Regional rainfall measurements using Passive Aquatic Listener during SPURS field campaign Jie Yang, Stephen C. Riser, Jeffrey A. Nystuen, William E. Asher,

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Presentation transcript:

Regional rainfall measurements using Passive Aquatic Listener during SPURS field campaign Jie Yang, Stephen C. Riser, Jeffrey A. Nystuen, William E. Asher, and Andrew T. Jessup 2014 Aquarius/SAC-D Science Team Meeting November 11 – 14, 2014, Seattle, Washington USA

Outline Passive Aquatic Listener (PAL) calibration using 6-year Ocean Station PAPA data Rainfall measurements using PAL during SPURS 1) Rain rate and wind speed results during SPURS 2) Rainfall seasonal and intra-annual variability 3) Implication of rainfall measurements on salinity Summary and future work

PAL working mechanism and calibration

Drizzle Wind only Light rain followed by heavy downpour Spectrogram using PAL OSP data Feb. 11–12, 2008

Comparison of wind speed between PAL and anemometer

Comparison of rainrate between PAL and in situ rain gauge

PAL Rain accumulation using 6-year OSP data

Comparison of rain accumulation between PAL and in situ rain gauge

Rainfall measurements during SPURS Figure: Jessica Anderson

Float 7587 Comparison of wind speed between PAL and central mooring Float 7587 end position: ~200 km away from central mooring

Float 7587 Float 7547 Float 7582 Float 7607 Comparison of rain accumulation between PAL and 3B42 Feb – Jan. 2014

Rainfall seasonal and intra-annual variability during SPURS

Implication of rainfall measurements on salinity Salinity data: central mooring

Summary and future work PAL has been established to provide reliable estimates of wind speed and rainrate Passive acoustic remote sensing can be used to study the spatial variability and intermittency of rainfall and provide regional maps of the surface wind field Advantages of passive acoustic technique over conventional meteorological buoy measurement: autonomous, low-cost, long residence time at sea, real- time data access, and excellent temporal and spatial resolutions Future 1) regional map of wind and rain field 2) understanding the data better by combining PAL with S/T data on Argo floats and data that characterize vertical and horizontal advection of water in the region