using on hydrological forecasting at seasonal scale.

How to cite: Rogiski da Silva, N., Bomfim da Silveira, R., Freitas, C., Silmara Aver Paranhos, C., Luiz de Campos, A., and Ávila Rangel, L.: Verification of ECMWF SEAS5 precipitation seasonal forecasting using ERA5 and observations for Brazilian Hidro Power Plants, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-14249,, 2023.