D. Daescu

发表

An Analysis of a Hybrid Optimization Method for Variational Data Assimilation

Ionel M. Navon, D. Daescu, 2003 .

Adjoint Implementation of Rosenbrock Methods Applied to Variational Data Assimilation Problems

G. Carmichael, Adrian Sandu, D. Daescu, 2000, Journal of Computational Physics.

Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: II—numerical validation and applications

G. Carmichael, Adrian Sandu, D. Daescu, 2003 .

Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: Part I—theory and software tools

G. Carmichael, Adrian Sandu, D. Daescu, 2003, Atmospheric Environment.

A Dual-Weighted Approach to Order Reduction in 4DVAR Data Assimilation

Ionel M. Navon, D. Daescu, 2008, Monthly Weather Review.

Efficiency of a POD-based reduced second-order adjoint model in 4 D-Var data assimilation

Ionel M. Navon, D. Daescu, 2006 .

Second-Order Information in Data Assimilation*

Ionel M. Navon, F. L. Dimet, D. Daescu, 2002 .

SENSITIVITY ANALYSIS IN NONLINEAR VARIATIONAL DATA ASSIMILATION : THEORETICAL ASPECTS AND APPLICATIONS

Ionel M. Navon, D. Daescu, 2012 .

Observation targeting with a second-order adjoint method for increased predictability

D. Daescu, H. Godinez, 2011 .

Coupled Transport-Chemistry Computations in 4D-Var Data Assimilation for Air Pollution Models

G. Carmichael, D. Daescu, 2002 .

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G. Carmichael, D. Daescu, 2022 .

On the Sensitivity Equations of Four-Dimensional Variational (4D-Var) Data Assimilation

D. Daescu, 2008 .

Error covariance sensitivity and impact estimation with adjoint 4D‐Var: theoretical aspects and first applications to NAVDAS‐AR

Dacian N. Daescu, Rolf H. Langland, D. Daescu, 2013 .

5 FORECAST SENSITIVITY TO DATA ASSIMILATION SYSTEM OBSERVATION AND BACKGROUND ERROR COVARIANCE PARAMETERS

R. Todling, D. Daescu, R. Langland, 2011 .

Adjoint sensitivity of the model forecast to data assimilation system error covariance parameters

Dacian N. Daescu, Ricardo Todling, R. Todling, 2010 .

Adjoint Estimation of the Variation in Model Functional Output due to the Assimilation of Data

R. Todling, D. Daescu, 2009 .

Initiation of ensemble data assimilation

Todd D. Ringler, Dacian N. Daescu, Ionel Michael Navon, 2006 .

Adjoint sensitivity analysis of regional air quality models

Adrian Sandu, Dacian N. Daescu, Tianfeng Chai, 2005 .

Theoretical and practical aspects of data assimilation for air pollution models

D. Daescu, 2001 .

A single particle impact model for motion in avalanches

D. Daescu, J. Veerman, P. J. Torres, 2009 .

Forecast sensitivity to the observation error covariance in variational data assimilation

Dacian N. Daescu, D. Daescu, 2010, ICCS.

Predicting air quality: Improvements through advanced methods to integrate models and measurements

Emil M. Constantinescu, Adrian Sandu, Dacian N. Daescu, 2008, J. Comput. Phys..

Predicting Air Quality: Current Status and Future Directions

Emil M. Constantinescu, Adrian Sandu, Dacian N. Daescu, 2008 .

Computational Aspects of Chemical Data Assimilation into Atmospheric Models

Adrian Sandu, Dacian N. Daescu, Gregory R. Carmichael, 2003, International Conference on Computational Science.

An adjoint sensitivity method for the adaptive location of the observations in air quality modeling

Dacian N. Daescu, Gregory R. Carmichael, G. Carmichael, 2003 .

The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework

Dacian N. Daescu, Peyman Abbaszadeh, Hamid Moradkhani, 2019, Water resources research.

Sensitivity of the model error parameter specification in weak-constraint four-dimensional variational data assimilation

Dacian N. Daescu, Jeremy Shaw, D. Daescu, 2017, J. Comput. Phys..

An Ensemble Approach to Weak-Constraint Four-Dimensional Variational Data Assimilation

Dacian N. Daescu, Jeremy Shaw, D. Daescu, 2016, ICCS.

NOTES AND CORRESPONDENCE On the Deterministic Observation Impact Guidance: A Geometrical Perspective

Dacian N. Daescu, D. Daescu, 2009 .

Adaptive observations in the context of 4D-Var data assimilation

Dacian N. Daescu, Ionel Michael Navon, Ionel M. Navon, 2004 .

Adjoint Sensitivity Analysis Applied to the Adaptive Location of the Observations

Dacian N. Daescu, Gregory R. Carmichael, G. Carmichael, 2002 .

A communication library for the parallelization of air quality models on structured grids

Adrian Sandu, Youhua Tang, Philipp Miehe, 2002 .

Ensemble Methods for Dynamic Data Assimilation of Chemical Observations in Atmospheric Models

Emil M. Constantinescu, Dacian N. Daescu, Adrian Sandu, 2011 .

Computational challenges of modelling interactions between aerosol and gas phase processes in large‐scale air pollution models

Adrian Sandu, Florian A. Potra, Gregory R. Carmichael, 1999, Environmental Management and Health.

Efficiency of a POD-based reduced second-order adjoint model in 4 D-Var data assimilation

Ionel M. Navon, D. Daescu, 2006 .

Chemical data assimilation of Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft measurements

Adrian Sandu, Dacian N. Daescu, Tianfeng Chai, 2006 .

The Impact of Background Error on Incomplete Observations for 4D-Var Data Assimilation with the FSU GSM

Dacian N. Daescu, Zhuo Liu, Ionel Michael Navon, 2005, International Conference on Computational Science.

Sensitivity analysis in variational data assimilation and applications

D. Daescu, 2009 .

Advanced Numerical Methods for Complex Environmental Models: Needs and Availability

Zahari Zlatev, Barry Koren, Dacian N. Daescu, 2018 .

Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chemistry

Emil M. Constantinescu, Adrian Sandu, Dacian N. Daescu, 2007, International Conference on Computational Science.

4 REDUCED-ORDER OBSERVATION SENSITIVITY IN 4 D-VAR DATA ASSIMILATION

Ionel M. Navon, D. Daescu, 2008 .

Adjoint Data Assimilation for Aerosol Dynamic Equations

G. Carmichael, Adrian Sandu, D. Daescu, 2002 .

An adjoint sensitivity method for the adaptive location of the observations in air quality modeling

G. Carmichael, D. Daescu, 2003 .

Computational Aspects of Data Assimilation for Aerosol Dynamics

Adrian Sandu, Dacian N. Daescu, Wenyuan Liao, 2004, International Conference on Computational Science.

On the Sensitivity Equations of Four-Dimensional Variational (4D-Var) Data Assimilation

D. Daescu, 2008 .

Ensemble-Based Data Assimilation for Atmospheric Chemical Transport Models

Emil M. Constantinescu, Adrian Sandu, Dacian N. Daescu, 2005, International Conference on Computational Science.