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PDRMIP: A Precipitation Driver and Response Model Intercomparison Project, Protocol and preliminary results
G Myhre1, P M Forster2, B H Samset1
1CICERO Center for International Climate and Environmental Research - Oslo, Norway.
Bulletin of the American Meteorological Society
|July 28, 2020
Summary
Climate change impacts global precipitation patterns and extreme events. The Precipitation Driver and Response Model Intercomparison Project (PDRMIP) quantifies model differences in precipitation responses to climate forcings.
Area of Science:
- Climate Science
- Atmospheric Science
- Hydrology
Background:
- Global temperature rise alters precipitation patterns through complex physical mechanisms.
- Extreme precipitation intensity changes more rapidly than average precipitation rates.
- Climate models exhibit significant inter-model differences in predicting regional precipitation variations.
Purpose of the Study:
- To investigate the role of different climate forcing mechanisms on precipitation changes.
- To understand how climate models represent rapid adjustments and slower responses in precipitation.
- To quantify the causes of model spread in future climate projections.
Main Methods:
- Conducted idealized experiments using a large set of climate models.
- Introduced the Precipitation Driver and Response Model Intercomparison Project (PDRMIP).
- Focused on analyzing precipitation changes related to rapid adjustments and slower responses to climate forcings.
Main Results:
- Rapid adjustments significantly contribute to regional differences in hydrological sensitivity across various drivers.
- Identified key mechanisms driving precipitation changes in response to different climate forcings.
- Highlighted the substantial role of rapid adjustments in explaining model diversity.
Conclusions:
- PDRMIP results are crucial for improving precipitation predictions under climate change.
- Understanding model differences in rapid adjustments is key to reducing uncertainty in climate projections.
- The study provides a framework for better quantifying climate model responses to forcings.
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