PPT-MODIS Snow Cover Metrics for Alaska: Algorithm and Evaluati

Jiang Zhu 1 and Chuck Lindsay 2 1 Geographic Information Network of Alaska University of Alaska Fairbanks jiangginaalaskaedu 2 Inventory and Monitoring Program National Park Service chucklindsaynpsgov. Jeff Dozier – UCSB. NASA Snow Remote Sensing Workshop. Boulder, August 2013. Different concepts in different parts of spectrum. Visible, near-infrared, and infrared. Independent scattering. Weak polarization. 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. 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. Snowfall, Snow melt and Thermal Belts. Gina Loss – Service Hydrologist. Dave Bernhardt – Science & Operations Officer. Great Falls, Montana. Why MODIS to monitor snow and river ice?. Montana is rural with a low population density.  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. GOES-R OCONUS Workshop. Reported by. Tom Heinrichs. Dayne. . Broderson. , Jiang Zhu. tom.heinrichs@alaska.edu. www.gina.alaska.edu. Juneau, Alaska -- July 26, 2011. With thanks to colleagues at . GINA, CIMSS, STAR. Jeff Dozier – UCSB. NASA Snow Remote Sensing Workshop. Boulder, August 2013. Different concepts in different parts of spectrum. Visible, near-infrared, and infrared. Independent scattering. Weak polarization. CPA-A produces more accurate chlorophyll in both nearshore and offshore. Operational Algorithms for the Retrieval of Water . Quality Parameters in the Great Lakes from Satellite Data. . Robert Shuchman. Cryosphere Products Validation Team. Jeff Key, NOAA/NESDIS/STAR, Team Lead. Paul Meade, Cryosphere Products JAM. DR # 7132. CCR # 474-CCR-13-0945. DRAT discussion: April 19, 2013. AERB presentation: April 24, 2013. 1GLOBAL GEDILevel 2User GuideFor SDPS PGEVersion 3P003of GEDI L2ADataand SDPS PGEVersion 3P003of GEDI L2BDataVersion 20April 2021Science TeamPrincipal Investigator Ralph Dubayah1Deputy Principal Inves . VIIRS Snow . and . Ice Product Provisional Maturity Review November 14, 2013. Mike . Ek. , . Jiarui. Dong . and EMC Land Team. NOAA/NCEP/EMC. •. Unified Noah LSM in all NCEP NWP and climate systems, plus in NLDAS/GLDAS.. . Kat J. Bormann, Jet Propulsion Laboratory, Caltech . Data & Results: . There is extensive surface and satellite-based evidence of significant declines in Northern Hemisphere spring snow cover starting in the mid 1980’s in response to recent warming. However, our ability to monitor snow cover and trends in mountain regions is severely hampered by limitations in current satellite systems. Consequently the trends in the mountains are much less clear.. EURO-CORDEX regional climate models with . MODIS remote sensing observations . for the European Alps. M. Matiu, M. Petitta, C. Notarnicola, M. Zebisch. Eurac Research, Bolzano, Italy. Motivation. Traditional . 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), .