PPT-MODIS Sea-surface temperatures

Author : karlyn-bohler | Published Date : 2018-12-15

Peter Minnett amp BOB Evans Rosenstiel School University of Miami pminnettrsmasmiamiedu MODIS Science Team Meeting April 2014 Summary MODIS SSTs are stable and of

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MODIS Sea-surface temperatures: Transcript


Peter Minnett amp BOB Evans Rosenstiel School University of Miami pminnettrsmasmiamiedu MODIS Science Team Meeting April 2014 Summary MODIS SSTs are stable and of good accuracy N ew . Peter J Minnett, Robert H Evans and . Gui. Podestá. Meteorology and Physical Oceanography. Rosenstiel School of Marine and Atmospheric Science. University of Miami. Overview. Sea-surface temperature (SST) as an Essential Climate Variable (ECV), and Climate Data Record (CDR). John N. McHenry,. Jeff . Vukovich. , Don . Olerud. , and W.T. Smith. Baron Advanced Meteorological Systems. Review of the MODIS-DA Modeling Component. Review of Preliminary Real-Time Testing Results. Haixia. Huang, Bo . Zhong. , . Qinhuo. Liu, and Lin Sun. Presented by Bo . Zhong. bzhong1@gmail.com. Institute of Remote Sensing Applications, Chinese Academy of Sciences . IGRSS 2011, Vancouver , . Jacob Anderson. Mentor: Gregory . Leptoukh. Research Objectives. Based on previous research determine the variables that most affect MODIS bias. Find which MODIS aerosol algorithm works better over coastal regions. The use of low temperatures to preserve foods is based on the fact that the activities of microorganisms can be slowed at temperatures above freezing and generally stopped at subfreezing temperatures..  VIIRS AOD. Robert Levy. . (NASA-GSFC). Shana . Mattoo. , Leigh . Munchak. . (SSAI @ NASA-GSFC). Falguni. . Patadia. (GESTAR/Morgan State Univ. @ NASA-GSFC). Lorraine Remer (JCET-UMBC). VIIRS-2013 College Park, MD, November 2013. Jean-Luc . Moncet. P. Liang, J. Galantowicz, G. Uymin, A. Lipton, C. Prigent*, B. Hornbuckle**. Atmospheric and Environmental Research, . Inc.. *LERMA. **Iowa State University. First version of global monthly. Near nadir imagers do not provide the multi-angle observations necessary to capture the multi-angle reflective character described by the surface BRDF. Therefore, the Landsat albedo algorithm couples atmospherically corrected 30m Landsat . 1 MODIS and VIIRS Instrument Status Jack Xiong and Jim Butler Code 618.0, NASA Goddard Space Flight Center, Greenbelt, MD 20771 MODIS and VIIRS Science Team Meeting, Silver Spring, MD (June 06-10, 2016) Robert C. Levy (NASA-GSFC). robert.c.levy@nasa.gov. Shana . Mattoo. , Leigh . Munchak. . and Richard . Kleidman. . (SSAI/GSFC). Lorraine Remer. . (UMBC/JCET), . Falguni. . Patadia. (MSU/GSFC), . Eric Vermote. NASA GSFC Code 619. eric.f.vermote@nasa.gov.  .  . . . MODIS/VIIRS Science Team Meeting, June 6-June 10, Silver Spring, MD. A Land Climate Data Record. Multi instrument/Multi sensor Science Quality Data Records used to quantify trends and changes. M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Steven . Toby K. Westberry, Michael J. Behrenfeld . With (lots of) help from. Emmanuel Boss, Allen Milligan, Dave Siegel, Chuck McClain, Bryan Franz, Gene Feldman, Scott Doney, Ivan Lima, Jerry Wiggert, Natalie Mahowald, others. Spectroradiometer. Mean annual evaporation. NASA MODIS satellite. Moderate Resolution Imaging . Spectroradiometer. Average E-P for the oceans. NASA – Aquarius mission. Sea Surface Salinity.

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