SOC #5 30th of July 2024, 9:00 am CET
Microwave link data for urban water management 1 Martin Fencl, 1 Vojtěch Bareš 1 Department of Hydraulics and Hydrology, Faculty of Civil Engineering, Czech Technical University in Prague, Czechia
Microwave link data for urban water management 1 Martin Fencl, 1 Vojtěch Bareš 1 Department of Hydraulics and Hydrology, Faculty of Civil Engineering, Czech Technical University in Prague, Czechia
Quantitative precipitation estimation from weather radars, personal weather stations and commercial microwave links A chapter from the book “Advances in Weather Radar,” authored by OpenSense
Satellite microwave links revealed! 1 Filippo Giannetti 1 Department of Information Engineering, University of Pisa, Italy Opportunistic rain rate estimation based on satellite microwave links
EGU24-10338 | ECS | Posters on site | AS1.10 Using commercial microwave links and SEVIRI observations for rainfall estimation in Zambia Nico Blettner, Rebecca Wiegels, Harald Kunstmann, and
June 25th – 27th, 2024Milan, Italy Local Organizer:Politecnico di Milan, Italy
OpenRainER is a newly released open dataset with two years (2021 and 2022) of precipitation-related data from the Emilia-Romagna region in Italy. The dataset contains
Last week (19-22 March 2024), members of OpenSense Action gathered for a working meeting at the Czech Technical University in Prague, where they focused on
Based on an OpenSense STSM, Aalborg University (AAU) and the Swedish Meteorological and Hydrological Institute (SMHI) have published a scientific paper in January 2024 on
Overview and comparison of three quality control algorithms for rainfall data from personal weather stations 1 Abbas El Hachem, 1 Jochen Seidel, 3 Tess O’Hara, 4
OpenSense partners, the department R&D Observations and Data technology from the Royal Netherlands Meteorological Institute, have published a paper on 14 February 2024 in the Hydrology and Earth System Sciences journal. This paper is available in open access.
Open data from microwave links, radar and gauges published to boost rainfall research and applications (OpenMRG) Jafet C. M. Andersson1, Jonas Olsson1, Remco (C. Z.)
CML data assimilation for precipitation forecasts over Austria Alexander Kann1, Christoph Wittmann1, Phillip Scheffknecht1, Benedikt Bica1, Oliver Eigner2, Fabian Kovac2 1 GeoSphere, Austria, 2 St.
COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.
OPENSENSE aims to improve access to continental OS observations, establish OS as a widely acknowledged method capable of providing reliable operational precipitation observations, and facilitate their use in precipitation nowcasting and operational hydrological forecasts.
MoU – 076/21
CSO Approval date – 25/05/2021
Start date – 13/10/2021
End date – 12/10/2025
© 2025 OpenSense - COST Action CA20136 - Opportunistic precipitation sensing network