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Open AccessArticle

Meteorological OSSEs for New Zenith Total Delay Observations: Impact Assessment for the Hydroterra Geosynchronous Satellite on the October 2019 Genoa Event

1
CIMA Research Foundation, 17100 Savona, Italy
2
Department of Civil and Environmental Engineering, Politecnico of Milano, 20133 Milan, Italy
3
Department of Civil, Chemical and Environmental Engineering, University of Genoa, 16145 Genoa, Italy
4
Department of Electronics, Information and Bioengineering, Politecnico of Milano, 20133 Milan, Italy
5
ESA—European Space Agency, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
6
School of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(22), 3787; https://doi.org/10.3390/rs12223787
Received: 26 October 2020 / Revised: 16 November 2020 / Accepted: 17 November 2020 / Published: 18 November 2020
(This article belongs to the Special Issue Remote Sensing of the Water Cycle)
Along the Mediterranean coastlines, intense and localized rainfall events are responsible for numerous casualties and several million euros of damage every year. Numerical forecasts of such events are rarely skillful, because they lack information in their initial and boundary conditions at the relevant spatio-temporal scales, namely O(km) and O(h). In this context, the tropospheric delay observations (strongly related to the vertically integrated water vapor content) of the future geosynchronous Hydroterra satellite could provide valuable information at a high spatio-temporal resolution. In this work, Observing System Simulation Experiments (OSSEs) are performed to assess the impact of assimilating this new observation in a cloud-resolving meteorological model, at different grid spacing and temporal frequencies, and with respect to other existent observations. It is found that assimilating the Hydroterra observations at 2.5 km spacing every 3 or 6 h has the largest positive impact on the forecast of the event under study. In particular, a better spatial localization and extent of the heavy rainfall area is achieved and a realistic surface wind structure, which is a crucial element in the forecast of such heavy rainfall events, is modeled. View Full-Text
Keywords: Mediterranean; extreme rainfall; geosynchronous satellite; InSAR; ZTD; IWV; data assimilation Mediterranean; extreme rainfall; geosynchronous satellite; InSAR; ZTD; IWV; data assimilation
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MDPI and ACS Style

Lagasio, M.; Meroni, A.N.; Boni, G.; Pulvirenti, L.; Monti-Guarnieri, A.; Haagmans, R.; Hobbs, S.; Parodi, A. Meteorological OSSEs for New Zenith Total Delay Observations: Impact Assessment for the Hydroterra Geosynchronous Satellite on the October 2019 Genoa Event. Remote Sens. 2020, 12, 3787. https://doi.org/10.3390/rs12223787

AMA Style

Lagasio M, Meroni AN, Boni G, Pulvirenti L, Monti-Guarnieri A, Haagmans R, Hobbs S, Parodi A. Meteorological OSSEs for New Zenith Total Delay Observations: Impact Assessment for the Hydroterra Geosynchronous Satellite on the October 2019 Genoa Event. Remote Sensing. 2020; 12(22):3787. https://doi.org/10.3390/rs12223787

Chicago/Turabian Style

Lagasio, Martina; Meroni, Agostino N.; Boni, Giorgio; Pulvirenti, Luca; Monti-Guarnieri, Andrea; Haagmans, Roger; Hobbs, Stephen; Parodi, Antonio. 2020. "Meteorological OSSEs for New Zenith Total Delay Observations: Impact Assessment for the Hydroterra Geosynchronous Satellite on the October 2019 Genoa Event" Remote Sens. 12, no. 22: 3787. https://doi.org/10.3390/rs12223787

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