A 1DVAR‐based snowfall rate retrieval algorithm for passive microwave radiometers. Issue 12 (29th June 2017)

• Record Type: Journal Article
• Authors: Meng, Huan; Dong, Jun; Ferraro, Ralph; Yan, Banghua; Zhao, Limin; Kongoli, Cezar; Wang, Nai‐Yu; Zavodsky, Bradley
• Is Part Of: Journal of geophysical research. Volume 122:Issue 12(2017)
• Page Start: 6520
• Page End: 6540
• Publication Date: 2017-06-29
• Subjects: snowfall rate -- algorithm -- passive microwave -- 1DVar -- ATMS -- MHS; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/2016JD026325
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: Snowfall rate retrieval from spaceborne passive microwave (PMW) radiometers has gained momentum in recent years. PMW can be so utilized because of its ability to sense in‐cloud precipitation. A physically based, overland snowfall rate (SFR) algorithm has been developed using measurements from the Advanced Microwave Sounding Unit‐A/Microwave Humidity Sounder sensor pair and the Advanced Technology Microwave Sounder. Currently, these instruments are aboard five polar‐orbiting satellites, namely, NOAA‐18, NOAA‐19, Metop‐A, Metop‐B, and Suomi‐NPP. The SFR algorithm relies on a separate snowfall detection algorithm that is composed of a satellite‐based statistical model and a set of numerical weather prediction model‐based filters. There are four components in the SFR algorithm itself: cloud properties retrieval, computation of ice particle terminal velocity, ice water content adjustment, and the determination of snowfall rate. The retrieval of cloud properties is the foundation of the algorithm and is accomplished using a one‐dimensional variational (1DVAR) model. An existing model is adopted to derive ice particle terminal velocity. Since no measurement of cloud ice distribution is available when SFR is retrieved in near real time, such distribution is implicitly assumed by deriving an empirical function that adjusts retrieved SFR toward radar snowfall estimates. Finally, SFR is determined numerically from a complex integral. The algorithm has been validated against both radar and ground observations of snowfall events from the contiguous United States with satisfactory results. Currently, the SFR product is operationally generated at the National Oceanic and Atmospheric Administration and can be obtained from that organization. Key Points: A 1DVAR‐based snowfall rate algorithm has been developed for passive microwave radiometers aboard polar‐orbiting satellites The algorithm has been validated against both radar snowfall estimates and gauge observations with satisfactory results The snowfall rate product is being produced by the National Oceanic and Atmospheric Administration operationally at near real time