Topic: Data Assimilation Methodology
Thursday, March 13, 2025 from 07-09h am UTC
Data Assimilation Methodology
Organizers and Conveners: Steve Fletcher (Colorado State University, US), James Taylor (RIKEN, Japan)
Data assimilation encompasses a broad range of methods and techniques to combine observation data with numerical models to provide a best estimate of the state of the system. We invite abstracts focusing on recent advancements in methodologies to address the challenges within the world of data assimilation, including developments in variational and ensemble-based data assimilation schemes, and the establishment of novel approaches to tackle data assimilation problems. Newly established methods to assimilate emerging observation datasets, including radar, satellite and in-situ data are also welcomed.
Program / Abstracts (PDF download)
Invited presentations:
- Are Ensemble-based Data Assimilation Methods Really Necessary for Accurate Filtering?
Marc Bocquet, Alban Farchi, Tobias S. Finn, Charlotte Durand, Sibo Cheng, Yumeng Chen, Ivo Pasmans, Alberto Carrassi - An Integral-Form Ensemble Square-Root Filter with Efficient and Precise Model-Space Localization
Robin Armstrong, Ian Grooms, Chris Snyder - Exploration of Tempering Data Assimilation Methods for using the Local Ensemble Transform Kalman Filter: Simple and Intermediate Experiments
Jorge Gacitua, Juan Ruiz - Flow-Dependent Large-Scale Blending for Limited-Area Ensemble Data Assimilation
Saori Nakashita, Takeshi Enomoto - Quantum Data Assimilation: A New Approach to Solving Data Assimilation on Quantum Annealers [Invitedt talk]
Shunji Kotsuki, Fumitoshi Kawasaki, Masanao Ohashi, Tadashi Tsuyuki
Time Zones:
07 – 09 UTC
Europe: 07 – 09 am GMT (London) | 08 – 10 am CET (Berlin)
Asia/Australia: 03 – 05 pm CST (Shanghai) | 04 – 06 pm JST (Tokyo) | 06 – 08 pm AEDT (Sydney)
Americas: 11pm – 01 am PST (San Fran.) | 00 – 02 am MST (Denver) | 02 – 04 am EST (New York)
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