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<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:12.0pt"><span lang="EN-US" style="font-size:10.0pt;font-family:"Verdana",sans-serif">** We apologize for multiple posting **<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:12.0pt"><span lang="EN-US">Dear Colleagues,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The EGU General Assembly 202<span style="color:#1F497D">4</span> will take place from
<b>14–19 April in Vienna and online</b><span style="color:#1F497D"> </span>and we would like to draw your attention to session
<span style="color:#1F497D"><o:p></o:p></span></span></p>
<p class="MsoNormal"><b><span lang="EN-US" style="color:black">G5.1/AS5 – Atmospheric and Environmental Monitoring with Space-Geodetic Techniques and Contributions to Extreme Weather Studies</span></b><span lang="EN-US" style="color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The description of the session is given below and it can also be found at:<span class="MsoHyperlink"><span style="color:#1F497D;text-decoration:none"><o:p></o:p></span></span></span></p>
<p class="MsoPlainText"><span lang="EN-US" style="color:#1F497D"><a href="https://meetingorganizer.copernicus.org/EGU24/session/49235">https://meetingorganizer.copernicus.org/EGU24/session/49235</a><o:p></o:p></span></p>
<p class="MsoPlainText"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoPlainText"><span lang="EN-US" style="mso-fareast-language:IT">We encourage you to participate in it by submitting abstracts<span style="color:#1F497D">,</span></span><span lang="EN-US" style="font-size:9.0pt;font-family:"Verdana",sans-serif;color:#1F497D;mso-fareast-language:IT">
<a href="https://egu24.eu/programme/how_to_submit.html">https://egu24.eu/programme/how_to_submit.html</a></span><span lang="EN-US" style="font-size:9.0pt;font-family:"Verdana",sans-serif;mso-fareast-language:IT"> <o:p></o:p></span></p>
<p class="xmsoplaintext"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="xmsoplaintext"><span lang="EN-US">Notice that the <b>DEADLINE FOR ABSTRACT SUBMISSION IS</b>
<b><span style="color:black">10 JANUARY 2024</span>, 13:00 CET<o:p></o:p></b></span></p>
<p class="xmsoplaintext"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="xmsoplaintext"><span lang="EN-US"> We are looking forward to welcoming you in Vienna at EGU202<span style="color:#1F497D">4</span>!<span style="color:#1F497D"><o:p></o:p></span></span></p>
<p class="xmsoplaintext"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoPlainText"><span lang="EN-US" style="mso-fareast-language:IT">The session conveners: Rosa Pacione, Maximilian Semmling, Kyriakos Balidakis, Henrik Vedel<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify;text-autospace:ideograph-numeric">
<span lang="EN-US" style="color:#1F497D">------------------------------------------------------------</span><span lang="EN-US"><o:p></o:p></span></p>
<p class="xmsoplaintext"><span lang="EN-US">Geodesy contributes to atmospheric science by providing some of the essential climate variables of the Global Climate Observing System. Water Vapor (WV) is currently under-sampled in meteorological and climate observing
systems. Obtaining more high-quality humidity observations is essential to weather forecasting and climate monitoring. The production, exploitation and evaluation of operational GNSS-Met for weather forecasting is well established in Europe due to 20+ years
of cooperation between the geodetic community and the national meteorological services. Improving the skill of numerical weather prediction (NWP) models to forecast extreme precipitation requires GNSS products with a higher spatio-temporal resolution and shorter
turnaround. Homogeneously reprocessed GNSS data (e.g., IGS repro3) have high potential for monitoring water vapor climatic trends and variability. With shortening orbit repeat periods, SAR measurements are a new source of information to improve NWP models.
Using NWP data within real-time (RT) GNSS data analysis can initialize PPP algorithms, thus shortening convergence times and improving positioning. GNSS signals can be used for L-band remote sensing when Earth-surface reflected signals are considered. GNSS-R
contributes to environmental monitoring with estimates of soil moisture, snow depth, ocean wind speed, sea ice concentration and has the potential to be used to retrieve near-surface WV.<br>
We welcome, but not limit, contributions on:<br>
•Estimates of the neutral atmosphere using ground- and space-based geodetic data and the use thereof in weather forecasting and climate monitoring<br>
•Retrieval and comparison of tropospheric parameters from multi-GNSS, VLBI, DORIS and multi-sensor observations<br>
•Now-casting, forecasting, and climate research using RT and reprocessed tropospheric products, employing numerical weather prediction and machine learning<br>
•Assimilation of GNSS tropospheric products in NWP and in climate reanalysis<br>
•Production of SAR tropospheric parameters and assimilation thereof in NWP<br>
•Homogenization of long-term GNSS and VLBI tropospheric products<br>
•Delay properties of GNSS signals for propagation experiments<br>
•Exploitation of NWP data in GNSS data processing<br>
•Techniques for soil moisture retrieval from GNSS data and for ground-atmosphere boundary interactions<br>
•Detection and characterization of sea level, snow depth and sea ice changes, using GNSS-R<br>
•Studying the atmospheric water cycle employing satellite gravimetry.<o:p></o:p></span></p>
<p class="xmsoplaintext"><span lang="EN-US">•Techniques for soil moisture retrieval from GNSS data and for ground-atmosphere boundary interactions<br>
•Detection and characterization of sea level, snow depth and sea ice changes, using GNSS-R<br>
•Studying the atmospheric water cycle employing satellite gravimetry.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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<br>
<font face="Arial" color="#3A4E58" size="2"><b>Rosa Pacione</b></font><br>
<font face="Arial" color="#3A4E58" size="1">Matera Space Center<br>
Data Analysis Services<br>
<br>
Contrada Terlecchie, - 75100 Matera - Italy<br>
Ph: +39 0835 377 556 | Fax: +39 06 4099-9973 <br>
rosa.pacione@e-geos.it<br>
<a href="http://www.e-geos.it/">e-GEOS.it</a></font> <br>
<br>
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