Imperial College London
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DrMatthewKasoar

Faculty of Natural Sciences, Department of Physics

Research Associate
 
 
 
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Contact

 

m.kasoar12

 
 
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Location

 

062ChemistrySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Myhre:2017:10.1175/BAMS-D-16-0019.1,
author = {Myhre, G and Forster, PM and Samset, BH and Hodnebrog, O and Sillmann, J and Aalbergsjo, SG and Andrews, T and Boucher, O and Faluvegi, G and Flaeschner, D and Iversen, T and Kasoar, M and Kharin, V and Kirkevag, A and Lamarque, J-F and Olivie, D and Richardson, TB and Shindell, D and Shine, KP and Stjern, CW and Takemura, T and Voulgarakis, A and Zwiers, F},
doi = {10.1175/BAMS-D-16-0019.1},
journal = {Bulletin of the American Meteorological Society},
pages = {1185--1198},
title = {PDRMIP A Precipitation Driver and Response Model Intercomparison Project-Protocol and Preliminary Results},
url = {http://dx.doi.org/10.1175/BAMS-D-16-0019.1},
volume = {98},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - As the global temperature increases with changing climate, precipitation rates and patterns are affected through a wide range of physical mechanisms. The globally averaged intensity of extreme precipitation also changes more rapidly than the globally averaged precipitation rate. While some aspects of the regional variation in precipitation predicted by climate models appear robust, there is still a large degree of intermodel differences unaccounted for. Individual drivers of climate change initially alter the energy budget of the atmosphere, leading to distinct rapid adjustments involving changes in precipitation. Differences in how these rapid adjustment processes manifest themselves within models are likely to explain a large fraction of the present model spread and better quantifications are needed to improve precipitation predictions. Here, the authors introduce the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), where a set of idealized experiments designed to understand the role of different climate forcing mechanisms were performed by a large set of climate models. PDRMIP focuses on understanding how precipitation changes relating to rapid adjustments and slower responses to climate forcings are represented across models. Initial results show that rapid adjustments account for large regional differences in hydrological sensitivity across multiple drivers. The PDRMIP results are expected to dramatically improve understanding of the causes of the present diversity in future climate projections.
AU  - Myhre,G
AU  - Forster,PM
AU  - Samset,BH
AU  - Hodnebrog,O
AU  - Sillmann,J
AU  - Aalbergsjo,SG
AU  - Andrews,T
AU  - Boucher,O
AU  - Faluvegi,G
AU  - Flaeschner,D
AU  - Iversen,T
AU  - Kasoar,M
AU  - Kharin,V
AU  - Kirkevag,A
AU  - Lamarque,J-F
AU  - Olivie,D
AU  - Richardson,TB
AU  - Shindell,D
AU  - Shine,KP
AU  - Stjern,CW
AU  - Takemura,T
AU  - Voulgarakis,A
AU  - Zwiers,F
DO  - 10.1175/BAMS-D-16-0019.1
EP  - 1198
PY  - 2017///
SN  - 0003-0007
SP  - 1185
TI  - PDRMIP A Precipitation Driver and Response Model Intercomparison Project-Protocol and Preliminary Results
T2  - Bulletin of the American Meteorological Society
UR  - http://dx.doi.org/10.1175/BAMS-D-16-0019.1
UR  - http://hdl.handle.net/10044/1/54927
VL  - 98
ER  -
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