Fast and slow precipitation responses to individual climate forcers: A PDRMIP multimodel study

By B. Samset, G. Myhre, Piers M. Forster, Ø. Hodnebrog, T. Andrews, G. Faluvegi, Dagmar Fläschner, M. Kasoar, V. Kharin, A. Kirkevåg and 7 more. 2016

192 citations recorded by the source corpus.

Precipitation is expected to respond differently to various drivers of anthropogenic climate change. We present the first results from the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), where nine global climate models have perturbed CO2, CH4, black carbon, sulfate, and solar insolation. We divide the resulting changes to global mean and regional precipitation into fast responses that scale with changes in atmospheric absorption and slow responses scaling with surface temperature change. While the overall features are broadly similar between models, we find significant regional intermodel variability, especially over land. Black carbon stands out as a component that may cause significant model diversity in predicted precipitation change. Processes linked to atmospheric absorption are less consistently modeled than those linked to top‐of‐atmosphere radiative forcing. We identify a number of land regions where the model ensemble consistently predicts that fast precipitation responses to climate perturbations dominate over the slow, temperature‐driven responses.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3e8161cb309c380fbdac5f216a9762b55944dca2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

  1. Ben Kravitz
  2. I. Simpson
  3. J. Richter
  4. Douglas G. MacMartin
  5. John T. Fasullo
  6. A. Pendergrass
  7. M. Mills
  8. S. Tilmes

In Global and Planetary Change

  1. Ben Kravitz
  2. I. Simpson
  3. J. Richter
  4. Douglas G. MacMartin
  5. John T. Fasullo
  6. A. Pendergrass
  7. M. Mills
  8. S. Tilmes

Citations in the corpus