Blocking-related extreme weather events in the LMDZ4 atmospheric model: Sensitivity to model resolution
Jessica Vial, Tim J. Osborn and Laurent Li

In the mid-latitudes, extreme weather events are often caused by persistent and quasi-stationary weather regimes, such as blocking. As a result, a realistic representation of this phenomenon in climate models is essential in order to provide credible projections of climate change scenarios. This study examines the ability of the AGCM LMDZ4 (IPSL,France) to simulate winter atmospheric blocking and its relationship with temperature and precipitation extremes in the Europe.

A daily gridded dataset for southern North America
J.L. Vazquez-Aguirre

Data grids derived from irregularly spaced observations are often required in climate analyses. Some uses of gridded data are the calculation of area-averaged indices, application of multivariate techniques, objective analysis, model verification and integrated assessments. At present, most gridded datasets are available at the monthly time-scale (high spatial resolution) or for relatively low spatial resolutions (daily time-scale reanalysis). Therefore a new daily gridded high-resolution data set of precipitation and surface temperature is being created for the area of Mexico and the southern conterminous United States of America.