Name
Abstract | ||
|---|---|---|
The first Special Sensor Microwave Imager/Sounder (SSMIS) was launched in October 2003 aboard the Air Force Defense Meteorological Satellite Program (DMSP) F-16 Spacecraft. As originally conceived, the SSMIS integrates the imaging capabilities of the heritage DMSP conically scanning Special Sensor Microwave/Imager sensor with the cross-track microwave sounders Special Sensor Microwave Temperature and Special Sensor Microwave Humidity Sounder, SSM/T-2 into a single conically scanning 24-channel instrument with extended sounding capability to profile the mesosphere. As such, the SSMIS represents the most complex operational satellite passive microwave imager/sounding sensor flown while, at the same time, offering new and challenging capabilities associated with radiometer channels having common fields of view, uniform polarizations, and fixed spatial resolutions across the active scene scan sector. A comprehensive end-to-end calibration/validation (cal/val) of the first SSMIS initiated shortly after launch was conducted under joint sponsorship by the DMSP and the Navy Space and Warfare Systems Command. Herein, we provide an overview of the SSMIS instrument design, performance characteristics, and major cat/val results. Overall, the first SSMIS instrument exhibits remarkably stable radiometer sensitivities, meeting requirements with considerable margin while providing high-quality imagery for all channels. Two unanticipated radiometer calibration anomalies uncovered during the cal/val-sun intrusion into the warm-load calibration target and antenna reflector emissions-required significant attention during the cal/val program. In particular, the tasks of diagnosing the root cause(s) of these anomalies as well as the development of ground processing software algorithms to mitigate their impact on F-16 SSMIS and hardware fixes on future instruments necessitated the construction of extensive analysis and simulation tools. The lessons learned from the SSMIS cal/val and the associated analysis tools are expected to play an important role in the design and performance evaluation of future passive microwave imaging and sounding instruments as well as guiding the planning and development of future cal/val programs. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TGRS.2008.917980 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
atmospheric techniques,calibration,mesosphere,microwave imaging,radiometry,weather forecasting,24-channel instrument,Air Force Defense Meteorological Satellite Program,Special Sensor Microwave Humidity Sounder,Special Sensor Microwave Imager-Sounder,Special Sensor Microwave Temperature Sounder,active scene scan sector,cross-track microwave sounders,ground processing software algorithm,instrument design,mesosphere,radiometer calibration,radiometer channels,radiometer sensitivity,spatial resolutions,uniform polarization,Calibration,meteorology,microwave radiometry,weather forecasting | Satellite,SSMIS,Depth sounding,Remote sensing,Microwave imaging,Special sensor microwave/imager,Mathematics,Radiometer,Microwave humidity sounder,Defense Meteorological Satellite Program | Journal |
Volume | Issue | ISSN |
46 | 4 | 0196-2892 |
Citations | PageRank | References |
22 | 3.60 | 10 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David B. Kunkee | 1 | 49 | 10.57 |
| Gene A. Poe | 2 | 184 | 31.87 |
| Donald J. Boucher | 3 | 28 | 5.21 |
| Steven D. Swadley | 4 | 50 | 11.00 |
| Ye Hong | 5 | 22 | 3.60 |
| John E. Wessel | 6 | 26 | 4.55 |
| Enzo A. Uliana | 7 | 53 | 8.01 |