ALTOSTRATUS
Atmospheric Modeling & Research

Research

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Meteorology, climate, emissions, atmospheric chemistry, and air-quality represent the general defining areas for research and modeling work at Altostratus. While scales of interest range from the global to the local, the focus of modeling work at Altostratus is on the meso and meso-urban (sub-meso) scales. Meteorological, emissions, dispersion, and photochemical modeling is performed with state-of-science models such as MM5, WRF, CAMx, CMAQ, and UAM-V, updated anthropogenic and biogenic emission models and EMS-95/SMOKE, and Altostratus's URMICLEM and Bee-Eye (BI) models, as well as new fine-resolution meso-urban meteorological models such as the uMM5 (Altostratus's modified version of the EPA UCP MM5). These tools and models are constantly updated, improved, and adapted to project-specific needs and applications. In addition, a new generation of models and modeling techniques are currently being developed and tested, including "urbanized", fine-resolution models.

Computing at Altostratus is performed on fast Linux-based 64-bit machines with several configurations (single and multi-processor platforms).

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Following are examples of past projects and studies. For project- or model-specific information, or for questions on ongoing work and clients, see the contact page. For current and recent projects, see the current projects page.

 
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Urbanization of meteorological models; development and implementation of new urban canopy parameterization (UCP) schemes
 

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Improving canopy-layer parameterizations and representations in updated versions of the urbanized MM5 and WRF models
 

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Regional meteorological and photochemical modeling of heat islands and evaluation of potential impacts of related control strategies
 

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Modeling and evaluation of the local- and urban-scale meteorological and energy impacts of potential climate-change scenarios in the U.S.
 

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Meteorological modeling of heat-wave events in support of health impact analysis and evaluation of potential mitigating measures
 

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Meteorological and photochemical modeling and analysis of transport vs. local production of ozone
 

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Development of meteorological and environmental modeling tools for improved energy-demand calculations
 

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Dynamical downscaling of global climate models output for use in regional, fine-resolution meteorological, emissions, and photochemical  modeling
 

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Modeling and analysis of the potential regional air-quality impacts of climate change in the U.S.
 

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Development of site- and region-specific weather derivatives for energy-demand modeling
 

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Analysis of the potential impacts of land-use and land-cover changes on meteorology, climate, emissions, and air quality
 

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Modeling the potential impacts of urban and large-scale re-forestation on tropospheric and ground-level ozone formation
 

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Development of updated, high-resolution regional and national heating and cooling degree-day data bases
 

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Standardization of heat-island characterization, measurement, and reporting