PPT-Calibration and Validation Studies for Aquarius Salinity Re
Author : lois-ondreau | Published Date : 2015-10-19
Shannon Brown and Sidharth Misra Jet Propulsion Laboratory California Institute of Technology 7th Aquarius SACD Science Meeting 1113 April 2012 Buenos Aires Argentina
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Calibration and Validation Studies for Aquarius Salinity Re: Transcript
Shannon Brown and Sidharth Misra Jet Propulsion Laboratory California Institute of Technology 7th Aquarius SACD Science Meeting 1113 April 2012 Buenos Aires Argentina Project Overview Developing methods to track Aquarius calibration over Antarctica and rainforest regions. R. Bindlish, T. Jackson, M. Cosh. November 2014. Overview. Soil moisture algorithm. Soil moisture product. Validation. Linkage between Soil Moisture and SSS. Aquarius Soil Moisture Algorithm. The baseline soil moisture algorithm uses the . of . MODIS Sea-Surface Temperatures . – an Essential Climate Variable. Peter J. . Minnett & Robert H. Evans . Meteorology and Physical Oceanography. Rosenstiel School of Marine and Atmospheric Science. of . Salinity. Kyla Drushka. 1. , . Sarah Gille. 2. , Janet Sprintall. 2. . kdrushka@apl.uw.edu. 1. Applied Physics Lab, Univ. of Washington . 2. Scripps Inst. of Oceanography. Aquarius Science Team Meeting. Alex Fore, Simon . Yueh. , . Wenqing. Tang, Akiko Hayashi. Drift in Scatterometer Calibration. A very small drift in the scatterometer calibration can be observed over the first few months.. Magnitude of drift is order 0.1 dB. Maximum as . Observed by . Aquarius. Frederick . Bingham (1. ), Julius Busecke, Arnold Gordon, Claudia Giulivi (2) and Zhijin Li (3). . (. 1) Center for Marine Science,. . University of North Carolina Wilmington, . Aquarius/SAC-D Sea Surface Salinity from Space Acknowledgments Aquarius Web site http://aquarius.nasa.gov/Special thanks to the Aquarius Science Team for making this publication possible. Content: Nic Update on SPURS-2 (‘Fresh SPURS’) and SPURS-1 synthesis. Update from Dr. Eric Lindstrom. SPURS main question: What . is controlling the upper ocean . salinity?. Will . be addressed with interagency and international collaboration using measurements from satellites, ships, drifters, floats, gliders, AUVs and modeling.. Debra A. Willey, Rana A. . Fine and Frank . J. Millero. Rosenstiel School, University of . Miami, . 4600 Rickenbacker Causeway, Miami, FL 33149 . USA. Introduction. The . unprecedented salinity coverage from the Aquarius satellite . radiometry. Peter Minnett. 1. , Gary Corlett. 2. & . ISSI Team. 1. Rosenstiel School of Marine and Atmospheric Science. University of Miami. 2. University of Leicester, Department of Physics and Astronomy. Algorithm. Frank . J. . Wentz and . Thomas . Meissner, . Remote Sensing Systems . Gary . S. . Lagerloef. , . Earth and Space Research. . David M. Le . Vine, . NASA Goddard. Presented at . 7. th. Aquarius/SAC-D Science Meeting. we compare measured . salinity across . metric distributions. . In . addition to traditional comparisons . between mean or median . values, the . 1%, 10%, 25%, 50%, 75%, 90% and 99% . quantiles of . the statistical . Seung-bum . Kim (JPL). Jae-hak . Lee (Korean Institute of Ocean Science and . Technology). Paolo de Matthaeis. . (GSFC). D. ata provision by I.C. Pang, Jeju Natl. Univ., S. Korea. Funded by OSST. Results available in JGR 2014 special issue.. E. Hackert, S. Akella, R. Kovach, K. Nakada, A. Borovikov, A. Molod, K. Drushka, and M. Jacob. Problem. : Satellite observes the top centimeter of the ocean. In rainy conditions, the vertical salinity gradient between SSS and first model layer (i.e., where these data are assimilated - S. Fournier S.. , Bingham F.M., Gonzalez-. Haro. C., Hayashi A., Carlin K.M.U., . Brodnitz. S.K., Gonzalez-. Gambau. V., and . Kuusela. M., 2023. Quantification of Aquarius, SMAP, SMOS and Argo-Based Gridded Sea Surface Salinity Product Sampling Errors. Remote Sensing. https://.
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