International Spring School NEROGRAV
”New Refined Observations of Climate Change from Spaceborne Gravity Missions“
March 10-14, 2025 in Neustadt an der Weinstraße, Germany
Call for Applications
Background
Between 2002 and 2017 the Gravity Recovery and Climate Experiment (GRACE) satellite mission provided a unique 15+ years times series of monthly mass changes of large ice sheets and glaciers, near-surface and underground water storage, the amount of water in large lakes and rivers, or changes in sea level and ocean currents. The observation of mass change provides fundamental indicators of the large-scale climate dynamics and state of our planet, and an integrated global view of how Earth’s water cycle and energy balance are evolving. Since 2018 GRACE Follow-on (GRACE-FO) successfully extends this time series and demonstrates the effectiveness of a tech demo Laser Ranging Interferometer for future gravity missions.
The central hypothesis of the Research Unit NEROGRAV (New Refined Observations of Climate Change from Spaceborne Gravity Missions), funded since 2017 by the German Research Foundation (DFG), reads: Only by concurrently improving and better understanding of sensor data, background models, and processing strategies of satellite gravimetry, the resolution, accuracy, and long-term consistency of mass transport series can be significantly increased, the science return in various fields of application improved and the potential of future technological sensor developments fully exploited.
The spring school will educate a group of 31 Ph.D. students and junior scientists in state-of-the-art satellite gravimetry data processing (e.g. spherical harmonic analysis, filtering /de-striping, global / regional analysis of grid data) and applications of mass transport data in Earth system sciences related with the global water cycle, the oceans, or the cryosphere. A look into the future of satellite gravimetry missions completes the program.
Program
Lectures and practicals will be given by members of the Research Group NEROGRAV* and other key experts in the topics discussed:
- Dr. Eva Börgens (GFZ Potsdam)
- Prof. Dr. Annette Eicker (HCU Hamburg)
- Prof. Dr. Frank Flechtner (TU Berlin)
- Dr. Mike Hart-Davis (DGFI-TUM)
- Dr. Volker Klemann (GFZ Potsdam)
- Dr. Bryant Loomis (JPL)
- Christian Mielke (U Bonn)
- Dr. Vitali Müller (AEI)
- Dr. Michael Murböck (TU Berlin)
- Prof. Dr. Roland Pail (TU Munich)
- Dr. Ingo Sasgen (AWI)
- Prof. Dr. Michael Schindelegger (U Bonn)
- Marius Schlaak (TU Munich)
- Dr. Linus Shihora (GFZ Potsdam)
- Dr. Anne Springer (U Bonn)
- Prof. Dr. Matthias Weigelt (DLR)
The planned program is as follows:
The Program of the spring school can also be found in the flyer.
Prerequisites
- Background in gravity field modelling or gravity field applications
- Basic programming skills (practicals are based on Matlab or Python)
- Participants will therefore need to bring their own computer with Matlab or Python software
Application
Your application should include:
- A short Curriculum Vitae
- A one-page letter of motivation for participation
Please send your application (one pdf, less than 1 MB) by 1st December 2024 to spring-school-nerograv-2025(at)gfz-potsdam.de.
Participation Fee and Further Costs
There is no participation fee, but interested participants are expected to clearly explain the importance of this school for their current and future academic career. We are offering:
- accommodation in double rooms
- full board with three meals per day
- lectures and practicals
- visit of the Technik Museum in Speyer, and a wine tasting evening
Further costs such as your travel costs to Neustadt or evening drinks have to be paid by the participants!
Further information on the location or social program is included in the flyer.
Important dates
- December 1st, 2024: Deadline for applications
- December 18th, 2024: Acceptance notifications
- March 10th – 14th, 2025: Spring School
* This Spring School is organized by the NEROGRAV Research Group (Technische Universität Berlin, Freie Universität Berlin, German Research Centre for Geosciences, Helmholtz Centre Potsdam (GFZ), Universität Bonn, Technische Universität München, HafenCity Universität Hamburg) funded by the German Research Foundation DFG under grant FOR 2736.