| Contribution of historical precipitation change to US flood damages FV Davenport, M Burke, NS Diffenbaugh Proceedings of the National Academy of Sciences 118 (4), e2017524118, 2021 | 203 | 2021 |
| Using machine learning to analyze physical causes of climate change: A case study of US Midwest extreme precipitation FV Davenport, NS Diffenbaugh Geophysical Research Letters 48 (15), e2021GL093787, 2021 | 115 | 2021 |
| Flood size increases nonlinearly across the western United States in response to lower snow‐precipitation ratios FV Davenport, JE Herrera‐Estrada, M Burke, NS Diffenbaugh Water Resources Research 56 (1), e2019WR025571, 2020 | 82 | 2020 |
| Historical warming has increased US crop insurance losses NS Diffenbaugh, FV Davenport, M Burke Environmental Research Letters 16 (8), 084025, 2021 | 58 | 2021 |
| Quantifying the effect of precipitation on landslide hazard in urbanized and non‐urbanized areas EC Johnston, FV Davenport, L Wang, JK Caers, S Muthukrishnan, ... Geophysical Research Letters 48 (16), e2021GL094038, 2021 | 42 | 2021 |
| Emergent constraints on the large-scale atmospheric circulation and regional hydroclimate: Do they still work in CMIP6 and how much can they actually constrain the future? IR Simpson, KA McKinnon, FV Davenport, M Tingley, F Lehner, ... Journal of Climate 34 (15), 6355-6377, 2021 | 36 | 2021 |
| Diverse physical processes drive upper‐tail flood quantiles in the US Mountain West G Yu, DB Wright, FV Davenport Geophysical Research Letters 49 (10), e2022GL098855, 2022 | 21 | 2022 |
| On the impossibility of extreme event thresholds in the absence of global warming NS Diffenbaugh, FV Davenport Environmental Research Letters 16 (11), 115014, 2021 | 10 | 2021 |
| Using Machine Learning With Partial Dependence Analysis to Investigate Coupling Between Soil Moisture and Near‐Surface Temperature JT Trok, FV Davenport, EA Barnes, NS Diffenbaugh Journal of Geophysical Research: Atmospheres 128 (12), e2022JD038365, 2023 | 6 | 2023 |
| Separating internal and forced contributions to near term SST predictability in the CESM2-LE EM Gordon, EA Barnes, FV Davenport Environmental Research Letters 18 (10), 104047, 2023 | 5 | 2023 |
| Exploring the Influence of Summer Temperature on Human Mobility During the COVID‐19 Pandemic in the San Francisco Bay Area A Ly, FV Davenport, NS Diffenbaugh GeoHealth 7 (6), e2022GH000772, 2023 | 5 | 2023 |
| Machine learning–based extreme event attribution JT Trok, EA Barnes, FV Davenport, NS Diffenbaugh Science Advances 10 (34), eadl3242, 2024 | 3 | 2024 |
| Combining neural networks and CMIP6 simulations to learn windows of opportunity for skillful prediction of multiyear sea surface temperature variability FV Davenport, EA Barnes, EM Gordon Geophysical Research Letters 51 (11), e2023GL108099, 2024 | | 2024 |
Noah DiffenbaughProfessor, Doerr School of Sustainability, Stanford UniversityVerificeret mail på stanford.edu