SAPHIR project consists in exploiting the outputs of a high-resolution NWP system and a variety of (real-time or post-processed) data gathered from meteorological safety sensor networks, satellite observations and also from ad hoc local sensor networks through a “Deep Learning” architecture.
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1 to 10 of 12 Results
Apr 14, 2025
Larvor, Gwenaelle; Berthomier, Léa; Le Pape, Brice; Chabot, Vincent; Pradel, Bruno; Perez, Lior, 2025, "Reference copy of meteoNet dataset (original from Météo-France, https://meteonet.umr-cnrm.fr, 2020) for SAPHIR Project ANR-21-CE04-0014", https://doi.org/10.7910/DVN/NCKRZ2, Harvard Dataverse, V1
This dataset is a reference copy of the publicly available MeteoNet dataset, originally provided by Météo-France. It has been declared to Harvard Dataverse to ensure stable citation via DOI within the framework of SAPHIR project (ANR-21-CE04-0014). No modifications have been made to the data which can be downloaded from the official website: https:...
Sep 13, 2024
Silvani, Xavier, 2024, "Replication Data for: Meteo France ground stations in Corsica [1890-2024]", https://doi.org/10.7910/DVN/ZMJE3R, Harvard Dataverse, V2
The surface station data from Météo-France, available on data.gouv.fr, includes various fields that describe atmospheric measurements and station characteristics. 158 Meteo quantities are purposed but they are not all measured by each Met Station. Here are some typical fields found in these datasets: +++Station Identifier: A unique code, often base...
XZ Archive - 2.4 KB - MD5: ec33265e7a7189da645e3986f444c087
This is the .tar.gz form of a backup file for PostGresql DBMS, with a .dump extension. The user can dowload the corresponding fire, untar this one and importe the .dump into a PGsql DB. Using PGAdmin4 is recommended
Sep 4, 2024 - Harvard Dataverse
Silvani, Xavier, 2024, "Replication Data for: Meteo Helix Weather Station (Barani (c))", https://doi.org/10.7910/DVN/T9F04V, Harvard Dataverse, V1
Quantities / Unity / Timestep / Meas. Accuracy Air Temp / °C / 10 mn / Air Humidity / % / 10 mn / Dew point / °C / 10 mn / Wet-bulb / °C / 10 mn / Pressure / hPa / 10 mn / Rain height / mm / 10 mn / Solar radiat. / W/m² / 10 mn / Wind velocity / m/s / 10 mn / Wind direction/ ° / 10 mn / Wind gust / ° / 10 mn /
XZ Archive - 134.3 KB - MD5: c7f769f81f71d5817005eb1cc3c2eea0
A map of IFD devices
TAR Archive - 8.6 MB - MD5: 02c9942ad2447c34870f82dcd3e428b7
The data from Meteo Helix and MeteoWind devices on INSPE's location
TAR Archive - 12.4 MB - MD5: 20c32c400e792b77fe102f9ed1bfa7ab
The data from Meteo Helix and MeteoWind devices on Sanguinaires' location
TAR Archive - 17.0 MB - MD5: b92461be87bdcfc08e4ed079a8e91b53
The data from Meteo Helix and MeteoWind devices on Vignola's location
TAR Archive - 4.6 MB - MD5: 3e66b4ddf13b7a90024b6ceabd84d756
The data from Meteo Helix and MeteoWind devices on Villanova's location
Nov 24, 2022
Pierre, De Guibert, 2022, "L1 SAETTA science data", https://doi.org/10.7910/DVN/DTVHAB, Harvard Dataverse, V1
The Level 1 (L1) SAETTA data consist in time and space locations of VHF sources that are radiated by lightning flashes in the 60-66 MHz VHF band. The L1 SAETTA data are processed from the L0 SAETTA raw data collected by the 12 sensors deployed over Corsica. Each VHF source is described by its time occurrence, its geo-location, its VHF amplitude, an...
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