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Applications of the NPOESS Imagers Thomas F. Lee, Jeffrey Hawkins, F. Joseph Turk, Peter Gaiser, Mike Bettenhausen Naval Research Laboratory Monterey CA.

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Presentation on theme: "Applications of the NPOESS Imagers Thomas F. Lee, Jeffrey Hawkins, F. Joseph Turk, Peter Gaiser, Mike Bettenhausen Naval Research Laboratory Monterey CA."— Presentation transcript:

1 Applications of the NPOESS Imagers Thomas F. Lee, Jeffrey Hawkins, F. Joseph Turk, Peter Gaiser, Mike Bettenhausen Naval Research Laboratory Monterey CA and Washington DC Steven D. Miller Cooperative Institute for Research in the Atmosphere Fort Collins Colorado American Meteorological Society Joint Session 13 January 2009

2 Visible Infrared Imaging Radiometer Suite (VIIRS) On NPP (2010) and NPOESS (C1 2013) 22 Channels between 0.3 and 12 microns Legacy from DMSP OLS, NOAA AVHRR, EOS MODIS Swath Width ~3000 km (MODIS 2330 km) Cleaner, Sharper, More Detailed Imagery Dramatically Improved (compared to DMSP) Day/Night Band (DNB) DNB Demonstration and True Color

3 Dramatically Improved Day/Night Band (DNB) NASA GSFC

4 Dramatically Improved Day/Night Band (DNB)

5 DNB Improved Field of View Artist’s Visualization 64 Display Levels16, 384 Display Levels

6 Can we know the weather over Chicago?

7 Anticipating VIIRS DNB http://earthobservatory.nasa.gov/Features/CitiesAtNight/

8 First Operational Weather Satellite with True Color.49 µm.56 µm.64 µm

9 Synergistic Improvement AVHRR 1.1 Km; Edge of Scan; Visible MODIS.25 KM; True Color Minimized Edge of Scan Effects

10 Chicago: Summer Green

11 Chicago: Fall Color

12 Chicago: After the leaves Fall

13 Chicago: Late Autumn Snow

14 COMET VIIRS Module www.meted.ucar.edu/npoess/viirs

15 Microwave Imager Sounder (MIS) Replacement for Conical Microwave Imager Sounder (CMIS) Scheduled for C2 (2016) Uses Passive Microwave Energy to see through clouds: SST, Sea Surface Winds, Soil Moisture, Atmospheric Moisture, Atmospheric Sounding, Ice, Snow, Clouds, Precipitation, Imagery ~ 1700 Km Swath Width Focus here is on Sea Surface Winds Simulation by R&D WindSat

16 NRL 7220 - Remote Sensing Physics Branch WindSat Surface Vector Wind Retrieval Performance High Spatial Resolution High Spatial Resolution Similar Performance: Speed/Direction Similar Performance: Speed/Direction Better Near Coastlines Better Near Coastlines Better Able to Capture High Winds Better Able to Capture High Winds Hurricane Dean 19 Aug 2007

17 WindSat Sea Surface Winds NOAA/NESDIS/OFFICE of Research and Applications, Zorana Jelenak R& D WindSat QuikScat Mexico

18 NRL 7220 - Remote Sensing Physics Branch WindSat/Coriolis Provides Operational Data Products Today Hurricane Boris - 03 July 2008 Imagery Wind Field Operational Data Products Generated at FNMOC in Near Real Time NRL-Monterey Tropical Cyclone Web Page www.nrlmry.navy.mil/tc_pages

19 Conclusions We’ve previewed products/imagery from just two NPOESS Instruments We’ve previewed products/imagery from just two NPOESS Instruments VIIRS and MIS are both “Imagers” but both yield quantitative data (retrievals) as well VIIRS and MIS are both “Imagers” but both yield quantitative data (retrievals) as well In the NPOESS era forecasters will be able to obtain products and images much more quickly than in the present In the NPOESS era forecasters will be able to obtain products and images much more quickly than in the present

20 Additional Slides

21 Typhoon Durian, GMS Visible

22 Typhoon Durian, WindSat 37 GHz


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