Affiliation:
1. Programa de Posgrado en Ciencias de la Tierra, Universidad Nacional Autonoma de Mexico, Mexico City 04510, Mexico
2. Escuela Nacional de Estudios Superiores Juriquilla (ENES Juriquilla), Universidad Nacional Autonoma de Mexico, Queretaro 76230, Mexico
Abstract
In this study, the nowcast models provided by the Python pySTEPS library were evaluated using radar derived rain rate data and the satellite product Split-Window Difference (SWD) based on GOES-16 data, focusing on central Mexico. Initially, we obtained a characterization of the rainfall that occurred in the region using the radar rain rate and the SWD. Subsequently the nowcasts were evaluated using both variables. Two nowcast models were employed from pySTEPS: Extrapolation and S-PROG. The results indicate that average SWD is below 2.5 K, 90 min before the onset of rainfall events, and, on average, the SWD is 2 K during rainfall events. The results from both nowcast models were accurate and produced similar results. The nowcasts performed better when SWD data were used as input, having an average Probability of Detection (PoD) above 70% and a False Alarm Rate (FAR) reaching 40% for the 15-min prediction. The nowcasts were less accurate using the radar rain rate as input for the 15-min forecast, where the PoD was maximum 70% and FAR reaching 40%. However, these nowcasts were more reliable during well-organized precipitation events. In this work, it was determined that the nowcast models provided by pySTEPS can provide valuable rain forecasts using GOES-16 satellite and radar data for the central Mexico region.
Reference46 articles.
1. A dynamic and spatial scaling approach to advection forecasting;Seed;J. Appl. Meteorol,2003
2. Hering, A.M., Morel, C., Galli, G., Ambrosetti, P., and Boscacci, M. (2004, January 6–10). Nowcasting thunderstorms in the alpine region using a radar based adaptive thresholding scheme. Proceedings of the Third ERAD together with the COST 717 Final Seminar, Visby, Island of Gotland, Sweden.
3. STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP;Bowler;Q. J. R. Meteorol. Soc.,2006
4. The CASA nowcasting system;Ruzanski;J. Atmos. Ocean. Technol.,2011
5. Can Lagrangian extrapolation of radar fields be used for precipitation nowcasting over complex alpine orography?;Mandapaka;Weather Forecast.,2012