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Altostratus Inc. is a California certified small-business corporation providing consulting services in multi-scale atmospheric modeling and research. See below for 1) Research Services and 2) Forecasting Services. Also see, for example, the list of projects for some of the more recent contracts completed or underway.

Altostratus Inc. searchable information: Central Contractor Registry (CCR) / System for Award Management (SAM), Duns & Bradstreet (DUNS), Small Business Administration (SBA), California Secretary of State, Department of General Services (DGS),, and CAGE (Commercial and Government Entity) databases. NAICS: 541620, 541690, 541712, and 541511. For further information, contact us at

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Model & Data Links
Data & Reports




1) Research Services:


Regional, mesoscale, sub-mesoscale, and fine-resolution meteorological modeling (customized WRF, WRF-Urban, MM5, u-MM5)


Mesoscale and sub-mesoscale emissions and photochemical air-quality modeling and analysis (SMOKE, BEIS, CAMx, CMAQ)


Fine-resolution, sub-kilometer urban meteorological modeling (customized u-MM5, WRF-Urban models)


Coupled regional and global-climate models; dynamical downscaling of global models for local-impact assessments and forecasts (GFS, CCSM4)


Fine-resolution photochemical modeling for urban air-quality analysis (CAMx, CMAQ) and dispersion modeling


Development and update of prognostic models and tools for use in urban / environmental planning, sustainable development, urban heat-island studies, and evaluation of control measures under present-day conditions, future-year emissions, and climate-change scenarios




2) Forecasting Services:

Site-specific, tailored high-resolution weather forecasts

Highly site-specific, fine-resolution (sub-kilometer) short- and long-term weather / micrometeorological forecasts that are tailored specifically to the needs of the client's industry and application, e.g., tourism, farming, agriculture, wineries, health, water usage, emissions, transport, and energy. Prior to providing the actual forecasts, the meteorological models are configured and customized for the specifics of each site, including fine-scale characterizations of land cover, morphology/topography, surface and soil properties, surrounding areas (especially upwind), local sources of heat, and geometrical features and obstacles. These characterizations are based on site visits, remote-sensing, and aerial imagery among other sources of information. After the model is configured, it is tested for performance. Several model physics and parameterizations are also customized and tested specifically for the site and observational data are ingested and assimilated in real time. After an initial period of model calibration and optimization, the forecasts are then produced daily for any duration or scale desired by the client. Forecasts are delivered daily to client and also made accessible via mobile applications.

Site-specific weather for building energy modeling and analysis

Generation of fine-resolution, site-specific weather data for input to building energy analysis tools and models such as the DOE-2 and EnergyPlus family of models and others. This approach is a significant improvement upon the traditional use of coarse-scale climate zoning or statistical weather in building energy analysis, e.g., based on data representing large geographical regions or climate data that are not representative of the conditions at the site, such as use of airport data or coarse-scale reanalysis. The model also ingests observational meteorological data from weather stations in the region of interest. Using model-generated site-specific weather (for any desired time period and span) can significantly improve the accuracy of quantifying building and site energy use throughout the design and operation phases. The weather data is generated and formatted for direct input to building energy simulation models.

Urban meteorological, emissions, and air-quality forecasting

In addition to research- and regulatory-grade meteorological, emissions, and air-quality modeling capabilities, as discussed elsewhere on this website, extended capabilities are developed for fine-scale urban meteorological and air-quality forecasting (at sub-kilometer resolutions). Building upon updated urban canopy-layer parameterizations, the models can provide forecasts for several days out (which are evaluated on an on-going basis). In relation to this effort, the parameters input to the models are also modified to provide more area-specific information for use in forecasting.

Urban dispersion / Site-specific weather for regulatory dispersion modeling (under development)

To improve the accuracy and spatio-temporal resolution of characterizing source emissions, transport, and fate of air contaminants in urban areas, Gaussian plume dispersion models are linked with fully dynamical micro- and meso-scale meteorological models to provide real-time local drivers to dispersion calculations. These capabilities can also be used to generate site-specific, fine-resolution meteorological input to regulatory-type dispersion modeling of new or modified sources to demonstrate compliance, e.g, with EPA-recommended models like AERMOD.