Error Covariance Sensitivity and Impact Estimation with Adjoint 4D-VAR
D.N. Daescu
SIAM Conference on Uncertainty Quantification
Raleigh, NC, April 2-5, 2012
The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Observation Error Covariance Parameters
D.N. Daescu and R.H. Langland
8th Annual Meeting Asia Oceania Geosciences Society
Taipei, Taiwan, August 8-12, 2011
Optimization of the Information Error Statistics in Multi-Sensor Atmospheric Data Assimilation
D.N. Daescu
7th International Congress on Industrial and Applied Mathematics - ICIAM 2011
Vancouver, BC, Canada, July 18-22, 2011
Data Assimilation System Diagnosis and Tuning of Error Covariance Parameters
D.N. Daescu
SIAM Conference on Mathematical and Computational Issues in the Geosciences
Long Beach, CA, March 21-24, 2011.
Forecast Sensitivity to Data Assimilation System Observation and Background Error Covariance Parameters
D.N. Daescu, R. H. Langland and R. Todling
15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface (IOAS-AOLS).
91st American Meteorological Society Annual Meeting
Seattle, WA, January 23-27, 2011
Forecast sensitivity to the observation error covariance in variational data assimilation
D.N. Daescu
2010 International Conference on Computational Science
Amsterdam, The Netherlands, May 31 - June 2, 2010
Sensitivity Analysis in Variational Data Assimilation and Applications
D.N. Daescu
ECMWF Workshop on Diagnostics of data assimilation system performance
European Centre for Medium-Range Weather Forecasts, Reading, U.K.,
June 15-17, 2009.
A Second Order Adjoint Method to Targeted Observations
H. Godinez and D.N. Daescu
The 9th International Conference on Computational Science 2009 (ICCS 2009), Baton Rouge, Louisiana, May 25-27, 2009.
Adjoint Estimation to Observing System Experiments Outcomes
D.N. Daescu
8th Workshop on Adjoint Model Applications in Dynamic Meteorology,
Tannersville, PA, May 18-22, 2009.
A Continuation Approach to Adjoint-based Observation Impact Estimation
D.N. Daescu
2009 SIAM Conference on Computational Science and Engineering,
Miami, FL, March 2-6, 2009.
Sensitivity to Observations in Model-Constrained Optimization
D.N. Daescu
2008 SIAM Conference on Optimization, Boston, MA, May 10-13, 2008.
Reduced-Order Observation Sensitivity in 4D-Var Data Assimilation
D.N. Daescu and I.M. Navon
The 12th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface (IOAS-AOLS).
88th American Meteorological Society Annual Meeting, New Orleans LA, January 20-24, 2008
Toward an Optimal Reduced Order Control Strategy in 4D-Var Data Assimilation
D.N. Daescu and I.M. Navon
2007 SIAM Conference on Mathematical and Computational Issues in the Geosciences
Santa Fe, New Mexico, March 19-22, 2007
The Impact of the Numerical Discretization on Targeted Observations
H. Godinez and D.N. Daescu
2007 SIAM Conference on Mathematical and Computational Issues in the Geosciences
Santa Fe, New Mexico, March 19-22, 2007
Analysis of a POD Approach to Order Reduction in 4D-Var Data Assimilation
D.N. Daescu and I.M. Navon
2007 SIAM Conference on Computational Science and Engineering, Costa Mesa, CA, Feb 19-23, 2007
The Impact of Data Interaction on Targeted Observations with a 4D-Var
Data Assimilation System
D.N. Daescu, I.M. Navon, S. Akella, G. Erlebacher
The 11th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface (IOAS-AOLS)
87th AMS Annual Meeting,
San Antonio, TX 14-18 January 2007
Development of a Reduced Order Control Strategy in 4D-Var Data Assimilation
D.N. Daescu, I.M. Navon, G. Erlebacher, S. Akella
2006 AGU Fall Meeting,
San Francisco, Dec 11-15, 2006
The impact of background error on incomplete observations for 4D-Var
data assimilation with the FSU GSM
I.M. Navon, D.N. Daescu, Z. Liu
5th International Conference on Computational Science, Atlanta, GA, May 22-25, 2005.
Time dependent sensitivity analysis and parameter estimation for multiscale systems
D.N. Daescu and A. Sandu
2004 SIAM Annual Meeting, July 12-16, Portland, Oregon.
Adjoint sensitivity analysis and data assimilation for atmospheric chemical models
A. Sandu, G.R. Carmichael, D.N. Daescu, and T. Chai
2004 SIAM Annual Meeting, July 12-16, Portland, Oregon.
An analysis of the enriched optimization methods for variational data
assimilation
I.M. Navon and D.N. Daescu.
The sixteenth triennial conference of the International Federation of
Operational Research Societies (IFORS)
Edinburgh, Scotland,
July 8-12, 2002.
Adaptive observations in the context of 4D-Var data assimilation
I.M. Navon and D.N. Daescu
EGS XXVII General Essembly, Nice, France,
April 22-26, 2002.
Adjoint modeling for chemical reactions mechanisms: discrete versus
continuous
D.N. Daescu and A. Sandu
5th Workshop on Adjoint Applications in Dynamic
Meteorology, Pennsylvania, April 21-26, 2002.
Automatic generation of efficient adjoints for chemical kinetic
systems
A. Sandu and D.N. Daescu
5th Workshop on Adjoint Applications in Dynamic
Meteorology, Pennsylvania, April 21-26, 2002.
Adjoint sensitivity analysis applied to the adaptive location of
the observations
D.N. Daescu and G.R. Carmichael
2nd Conference on Air Pollution Modeling
and Simulation, April 9-12, 2001 Paris, France.
Adjoint data assimilation for aerosol dynamic equations
A. Sandu, D.N. Daescu and G.R. Carmichael.
2nd Conference on Air Pollution Modeling
and Simulation, April 9-12, 2001 Paris, France.
Efficient Location of the Observations in Data Assimilation for
Air Pollution Models
D.N. Daescu and G.R. Carmichael
First SIAM Conference on Computational Science and Engineering ,
Sept. 21-24, 2000 Washington, DC.
Coupled Transport-Chemistry Computations in 4D-Var Data
Assimilation
for Air Pollution Models
D.N. Daescu and G.R. Carmichael
IMA Workshop, Atmospheric Modeling, March 15-19, 2000
Minneapolis.
Adjoint Implementation of Rosenbrock Methods Applied to
Variational Data Assimilation
D.N. Daescu, G.R. Carmichael and A.Sandu
Millennium NATO/CCMS International Technical Meeting on Air Pollution
and Its Applications, May 15-19, 2000 Colorado.