Land Data Assimilation Working Group

Overview

There is a growing consensus that land models need to be confronted with a wide range of data to constrain uncertainty in parameters, initialize surface states, and address model structural uncertainty. To this end, different land modeling teams are implementing a range of data assimilation techniques. However, these teams are facing a number of technical challenges and issues implementing data assimilation methods with land models. Their efforts are further frustrated by the fact that there are limited opportunities to discuss these challenges at regular scientific meetings. To address this issue, the AIMES Land Data Assimilation Working Group is in the process of building a land data assimilation community within which we can share knowledge and collaborate on synergistic activities to overcome land data assimilation related challenges.

Objectives and Goals

This working group seeks to bring together a community of data assimilation scientists working with land surface models to share the latest tools and techniques to better quantify and constrain uncertainty in carbon-climate and land-atmosphere feedbacks and promote the use of these methods to the wider modeling community.

Working Group Steering Committee

Andy Fox

Senior Research Scientist at Morgan State University in Goddard Earth Sciences Technology and Research II (GESTAR-II); Global Modeling and Assimilation Office (GMAO) of NASA Goddard Space Flight Center

Daniel Hagan

Postdoctoral scientist at the Hydro-Climate Extremes Lab (H-CEL), Ghent University

Jana Kolassa

Researcher in the Coupled Data Assimilation team at the European Centre for Medium-Range Weather Forecasts (ECMWF)

Natasha MacBean

Associate Profossor in the Department of Geography and Environment and the Department of Biology at Western University, Canada

Tristan Quaife

Associate Professor of Carbon Cycle Science and the University of Reading, UK, and an investigator in the UK’s National Centre for Earth Observation

Feng Tao

Assistant Professor at the Asian School of the Environment, Nanyang Technological University, Singapore

Join the Land DA Community!

To share information and opportunities relevant to the land DA community (e.g. papers, workshops, conferences, job advertisements, funding opportunities, ideas for discussion/collaboration, code, GitHub repos, best practices/pitfalls/methods advice etc), please subscribe to the Land DA Community listserv!

 

News and Events

6th Annual Land Data Assimilation Community Workshop 

« All Events6th Annual Land Data Assimilation Community Virtual Workshop27 - 28 October, 2026 Online Technical challenges are the focus of this annual meeting as the scientific questions that lie behind those technical developments are typically the focus of other...

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Terrestrial Carbon Community Assimilation System User Training

This hybrid training, hosted by ESA’s Carbon Science Cluster, AIMES, and the TCCAS project team, is designed for participants at all levels—from students to senior researchers. The training will take place October 7 and 8, 2024 in Frascati, Italy and will include lectures and hands-on training focused on the terrestrial carbon cycle, the D&B terrestrial biosphere model, observation operators, and the TCCAS system. Sessions will involve both instruction and practical exercises on a shared computing platform.

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Developments in Land Data Assimilation

Organizers†: Natasha MacBean (1), Jana Kolassa (2), Andy Fox (2), Tristan Quaife (3), Hannah Liddy (4)(1) Western University, Canada, (2) NASA GSFC, USA, (3) University of Reading, UK, (4) Columbia University/NASA GISS, USA† Organized by the AIMES Land Data...

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Town Hall on Ensemble Methods for Land Data Assimilation

Town Hall on Ensemble Methods for Land Data Assimilation Tuesday, February 28th at 9:00 - 10:30 (UTC +0)Tuesday, February 28th at 23:00 - 0:30 (UTC +0)Wednesday, March 1st at 4:00 - 5:30 (UTC +0)Registration: Closed Organizers†: Prashant Kumar (1), Shunji Kotsuki (2),...

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