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, Online session
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, 9:23-9:25 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, 11:12-11:14 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
Coupling the Community Land Model 5.0 with the Parallel Data Assimilation Framework
Lukas Strebel, Heye Bogena, Harry Vereecken, and Harrie-Jan Hendricks Franssen
vPICO, HS1.2.6, Friday, 30 April, 15:40-15:44
Building a coupled data assimilation system for the atmosphere, land-surface and subsurface on the catchment scale
Bernd Schalge, Barbara Haese, Bastian Waldowski, Natascha Brandhorst, Emilio Sanchez, Ching Pui Hung, Shaoning Lv, Lennart Schüler, Harald Kunstmann, Olaf Cirpka, Sabine Attinger, Stefan Kollet, Insa Neuweiler, Harrie-Jan Hendricks Franssen, and Clemens Simmer
vPICO, HS1.2.6, Friday, 30 April, 15:42-15:46
Estimation of water table, soil states and parameters of integrated subsurface-land surface models by data assimilation
Ching Pui Hung, Bernd Schalge, Gabriele Baroni, Emilio Sanchez, Olaf Cirpka, Stefan Kollet, Insa Neuweiler, Clemens Simmer, and Harrie-Jan Hendricks Franssen
vPICO, HS1.2.6, Friday, 30 April, 15:46-15:48
Updating the soil hydraulic parameters in a 3D subsurface model
Natascha Brandhorst and Insa Neuweiler
vPICO, HS1.2.6, Friday, 30 April, 15:48-15:50
