The airborne Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR)

Piepmeier, Jeffrey R.; Racette, P.; J., Wang,; Crites, A. T.; Doiron, T.; Engler, Chuck; Lecha, Javier; Powers, Michael C.; Simon, E.; Triesky, M.E.

doi:10.1109/igarss.2002.1025685

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…The Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) is a unique passive radiometer that operates at many channels, the central frequencies of which are 50.3 GHz, 52.8 GHz, 89.0 GHz with horizontal and vertical polarization (H and V), 165.5 GHz (H and V), 183.31 6 1 GHz, 183.31 6 3 GHz, and 183.31 6 7 GHz (Kroodsma et al 2019). CoSMIR was designed to match tropospheric sounding channels of the Defense Meteorological Satellite Program's Special Sensor Microwave Imager/ Sounder (Piepmeier et al 2002). CoSMIR's scan head is mounted on a dual-axis gimbaled mechanism, enabling a large variety of scan cycles (Kroodsma et al 2019).…”

Section: B Cosmirmentioning

confidence: 99%

An Airborne Multifrequency Microwave Analysis of Precipitation within Two Winter Cyclones

Richter,

Lang

2024

Monthly Weather Review

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NASA’s Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign gathered data using “satellite-simulating” (albeit with higher-resolution data than satellites currently provide) and in situ aircraft to study snow storms, with an emphasis on banding. This study used three IMPACTS microwave instruments, two passive and one active, chosen for their sensitivity to precipitation microphysics. The 10-GHz through 37-GHz passive frequencies were well suited for detecting light precipitation and differentiating rain intensities over water. The 85-GHz through 183-GHz frequencies were more sensitive to cloud ice, with higher cloud tops manifesting as lower brightness temperatures, but this did not necessarily correspond well to near-surface precipitation. Over land, retrieving precipitation information from radiometer data is more difficult, requiring increased reliance on radar to assess storm structure. A dual-frequency ratio (DFR) derived from the radar’s Ku- and Ka-band frequencies provided greater insight into storm microphysics than reflectivity alone. Areas likely to contain mixed-phase precipitation (often the melting layer/bright band) generally had the highest DFR, and high-altitude regions likely to contain ice usually had the lowest DFR. The DFR of rain columns increased toward the ground, and snow bands appeared as high-DFR anomalies.

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Section: B Cosmirmentioning

confidence: 99%