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.
📢 We are thrilled to announce the opening of the new call for Inclusiveness Target Countries (ITCs) Conference Grants, spanning from November 2023 to October
