Session: Applications and Exploitation of NPOESS and GOES-R Data Products II (87th AMS Annual Meeting)

P2.1

Validation of mesoscale model output with satellite observations

Manajit Sengupta, CIRA/Colorado State Univ., Ft. Collins, CO; and L. Grasso, D. T. Lindsey, and M. DeMaria

Poster PDF (245.6 kB)

P2.2

Using regression models to enhance signals in a dispersive radiative field: Reducing stray light corruption in the limb profiler of the Ozone Mapper Profiler Suite (OMPS)

John W. Bergman, Computational Physics, Inc., Boulder, CO; and L. E. Flynn, J. Hornstein, and J. Lumpe

P2.3

The VIIRS Fire Mask

Alain Sei, Northrop Grumman Space Technology, Redondo Beach, CA; and D. B. Hogan, T. Kennely, and S. Zaccheo

P2.4

The VIIRS cloud mask

Keith Hutchison, Center for Space Research, Austin, TX; and B. Lisager, J. M. Jackson, J. K. Roskovensky, A. K. Heidinger, M. J. Pavolonis, T. J. Kopp, and R. A. Frey

P2.5

The NPOESS field terminal segment

James Jensen, Raytheon Intelligence and Information Systems, Omaha, NE; and J. Bradley

P2.6

Synthetic GOES-R and NPOESS imagery of mesoscale weather events

Lewis Grasso, CIRA/Colorado State Univ., Fort Collins, CO; and M. Sengupta and J. F. Dostalek

Poster PDF (95.7 kB)

P2.7

Status of the NPOESS VIIRS Instrument

Gary Ross, NOAA/NESDIS/NPOESS, Silver Spring, MD; and J. R. Swenson

P2.8

Simulation and test of the VIIRS sensor data record (SDR) algorithm for NPOESS

Stephen Mills, Northrop Grumman Space Technology, Redondo Beach, CA; and J. Lamoureux

P2.9

Sea surface temperature measurements from the VIIRS instrument during NPOESS

John M. Jackson, Northrop Grumman Aerospace Systems, Redondo Beach, CA; and W. J. Emery

P2.10

Retrieval of sea ice age and concentration using the VIIRS sea ice characterization algorithm: preliminary tests with MODIS proxy data

Robert Mahoney, Northrop Grumman Aerospace Systems, Redondo Beach, CA; and I. Appel and M. Kowitt

P2.11

Operational Cloud Detection Systems in the NPOESS GOES-R Era

Gilberto A. Vicente, NOAA, Camp Springs, MD; and A. K. Heidinger

P2.12

Operational and scientific applications of ozone data from NPP and NPOESS

John Hornstein, NPOESS IPO/NRL, Washington, DC; and L. E. Flynn, C. S. Long, R. McPeters, D. Gu, and D. Durnford

P2.13

OMPS - The Next Generation Sensor Suite for Global Ozone Monitoring

Scott C. Asbury, Ball Aerospace & Technologies Corp., Boulder, CO; and J. Sneary, Q. Remund, and J. Rodriguez

P2.14

NSIPS: A Hub for NPOESS Cal/Val support

Bonnie Reed, General Dynamics Advanced Information Systems, Arlington, VA; and J. Zajic, C. Wang, A. Harrington, M. Wong, J. Bowser, J. Bay, C. Johnson, M. Johnson, and M. Echeverri

P2.15

NPOESS system architecture

Frank Hinnant, Eagle Consulting, LLC, Lansing, NC

P2.16

NPOESS storage area network (san)/fiber channel interface

James Austin, Raytheon Intelligence and Information Systems, Inc., Aurora, CO

P2.17

NPOESS soil moisture satellite data assimilation research using windsat data

Andrew Jones, CIRA/Colorado State Univ., Fort Collins, CO; and C. L. Combs, S. Longmore, D. Rapp, T. H. Vonder Harr, T. Vukicevic, G. Mason, G. McWilliams, and M. Mungiole

P2.18

NPOESS Preparatory Project (NPP) Science Data Segment (SDS)

