Thesis (M.S.)--Ohio University, June, 1996. / Title from PDF t.p.

Thesis (Ph.D.)--Stony Brook University, 2007. / Includes bibliographical references (p. 92-97). Also available online.

Thesis (Ph.D.)--North Carolina State University, 2008. / Title from PDF title screen. "01 JUL 2008"--Report documentation page. NTIS no: ADA 486101 Includes bibliographical references (p. 175-181). Also available online.

Thesis (Ph.D. in Philosophy (Marine, Earth, and Atmospheric Sciences))--North Carolina State University, July 2008. / Title from reproduction cover. "July 2008." Thesis advisor(s): S. Pal Arya and Michael L. Kaplan. Performed by North Carolina State University; sponsored by the United States Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio. Includes vita. "A dissertation submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy, Marine, Earth, and Atmospheric Sciences from North Carolina State University. 2008."--P. [iv1]. "This research was funded by Air Force grant FA8718-04-C-0011."--p. ii. "Cl09-0007." Includes bibliographical references (p. 175-181). Also available online from the North Carolina State University Library and DTIC Online Web sites.

Thesis (M.S. in Meteorology)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): Qing Wang. Includes bibliographical references (p. 71-73). Also available online.

Thesis (M.S. in Meteorology)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): Philip Durkee. Includes bibliographical references (p. 79-83). Also available online.

No description available.

Approved for public release, distribution is unlimited / The objective of this thesis is to obtain a better understanding of cloud-top entrainment through an in-depth analysis of entrainment-zone structure. In situ aircraft measurements taken during the Atlantic Stratocumulus Transition Experiment (ASTEX) were used for this purpose. Using data collected from multiple cloud-top penetrations, the presence of an interfacial layer in-between the top of the cloud mixed-layer and the base of the free atmosphere is identified and consequently defined as the entrainment zone. The depth of the entrainment zone is on the order of tens of meters, where turbulence and sometimes cloud droplets are detectable. Inhomogeneous mixing was found to occur within the entrainment zone. Parcels of inversion-layer air and boundary-layer air are identified within the entrainment zone. Analyses suggest that turbulence intensity and cloud amount in the entrainment zone vary depending on the distribution of entrainment mixing fraction. Furthermore, continuous mixing in the entrainment zone appears to dissipate the upper-cloud layer. However, continuous dissipation of the upper-cloud layer has not been observed. Further study is needed to determine the interaction between cloud-top entrainment and the full integration of boundary-layer dynamics. / Captain, United States Air Force

Approved for public release, distribution is unlimited / In this thesis, a fuzzy logic algorithm is developed for the detection of potential aircraft icing conditions using the Moderate-Resolution Imaging Spectroradiometer (MODIS). The fuzzy MODIS algorithm is developed in a manner similar to the cloud mask currently used to process MODIS imagery. The MODIS icing potential detection algorithm uses thresholds for 8 channels in a series of 12 tests to determine the probability of icing conditions being present within a cloud. The MODIS algorithm results were compared to results of the GOES icing potential detection algorithm run on MODIS imagery for 4 cases. When compared to positive and icing pilot reports for the cases, the MODIS algorithm identified regions where icing was encountered more effectively than the GOES algorithm. Furthermore, the use of fuzzy thresholds on MODIS rather than the hard thresholds of the GOES algorithm allowed for less restrictive coverage of potential icing conditions, making the MODIS algorithm more reasonable in assessing all cloud regions for icing potential. The results found here are preliminary, as further statistical analysis with a larger validation dataset would be more effective. Algorithm details are provided in the appendix for reference. / Captain, United States Air Force