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<https://discovery.ucl.ac.uk/id/eprint/1322565> <http://purl.org/dc/terms/title> "Modelling the atmospheric controls and climate impact\r\nof mineral dust in the Sahara Desert"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/1322565> <http://purl.org/ontology/bibo/abstract> "Mineral dust aerosols play an important role in climate and the Earth's energy\r\nbudget. The effect of dust on the radiative forcing is uncertain due to the complexity of\r\nparticle properties and the complexity to quantify and discriminate preferential dust\r\nsources. This research considers the potential of two Regional Climate Models (RCM’s):\r\nThe Weather Research and Forecasting model (WRF-Chem) and the Regional Climate\r\nModel (RegCM3) both with an integrated dust module. Numerical sensitivity experiments\r\nare performed to quantify the ability of both models to simulate sources, the magnitude of\r\ndust emission, the transport in 3-dimensions and the subsequent impact on the radiative\r\nforcing. Particular emphasis is given to preferential source regions within the Sahara and\r\nSahel in North Africa including the Bodélé Depression in Northern Chad. To account for\r\nthe distribution of preferential dust source regions, soil texture characteristics were\r\nmodified in dust source regions in RegCM3. As for WRF-Chem GOCART scheme, a new\r\nhigher resolution erodible fraction map is tested. Moreover, the sensitivity of the results to\r\nthe specification of aerosol optical properties to evaluate the impacts of optical\r\ncharacteristics on the radiative forcing was considered for the RegCM3. Finally, model\r\noutputs are compared to in-situ data: weather stations (WMO) and AERONET and\r\nsatellite estimates: MODIS, MISR, OMI, CALIPSO and SEVIRI. Results show that both\r\nmodels represent the space/time structure of near-surface meteorology well. The tuning of\r\npreferential dust sources tested in this research provides a more realistic representation of\r\nlocal dust sources, emissions and resulting AOT. This suggest that in the absence of truly\r\naccurate soil maps at high resolution, further refinements to preferential sources map and\r\nits implementation in dust models can lead to useful improvements in simulation of dust\r\nprocesses and dust forecast accuracy."^^<http://www.w3.org/2001/XMLSchema#string> .
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