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Magdalena D. Anguelova, Justin P. Bobak, William E. Asher, David J. Dowgiallo, Ben I. Moat, Robin W. Pascal, Margaret J. Yelland 16th Conference on Air-Sea Interaction 11–15 January 2009, Phoenix, Arizona Validation of satellite-based estimates of whitecap coverage: Approaches and initial results Validation of satellite-based estimates of whitecap coverage: Approaches and initial results Naval Research Laboratory, Washington, DC Applied Physics Laboratory, University of Washington, Seattle, WA National Oceanography Centre, Southampton, UK
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Long-term goal Improve Sea Salt Source Function parameterization by modeling the high variability of whitecap coverage or u – wind speed (u 10 or u * ?) T – atmospheric stability (= T air – T sea ) X – wind fetch d – wind duration U cur – water currents T s – sea surface temperature S – salinity C k – concentration, type (k) of surface active materials
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. The first step Framework Improve existing or develop new models; Extensive database: W + various factors; Measurements: W + various factors; Existing W measurements: Photographs/video images; Insufficient for extensive database; Alternative approach: From satellites to get global coverage; wide range of meteo & environ conditions; Whitecap variability:
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Daily map of W Daily data (swath) for entire 2006, months of 2007 and 2008
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Retrieving W (changes in T B at microwave frequencies): Using parts of WindSat forward model (v.1.9.6) ; Rough surface emissivity, e r ; Atmospheric variables atm. correction; Foam emissivity model, e f ; Independent sources for the input variables: T B from WindSat; V, L from SSM/I or TMI; U 10 from QuikSCAT, SSM/I, or GDAS; T s from GDAS; S = 34 psu; Improvements over the published feasibility study: More physical models for e r, e f, and atm. corr.; Independence of the variables; Minimization of errors. Satellite-based foam fraction W
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Validation Insufficient ground truth values: Data collection: Slow and expensive; Sporadic and non-systematic; Limited range of conditions; Fewer in situ-satellite matches in time and space; Different principles of measurement: Reflectivity in the Visible (photographic/video); Emissivity in the Microwave (radiometer); Various approaches to circumvent difficulties.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Validation approaches Historical database of in situ values; Wind speed formula; Ship-borne measurements; Air-borne measurements. There are questions and issues with each approach.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. In situ historical data by type
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. 10 GHz seems good
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. All Frequencies, H pol
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Satellite vs Wind formula W sat more uniform by latitude; High lat higher W. March, 2007, 0.5 deg x 0.5 deg Satellite, 18.7 GHz, H pol. Wind speed formula: Monahan and O’Muircheartaigh, 1980: U 10 from QuikSCAT or GDAS; Time/space matched with WindSat;
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Difference maps W = W sat – W mod 18H 10H + W = 0.041% ; - W = 0.44% + W = 0.61% ; - W = 0.63%
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Experiment HiWASE on Polarfront ship positioned at Station M; UK colleagues: Margaret Yelland, Ben Moat and Robin Pascal; Long-term (Sep 2006 to Sep 2009) measurements of W and other variables; In situ data for W; Two cameras, daylight restrictions (Mar-Oct); Photographic data processed at 3 intensity thresholds with AWE technique; Temporally-averaged values in a time window around or close to WindSat pass time; The effect of time window (minutes to 3 hours) was investigated; WindSat data for W: Closest pixel to lat/lon position of each in situ point; WindSat low resolution (50 km x 71 km); Three frequencies (10, 18, and 37 GHz), H pol.; The effect of averaging over NºxNº box (e.g., 1/2ºx1/2º) was investigated; In situ data for W; Two cameras, daylight restrictions (Mar-Oct); Photographic data processed at 3 intensity thresholds with AWE technique; Temporally-averaged values in a time window around or close to WindSat pass time; The effect of time window (minutes to 3 hours) was investigated; WindSat data for W: Closest pixel to lat/lon position of each in situ point; WindSat low resolution (50 km x 71 km); Three frequencies (10, 18, and 37 GHz), H pol.; The effect of averaging over NºxNº box (e.g., 1/2ºx1/2º) was investigated; Polarfront ship data
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. In situ historical data by type
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Polarfront to historical in situ
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. WindSat matched to Polarfront
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. In situ and satellite winds 180-min time window
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. In situ and satellite winds 180-min time window
