| Improved Gauss law model and in-medium heavy quarkonium at finite density and velocity D Lafferty, A Rothkopf Physical Review D 101 (5), 056010, 2020 | 59 | 2020 |
| Uncertainty analysis in multi‐sector systems: Considerations for risk analysis, projection, and planning for complex systems V Srikrishnan, DC Lafferty, TE Wong, JR Lamontagne, JD Quinn, ... Earth's Future 10 (8), e2021EF002644, 2022 | 24 | 2022 |
| Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on US maize yields DC Lafferty, RL Sriver, I Haqiqi, TW Hertel, K Keller, RE Nicholas Communications Earth & Environment 2 (1), 196, 2021 | 16 | 2021 |
| Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6 D Lafferty, R Sriver npj Climate and Atmospheric Science 2023 (6), 2023 | 5 | 2023 |
| Quarkonium Phenomenology from a Generalised Gauss Law D Lafferty, A Rothkopf Universe 5 (5), 119, 2019 | 3 | 2019 |
| Global variance decomposition of downscaled and bias-corrected CMIP6 climate projections D Lafferty, R Sriver MultiSector Dynamics-Living, Intuitive, Value-adding, Environment, 2023 | 1 | 2023 |
| Assessment of storm‐associated precipitation and its extremes using observational data sets and climate model short‐range hindcasts WY Wu, HY Ma, DC Lafferty, Z Feng, P Ullrich, Q Tang, JC Golaz, D Galea, ... Journal of Geophysical Research: Atmospheres 129 (9), e2023JD039697, 2024 | | 2024 |
| Author Correction: Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6 DC Lafferty, RL Sriver npj Climate and Atmospheric Science 7 (1), 16, 2024 | | 2024 |
| Using storm tracking to evaluate Energy Exascale Earth System Model (E3SM) short-range hindcast WY Wu, HY Ma, DC Lafferty, Z Feng, PA Ullrich, Q Tang, JC Golaz, ... AGU23, 2023 | | 2023 |
| A comprehensive assessment of high-resolution gridded observational meteorological datasets for use in multi-sector impact analyses E Monier, S Alba, CD Burleyson, AD Jones, D Lafferty, R McManamay, ... AGU23, 2023 | | 2023 |
| A Combined Sensitivity Analysis of Future Soil Moisture Projections in the Central United States DC Lafferty, DS Grogan, A Alipour, S Zuidema, I Haqiqi, RL Sriver, ... AGU23, 2023 | | 2023 |
| Downscaling and Bias-Correction Contribute Considerable Uncertainty to Local Climate Projections in CMIP6 RL Sriver, D Lafferty AGU23, 2023 | | 2023 |
| Contributions of Storm-Associated Precipitation and its Extreme using Observations WY Wu, HY Ma, DC Lafferty, Q Tang, JC Golaz AGU Fall Meeting Abstracts 2022, A15K-1371, 2022 | | 2022 |
| Uncertainty in the Representation of Climate Extremes Across Downscaled and Bias-Corrected CMIP Model Ensembles DC Lafferty, RL Sriver AGU Fall Meeting Abstracts 2022, GC22D-06, 2022 | | 2022 |
| Characterizing Uncertainties in the Crop Switching Decision Problem for US Agriculture D Lafferty, R Sriver AGU Fall Meeting Abstracts 2021, GC12B-05, 2021 | | 2021 |
| Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on US maize yields R Sriver, D Lafferty, I Haqiqi, T Hertel, K Keller, R Nicholas AGU Fall Meeting Abstracts 2021, GC15E-0748, 2021 | | 2021 |
| Uncertainties in Driving Agricultural Models with Downscaled and Bias-Corrected Climate Information DC Lafferty, RL Sriver, I Haqiqi, TW Hertel, K Keller, R Nicholas, ... AGU Fall Meeting Abstracts 2020, GC075-07, 2020 | | 2020 |
| Climate uncertainty in agricultural modeling: the effects of downscaling and bias-correction DC Lafferty, RL Sriver, I Haqiqi, TW Hertel, R Nicholas, K Keller, ... AGU Fall Meeting Abstracts 2019, GC53H-1224, 2019 | | 2019 |
| How do Downscaling and Bias-Correction Alter the Uncertainty Decomposition of Future Climate Projections? DC Lafferty, RL Sriver AGU23, 0 | | |
