Adjoint sensitivity analysis of regional air quality models A Sandu, DN Daescu, GR Carmichael, T Chai Journal of Computational Physics 204 (1), 222-252, 2005 | 296 | 2005 |
Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: Part I—theory and software tools A Sandu, DN Daescu, GR Carmichael Atmospheric Environment 37 (36), 5083-5096, 2003 | 259 | 2003 |
Second-order information in data assimilation FX Le Dimet, IM Navon, DN Daescu Monthly Weather Review 130 (3), 629-648, 2002 | 249 | 2002 |
Predicting air quality: Improvements through advanced methods to integrate models and measurements GR Carmichael, A Sandu, T Chai, DN Daescu, EM Constantinescu, ... Journal of Computational Physics 227 (7), 3540-3571, 2008 | 184 | 2008 |
On the sensitivity equations of four-dimensional variational (4D-Var) data assimilation DN Daescu Monthly Weather Review 136 (8), 3050-3065, 2008 | 105 | 2008 |
Efficiency of a POD‐based reduced second‐order adjoint model in 4D‐Var data assimilation DN Daescu, IM Navon International journal for numerical methods in fluids 53 (6), 985-1004, 2007 | 105 | 2007 |
A dual-weighted approach to order reduction in 4DVAR data assimilation DN Daescu, IM Navon Monthly Weather Review 136 (3), 1026-1041, 2008 | 104 | 2008 |
Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: II—Numerical validation and applications DN Daescu, A Sandu, GR Carmichael Atmospheric Environment 37 (36), 5097-5114, 2003 | 103 | 2003 |
Adaptive observations in the context of 4D-Var data assimilation DN Daescu, IM Navon Meteorology and Atmospheric Physics 85 (4), 205-226, 2004 | 100 | 2004 |
Chemical data assimilation of Transport and Chemical Evolution over the Pacific (TRACE‐P) aircraft measurements T Chai, GR Carmichael, A Sandu, Y Tang, DN Daescu Journal of Geophysical Research: Atmospheres 111 (D2), 2006 | 93 | 2006 |
The quest for model uncertainty quantification: A hybrid ensemble and variational data assimilation framework P Abbaszadeh, H Moradkhani, DN Daescu Water Resources Research 55 (3), 2407-2431, 2019 | 91 | 2019 |
Initiation of ensemble data assimilation M Zupanski, SJ Fletcher, IM Navon, B Uzunoglu, RP Heikes, DA Randall, ... Tellus A: Dynamic Meteorology and Oceanography 58 (2), 159-170, 2006 | 67 | 2006 |
An adjoint sensitivity method for the adaptive location of the observations in air quality modeling DN Daescu, GR Carmichael Journal of the atmospheric sciences 60 (2), 434-450, 2003 | 66 | 2003 |
Adjoint sensitivity of the model forecast to data assimilation system error covariance parameters DN Daescu, R Todling Quarterly Journal of the Royal Meteorological Society 136 (653), 2000-2012, 2010 | 60 | 2010 |
Adjoint implementation of Rosenbrock methods applied to variational data assimilation problems D Daescu, GR Carmichael, A Sandu Journal of Computational Physics 165 (2), 496-510, 2000 | 42 | 2000 |
An analysis of a hybrid optimization method for variational data assimilation DN Daescu, IM Navon International Journal of Computational Fluid Dynamics 17 (4), 299-306, 2003 | 40 | 2003 |
Adjoint estimation of the variation in model functional output due to the assimilation of data DN Daescu, R Todling Monthly Weather Review 137 (5), 1705-1716, 2009 | 38 | 2009 |
Error covariance sensitivity and impact estimation with adjoint 4D‐Var: theoretical aspects and first applications to NAVDAS‐AR DN Daescu, RH Langland Quarterly Journal of the Royal Meteorological Society 139 (670), 226-241, 2013 | 35 | 2013 |
Computational aspects of chemical data assimilation into atmospheric models GR Carmichael, DN Daescu, A Sandu, T Chai Computational Science—ICCS 2003: International Conference, Melbourne …, 2003 | 30 | 2003 |
Part B: Sensitivity Analysis in Non-linear Variational Data Assimilation: Theoretical Aspects and Applications DN Daescu, IM Navon Advanced numerical methods for complex environmental models: needs and …, 2013 | 22 | 2013 |