T. Chai

发表

Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

T. Chai, R. Draxler, 2014 .

Ensemble-based chemical data assimilation II: Real observations

Emil M. Constantinescu, Adrian Sandu, Tianfeng Chai, 2006 .

Ensemble‐based chemical data assimilation. I: General approach

Emil M. Constantinescu, Adrian Sandu, Tianfeng Chai, 2007 .

Source term estimation using air concentration measurements and a Lagrangian dispersion model – Experiments with pseudo and real cesium-137 observations from the Fukushima nuclear accident

T. Chai, R. Draxler, A. Stein, 2015 .

International challenge to model the long-range transport of radioxenon released from medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty monitoring stations.

T. Chai, P. Seibert, A. Mathieu, 2018, Journal of environmental radioactivity.

Retrieval of Microscale Flow Structures from High-Resolution Doppler Lidar Data Using an Adjoint Model

Tianfeng Chai, Ching-Long Lin, Rob K. Newsom, 2004 .

Top-down estimate of mercury emissions in China using four-dimensional variational data assimilation

G. Carmichael, T. Chai, D. Streets, 2007 .

Assessment of ensemble-based chemical data assimilation in an idealized setting

Emil M. Constantinescu, Adrian Sandu, Tianfeng Chai, 2007 .

Differences between magnitudes and health impacts of BC emissions across the United States using 12 km scale seasonal source apportionment.

P. Percell, G. Carmichael, Adrian Sandu, 2015, Environmental science & technology.

3D-Var versus Optimal Interpolation for Aerosol Assimilation: a Case Studyover the Contiguous United States

L. D. Monache, T. Chai, M. Pagowski, 2017 .

International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station.

T. Chai, P. Seibert, O. Saunier, 2016, Journal of environmental radioactivity.

Potential Use of Transport and Dispersion Model Ensembles for Forecasting Applications

T. Chai, R. Draxler, A. Stein, 2015 .

Changes in nitrogen oxides emissions in California during 2005–2010 indicated from top‐down and bottom‐up emission estimates

K. Bowman, J. Worden, G. Carmichael, 2014 .

Improved Curve Number Estimation in SWAT by Reflecting the Effect of Rainfall Intensity on Runoff Generation

T. Chai, Xing-wei Chen, Dejian Zhang, 2019, Water.

Weak-constraint inverse modeling using HYSPLIT-4 Lagrangian dispersion model and Cross-Appalachian Tracer Experiment (CAPTEX) observations – effect of including model uncertainties on source term estimation

T. Chai, A. Stein, F. Ngan, 2018, Geoscientific Model Development.

A multiphase CMAQ version 5.0 adjoint.

P. Percell, G. Carmichael, T. Chai, 2019, Geoscientific model development.

Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls

J. Seinfeld, K. Mehmood, T. Chai, 2020, Atmospheric Chemistry and Physics.

Reply to Comment on ‘Premature deaths attributed to source-specific BC emissions in six urban US regions’

P. Percell, G. Carmichael, Adrian Sandu, 2015 .

Ensemble-based chemical data assimilation I: An idealized setting

G. Carmichael, Adrian Sandu, T. Chai, 2006 .

Adjoint sensitivity analysis of regional air quality models

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

Diagnostic Evaluation of NOx Emission Upgrade on Air Quality Forecast

T. Chai, Pius Lee, D. Tong, 2014 .

Evaluation and bias correction of probabilistic volcanic ash forecasts

T. Chai, M. Pavolonis, J. Sieglaff, 2022, Atmospheric Chemistry and Physics.

Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations

T. Chai, S. Kondragunta, Hyun‐cheol Kim, 2020, Atmospheric Chemistry and Physics.

Building and Testing Atmospheric Chemistry Reanalysis Modeling System

T. Chai, Pius Lee, D. Tong, 2014 .

Incremental Development of Air Quality Forecasting System with Off-Line/On-Line Capability: Coupling CMAQ to NCEP National Mesoscale Model

T. Chai, Youhua Tang, D. Byun, 2011 .

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 .

Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season

J. Schnoor, C. Sweeney, G. Carmichael, 2008, Science.

Elucidating emissions control strategies for ozone to protect human health and public welfare within the continental United States

G. Carmichael, Adrian Sandu, T. Chai, 2019, Environmental Research Letters.

Ensemble‐based chemical data assimilation. II: Covariance localization

Emil M. Constantinescu, Adrian Sandu, Tianfeng Chai, 2007, Quarterly Journal of the Royal Meteorological Society.

Four-dimensional data assimilation experiments with International Consortium for Atmospheric Research on Transport and Transformation ozone measurements

Adrian Sandu, Peter Pilewskie, Tianfeng Chai, 2007 .

Autoregressive models of background errors for chemical data assimilation

Emil M. Constantinescu, Adrian Sandu, Gregory R. Carmichael, 2007 .

Computational Aspects of Chemical Data Assimilation into Atmospheric Models

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

Improving predictability of high ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign

T. Chai, Xuelei Zhang, T. Berkoff, 2021 .

Root mean square error (RMSE) or mean absolute error (MAE)

Roland R. Draxler, Tianfeng Chai, T. Chai, 2014 .

