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!
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News and Events
New Publication: Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions
New Publication: Building a Land Data Assimilation Community to Tackle Technical Challenges in Quantifying and Reducing Uncertainty in Land Model Predictions The American Meteorological Society has published the meeting report from the AIMES Land Data Assimilation...
2022 ‘New Directions in Land Data Assimilation’ – Workshop Registration
13-15 June 2022 | 10:00-13:00 EDT // 16:00-19:00 CEST Organizers†: Natasha MacBean (1), Jana Kolassa (2), Andy Fox (3), Tristan Quaife (4), Hannah Liddy (5)(1) Indiana University, (2) NASA GMAO, (3) Joint Center for Satellite Data Assimilation, (4) University of...
Call for Abstracts: New Directions in Land Data Assimilation Virtual Workshop
Submit Abstracts for: New Directions in Land Data Assimilation 2nd Annual Land Data Assimilation Community Virtual Workshop 13-15 June 2022 | 10:00-13:00 EDT // 16:00-19:00 CEST The AIMES Land Data Assimilation Working Group will hold its 2nd annual workshop 'New...
Land Modeling and Data Assimilation System Specialist with SSAI at NASA Goddard Space Flight Center in Greenbelt, MD
Land Modeling and Data Assimilation System Specialist with SSAI at NASA Goddard Space Flight Center in Greenbelt, MD Science Systems and Applications, Inc. is seeking a GEOS Land Modeling and Data Assimilation System specialist to support the Global Modeling and...
Tackling Technical Challenges in Land Data Assimilation – Workshop Presentations
The AIMES Land Data Assimilation Working Group organized a virtual kickoff workshop on June 14-16, 2021. Click here to view the workshop presentations!
Register for the Tackling Technical Challenges in Land Data Assimilation Workshop
The AIMES Land Data Assimilation Working Group is organizing a virtual kickoff workshop to bring together land DA scientists to highlight a range of DA methods used within the community, discuss challenges facing different modeling communities, and identify strategies for addressing those challenges. The workshop will be held June 14-16, 2021. Learn more and register here.





