Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques D Pollard, W Chang, M Haran, P Applegate, R DeConto Geoscientific Model Development 9 (5), 1697-1723, 2016 | 92 | 2016 |
Changes in spatiotemporal precipitation patterns in changing climate conditions W Chang, ML Stein, J Wang, VR Kotamarthi, EJ Moyer Journal of Climate 29 (23), 8355-8376, 2016 | 84 | 2016 |
Calibrating an ice sheet model using high-dimensional binary spatial data W Chang, M Haran, P Applegate, D Pollard Journal of the American Statistical Association 111 (513), 57-72, 2016 | 59 | 2016 |
Fast dimension-reduced climate model calibration and the effect of data aggregation W Chang, M Haran, R Olson, K Keller | 55 | 2014 |
Fast and accurate learned multiresolution dynamical downscaling for precipitation J Wang, Z Liu, I Foster, W Chang, R Kettimuthu, VR Kotamarthi Geoscientific Model Development 14 (10), 6355-6372, 2021 | 49 | 2021 |
What is the effect of unresolved internal climate variability on climate sensitivity estimates? R Olson, R Sriver, W Chang, M Haran, NM Urban, K Keller Journal of Geophysical Research: Atmospheres 118 (10), 4348-4358, 2013 | 30 | 2013 |
Probabilistic calibration of a Greenland Ice Sheet model using spatially resolved synthetic observations: toward projections of ice mass loss with uncertainties W Chang, PJ Applegate, M Haran, K Keller Geoscientific Model Development 7 (5), 1933-1943, 2014 | 29* | 2014 |
Monthly rainfall-runoff modeling at watershed scale: A comparative study of data-driven and theory-driven approaches W Chang, X Chen Water 10 (9), 1116, 2018 | 28 | 2018 |
A composite likelihood approach to computer model calibration with high-dimensional spatial data W Chang, M Haran, R Olson, K Keller Statistica Sinica, 243-259, 2015 | 18 | 2015 |
High-fidelity hurricane surge forecasting using emulation and sequential experiments M Plumlee, TG Asher, W Chang, MV Bilskie | 17 | 2021 |
Improving ice sheet model calibration using paleoclimate and modern data W Chang, M Haran, P Applegate, D Pollard | 17 | 2016 |
Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking W Chang, J Wang, J Marohnic, VR Kotamarthi, EJ Moyer Climate Dynamics, 2018 | 16 | 2018 |
A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models R Olson, SI An, Y Fan, W Chang, JP Evans, JY Lee Nature communications 10 (1), 3016, 2019 | 14 | 2019 |
Computer model calibration based on image warping metrics: an application for sea ice deformation Y Guan, C Sampson, JD Tucker, W Chang, A Mondal, M Haran, D Sulsky Journal of Agricultural, Biological and Environmental Statistics 24, 444-463, 2019 | 12 | 2019 |
Bayesian pollution source identification via an inverse physics model Y Hwang, HJ Kim, W Chang, K Yeo, Y Kim Computational Statistics & Data Analysis 134, 76-92, 2019 | 12 | 2019 |
An illustration of model agnostic explainability methods applied to environmental data CK Wikle, A Datta, BV Hari, EL Boone, I Sahoo, I Kavila, S Castruccio, ... Environmetrics 34 (1), e2772, 2023 | 10 | 2023 |
An interaction Neyman–Scott point process model for coronavirus disease-19 J Park, W Chang, B Choi Spatial Statistics 47, 100561, 2022 | 10 | 2022 |
Computer model calibration with time series data using deep learning and quantile regression S Bhatnagar, W Chang, SKJ Wang SIAM/ASA Journal on Uncertainty Quantification 10 (1), 2022 | 10 | 2022 |
Ice model calibration using semicontinuous spatial data W Chang, BA Konomi, G Karagiannis, Y Guan, M Haran The Annals of Applied Statistics 16 (3), 1937-1961, 2022 | 6 | 2022 |
Fast and accurate learned multiresolution dynamical downscaling for precipitation, Geosci. Model Dev., 14, 6355–6372 J Wang, Z Liu, I Foster, W Chang, R Kettimuthu, VR Kotamarthi | 6 | 2021 |