[IGSMAIL-8001] vEGU2021: Numerical Weather Prediction Data for Space Geodesy
Kyriakos Balidakis
kyriakos.balidakis at gfz-potsdam.de
Mon Dec 14 10:22:59 UTC 2020
Author: Kyriakos Balidakis
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.
--
Dr.-Ing. Kyriakos Balidakis
Section 1.1, Space Geodetic Techniques
Phone: +49 (0)331 288 1183
Fax: +49 (0)331 288 1111
Email: kyriakos.balidakis at gfz-potsdam.de
___________________________________
Helmholtz Centre Potsdam
GFZ German Research Centre for Geosciences
Foundation under public law of the federal state
of Brandenburg
Telegrafenberg A17, D-14473 Potsdam
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