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Author (up) Weissman, D. E., H. Winterbottom, and M. A. Bourassa
Title Studies of the influence of rainfall upon scatterometer estimates for sea surface stress: applications to boundary layer parameterization and drag coefficient models within tropical cyclone environments Type $loc['typeConference Article']
Year 2010 Publication 2010 IEEE International Geoscience and Remote Sensing Symposium Abbreviated Journal
Volume Issue Pages 4154-4157
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Funding OVWST Approved $loc['no']
Call Number COAPS @ mfield @ Serial 581
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Author (up) Weissman, D. E.; Bourassa, M. A.
Title The combined effect of surface rain and wind on scatterometer observations of surface roughness Type $loc['typeConference Article']
Year 2009 Publication 2009 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Cape Town, South Africa Abbreviated Journal
Volume Issue Pages I-108 - I-111
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Funding OVWST Approved $loc['no']
Call Number COAPS @ mfield @ Serial 674
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Author (up) Weissman, D. E.; Bourassa, M. A.
Title Measurements of the Effect of Rain-induced Sea Surface Roughness on the Satellite Scatterometer Radar Cross Section Type $loc['typeConference Article']
Year 2008 Publication XXIX General Assembly of the International Union of Radio Science, Union of Radio Science International Abbreviated Journal
Volume 4 Issue Pages
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 690
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Author (up) Weissman, D.E.; Bourassa, M.A.
Title The Influence of Rainfall on Scatterometer Backscatter Within Tropical Cyclone Environments-Implications on Parameterization of Sea-Surface Stress Type $loc['typeConference Article']
Year 2011 Publication IEEE Transactions on Geoscience and Remote Sensing Abbreviated Journal IEEE Trans. Geosci. Remote Sensing
Volume 49 Issue 12 Pages 4805-4814
Keywords Meteorological radar; radar cross section; radar remote sensing; scatterometry
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ISSN 0196-2892 ISBN Medium
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Funding NASA, OVWST Approved $loc['no']
Call Number COAPS @ mfield @ Serial 284
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Author (up) Weissman, D.E.; Bourassa, M.A.
Title Measurements of the Effect of Rain-Induced Sea Surface Roughness on the QuikSCAT Scatterometer Radar Cross Section Type $loc['typeJournal Article']
Year 2008 Publication IEEE Transactions on Geoscience and Remote Sensing Abbreviated Journal IEEE Trans. Geosci. Remote Sensing
Volume 46 Issue 10 Pages 2882-2894
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ISSN 0196-2892 ISBN Medium
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Funding NASA, OVWST, NASA HQ Approved $loc['no']
Call Number COAPS @ mfield @ Serial 681
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Author (up) Weissman, D.E.; Bourassa, M.A.; O'Brien, J.J.; Tongue, J.S.
Title Calibrating the quikscat/seawinds radar for measuring rainrate over the oceans Type $loc['typeJournal Article']
Year 2003 Publication IEEE Transactions on Geoscience and Remote Sensing Abbreviated Journal IEEE Trans. Geosci. Remote Sensing
Volume 41 Issue 12 Pages 2814-2820
Keywords Next Generation Weather Radar (NEXRAD); precipitation; radar reflectivity; scatterometer normalized radar cross section (NRCS); space-based radar; Tropical Rain Measuring Mission (TRMM)
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ISSN 0196-2892 ISBN Medium
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Funding NASA Approved $loc['no']
Call Number COAPS @ mfield @ Serial 468
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Author (up) Weissman, DE; Bourassa, MA
Title The effect of rain on ASCAT observations of the sea surface radar cross section using simultaneous 3-d NEXRAD rain measurements Type $loc['typeConference Article']
Year 2011 Publication IEEE International Symposium on Geoscience and Remote Sensing IGARSS Abbreviated Journal
Volume Issue Pages 1171-1174
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Area Expedition Conference IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 314
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Author (up) Weissman, DE; Morey, S; Bourassa, M
Title Studies of the effects of rain on the performance of the SMAP radiometer surface salinity estimates and applications to remote sensing of river plumes Type $loc['typeConference Article']
Year 2017 Publication IEEE International Symposium on Geoscience and Remote Sensing IGARSS Abbreviated Journal
Volume Issue Pages 1491-1494
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 834
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Author (up) Wu, Z.; Feng, J.; Qiao, F.; Tan, Z.-M.
Title Fast multidimensional ensemble empirical mode decomposition for the analysis of big spatio-temporal datasets Type $loc['typeJournal Article']
Year 2016 Publication Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences Abbreviated Journal Philos Trans A Math Phys Eng Sci
Volume 374 Issue 2065 Pages 20150197
Keywords adaptive and local data analysis; data compression; empirical orthogonal function; fast algorithm; multidimensional ensemble empirical mode decomposition; principal component analysis
Abstract In this big data era, it is more urgent than ever to solve two major issues: (i) fast data transmission methods that can facilitate access to data from non-local sources and (ii) fast and efficient data analysis methods that can reveal the key information from the available data for particular purposes. Although approaches in different fields to address these two questions may differ significantly, the common part must involve data compression techniques and a fast algorithm. This paper introduces the recently developed adaptive and spatio-temporally local analysis method, namely the fast multidimensional ensemble empirical mode decomposition (MEEMD), for the analysis of a large spatio-temporal dataset. The original MEEMD uses ensemble empirical mode decomposition to decompose time series at each spatial grid and then pieces together the temporal-spatial evolution of climate variability and change on naturally separated timescales, which is computationally expensive. By taking advantage of the high efficiency of the expression using principal component analysis/empirical orthogonal function analysis for spatio-temporally coherent data, we design a lossy compression method for climate data to facilitate its non-local transmission. We also explain the basic principles behind the fast MEEMD through decomposing principal components instead of original grid-wise time series to speed up computation of MEEMD. Using a typical climate dataset as an example, we demonstrate that our newly designed methods can (i) compress data with a compression rate of one to two orders; and (ii) speed-up the MEEMD algorithm by one to two orders.
Address School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu Province, People's Republic of China
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Language English Summary Language Original Title
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ISSN 1364-503X ISBN Medium
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Funding PMID:26953173; PMCID:PMC4792406 Approved $loc['no']
Call Number COAPS @ mfield @ Serial 57
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Author (up) Yin, J.; Schlesinger, M.E.; Stouffer, R.J.
Title Model projections of rapid sea-level rise on the northeast coast of the United States Type $loc['typeJournal Article']
Year 2009 Publication Nature Geoscience Abbreviated Journal Nature Geosci
Volume 2 Issue 4 Pages 262-266
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ISSN 1752-0894 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 394
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