Abstract
Extreme precipitation is among the most destructive natural disasters. Simulating changes in regional extreme precipitation remains challenging, partially limited by climate models’ horizontal resolution. Here, we use an ensemble of high-resolution global climate model simulations to study September–November extreme precipitation over the Northeastern United States, where extremes have increased rapidly since the mid-1990s. We show that a model with 25 km horizontal resolution simulates much more realistic extreme precipitation than comparable models with 50 or 100 km resolution, including frequency, amplitude, and temporal variability. The 25 km model simulated trends are quantitatively consistent with observed trends over recent decades. We use the same model for future projections. By the mid-21st century, the model projects unprecedented rainfall events over the region, driven by increasing anthropogenic radiative forcing and distinguishable from natural variability. Very extreme events (>150 mm/day) may be six times more likely by 2100 than in the early 21st century.
| Original language | English |
|---|---|
| Article number | 18 |
| Journal | npj Climate and Atmospheric Science |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Dec 2023 |
| Externally published | Yes |
Funding
We are grateful to Dr. Liwei Jia, Dr. Baoqiang Xiang, and Dr. Robert Nazarian for constructive comments on the manuscript. Bor-Ting Jong received award NA18OAR4320123 under Cooperative Institute for Modeling the Earth System (CIMES) at Princeton University and the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration, or the U.S. Department of Commerce. We also appreciate three anonymous reviewers for comments on various aspects of the manuscript.
| Funders |
|---|
| Cooperative Institute for Modeling the Earth System |
| U.S. Department of Commerce |
| National Oceanic and Atmospheric Administration |
| Princeton University |
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