Robert J. Schweiss, NASA/GSFC, Greenbelt, MD

P2.19

NPOESS interface data processing segment

Kerry Grant, Raytheon Company, Aurora, CO

P2.20

NPOESS environmental data records

Mike Haas, NPOESS IPO, Silver Spring, MD

P2.21

NPOESS Command, Control, and Communications Segment (C3S)

Bill Sullivan, Raytheon, Aurora, CO

P2.22

Neural Network Retrievals of Precipitation and Atmospheric Temperature and Moisture Profiles from ATMS and CRIS

William J. Blackwell, MIT Lincoln Laboratory, Lexington, MA; and F. Chen

P2.23

Modeling GOES-R 6.185�10.35 �m brightness temperature differences above cold thunderstorm tops

Daniel T. Lindsey, NOAA/NESDIS/RAMMB, Fort Collins, CO., Fort Collins, CO; and L. Grasso

P2.24

Mixed Phase Detection and Cloud Property Retrievals during NPOESS

Denise Hagan, Northrop Grumman Space Technology, Redondo Beach, CA; and S. Q. Kidder, A. Kankiewicz, T. H. Vonder Haar, and M. Mussetto

P2.25

Improvements to NPOESS temperature and moisture sounding by combining sounder and imaging instrument data

Richard J. Lynch, AER, Inc., Lexington, MA; and C. Richard, H. E. Snell, D. B. Hogan, A. Huang, D. Hagan, and M. Mussetto

P2.26

GOES-R transition from GOES Variable Format (GVAR) to GOES Rebroadcast Data

John W. Linn III, Mitretek Systems, Falls Church, VA; and L. Shipley

P2.27

Differentiating between clouds and aerosol during the NPOESS era

Keith Hutchison, Center for Space Research, Austin, TX; and B. Isager and J. M. Jackson

P2.28

Development and testing of the VIIRS land surface temperature using global modis proxy data and global synthetic data

Justin Ip, Northrop Grumman Space Technology, Redondo Beach, CA; and B. Hauss

P2.29

Coastal waters imaging: instrument and data utility issues

Stephanie R. Sandor-Leahy, Northrop Grumman Space Technology, Redondo Beach, CA; and P. Bissett, B. Hauss, and C. Mobley

P2.30

Cloud top temperatures of cirrus clouds retrieved from radiances in the NPOESS/VIIRS 8.55-�m and 12.0-�m Bandpasses

Eric Wong, Northrup Grumman Aerospace Systems, Redondo Beach., CA; and K. D. Hutchison, S. C. Ou, and K. N. Liou

P2.31

Analysis of Adjacency Effects for Two Lambertian Half-Spaces

Alain Sei, Northrop Grumman Space Technology, Redondo Beach, CA

P2.32

Air quality products from noaa's GOES-R advanced baseline imager (ABI) and hyperspectral environmental sounder (HES)

Shobha Kondragunta, NOAA/NESDIS, College Park, MD; and M. Goldberg

P2.33

Aerosol Measurements from the VIIRS Instrument During NPOESS

Eric Shettle, NRL, Washington, DC; and R. Halthore, E. Vermote, and J. M. Jackson

P2.34

A theoretical study of the uncertainties in the remote sensing of ice cloud optical thickness and effective size using high spectral resolution satellite observations

Zhibo Zhang, University of Maryland, Baltimore County, Baltimore, MD; and P. Yang, H. L. Huang, and J. Li

P2.35

WRF-simulated atmospheric profile datasets used to support GOES-R research activities

Jason A. Otkin, CIMSS/SSEC, Madison, WI; and H. L. Huang, E. R. Olson, and S. Wanzong

P2.36

The GOES-R ABI (Advanced Baseline Imager) and continuation of GOES-N class sounder products

Timothy J. Schmit, NOAA/NESDIS, Madison, WI; and J. Gurka, J. Li, and K. Schrab

Poster Session 2: Applications and Exploitation of NPOESS and GOES-R Data Products II