NSF ITR/AP&IM 0205198
Development of a General Computational Framework
for the Optimal Integration
of Atmospheric Chemical Transport Models
and Measurements Using Adjoints
A collaboration between
The University of Iowa,
Virginia Polytechnic Institute and State University,
California Institute of Technology,
University of Washington,
University of Minnesota,
& National Center for Atmospheric Research
The overall goal of the proposed project is to develop general computational tools, and associated software,
for assimilation of atmospheric chemical and optical measurements into chemical transport models (CTMs). These
tools are to be developed so that users need not be experts in adjoint modeling and optimization theory .
Our research approach is to:
- Develop novel and efficient algorithms for 4D-Var data assimilation in CTMs;
- Develop general software support tools to facilitate the construction of discrete adjoints to be used in any CTM;
- Apply these techniques to important applications including:
(a) analysis of emission control strategies for Los Angeles;
(b) the integration of measurements and models to produce a consistent/optimal analysis data
set for the AceAsia intensive field experiment;
(c) the inverse analysis to produce a better estimate of emissions;
and (d) the design of observation strategies to improve chemical forecasting capabilities.
Solid lines represent current capabilities. Dotted lines represent new analysis
capabilities that arise through the assimilation of chemical data.
Revised: 2/23/05 by Tianfeng Chai