PDAF at the EGU General Assembly 2021

The research group developing PDAF will be present at the EGU General Assembly from April 19 to 30, 2021 online.

Short Course

SC5.14: Practical data assimilation with the Parallel Data Assimilation Framework
Convener: Lars Nerger | Co-conveners: Wolfgang Kurtz, Nabir Mamnun, Qi Tang, Gernot Geppert Friday, 30 April, 10:00 - 11:00, <a target="_blank" href="​https://meetingorganizer.copernicus.org/EGU21/session/38988">Online</a>

In this Short Course we provide an overview of ensemble data assimilation and how to apply it using PDAF.

For the hands-on example we will provide a tutorial version of PDAF that will be downloadable without registration. The download link will be announced during the short course.

Tutorial code: ​Tutorial code package
Slides: ​Full set of Slides

Session on Data Assimilation

NP5.1 - Inverse problems, Predictability, and Uncertainty Quantification in Geosciences using data assimilation and its combination with machine learning
Convener: Javier Amezcua | Co-conveners: Alberto Carrassi, Sergey Frolov, Tijana Janjic, Lars Nerger, Olivier Talagrand
Tuesday, 27 April, 09:00–12:30 CEST

Presentations by PDAF developers

Ensemble data assimilation for systems with different degrees of nonlinearity with a hybrid nonlinear-Kalman ensemble transform filter
Lars Nerger
vPICO, NP5.1, Tuesday, 27 April, 9:00-12:30 CEST

Strongly coupled data assimilation with the coupled ocean-atmosphere model AWI-CM: comparison with the weakly coupled data assimilation
Qi Tang, Longjiang Mu, Helge Goessling, Tido Semmler, and Lars Nerger
vPICO, NP5.1, Tuesday, 27 April, 9:00-12:30 CEST

Presentations by PDAF Users

There will also be presentations by different users of PDAF, for example

A large ensemble decadal prediction system with MPI-ESM
Sebastian Brune, Vimal Koul, David Marcolino Nielsen, Laura Hövel, Holger Pohlmann, André Düsterhus, and Johanna Baehr
vPICO, CL2.5/AS4.18/HS13.33/NH1.29/NP5.10, Monday, 26 April, 09:12–09:14

Nemo-Nordic 2.0: Updated Baltic Sea model based on NEMO 4.0
Tuomas Kärnä, Ida Ringgaard, Vasily Korabel, Adam Nord, Patrik Ljungemyr, Saeed Falahat, Lars Axell, Anja Lindenthal, Simon Jandt-Scheelke, Ilja Maljutenko, and Svetlana Verjovkina
vPICO, OS4.4, Monday, 26 April, 15:36-15:38

Ensemble-based data assimilation of volcanic aerosols using FALL3D+PDAF
Leonardo Mingari, Andrew Prata, and Federica Pardini
vPICO, NH6.9/EMRP2.3/ESSI2.4/GD8.4/GMPV1.6/SM8.3, Thursday, 29 April, 11:00–11:02

Inferring mantle viscosity through data assimilation of relative sea level observations in a glacial isostatic adjustment model
Reyko Schachtschneider, Jan Saynisch-Wagner, Volker Klemann, Meike Bagge, and Maik Thomas
vPICO, CR3.9/CL4.4/G3.7/GD8.11/GM7.2, Thursday, 29 April, 15:51–15:53

Analyzing the propagation of drought through water storages using global scale GRACE-based data assimilation
Helena Gerdener, Kerstin Schulze, Olga Engels, Jürgen Kusche, Hannes Müller Schmied, Christoph Niemann, Sebastian Ackermann, and Petra Döll
vPICO, HS4.2, Friday, 30 April, 15:46–15:48