Cloud optical depth retrievals from the Aerosol Robotic Network (AERONET) cloud mode observations
Autor: | Yuri Knyazikhin, David M. Giles, Chiung-Huei Huang, J. Christine Chiu, Brent N. Holben, Alexander Marshak, Ilya Slutsker, Warren Wiscombe |
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Rok vydání: | 2010 |
Předmět: |
Atmospheric Science
Meteorology media_common.quotation_subject Soil Science Cloud computing Aquatic Science Oceanography law.invention Geochemistry and Petrology law Earth and Planetary Sciences (miscellaneous) Radar Astrophysics::Galaxy Astrophysics Physics::Atmospheric and Oceanic Physics Optical depth Earth-Surface Processes Water Science and Technology Remote sensing media_common Ecology business.industry Cloud top Microwave radiometer Paleontology Forestry AERONET Geophysics Overcast Space and Planetary Science Sky Environmental science business |
Zdroj: | Journal of Geophysical Research. 115 |
ISSN: | 0148-0227 |
Popis: | [1] Cloud optical depth is one of the most poorly observed climate variables. The new “cloud mode” capability in the Aerosol Robotic Network (AERONET) will inexpensively yet dramatically increase cloud optical depth observations in both number and accuracy. Cloud mode optical depth retrievals from AERONET were evaluated at the Atmospheric Radiation Measurement program's Oklahoma site in sky conditions ranging from broken clouds to overcast. For overcast cases, the 1.5 min average AERONET cloud mode optical depths agreed to within 15% of those from a standard ground-based flux method. For broken cloud cases, AERONET retrievals also captured rapid variations detected by the microwave radiometer. For 3 year climatology derived from all nonprecipitating clouds, AERONET monthly mean cloud optical depths are generally larger than cloud radar retrievals because of the current cloud mode observation strategy that is biased toward measurements of optically thick clouds. This study has demonstrated a new way to enhance the existing AERONET infrastructure to observe cloud optical properties on a global scale. |
Databáze: | OpenAIRE |
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