Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind Observations
Scatterometer observations of vector winds are used to examine the amplitudes of synoptic and diurnal cycles. Scatterometers have the advantage of providing global coverage over water; however, irregular temporal sampling complicates the analyses. A least squares technique is used in determination o...
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ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_1756622020-06-05T03:07:26Z Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind Observations Lombardi, Khara C. (authoraut) Bourassa, Mark (professor directing thesis) O’Brien, James (committee member) Ahlquist, Jon (committee member) Clayson, Carol Anne (committee member) Department of Earth, Ocean and Atmospheric Sciences (degree granting department) Florida State University (degree granting institution) Text text Florida State University Florida State University English eng 1 online resource computer application/pdf Scatterometer observations of vector winds are used to examine the amplitudes of synoptic and diurnal cycles. Scatterometers have the advantage of providing global coverage over water; however, irregular temporal sampling complicates the analyses. A least squares technique is used in determination of the amplitudes and phases of the diurnal and synoptic cycles on spatial scales of 5°, 15°, and 30°. In open ocean areas and regions with sufficient open water, the magnitudes of the diurnal and synoptic cycles are 1.0 ms-1 and 3.5ms-1, respectively. Diurnal amplitudes are highest in the polar regions and close to land surfaces due to sea breeze effects. The fraction of variance explained by the diurnal cycle is greatest near the equator. Synoptic amplitudes are consistently larger downwind of land from storm tracks and in the southern polar region as the time analyzed is during the southern winter season. A Thesis Submitted to the Department of Meteorology in Partial Fulfillment of the Requirements for the Degree of Master of Science. Fall Semester, 2004. July 20, 2004. Rotary Spectra, Least Squares Regression, QSCAT, Midori2, Oceanic Winds Includes bibliographical references. Mark Bourassa, Professor Directing Thesis; James O’Brien, Committee Member; Jon Ahlquist, Committee Member; Carol Anne Clayson, Committee Member. Meteorology FSU_migr_etd-1091 http://purl.flvc.org/fsu/fd/FSU_migr_etd-1091 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. http://diginole.lib.fsu.edu/islandora/object/fsu%3A175662/datastream/TN/view/Resolving%20the%20Diurnal%20and%20Synoptic%20Variance%20of%20Scatterometer%20Vector%20Wind%20%20%20%20%20%20%20%20%20%20Observations.jpg |
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Meteorology Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind Observations |
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Scatterometer observations of vector winds are used to examine the amplitudes of synoptic and diurnal cycles. Scatterometers have the advantage of providing global coverage over water; however, irregular temporal sampling complicates the analyses. A least squares technique is used in determination of the amplitudes and phases of the diurnal and synoptic cycles on spatial scales of 5°, 15°, and 30°. In open ocean areas and regions with sufficient open water, the magnitudes of the diurnal and synoptic cycles are 1.0 ms-1 and 3.5ms-1, respectively. Diurnal amplitudes are highest in the polar regions and close to land surfaces due to sea breeze effects. The fraction of variance explained by the diurnal cycle is greatest near the equator. Synoptic amplitudes are consistently larger downwind of land from storm tracks and in the southern polar region as the time analyzed is during the southern winter season. === A Thesis Submitted to the Department of Meteorology in Partial Fulfillment of the
Requirements for the Degree of Master of Science. === Fall Semester, 2004. === July 20, 2004. === Rotary Spectra, Least Squares Regression, QSCAT, Midori2, Oceanic Winds === Includes bibliographical references. === Mark Bourassa, Professor Directing Thesis; James O’Brien, Committee Member; Jon Ahlquist, Committee Member; Carol Anne Clayson, Committee Member. |
author2 |
Lombardi, Khara C. (authoraut) |
author_facet |
Lombardi, Khara C. (authoraut) |
title |
Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind
Observations |
title_short |
Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind
Observations |
title_full |
Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind
Observations |
title_fullStr |
Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind
Observations |
title_full_unstemmed |
Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind
Observations |
title_sort |
resolving the diurnal and synoptic variance of scatterometer vector wind
observations |
publisher |
Florida State University |
url |
http://purl.flvc.org/fsu/fd/FSU_migr_etd-1091 |
_version_ |
1719317685937897472 |