Estimation of Turbulent Viscosity and Diffusivity in Adjoint Recovery of Atmospheric Boundary Layer Flow Structures

Ching-Long Lin, Tianfeng Chai, T. Chai, 2003, Multiscale Model. Simul..

Adjoint sensitivity analysis of ozone nonattainment over the continental United States.

Adrian Sandu, Tianfeng Chai, Youhua Tang, 2006, Environmental science & technology.

Improved western U.S. background ozone estimates via constraining nonlocal and local source contributions using Aura TES and OMI observations

K. Bowman, G. Carmichael, T. Chai, 2015 .

A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique

V. Ramanathan, G. Carmichael, T. Chai, 2008 .

Analysis of anthropogenic CO2 signal in ICARTT using a regional chemical transport model and observed tracers

J. Schnoor, G. Carmichael, T. Chai, 2007 .

Evaluating oil and gas contributions to ambient nonmethane hydrocarbon mixing ratios and ozone-related metrics in the Colorado Front Range

G. Carmichael, Adrian Sandu, T. Chai, 2020 .

Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign

T. Chai, Xuelei Zhang, T. Berkoff, 2021, Atmospheric Chemistry and Physics.

LIS Ozone Forecasting 1 Improving predictability of high ozone episodes through dynamic boundary conditions , emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study ( LISTOS ) field campaign 5

T. Chai, Xuelei Zhang, T. Berkoff, 2021 .

A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods

L. D. Monache, T. Chai, M. Pagowski, 2017 .

Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5 assimilation on Community Multi‐scale Air Quality aerosol predictions over the contiguous United States

T. Chai, Hyun‐cheol Kim, Pius Lee, 2017 .

Using optimal interpolation to assimilate surface measurements and satellite AOD for ozone and PM2.5: A case study for July 2011

T. Chai, Youhua Tang, Hyun‐cheol Kim, 2015, Journal of the Air & Waste Management Association.

Chemical Data Assimilation—An Overview

Adrian Sandu, Tianfeng Chai, Adrian Sandu, 2011 .

Assessment of NOx and O3 forecasting performances in the U.S. National Air Quality Forecasting Capability before and after the 2012 major emissions updates

T. Chai, Pius Lee, D. Tong, 2014 .

Long-term NOx trends over large cities in the United States during the great recession: Comparison of satellite retrievals, ground observations, and emission inventories

T. Chai, K. Pickering, L. Lamsal, 2015 .

“Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary observations”

T. Chai, S. Kondragunta, A. Stein, 2020 .

Influence of lateral and top boundary conditions on regional air quality prediction: A multiscale study coupling regional and global chemical transport models

Jassim A. Al-Saadi, David G. Streets, Tianfeng Chai, 2007 .

Impacts of transported background pollutants on summertime western US air quality: model evaluation, sensitivity analysis and data assimilation

K. Bowman, T. Chai, A. Weinheimer, 2012 .

A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ

Li Pan, Pius Lee, Hyun Cheol Kim, 2018, Remote. Sens..

Evaluation of the United States National Air Quality Forecast Capability experimental real-time predictions in 2010 using Air Quality System ozone and NO 2 measurements

Tianfeng Chai, Ivanka Stajner, Youhua Tang, 2013 .

Singular Vector Analysis for Atmospheric Chemical Transport Models

Adrian Sandu, Tianfeng Chai, Wenyuan Liao, 2006 .

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

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

High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model

G. Carmichael, P. Coheur, T. Chai, 2020, Atmospheric Chemistry and Physics.

COMPUTATIONAL ASPECTS OF 4D-VAR CHEMICAL DATA ASSIMILATION IN ATMOSPHERIC MODELS

Adrian Sandu, T. Chai, Adrian Sandu, 2004 .

An adjoint sensitivity analysis and 4D-Var data assimilation study of Texas air quality

Emil M. Constantinescu, Adrian Sandu, Daewon W. Byun, 2008 .

Improving regional ozone modeling through systematic evaluation of errors using the aircraft observations during the International Consortium for Atmospheric Research on Transport and Transformation

G. Carmichael, L. Horowitz, D. Blake, 2007 .

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

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

Adjoint inverse modeling of black carbon during the Asian Pacific Regional Aerosol Characterization Experiment

Adrian Sandu, Tianfeng Chai, Youhua Tang, 2005 .

Oscillation-free Source Term Inversion of Atmospheric Radionuclide Releases With Joint Model Bias Corrections and Non-smooth Competing Priors

T. Chai, Shuhan Zhuang, Xinwen Dong, 2022, Journal of Hazardous Materials.

Regional NOx emission inversion through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 column observations

Adrian Sandu, John P. Burrows, Tianfeng Chai, 2009 .

Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chemistry

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

Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals

Michael J. Pavolonis, Tianfeng Chai, Barbara J. B. Stunder, 2016 .

Estimation of power plant SO2 emissions using the HYSPLIT dispersion model and airborne observations with plume rise ensemble runs

T. Chai, X. Ren, F. Ngan, 2023, Atmospheric Chemistry and Physics.

Retrieval of Flow Structures in a Convective Boundary Layer Using an Adjoint Model: Identical Twin Experiments

Juanzhen Sun, T. Chai, Ching-Long Lin, 2001 .

Computational Aspects of Data Assimilation for Aerosol Dynamics

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