Can climate models represent the precipitation associated with extratropical cyclones?
Article
Article Title | Can climate models represent the precipitation associated with extratropical cyclones? |
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ERA Journal ID | 1962 |
Article Category | Article |
Authors | Hawcroft, Matthew K. (Author), Shaffrey, Len C. (Author), Hodges, Kevin I. (Author) and Dacre, Helen F. (Author) |
Journal Title | Climate Dynamics |
Journal Citation | 47 (3), pp. 679-695 |
Number of Pages | 17 |
Year | 2016 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 0930-7575 |
1432-0894 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00382-015-2863-z |
Web Address (URL) | https://link.springer.com/article/10.1007%2Fs00382-015-2863-z |
Abstract | Extratropical cyclones produce the majority of precipitation in many regions of the extratropics. This study evaluates the ability of a climate model, HiGEM, to reproduce the precipitation associated with extratropical cyclones. The model is evaluated using the ERA-Interim reanalysis and GPCP dataset. The analysis employs a cyclone centred compositing technique, evaluates composites across a range of geographical areas and cyclone intensities and also investigates the ability of the model to reproduce the climatological distribution of cyclone associated precipitation across the Northern Hemisphere. Using this phenomena centred approach provides an ability to identify the processes which are responsible for climatological biases in the model. Composite precipitation intensities are found to be comparable when all cyclones across the Northern Hemisphere are included. When the cyclones are filtered by region or intensity, differences are found, in particular, HiGEM produces too much precipitation in its most intense cyclones relative to ERA-Interim and GPCP. Biases in the climatological distribution of cyclone associated precipitation are also found, with biases around the storm track regions associated with both the number of cyclones in HiGEM and also their average precipitation intensity. These results have implications for the reliability of future projections of extratropical precipitation from the model |
Keywords | precipitation, extratropical cyclones, climate models, HiGEM, reanalysis, remote sensing data |
ANZSRC Field of Research 2020 | 419999. Other environmental sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Reading, United Kingdom |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q51yq/can-climate-models-represent-the-precipitation-associated-with-extratropical-cyclones
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