PPT-MODIS

C ollection 6 Ice M odel A ssessments with POLDER and CALIPSO Ping Yang Souichiro Hioki Jiachen Ding Department of Atmospheric Sciences Texas AampM University In collaboration with . 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. Land . Surface Temperature and . Emissivity (LST&E) Products.  . Glynn Hulley, . Simon . Hook. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. (c) . 2014 . California Institute of Technology. Government sponsorship acknowledged. IDEA):. R. Bradley Pierce. NOAA/NESDIS/STAR. PM2.5 . forecasting . tool hosted at NOAA NESDIS using . NASA MODIS (Moderate Resolution Imaging . Spectroradiometer. ), GOES derived . aerosol optical depth (. Zhibo (. zippo. ) Zhang. 03/29/2010. ESSIC. Outline. Background. Importance of ice cloud. Ice particle model and ice cloud retrieval. Influence of ice particle model on . t. retrieval. Comparison of MODIS and POLDER ice . Dan . Sauceda. Outline. Information on the Region. Data Information. Reflectance Equations. MODIS Images. NDVI. Conclusions. Information on the Region. Latitude: 0. ˚N, -12˚S. Longitude: -56˚. E, -72. Data. R. Bradley Pierce. Ed . Eloranta. , Dave Turner, . Shobha. . Kondragunta. , . Pubu. . Ciren. , . Istvan. Laszlo, Ralph . Kuehn, Rick Wagener. NOAA GOES-R Air Quality Proving Ground . 3. rd. . F. red Huemmrich, UMBC/GSFC . John Gamon, University of Alberta. We want to develop methods to use optical signals to estimate ecosystem carbon exchange. Examine the relationships between ecosystem production (GEP) and spectral reflectance. Ivan Csiszar. 1. , . Wilfrid. Schroeder. 2. , Louis Giglio. 2. , Evan Ellicott. 2. , Christopher O. Justice. 2.  . 1. NOAA/NESDIS Center for Satellite Applications and Research, Camp Springs, MD.  . Chengquan. Huang. 1,2. . Min Feng. 1,2. , . Joseph O. . Sexton. 1,2. , . Raghuram. . Narasimhan. 1,2. , . Saurabh. . Channan. 1,2. , Jeff . Masek. 3. , Eric . Vermote. 2. , . Feng. Gao. 4. , John Townshend. Jack . Xiong. (NASA GSFC). and. MODIS Characterization Support Team. MODIS Science Discipline Representatives. University of Maryland University . College, Adelphi, . MD 20783 (May 17, 2011). Aqua. Terra. 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. Collection 6 e-Deep Blue/Dark Target comparison and ‘merged’ aerosol products. 1. Images from NASA Earth Observatory, . http://earthobservatory.nasa.gov/Features/Aerosols/. Deep Blue group: . N. Christina Hsu (PI), . Spectroradiometer. Mean annual evaporation. NASA MODIS satellite. Moderate Resolution Imaging . Spectroradiometer. Average E-P for the oceans. NASA – Aquarius mission. Sea Surface Salinity.