| | 1 | = PDAF at the EGU General Assembly 2019 = |
| | 2 | |
| | 3 | The research group developing PDAF will be present at the EGU General Assembly from April 8 to 12, 2019 in Vienna, Austria. |
| | 4 | |
| | 5 | Members of the group give following presentations: |
| | 6 | |
| | 7 | == Short Course == |
| | 8 | |
| | 9 | **Getting Started with Data Assimilation: Theory and Application**[[BR]] |
| | 10 | Co-organized by AS6/CR8/ESSI6[[BR]] |
| | 11 | Convener: Qi Tang | Co-conveners: Lars Nerger, Armin Corbin, Nabir Mamnun, Yumeng Chen[[BR]] |
| | 12 | Fri, 19 Apr, 08:30–10:15 (CEST)[[BR]] |
| | 13 | Room -2.85/86 |
| | 14 | |
| | 15 | Data assimilation (DA) is widely used in the study of the atmosphere, the ocean, the land surface, hydrological processes, etc. The powerful technique combines prior information from numerical model simulations with observations to provide a better estimate of the state of the system than either the data or the model alone. This short course will introduce participants to the basics of data assimilation, including the theory and its applications to various disciplines of geoscience. An interactive hands-on example of building a data assimilation system based on a simple numerical model will be given. This will prepare participants to build a data assimilation system for their own numerical models at a later stage after the course. |
| | 16 | |
| | 17 | This Short Course introduces the following topics: |
| | 18 | |
| | 19 | 1. DA theory, including basic concepts and selected methodologies. |
| | 20 | 1. Examples of DA applications in various geoscience fields. |
| | 21 | 1. Hands-on exercise in applying data assimilation to an example numerical model using open-source software. |
| | 22 | |
| | 23 | This short course is aimed at people who are interested in data assimilation but do not necessarily have experience in data assimilation, in particular early career scientists (BSc, MSc, PhD students and postdocs) and people who are new to data assimilation. |
| | 24 | |
| | 25 | |
| | 26 | |
| | 27 | |
| | 28 | == Presentations by PDAF Users == |
| | 29 | |
| | 30 | There will presentations by different users of PDAF, for example |
| | 31 | |
| | 32 | **Augmenting WRF with PDAF for an Online Localized Ensemble Data Assimilation**[[BR]] |
| | 33 | Changliang Shao[[BR]] |
| | 34 | Mon, 15 Apr, 16:15–18:00 (CEST) Hall X5 | X5.20 |
| | 35 | |
| | 36 | **Improving daily-to-seasonal sea ice forecasts of the AWI coupled prediction system with sea-ice and ocean data assimilation and atmospheric large-scale wind nudging**[[BR]] |
| | 37 | Svetlana Loza, Marylou Athanase, Longjiang Mu, Jan Streffing, Antonio Sánchez-Benítez, Miguel Andrés-Martínez, Lars Nerger, Tido Semmler, Dmitry Sidorenko, and Helge Goessling[[BR]] |
| | 38 | Tue, 16 Apr, 16:15–18:00 (CEST) Hall X5 | X5.28 |
| | 39 | |
| | 40 | **Leveraging High-Performance Computing for Enhanced Lava Flow Forecasting Workflow**[[BR]] |
| | 41 | Antonio Costa, Louise Cordrie, Giovanni Macedonio, Gaetana Ganci, Annalisa Cappello, and Francesco Zuccarello[[BR]] |
| | 42 | Wed, 17 Apr, 16:15–18:00 (CEST) Hall X4 | X4.158 |
| | 43 | |
| | 44 | **Strategies for assimilating GRACE/-FO terrestrial water storage anomalies into hydrological models**[[BR]] |
| | 45 | Anne Springer, Yorck Ewerdwalbesloh, Helena Gerdener, Kerstin Schulze, and Jürgen Kusche[[BR]] |
| | 46 | Wed, 17 Apr, 16:15–16:25 (CEST) Room D1 |
| | 47 | |
| | 48 | **The Impact of GRACE Data Assimilation on Water Storage Dynamics in CLM3.5 and CLM5**[[BR]] |
| | 49 | Yorck Ewerdwalbesloh, Anne Springer, and Jürgen Kusche[[BR]] |
| | 50 | Thu, 18 Apr, 17:25–17:35 (CEST) Room 2.44 |
| | 51 | |
| | 52 | |
