Science Inventory

Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches

Citation:

Fu, J., G. Carmichael, F. Dentener, W. Aas, C. Andersson, L. Barrie, A. Cole, C. Galy-Lacaux, J. Geddes, S. Itahashi, M. Kanakidou, L. Labrador, F. Paulot, D. Schwede, J. Tan, AND R. Vet. Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, 56(4):2134-2142, (2022). https://doi.org/10.1021/acs.est.1c05929

Impact/Purpose:

This concept paper serves as an announcement of the intent of the World Meteorological Organization workgroup on Measurement-Model Fusion for Global Total Atmospheric Deposition to develop a method for using using multi-model ensemble and measurement-model fusion approaches for mapping atmospheric deposition.  The measurement-model fusion approaches build on the foundational approach used by the EPA in developing the deposition surfaces for the National Atmospheric Deposition Program.

Description:

Earth system and environmental impact studies need high quality and up-to-date estimates of atmospheric deposition. This study demonstrates the methodological benefits of multimodel ensemble and measurement-model fusion mapping approaches for atmospheric deposition focusing on 2010, a year for which several studies were conducted. Global model-only deposition assessment can be further improved by integrating new model-measurement techniques, including expanded capabilities of satellite observations of atmospheric composition. We identify research and implementation priorities for timely estimates of deposition globally as implemented by the World Meteorological Organization.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:02/15/2022
Record Last Revised:03/03/2022
OMB Category:Other
Record ID: 354240