Journal article
Simulations of Infrared Radiances over a Deep Convective Cloud System Observed during TC4: Potential for Enhancing Nocturnal Ice Cloud Retrievals
Remote sensing (Basel, Switzerland), Vol.4(10), pp.3022-3054
10/01/2012
DOI: 10.3390/rs4103022
Abstract
Retrievals of ice cloud properties using infrared measurements at 3.7, 6.7, 7.3, 8.5, 10.8, and 12.0 mu m can provide consistent results regardless of solar illumination, but are limited to cloud optical thicknesses tau < similar to 6. This paper investigates the variations in radiances at these wavelengths over a deep convective cloud system for their potential to extend retrievals of tau and ice particle size D-e to optically thick clouds. Measurements from an imager, an interferometer, the Cloud Physics Lidar (CPL), and the Cloud Radar System (CRS) aboard the NASA ER-2 aircraft during the NASA TC4 (Tropical Composition, Cloud and Climate Coupling) experiment flight during 5 August 2007, are used to examine the retrieval potential of infrared radiances over optically thick ice clouds. Simulations based on coincident in situ measurements and combined cloud tau from CRS and CPL measurements are comparable to the observations. They reveal that brightness temperatures at these bands and their differences (BTD) are sensitive to tau up to similar to 20 and that for ice clouds having tau > 20, the 3.7-10.8 mu m and 3.7-6.7 mu m BTDs are the most sensitive to D-e. Satellite imagery appears to be consistent with these results suggesting that t and D-e could be retrieved for greater optical thicknesses than previously assumed. But, because of sensitivity of the BTDs to uncertainties in the atmospheric profiles of temperature, humidity, and ice water content, and sensor noise, exploiting the small BTD signals in retrieval algorithms will be very challenging.
Details
- Title: Subtitle
- Simulations of Infrared Radiances over a Deep Convective Cloud System Observed during TC4: Potential for Enhancing Nocturnal Ice Cloud Retrievals
- Creators
- Patrick Minnis - Langley Research CenterGang Hong - Science Systems and Applications (United States)J. Kirk Ayers - Science Systems and Applications (United States)William L. Smith - Langley Research CenterChristopher R. Yost - Science Systems and Applications (United States)Andrew J. Heymsfield - NSF National Center for Atmospheric ResearchGerald M. Heymsfield - Goddard Space Flight CenterDennis L. Hlavka - Science Systems and Applications (United States)Michael D. King - Colorado, University Boulder, CO, United StatesErrol Korn - NSF National Center for Atmospheric ResearchMatthew J. McGill - Goddard Space Flight CenterHenry B. Selkirk - Universities Space Research AssociationAnne M. Thompson - Pennsylvania State UniversityLin Tian - Morgan State UniversityPing Yang - Texas A&M University
- Resource Type
- Journal article
- Publication Details
- Remote sensing (Basel, Switzerland), Vol.4(10), pp.3022-3054
- DOI
- 10.3390/rs4103022
- ISSN
- 2072-4292
- eISSN
- 2072-4292
- Publisher
- Mdpi
- Number of pages
- 33
- Grant note
- NASA Modeling, Analysis, and Prediction Program; National Aeronautics & Space Administration (NASA) TC4 NASA CERES NOAA GOES-R Program; National Oceanic Atmospheric Admin (NOAA) - USA
- Language
- English
- Date published
- 10/01/2012
- Academic Unit
- Physics and Astronomy; Chemical and Biochemical Engineering
- Record Identifier
- 9984277262602771
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