AbstractThe organisation of deep convection and its misrepresentation in many global models is the focus of much current interest. We present a new method for quantifying convective organisation based on the identification of convective objects and subsequent derivation of object numbers, areas and separation distances to describe the degree of convective organisation. These parameters are combined into a ‘convection organisation potential’ based on the physical principle of an interaction potential between pairs of convective objects. We apply this technique to simulated and observed fields of outgoing longwave radiation (OLR) over the West African monsoon region using data from Met Office Unified Model simulations and satellite observations made by the Geostationary Earth Radiation Budget instrument (GERB). We evaluate our method by using it to quantify differences between models with different horizontal grid lengths and representations of convection. Distributions of OLR, precipitation and organisation parameters, the diurnal cycle of convection, and relationships between the meteorology in different states of organisation are compared. Switching from a configuration with parameterised convection to one which allows the model to resolve convective processes at the model gridscale is the leading order factor improving some aspects of model performance, while increased model resolution is the dominant factor for others. However, no single model configuration performs best compared to observations, indicating underlying deficiencies in both model scaling and process understanding.
Journal of the Atmospheric Sciences – American Meteorological Society
Published: Oct 12, 2017
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
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
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.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera