Tabla de contenidos
Sistema de Pronóstico Atmosférico de la Península de Yucatán (PYcast).
Version: beta (06092024)
Notices/Avisos
Meteo products
PYcast generates 4-day forecast of different meteorological fields (e.g., temperature, rain, cloud cover) for two domains with ~15 km (D01) and ~5 km (D02) resolution. See below the coverage area of each domain, and the links to see the products.
Fig. 1. PYcast computational domains.
<< 4-day forecast >>
D01 available outputs:
D02 available outputs:
Tropical cyclone warnings
Useful external information:
Modelling system
+ WRF-ARW modelling system WRF v4.4 (Skamarock et al., 2019).
+ Post-processing and visualization: NCL (NCAR, 2019), python (Van Rossum et al., 2009).
Team
+Escuela Nacional de Estudios Superiores – Unidad Mérida, UNAM:
- Juan C. Zavala-Reyes (PI),
- Francisco Xavier Chiappa,
- Iris Neri Flores.
- Ismael de Jesús Mariño Tapia
+Instituto de Ingeniería – Unidad Académica SISAL:
- Bernardo Figueroa Espinoza.
+ICAyCC, UNAM:
- Aron Jazcilevich,
- J. Agustín García Reynoso,
- Michel Grutter de la Mora.
- Victor Hugo Almanza Veloz.
+Centro de Investigación Científica de Yucatán (CICY):
- Regina de Monserrat González Balderas.
References
Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. doi:10.5065/1dfh-6p97
The NCAR Command Language (Version 6.6.2) [Software]. (2019).
Boulder, Colorado: UCAR/NCAR/CISL/TDD. http://dx.doi.org/10.5065/D6WD3XH5
Van Rossum, G., & Drake, F. L. (2009). Python 3 Reference Manual. Scotts Valley, CA: CreateSpace.