Assessing a Cloud Optical Depth Retrieval Algorithm with Model-Generated Data and the Frozen Turbule...
Assessing a Cloud Optical Depth Retrieval Algorithm with Model-Generated Data and the Frozen Turbulence Assumption
About this item
Full title
Author / Creator
Publisher
Boston, MA: American Meteorological Society
Journal title
Language
English
Formats
Publication information
Publisher
Boston, MA: American Meteorological Society
Subjects
More information
Scope and Contents
Contents
A cloud optical depth retrieval algorithm that utilizes time series of solar irradiance and zenith downwelling radiance data collected at a fixed surface site is assessed using model-generated cloud fields and simulated radiation measurements. To date, the retrieval algorithm has only been assessed using instantaneous cloud fields in which time ser...
Alternative Titles
Full title
Assessing a Cloud Optical Depth Retrieval Algorithm with Model-Generated Data and the Frozen Turbulence Assumption
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_29059617
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_29059617
Other Identifiers
ISSN
0022-4928
E-ISSN
1520-0469
DOI
10.1175/JAS-3310.1
