N. Yu , C. Barthe , and M. Plu
A test of sensitivity to the model grid spacing for extreme rainfall simulation is carried out for the tropical island of La Réunion, which holds several world records of precipitation. An extreme rain event occurring during the moist season in 2011 is selected to study the numerical model behavior at four horizontal resolutions: 4 km, 2 km, 1 km and 500 m. The assessment based on raingauge network shows that the performance of daily rain simulation increases as reducing the model grid spacing from 4 km to 1 km. The spatial variability of 24 h rainfall is well captured by the simulation at 1 km and 500 m resolution. However, refining the resolution from 1 km to 500 m has little impact on the model performance compared to the 1 km run. Diagnosis analysis and numerical experiment reveal that only the 1 km and 500 m grid spacings are able to simulate a cold pool located near the coastal area of the island. This cold pool triggers the thermal lifting and creates convergence between the prevailing moist flow and offshore land breeze. The observed precipitation, air temperature and wind get good agreements with these simulated features. However, this cold pool is missed in the 4 km and 2 km simulations. Our study highlights the important role of air mixing with microphysical processes at 1 km scale in simulating such intense precipitations.
Received: 10 Oct 2013 – Discussion started: 03 Feb 2014
Publisher's note : Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
N. Yu , C. Barthe , and M. Plu
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Status: closed
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AC : Author comment | RC : Referee comment | SC : Short comment | EC : Editor comment
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N. Yu , C. Barthe , and M. Plu
N. Yu , C. Barthe , and M. Plu
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