The steps involved in establishing and implementing a quality control procedure for AIRS radiance data prior to its use in a mesoscale model are discussed. The Limited Cloud-Clearing Data Removal (LCCDR) Algorithm utilizes AIRS channel maximum weighting function (WF) height, vertical structure of WF, and cloud height at each pixel to remove cloud-contaminated data points. Biweight statistics, which include a weighted average and weighted standard deviation, are implemented to remove remaining data with large model deviations from observations. Two test cases are examined: a non-precipitation case and a case involving Hurricane Charley. The LCCDR algorithm effectively removes outliers due to cloud-contamination, producing a reduction in the mean difference between simulated and observed brightness temperatures. Biweight statistics further exclude points where simulated values disagree with AIRS data. For both cases, large discrepancies are found between AIRS observations and simulated surface brightness temperatures in terms of the range of brightness temperature change and intensity. Overall, AIRS radiances compared more favorably with simulated data shown by the reduction in root mean square error values after quality control and the increase in correlation coefficient values. Future work includes improving model ability to predict dry versus moist air boundaries and cyclone intensity through assimilation of AIRS radiance observations. / A Thesis Submitted to the Department of Meteorology in Partial Fulfillment of the Requirements for the Degree of Master of Science. / Spring Semester, 2006. / April 4, 2006. / Data Assimilation, Biweight / Includes bibliographical references. / Xiaolei Zou, Professor Directing Thesis; Robert Ellingson, Committee Member; Ming Cai, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_180665 |
| Contributors | O‘Connor, Janna E. (authoraut), Zou, Xiaolei (professor directing thesis), Ellingson, Robert (committee member), Cai, Ming (committee member), Department of Earth, Ocean and Atmospheric Sciences (degree granting department), Florida State University (degree granting institution) |
| Publisher | Florida State University, Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text |
| Format | 1 online resource, computer, application/pdf |
| Rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them. |
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