Aerosol Optical Depth Retrievals from High-resolution Commericial Satellite Imagery over Areas of High Surface Reflectance
نویسندگان
چکیده
Atmospheric aerosol particles impact the Earth’s energy budget through reflection and absorption of solar radiation (the aerosol direct effect) and modification of cloud properties (the aerosol indirect effect). The scattering of incoming solar radiation back to space results in a net decrease in heating at the Earth’s surface. The absorption of solar energy alters the atmospheric heating rate, which influences atmospheric circulation. The indirect effect works to increase cloud albedo at solar wavelengths by providing additional cloud condensation nuclei that often produce more and smaller drops that subsequently result in brighter clouds. Again, this reduces heating of the atmosphere and at the Earth’s surface. When compared to the global heating caused by anthropogenic greenhouse gases, cooling due to aerosols has the potential to offset greenhouse gas warming by approximately 25 to 50% (IPCC 2001, Twomey et al. 1984, Charlson et al. 1992, Kiehl and Briegleb 1993). The effects of aerosol particles, however, are much harder to characterize and quantify than those of greenhouse gases. Greenhouse gases have a relatively homogeneous distribution globally and a lifetime of up to 100 years or more (IPCC 2001, Prather 1996, Smith and Wigley 2000). Aerosol particles have heterogeneous spatial and temporal distributions with life spans on the order of days to weeks (IPCC 2001). Recent research efforts, especially in the fields of remote sensing and modeling, have focused on characterizing the climatic effects of sources and distributions of natural and anthropogenic aerosols. Much effort has been focused on aerosol characterization using satellite observations due to the extensive area covered by satellites combined
منابع مشابه
Improved algorithm for MODIS satellite retrievals of aerosol optical depths over western North America
[1] Quantitative evaluation of chemical transport models (CTMs) with aerosol optical depth (AOD) products retrieved from satellite backscattered reflectances can be compromised by inconsistent assumptions of aerosol optical properties and errors in surface reflectance estimates. We present an improved AOD retrieval algorithm for the MODIS satellite instrument using locally derived surface refle...
متن کاملCorrections for Atmospheric and Adjacency Effects on High Resolution Sensor Data -a Case Study Using Irs-p6 Liss-iv Data
Path radiance due to aerosols plays an important role over satellite derived reflectance due to higher aerosol optical depth and their seasonal variations. In addition, satellite data from high-resolution sensors are subjected to adjacency effect, which reduces apparent surface contrast by decreasing the top of the atmosphere radiance over bright pixels and increasing the brightness of the dark...
متن کاملA Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land
Cloud and Aerosol Imager (CAI) onboard the Greenhouse Gases Observing Satellite (GOSAT) is a multi-band sensor designed to observe and acquire information on clouds and aerosols. In order to retrieve aerosol optical depth (AOD) over land from the CAI sensor, a Dark Target (DT) algorithm for GOSAT CAI was developed based on the strategy of the Moderate Resolution Imaging Spectroradiometer (MODIS...
متن کاملSecond-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
[1] Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from Moderate Resolution Imaging Spectroradiometer (MODIS) observed spectral reflectance. These products have been continuously evaluated and validated, and opportunities for improvements have been noted. We have replaced the surface reflectance assumptions, the set of ...
متن کاملImpact of Aerosol Model Selection on Water-Leaving Radiance Retrievals from Satellite Ocean Color Imagery
We examine the impact of atmospheric correction, specifically aerosol model selection, on retrieval of bio-optical properties from satellite ocean color imagery. Uncertainties in retrievals of bio-optical properties (such as chlorophyll, absorption, and backscattering coefficients) from satellite ocean color imagery are related to a variety of factors, including errors associated with sensor ca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005