************************************************************************ IERS Message No. 415 December 14, 2020 ************************************************************************ Session on Weather Prediction Data for Space Geodesy at EGU 2021 Dear colleagues, Do you work with numerical weather prediction to model observations of geodetic interest? Do you study weather-driven variations in crustal deformation, the gravity field, atmospheric delays, or Earth's rotation? If yes, we would like to invite you to join us in sharing relevant research during the next EGU General Assembly (online, April 19-30, 2021). Our session "Numerical Weather Prediction Data for Space Geodesy" falls under the "Geodesy" block and is co-organized by "Atmospheric Sciences" and "Hydrological Sciences". For the session description, please visit https://meetingorganizer.copernicus.org/EGU21/session/39901 or read below, and to contribute, please turn in your abstract by January 13, 2021, 13:00 CET. Should you have any questions, please do not hesitate to contact us. We look forward to having your research feature in our session! Best regards, Kyriakos Balidakis, Jean-Paul Boy, Henryk Dobslaw, and Richard Gross ------------------------------------------------------------------------ Session description G3.2: Numerical Weather Prediction Data for Space Geodesy Weather largely drives space geodetic sensor data, that is, signal delay due to atmospheric refraction, as well as site displacements, Earth rotation fluctuations and gravity field variations due to mass redistribution within Earth's fluid envelope (atmosphere, oceans, and continental hydrology). State-of-the-art numerical weather prediction provides the resources to approximate these geodetic estimates either for re-analysis or forecasting purposes, thus enhancing the related geodetic analysis. The growing number and accuracy of meteorological observations, the deeper understanding of the underlying dynamics, and the allocation of high-performance computing facilities have rendered modern numerical weather models capable of representing and predicting the atmospheric state with unprecedented accuracy. While the fact that more accurately represented driving agents (pressure, temperature, humidity, and wind are but a few) result in more reliable geophysical modeling holds true to a certain extend, it is critically important that the derived geodetic models are utilized properly. Therefore, the fusion approach is of particular interest. Sought are contributions from geodesists, astronomers, meteorologists, and Earth system scientists working on the exploitation of weather models to improve geodesy. We welcome - but not limit ourselves to - contributions discussing the efficient handling of the ever-growing hydrometeorological data volume stemming from increased spatio-temporal resolutions, and studies utilizing meso-beta (e.g., ERA5), meso-gamma scale (e.g., COSMO-DE) weather models or other means to approximate parameters such as atmospheric delays, non-tidal geophysical loading displacements, and length-of-day fluctuations, and fuse them with geodetic observations from e.g., GNSS, very long baseline interferometry, satellite laser ranging, and InSAR. ************************************************************************ IERS Messages are edited and distributed by the IERS Central Bureau. If not stated otherwise, the IERS is only the distributor of the message and is not responsible for its content. To submit texts for distribution, please write to . To subscribe or unsubscribe, please create an IERS account or modify it: https://www.iers.org/Login/Login/EN/login_node.html or write to . Archives: http://www.iers.org/Messages ************************************************************************