- Search
- Impacts, Risks, and Adaptation in the United States: The Fourth National Climate Assessment, Volume II
- Featured Publications
- All Publications
- contributors
reference : Quantifying changes in future intensity‐duration‐frequency curves using multimodel ensemble simulations
JSON YAML text HTML Turtle N-Triples JSON Triples RDF+XML RDF+JSON Graphviz SVG
/reference/0f9e5019-e16c-493c-bc41-b199d17bb393.html
/reference/0f9e5019-e16c-493c-bc41-b199d17bb393.html
Referencing Publications:
Reference URIs:
report
chapter
Reference URIs:
- /reference/0f9e5019-e16c-493c-bc41-b199d17bb393
- /report/nca4/reference/0f9e5019-e16c-493c-bc41-b199d17bb393
- /report/nca4/chapter/water/reference/0f9e5019-e16c-493c-bc41-b199d17bb393
Referenced Publication:
article
| reftype | Journal Article |
| Abstract | During the last century, we have observed a warming climate with more intense precipitation extremes in some regions, likely due to increases in the atmosphere's water holding capacity. Traditionally, infrastructure design and rainfall‐triggered landslide models rely on the notion of stationarity, which assumes that the statistics of extremes do not change significantly over time. However, in a warming climate, infrastructures and natural slopes will likely face more severe climatic conditions, with potential human and socioeconomical consequences. Here we outline a framework for quantifying climate change impacts based on the magnitude and frequency of extreme rainfall events using bias corrected historical and multimodel projected precipitation extremes. The approach evaluates changes in rainfall Intensity‐Duration‐Frequency (IDF) curves and their uncertainty bounds using a nonstationary model based on Bayesian inference. We show that highly populated areas across the United States may experience extreme precipitation events up to 20% more intense and twice as frequent, relative to historical records, despite the expectation of unchanged annual mean precipitation. Since IDF curves are widely used for infrastructure design and risk assessment, the proposed framework offers an avenue for assessing resilience of infrastructure and landslide hazard in a warming climate. |
| Author | Ragno, Elisa; AghaKouchak, Amir; Love, Charlotte A.; Cheng, Linyin; Vahedifard, Farshid; Lima, Carlos H. R. |
| DOI | 10.1002/2017WR021975 |
| Issue | 3 |
| Journal | Water Resources Research |
| Pages | 1751-1764 |
| Title | Quantifying changes in future intensity‐duration‐frequency curves using multimodel ensemble simulations |
| Volume | 54 |
| Year | 2018 |
| _record_number | 25381 |
| _uuid | 0f9e5019-e16c-493c-bc41-b199d17bb393 |
