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NPOESS Conical Scanning Microwave Imager/ Sounder (CMIS) Overview

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Presentation on theme: "NPOESS Conical Scanning Microwave Imager/ Sounder (CMIS) Overview"— Presentation transcript:

1 NPOESS Conical Scanning Microwave Imager/ Sounder (CMIS) Overview
David Kunkee June 23, 2002

2 Background NPOESS Conical Scanning Microwave Imager Sounder (CMIS)
Continues and Improves on the Missions of SSM/I, SSMIS Next Generation Polar-orbiting Operational Radiometer MISSION: Provide a variety of data-products: 22 Environmental Data Records (EDRs) An integral part of the NPOESS constellation Design CMIS design was optimized with respect to an Integrated Requirements Prioritization List (IRPL) and risk

3 CMIS Data Products and Design Priorities

4 CMIS Design Overview CMIS primary design drivers: Current CMIS Design
Cat I EDRs, Cat II EDRs and Cost Current CMIS Design 77 Channels: 37 channels with 40 FFT channels Two main reflectors: Low Frequencies (LF): 2.2 m High Frequencies (HF): 0.5 X 0.7 m Two feedhorn clusters LF cluster: 12 feedhorns, 6 – 89 GHz HF cluster: 4 feedhorns, 166 and 183 GHz >0.9 reliability after 7 years on orbit + 8 years storage Substantial redundancy 257 kg mass; 280 kb/s data rate; 291 W orbital average power

5 Conical-Scanning Microwave Imager/Sounder

6 CMIS Channel Set * *Polarizations: V=Vertical, H=Horizontal, P=+45 degrees, M =–45 degrees, L=Left-hand Circular, R=Right-hand Circular

7 CMIS Scan Geometry

8 CMIS Footprint Arrangement

9 Antenna Beam Sampling Co-registration of footprints
Requires up to 9 scan rotations High Frequency observations are offset in elevation to overlay Low Frequency antenna beam footprints Antenna Beam Sampling CMIS Provides Nyquist sampling for all channels along scan Nyquist sampling achieved cross-scan beyond ~20 degrees of the center of scan Head-to-toe (contiguous) sampling along track

10 CMIS Data Products and Algorithms
Atmospheric and Environmental Research (AER) All EDRs (and intermediate data products) except Ocean EDRs Remote Sensing Systems (RSS) Ocean EDRs Microwave Operational Algorithm Team (MOAT) Government/University advisory board to CMIS Shares latest science and techniques with AER/RSS Sea Surface Wind Direction: 10, 18, 37 GHz (V,H) 18, 37 GHz (–45, +45) 10, 18 GHz (LH, RH) Temperature Sounding: 60 GHz (9 channels from 50.3 to GHz, V-pol) 40 FFT channels centered on 7+ O2 line ( GHz)

11 CMIS EDR Algorithms AER uses a unified retrieval approach
All available radiometric & auxiliary/ancillary data supplied to a physical retrieval scheme Optimizes solution based on the internal model Retrieval produces vertical moisture profile and vertical temperature profile Output generated at predetermined altitudes Includes Surface Temperature & Emissivity Output is supplied algorithms that produce remaining non-ocean EDRs

12 CMIS EDR Algorithms (Cont’d)
Ocean EDRs Remote Sensing Systems Based on CMIS calibrated brightness temperatures Ocean EDRs are supplied as input to the unified retrieval Sea-Surface Wind Direction (SSWD) is a key development of CMIS

13 Heritage Radiometers Several sensors qualify as “heritage”
SSM/I (special-sensor, microwave imager) Only Operational Conical-Scanning microwave imager on orbit SSMIS (microwave imager/sounder) Not yet launched – scheduled for October 2002 Includes temperature and moisture sounding channels Other ‘pathfinders’ AMSR-E Includes imaging channels 6 – 89 GHz 1.6 m reflector WINDSat Sea surface wind direction from polarimetric microwave measurements Full polarimetric capability at 10, 18 and 37 GHz Risk reduction for CMIS

14 SSM/I Scan Geometry J.L Hollinger, J. L. Peirce and G. A. Poe, “SSM/I Instrument Evaluation”, IEEE Trans. Geosci. Remote Sensing, 28(5), Sept 1990

15 SSM/I and CMIS Imaging Channels

16 Conical Scanning Radiometers (I) L-R: TMI CMIS SSM/I

17 Conical Scanning Radiometers (II)
Advanced Microwave Scanning Radiometer (EOS) (AMSR-E) Special Sensor Microwave Imager Sounder (SSMIS)

18 Summary CMIS offers: New operational data products
Sea Surface Wind Direction Soil Moisture Cloud Base Height Quantifiable improvements in heritage data products Spatial Resolution Measurement Range


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