New open CML dataset from Italy: OpenRainER
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
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
Join the conference via Zoom: https://tuwien.zoom.us/j/64842384214. Overview and comparison of three quality control algorithms for rainfall data from personal weather stations 1 Abbas El Hachem, 1
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.
Join the conference via Zoom: https://tuwien.zoom.us/j/64842384214 Open data from microwave links, radar and gauges published to boost rainfall research and applications (OpenMRG) Jafet C. M.
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
The third round of OpenSense Short-Term Scientific Missions (STSMs) has started! STSMs are institutional exchanges allowing researchers and innovators to visit an institution or laboratory
OpenSense short online conferences (max. 1 hour every two months, at 9:00 am CET) should bring the OpenSense community the idea of the newest opportunistic
One of the major benefits of using commercial microwave links (CMLs) for rainfall estimation is the vast abundance of these opportunistic sensors across the globe.
Until now, studies evaluating commercial microwave links (CMLs) reliability have focused on comparisons with traditional observations used for reference, although the path-integrated character of CML
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
© 2024 OpenSense - COST Action CA20136 - Opportunistic precipitation sensing network