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI Experiment RAdiometry and Sea Surface Imagery (2007): North Atlantic, Gulf of Mexico (Hurricane Dean); High altitude: 6.7 km (20,000 ft); Clear sky to partial cloud cover; Radiometric measurements: APMIR ( Airborne Polarimetric Microwave Imaging Radiometer ) Channels available (GHz): 37VH34, 19VH34, 6.6VH, 6.8VH, 7.2VH (some data at channels at 10.7 and 22.235); Footprint roughly 1x2 km from on 19 and 37 GHz; Video measurements: High resolution video camera; Field of view of 159 m by 119 m.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI Experiment RAdiometry and Sea Surface Imagery (2007): North Atlantic, Gulf of Mexico (Hurricane Dean); High altitude: 6.7 km (20,000 ft); Clear sky to partial cloud cover; Radiometric measurements: NRL’s APMIR ( Airborne Polarimetric Microwave Imaging Radiometer ) Channels available (GHz): 37VH34, 19VH34, 6.6VH, 6.8VH, 7.2VH (some data at channels at 10.7 and 22.235); Footprint roughly 1x2 km from on 19 and 37 GHz; Video measurements: High resolution video camera; Field of view of 159 m by 119 m.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI Experiment RAdiometry and Sea Surface Imagery (2007): North Atlantic, Gulf of Mexico (Hurricane Dean); High altitude: 6.7 km (20,000 ft); Clear sky to partial cloud cover; Radiometric measurements: NRL’s APMIR ( Airborne Polarimetric Microwave Imaging Radiometer ) Channels available (GHz): 37VH34, 19VH34, 6.6VH, 6.8VH, 7.2VH (some data at channels at 10.7 and 22.235); Footprint roughly 1x2 km from on 19 and 37 GHz; Video measurements: UW’s High resolution video camera; Field of view of 159 m by 119 m.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Hurricane Dean flight KSYP #6 #7 #42003 #42055 3FPQ9 #1 #2 #3 #4 #5 Buoy Ship RASSI
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. In situ historical data by type
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI foam vs historical in situ
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI foam vs historical in situ
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI vs WindSat pairs Wind dependent AB factor 11 to 15 using Monahan & Woolf (1989) parameterizations for A+B and A
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI vs WindSat pairs Wind dependent AB factor 11 to 15 using Monahan & Woolf (1989) parameterizations for A+B and A
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Difficulties in validating satellite-based foam fraction; Amount of data; Conditions covered; Principle of measurements; Compensate using different approaches: Historical in situ data; Wind speed formula; Direct validation with APMIR/video data; Direct validation with ship data; Results: Ball-park in magnitude compared to in situ data; More uniform latitudinally than wind formula; Direct validation shows: underestimate at low winds and over estimate at high winds; How much of this result is correct? Future work: More match-ups of in situ and satellite data; Indirect validation (with other variables, not directly W); Tuning of the satellite-based algorithm. Summary Compensate using different approaches: Historical in situ data; Wind speed formula; Direct validation with ship-borne photographic data; Direct validation with air-borne video data; Results: Ball-park in magnitude compared to in situ data; More uniform latitudinally than wind formula; Direct validation shows: W sat overestimate at low winds and Relatively good estimate at high winds; Future work: More match-ups of in situ and satellite data; Indirect validation (with other variables, not directly W); Tuning of the satellite-based algorithm.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Additional slides
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Match-up issues Only 4 full swaths: from GDAS, Large temporal mismatch for other GDAS match-ups; Chunks of swaths for most passes: due to QuikSCAT passes CROSSING the WindSAT passes; Reflects on the number of samples available for low and high latitudes. Sample count
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Samples available for 1 month Sample count High latitudes with high winds are under represented.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Frequency and polarization dependence Understanding the info each freq and pol gives for W : Research foam skin depth; The effect of foam thickness on the skin depth and foam emissivity; The results could be important for gas exchange (CO 2 and other gases); Combining suitable freqs and pols in one “oceanographically” representative W;
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Compare to in situ A+B data
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Low freqs close to in situ A+B
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. 18 GHz Very similar to 23 GHz Atmosphere influence?
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. All frequencies, V pol
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. All Frequencies, H pol
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Biases Pair binned data; W = W sat -W ins ; Plot bins with high count. Freq (GHz), H pol. 6 10 1823 37
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Satellite vs Wind formula March, 2007 0.5 deg x 0.5 deg Wind speed formula Satellite, 10.7 GHz, H pol.
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Ship cruises Two ship cruises in 2006 and 2007 Ian Brooks and Margaret Yelland, UK: Data for: Foam fraction – direct validation; Sea-salt aerosol flux – indirect val. Matchups with WindSat data Spatial and temporal; Video data availability for about 10 points; Cruise data still processed
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. In situ and satellite winds (raw)
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Binned by wind speed
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Compare in situ – satellite pairs
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Compare in situ – satellite pairs
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. RASSI measuring configuration
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Wind speed conditions
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16th Air-Sea Interaction Conference, 14 January, 2009, Anguelova et al. Wind vector field during the flight
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