Distributions of Tropical Precipitation Cluster Power and Their Changes Under Global Warming. Part I: observational baseline and comparison to a high-resolution atmospheric model

Distributions of Tropical Precipitation Cluster Power and Their Changes Under Global Warming.... AbstractThe total amount of precipitation integrated across a precipitation feature (contiguous precipitating grid cells exceeding a minimum rain rate) is a useful measure of the aggregate size of the disturbance, expressed as the rate of water mass lost or latent heat released, i.e. the power of the disturbance. The probability distribution of cluster power is examined over the Tropics using Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite-retrieved rain rates and global climate model output. Observed distributions are scale-free from the smallest clusters up to a cutoff scale at high cluster power, after which the probability drops rapidly. After establishing an observational baseline, precipitation from the High Resolution Atmospheric Model (HIRAM) at two horizontal grid spacings (roughly 0.5 and 0.25°) are compared. When low rain rates are excluded by choosing a minimum rain rate threshold in defining clusters, the model accurately reproduces observed cluster power statistics at both resolutions. Middle and end-of-century cluster power distributions are investigated in HIRAM in simulations with prescribed sea surface temperatures and greenhouse gas concentrations from a “business as usual” global warming scenario. The probability of high cluster power events increases strongly by end-of-century, exceeding a factor of 10 for the highest power events for which statistics can be computed. Clausius-Clapeyron scaling accounts for only a fraction of the increased probability of high cluster power events. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Climate American Meteorological Society

Distributions of Tropical Precipitation Cluster Power and Their Changes Under Global Warming. Part I: observational baseline and comparison to a high-resolution atmospheric model

Loading next page...
 
/lp/ams/distributions-of-tropical-precipitation-cluster-power-and-their-GFVuVggPEl
Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0442
D.O.I.
10.1175/JCLI-D-16-0683.1
Publisher site
See Article on Publisher Site

Abstract

AbstractThe total amount of precipitation integrated across a precipitation feature (contiguous precipitating grid cells exceeding a minimum rain rate) is a useful measure of the aggregate size of the disturbance, expressed as the rate of water mass lost or latent heat released, i.e. the power of the disturbance. The probability distribution of cluster power is examined over the Tropics using Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite-retrieved rain rates and global climate model output. Observed distributions are scale-free from the smallest clusters up to a cutoff scale at high cluster power, after which the probability drops rapidly. After establishing an observational baseline, precipitation from the High Resolution Atmospheric Model (HIRAM) at two horizontal grid spacings (roughly 0.5 and 0.25°) are compared. When low rain rates are excluded by choosing a minimum rain rate threshold in defining clusters, the model accurately reproduces observed cluster power statistics at both resolutions. Middle and end-of-century cluster power distributions are investigated in HIRAM in simulations with prescribed sea surface temperatures and greenhouse gas concentrations from a “business as usual” global warming scenario. The probability of high cluster power events increases strongly by end-of-century, exceeding a factor of 10 for the highest power events for which statistics can be computed. Clausius-Clapeyron scaling accounts for only a fraction of the increased probability of high cluster power events.

Journal

Journal of ClimateAmerican Meteorological Society

Published: Jun 20, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off