Climate Change Data Portal
DOI | 10.5194/he-22-5041-2018 |
Seasonal drought prediction for semiarid northeastern Brazil: Verification of six hydro-meteorological forecast products | |
Delgado J.M.; Voß S.; Bürger G.; Vormoor K.; Murawski A.; Pereira J.M.R.; Martins E.; Vasconcelos Júnior F.; Francke T. | |
发表日期 | 2018 |
ISSN | 1027-5606 |
起始页码 | 5041 |
结束页码 | 5056 |
卷号 | 22期号:9 |
英文摘要 | A set of seasonal drought forecast models was aßeßed and verified for the Jaguaribe River in semiarid northeastern Brazil. Meteorological seasonal forecasts were provided by the operational forecasting system used at FUNCEME (Ceará's research foundation for meteorology) and by the European Centre for Medium-Range Weather Forecasts (ECMWF). Three downscaling approaches (empirical quantile mapping, extended downscaling and weather pattern claßification) were tested and combined with the models in hindcast mode for the period 1981 to 2014. The forecast ißue time was January and the forecast period was January to June. Hydrological drought indices were obtained by fitting a multivariate linear regreßion to observations. In short, it was poßible to obtain forecasts for (a) monthly precipitation, (b) meteorological drought indices, and (c) hydrological drought indices. The skill of the forecasting systems was evaluated with regard to root mean square error (RMSE), the Brier skill score (Bß) and the relative operating characteristic skill score (ROCß). The tested forecasting products showed similar performance in the analyzed metrics. Forecasts of monthly precipitation had little or no skill considering RMSE and mostly no skill with Bß. A similar picture was seen when forecasting meteorological drought indices: low skill regarding RMSE and Bß and significant skill when discriminating hit rate and false alarm rate given by the ROCß (forecasting drought events of, e.g., SPEI1 showed a ROCß of around 0.5). Regarding the temporal variation of the forecast skill of the meteorological indices, it was greatest for April, when compared to the remaining months of the rainy season, while the skill of reservoir volume forecasts decreased with lead time. This work showed that a multi-model ensemble can forecast drought events of timescales relevant to water managers in northeastern Brazil with skill. But no or little skill could be found in the forecasts of monthly precipitation or drought indices of lower scales, like SPI1. Both this work and those here revisited showed that major steps forward are needed in forecasting the rainy season in northeastern Brazil. © Author(s) 2018. |
语种 | 英语 |
scopus关键词 | Drought; Mean square error; Reservoirs (water); European centre for medium-range weather forecasts; Hydrological droughts; Meteorological drought; Meteorological index; Multi-model ensemble; Operational forecasting; Relative operating characteristics; Root mean square errors; Weather forecasting |
来源期刊 | Hydrology and Earth System Sciences
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159903 |
作者单位 | Delgado, J.M., Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany; Voß, S., Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany; Bürger, G., Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany; Vormoor, K., Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany; Murawski, A., German Research Centre of Geosciences GFZ Potsdam, Potsdam, Germany; Pereira, J.M.R., Research Institute for Meteorology and Water Resources - FUNCEME, Fortaleza, Brazil; Martins, E., Research Institute for Meteorology and Water Resources - FUNCEME, Fortaleza, Brazil; Vasconcelos Júnior, F., Research Institute for Meteorology and Water Resources - FUNCEME, Fortaleza, Brazil; Francke, T., Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany |
推荐引用方式 GB/T 7714 | Delgado J.M.,Voß S.,Bürger G.,et al. Seasonal drought prediction for semiarid northeastern Brazil: Verification of six hydro-meteorological forecast products[J],2018,22(9). |
APA | Delgado J.M..,Voß S..,Bürger G..,Vormoor K..,Murawski A..,...&Francke T..(2018).Seasonal drought prediction for semiarid northeastern Brazil: Verification of six hydro-meteorological forecast products.Hydrology and Earth System Sciences,22(9). |
MLA | Delgado J.M.,et al."Seasonal drought prediction for semiarid northeastern Brazil: Verification of six hydro-meteorological forecast products".Hydrology and Earth System Sciences 22.9(2018). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。