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

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.

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