Kiran Alapaty

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[1] The performance of the Multiscale Air Quality Simulation Platform (MAQSIP) in simulating the regional distributions of tropospheric ozone and particulate matter (PM) is evaluated through comparisons of model results from three-dimensional simulations against available surface and aircraft measurements. These applications indicate that the model captures(More)
Aerosols can influence the climate indirectly by acting as cloud condensation nuclei and/or ice nuclei, thereby modifying cloud optical properties. In contrast to the widespread global warming, the central and south central United States display a noteworthy overall cooling trend during the 20(th) century, with an especially striking cooling trend in(More)
The uncertainty in the specification of surface characteristics in soil-vegetationatmosphere-transfer (SVAT) schemes within planetary boundary-layer (PBL) or mesoscale models is addressed. The hypothesis to be tested is whether the errors in the specification of the individual parameters are accumulative or whether they tend to balance each other in the(More)
Our multiscale air quality modeling activities are reviewed. Two different techniques, static grid nesting and dynamic grid adaptions are discussed. The mass conservation and transportive properties of our grid nesting technique are shown in a linear advection problem. Results from an air quality application to the northeastern U.S. are also presented. The(More)
BACKGROUND, AIM, AND SCOPE Improving the parameterization of processes in the atmospheric boundary layer (ABL) and surface layer, in air quality and chemical transport models. To do so, an asymmetrical, convective, non-local scheme, with varying upward mixing rates is combined with the non-local, turbulent, kinetic energy scheme for vertical diffusion(More)
Consistent treatment of atmospheric boundary layer (ABL) processes in meteorological and air quality simulation models is highly desirable. Using one ABL scheme in a meteorological model and a different scheme in an air quality simulation model can lead to undesirable plume structures in the air quality model. In many of the first-order local-closure(More)
Large errors in atmospheric boundary layer (ABL) simulations can be caused by inaccuracies in the inputs, assumptions in and simplifications of physical formulations, and other modeling deficiencies. For certain applications, such as air quality studies, these errors can have significant effects. To alleviate such modeling errors, surface observations can(More)