Dust observations for (DO4) Models: a new method for improving climate models
Numerical models need to include mineral aerosols in order to avoid large radiative and associated dynamical errors as these are the only tools we have to predict future weather and climate. The simulation of the dust cycle depends on a wide range of earth system components but begins with the realistic representation of source areas. At a global scale, attention to source areas has improved modelling, with most of the improvements through the simple, large-scale, and highly parameterized source area representation. Notable is the absence of any real source area observations at model resolution in any previous studies. This presentation will outline methodology from the Dust Observation for (DO4) Models project, which through the novel approach of using a regional model as a test-bed for global high resolution models aims to undo the enduring problem of lack of suitable dust source area data. It will discuss the results from the measurements made on a 12 km by 12 km source area within the Makgadikgadi Pans, Botswana to be ultimately characterized as one grid cell within the UK MetOffice HadGEM3 model. The presentation aims to address the gap in agreement between detailed source area measurements and the initial 1-D transport models, by demonstrating that model improvements will come through the addition of a simple soil model that describes surface soil crusts, potential moisture availability and roughness development.
- Friday February 21, 2014 04:00 PM
- Friday February 21, 2014 05:00 PM
- Student Building 150
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