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
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
The OpenSense Community recently convened in a hybrid format, combining both face-to-face and online interactions, for their second joint annual meeting in Krakow, Poland, from
During the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023) Opensene members from Tel Aviv University CellenMon Lab, namely Jonathan Ostrometzky
OPENSENSE training school on software and methods for data processing from opportunistic rainfall sensors Applications openApply here Where: The training school will take place at
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
