Community Databases

Accurate and credible environmental modeling and assessment depend on the availability of high quality, spatially and temporally resolved environmental data sets. These data are used as inputs for remote sensing simulation models, to validate environmental parameter retrieval models, to initialize and validate numerical forecast models, to develop model physical parameterizations, and significantly to provide environmental information to customers. AER collects real-time satellite data, analyzes global data sets, and generates data from internal numerical models. Long-standing collaborative relationships with major national and international environmental data centers ensure the most accurate data and inputs for our value-added services for our customers.

Special Bureau for the Atmosphere

Community Models

AER scientists have developed and use daily a powerful ensemble of computer models, which employ our knowledge of high resolution gas absorption across the spectrum (line-by-line radiative transfer model, LBLRTM), to drive models which are tailored to simulate the response of any known passive remote sensing system, as well as the broadband response of the Earth atmosphere system to solar and thermal forcing for application in numerical weather prediction and climate models.

AER's Radiative Transfer Models and Databases

Proprietary Models

The United States Patent and Trademark Office issued US Patent Number 6,584,405 to Atmospheric and Environmental Research, Inc. (AER) of Lexington, MA for its next generation Optimal Spectral Sampling (OSS) data simulation technology. OSS efficiently and accurately computes the hyperspectral radiances measured by Earth orbiting satellites. The OSS method is not only well suited for remote sensing applications, but also for the assimilation of satellite observations in numerical weather prediction models. Both applications require extremely fast and accurate models.

To learn more about these services