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 Assimilation Working Group

Workshop Overview

The 4th annual Land Data Assimilation (DA) Community Virtual Workshop on “Developments in Land Data Assimilation” will take place on Monday, June 24th – Tuesday, June 25th. 

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 professional meetings and conferences. To strengthen communication between modeling groups, this workshop will 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. We welcome participation from a broad range of research interests including land surface states and fluxes (carbon, energy, and water cycles to crop, fire, and land management), timescales (daily, seasonal to subseasonal, centennial/millennial), and scientific and practical applications (improving understanding of carbon-climate feedbacks, weather prediction, agricultural forecasting, and climate change impacts). The outcome of this workshop is to increase collaboration and coordination within the land DA community to tackle technical challenges and promote the routine use of DA tools in the wider modeling community. We seek to strengthen connections between land DA communities, increase knowledge exchange to tackle land DA challenges, and build a collaborative land DA community inclusive of all backgrounds and career stages. To learn more about the outcomes of previous workshops, please check out the following:


Call for Abstracts

We seek talks that place greater weight on addressing the technical challenges associated with developing land DA systems than answering the scientific questions that lie behind those technical developments, which is typically the focus of other professional meetings and conferences. The following themes are currently explored in this abstract call:
    • Land data assimilation in CMIP 7
    • Machine learning in land DA research and applications
    • Including novel observations and processes in land DA systems
    • Bridging the gap between methodological development and applications of DA in NWP and ESMs
    • Community updates
    • Other (we welcome your contributions beyond the above categories)
This meeting will take place virtually. Further, we are working on a plan to facilitate asynchronous participation. In the form below, please indicate your preferred time zone.

[EXTENDED] Friday, May 24th is the abstract submission deadline. If you have any issues using the above Google Form, please email your abstract to aimes (at) using this abstract template.

Important Dates

April 26: Open call for abstracts

[EXTENDED] May 24: Abstract submission deadline

June 1: Abstract acceptance notification

June 3: Registration (free) opens and release of preliminary program

June 24–25: Workshop dates