Weather data and forecasts are fundamental to many application and practical uses: agricultural production, forest meteorology, air pollution, civil protection, transportation, energy production, water resources management, environmental health and many others.
All these fields, together with the development of local climate-change mitigation and adaptation strategies, needs reliable meteorological observations and forecasts at a high temporal frequency and small horizontal spacing.
The appled meteorology section of CRC constantly uses surface weather data, space-based measurements (meteorological satellites) and weather forecasts to support and develop new applications in the aforementioned fields.
Meteorological data quality control and reconstruction
We developed many automatic procedures for the quality control, the reconstruction and the interpolation of meteorological data. Such procedures are being organized in an open-source Python Library called “MetPyQC” (https://pypi.org/project/MetPyQC/) , which could be used in the future by any local weather service.
- 2021 – Programma d’intervento per l’analisi della rete meteorologica umbra e suo adeguamento agli standard internazionali. This project has been founded by Umbria regional authorities. In particular, the applied meteorology section of CRC has outlined a regional strategy in order to improve the regional meteorological network in Umbria.
- 2018 – 2020 – Spatialmeteo DSS. This project has been founded by the European Agricultural Fund for Rural Development (2014-2020). UNIPG was in charge of developing automatic procedures for the spatial interpolation of agro-meteorological data. (https://www.lungarotti.it/files/spatialmeteo.pdf)
- 2018 – 2020 – SMARTMETEO: Network for the development of an innovative agro-meteorological and phytopatological monitoring system. This project has been founded by the European Agricultural Fund for Rural Development (2014-2020). The goal was to implement a regional network aimed to support phytopathological modeling and smart alert systems in order to: increase farm resilience to adverse meteorological phenomena; increase resilience by means of intelligent identification and early treatment of plant-pathology technologies; reduction in the use of pesticides. UNIPG was in charge of developing automatic procedure for meteorological data quality control. (https://www.smartmeteo.it/)
- 2014 – 2015 – MeteoWine. Monitoring of climatic and environmental conditions for the development of meteorological models and plant protection models for the production of high quality grapes in Umbria. UNIPG was in charge of introducing and developing innovative methods and technologies for the monitoring of meteorological conditions in Umbria. (https://www.parco3a.org/progetti/il-monitoraggio-delle-condizioni-climatico-ambient)
Publications
Silvestri, L., Saraceni, M., & Bongioannini Cerlini, P., Quality management system and design of an integrated mesoscale meteorological network in Central Italy. Meteorological Applications, 29(2), e2060. https://doi.org/10.1002/met.2060 (2022).
Bongioannini Cerlini, P. B., Silvestri, L., & Saraceni, M., Quality control and gap-filling methods applied to hourly temperature observations over central Italy. Meteorological Applications, 27(3), e1913. https://doi.org/10.1002/met.1913 (2020).
Bongioannini Cerlini, P. & Silvestri, L., Validation of a regional agro-meteorological network in Central Italy using ECMWF ERA5 reanalysis. Earth and Space Science Open Archive ESSOAr, https://www.essoar.org/doi/abs/10.1002/essoar.10500963.1, (2019).
Paolina Bongioannini Cerlini, This email address is being protected from spambots. You need JavaScript enabled to view it.
Lorenzo Silvestri, This email address is being protected from spambots. You need JavaScript enabled to view it.
Miriam Saraceni, This email address is being protected from spambots. You need JavaScript enabled to view it.