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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:COLORADO STATE UNIVERSITY
Doing Business As Name:Colorado State University
PD/PI:
  • Steven J Fletcher
  • (970) 491-8376
  • fletcher@cira.colostate.edu
Award Date:12/12/2019
Estimated Total Award Amount: $ 15,581
Funds Obligated to Date: $ 15,581
  • FY 2020=$15,581
Start Date:04/01/2020
End Date:03/31/2021
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.050
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:The Eighth International Symposium on Data Assimilation (ISDA); Fort Collins, Colorado; June 8-12, 2020
Federal Award ID Number:2011670
DUNS ID:785979618
Parent DUNS ID:948905492
Program:Physical & Dynamic Meteorology
Program Officer:
  • Nicholas Anderson
  • (703) 292-4715
  • nanderso@nsf.gov

Awardee Location

Street:601 S Howes St
City:Fort Collins
State:CO
ZIP:80523-2002
County:Fort Collins
Country:US
Awardee Cong. District:02

Primary Place of Performance

Organization Name:Colorado State University
Street:1375 Campus Delivery
City:Fort Collins
State:CO
ZIP:80523-1375
County:Fort Collins
Country:US
Cong. District:02

Abstract at Time of Award

The 8th International Symposium on Data Assimilation will take place during the week of June 8th, 2020 in Ft. Collins, CO on the campus of Colorado State University. An international group of scientists and students will come together to discuss ideas that are at the forefront of data assimilation research. This award provides travel support for up to 7 students to attend the Symposium, present their research, and interact with researchers from various domestic and foreign institutions. The main topics that will be discussed at the Symposium include: 1) Method Development and Mathematics of Data Assimilation, 2) Satellite Data Assimilation, 3) Error Covariance Estimation in Observations, State and Model, 4) Coupled Data Assimilation Developments, 5) Convective Scale Data Assimilation, 6) Atmospheric Chemistry and Aerosol Data Assimilation, 7) Emerging Applications of Data Assimilation, and 8) Machine Learning for Data Assimilation. The presentations and posters will be hosted publicly, with permission, and there will be a summary article submitted to the Bulletin of the American Meteorological Society. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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