Abstract
During the past 20 years there has been a dramatic increase in the use of satellite based-microwave products by the worldwide community of meteorological and oceanographic organizations. This greater emphasis is primarily attributed to the launch of the Special Sensor Microwave/Imager (SSM/I) in 1987 on board the first of a series of Defense Meteorological Satellite Program (DMSP) satellites. SSM/I contains six channels in window regions (19, 37, 85 GHz) with dual polarization, and a seventh channel centered on the 22.23 GHz water vapor line with vertical polarization. Products such as rainfall, snow-cover, cloud liquid water, water vapor, sea surface winds and sea ice concentration are produced each day on a global basis using all of the SSM/I channel measurements. SSM/I was developed by the U.S. Navy and first launched on the F-8 DMSP satellite. As a result of a shared processing agreement, all of the SSM/I products are generated by the U.S. Navy and distributed to both the U.S. Air Force and NOAA. The three agencies utilize the products in various ways to improve the analysis and forecast of weather systems.
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References
Alishouse JC, Snider JB, Westwater ER, Swift CT, Ruf CS, Snyder SA, Vongsathorn J, Ferraro RR (1990) Determination of cloud liquid water content using the SSM/I. IEEE Trans Geosci Remote Sen 28: 817–822
Boeing/AER (2001) CMIS algorithm theoretical base document. Vol. 1–17, NOAA Integrated Program Office, Silver Spring, MD
Ferraro RR, Weng F, Grody N, Basist A (1996) An eight year (1987 — 1994) time series of rainfall, clouds, water vapor, snow and sea ice derived from SSM/I measurements. Bull Amer Meteor Soc 77: 891–905
Greenwald TJ, Stephens GL, Vonder Haar TH (1993) A physical retrieval of cloud liquid water over the global oceans using Special Sensor Microwave/Imager (SSM/I) observations. J Geophys Res 98: 18,471–18,488
Grody NC (1991) Classification of snow cover and precipitation using the special sensor microwave imager. J Geophys Res 96: 7,423–7,435
Jones AS, Vonder Haar TH (1997) Retrieval of microwave surface emittance over land using coincident microwave and infrared satellite measurements, J Geophys Res 102: 13,609–13,626
Li L, Im E, Chang PS, St. Germain KM, Njoku E (2002) Radio-Frequency Interference (RFI) identification and suppression of the 7-GHz AMSR-E channels for land sensing. JPL report D-24839
Liu G, Curry J (1993) Determination of characteristic feature of cloud liquid water from satellite microwave measurements. J Geophys Res 98: 5,069–5,092
Liu Q, Weng F (2003) Retrieval of sea surface wind vector from simulated satellite microwave polarimetric measurements. Radio Sci 38: 8,078–8,088
Poe G (2001) DMSP Calibration/Validation plan for the Special Sensor Microwave Imager Sounder (SSMIS). NRL, Monterey, CA.
Prigent C, Rossow WB, Matthews E (1997) Microwave land emissivities estimated from SSM/I observations. J Geophys Res 102: 21,867–21,890
Weng F, Ferraro RR, Grody NC (1994) Global monthly precipitation estimation using DMSP F-10 and F-11 Special Sensor Microwave Imager (SSM/I). J Geophys Res 99: 14,493–14,502
Weng F, Grody NC (1994) Retrieval of cloud liquid water over oceans using special sensor microwave imager (SSM/I). J Geophys Res 99: 25,535–25,551
Weng F, Grody NC, Ferraro RR, Basist A, Forsyth D (1997) Cloud liquid water climatology derived from the Special Sensor Microwave Imager. J Climate 10: 1,086–1,098
Weng F, Grody NC (1998) Physical retrieval of land surface temperature using the special sensor microwave imager. J Geophys Res 103: 8,839–8,848
Weng F, Grody NC (2000) Retrieval of ice cloud parameters using a microwave imaging radiometer. J Atmos Sci 57: 1,069–1,081
Weng F, Zhao L, Ferraro R, Poe G, Li X, Grody N (2003) Advanced Microwave Sounding Unit Cloud and Precipitation Algorithms. Radio Sci 38: 8,086–8,096
Weng F, Yan B, Grody NC (2001) a microwave land emissivity model. J Geophys Res 106: 20,115–20,123
Wentz FJ (1997) A well calibrated ocean algorithm for special sensor microwave imager. J Geophys Res 102: 8,703–8,718
Zhao L, Weng F (2002) Retrieval of ice cloud parameters using the Advanced Microwave Sounding Unit (AMSU). J Appl Meteorol 41: 384–395
Zhu T, Zhang D, Weng F (2002) Impacts of Advanced Microwave Sounding Unit measurements on hurricane prediction and forecast. Mon Wea Rev 130: 2,416–2,432
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© 2006 Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg
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Weng, F. (2006). Conically Scanned Microwave Imager Sounder. In: Qu, J.J., Gao, W., Kafatos, M., Murphy, R.E., Salomonson, V.V. (eds) Earth Science Satellite Remote Sensing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37293-6_12
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DOI: https://doi.org/10.1007/978-3-540-37293-6_12
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