session 1

Title: Understanding and Predicting the Climate Change for our Planet
Description: Understanding and Predicting the Climate Change for our Planet - It addresses the state of understanding of climate change, and the role of space-based observations and research in how we know what we know, how good is our current understanding, what does the future portend? This includes modeling and its predictions.
Date: 2023-05-25
Time: 11:00
Room: Oslo

IPC members

Co-Chair: Prof. Bernard Foing, ILEWG "EuroMoonMars", The Netherlands;
Co-Chair: Dr. Oana van der Togt, Antwerp Space, The Netherlands;
Coordinator: Mr. Gunter Schreier, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Germany;

papers
Order	Time	Paper title	Mode	Presentation status	Speaker	Affiliation	Country
1	11:00	What the 30 Year Satellite Altimetry Record of Sea Level Change is Telling Us About the Future	15	confirmed	Prof. R. Steven Nerem	Colorado Center for Astrodynamics Research, University of Colorado	United States
2	11:15	Crowning The King In The North: The Northward Greenbelt Migration And The Quest For The Most Resilient Plant	15	confirmed	Mr. Sathesh Raj V Periasamey		Malaysia
3	11:30	Satellite observations provide a global picture of global changes in 24-hr rainfall	15	confirmed	Dr. Andreas Dobler	Norwegian Meteorological Institute	Norway
4	11:45	ESA’s Climate Change Initiative: how space data support our understanding of climate change and support policy action	15	confirmed	Dr. Susanne Mecklenburg	European Space Agency (ESA)	United Kingdom
5	12:00	Space and the understanding of the Suns influence on Climate Change	15	confirmed	Dr. Bo Andersen	University of Oslo	Norway
6	12:15	Deep learning-based supraglacial lake depth detection on the Greenland Ice Sheet by combining ICESat-2 and Sentinel-2 data	15	confirmed	Ms. Abigail Robinson	Science & Technology	Sweden
7	12:30	Monitoring of Sea Ice Concentration, Area, and Extent in the polar regions : 40+ years of data from EUMETSAT OSI SAF and ESA CCI	15	confirmed	Mr. Thomas Lavergne	Norwegian Meteorological Institute	Norway
*		Development of a machine learning-based ice shelf coastline (ISCL) delineation in Antarctica by combining Sentinel-1 and CryoSat-2 data		withdrawn	Ms. Abigail Robinson	Science & Technology	Sweden

session 1

Order

Time

Paper title

Mode

Presentation status

Speaker

Affiliation

Country