Data Filtering and Assimilation of Satellite Derived Aerosol Optical Depth
Satellite observations of the Earth often contain excessive noise
and extensive data voids.
Aerosol measurements, for instance,
are obscured and contaminated by clouds,
possible only on the sunlit side of the globe,
and difficult over bright land areas.
We propose to explore new filtering and data assimilation
techniques for satellite derived aerosol optical depth
based on the directional spherical wavelet transform.
Initially we will focus specifically on aerosol measurements
from the Moderate Resolution Imaging Spectroradiometer (MODIS)
instruments flying on the Terra and Aqua satellites.
In Phase I we will prototype a spherical wavelet filter and
assess its ability to smooth aerosol fields and interpolate
into data voids.
The smoothed fields will be tested against
surface network observations of aerosol optical depth.
Further, we will build an interface
to the Data Assimilation Research Testbed (DART)
coupled to the Community Atmosphere Model (CAM) 4.
Phase II will employ the wavelet filter and assimilation system
to produce aerosol datasets for application in Earth radiation
budget observations and atmospheric correction methods.
Small Business Information at Submission:
Leslie W Rosczyk
5621 Arapahoe Avenue, Suite A Boulder, CO 80303
Number of Employees: