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Air – Sea Measurements from Ships: Fluxes, Time Series, Remote Sensing Dr. Jeff Hare CIRES – University of Colorado and NOAA Earth Systems Research Lab jeff.hare@noaa.gov CSU ATS 650 Measurements Systems and Theory
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Fasullo and Trenberth, J.Clim. 2008 SI = Solar Insulation ASR = Absorbed Solar OLR = Outgoing Longwave F S = Net Surface Flux R T = Net Radiation F A = Energy transport (atm)
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NOAA Ship Ronald H. Brown
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Turbulent fluxes (direct covariance) Latent heatρL v [W/m 2 ] Sensible heatρC p [W/m 2 ] Momentumρ [N/m 2 ] Gas (etc) Instruments: Sonic anemometer (wind, temperature) Infrared gas analyzer (humidity, CO2, etc) Motion (roll, pitch, yaw, heave, surge, sway) GPS/Compass/Doppler speed
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t 1 = L / (c + v) ; t 2 = L / (c - v); v = 0.5 L (1/t 1 – 1/t 2 ); c = 0.5 L (1/t 1 + 1/t 2 ); T s = c 2 / 403; T = T s / (1 + 0.32 e / p) L = path length t = time of flight c = speed of sound v = wind velocity T = temperature T s = “virtual” temp p = pressure e = water vapor pressure
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Absorptance of a particular gas α = 1 – A / A o A = power received at absorbing wavelength A o = power received at non-absorbing wavelength ρ = P e f(α / P e ) [mol m -3 ] number density ρ = P e f([1 – z A / A o ] S / P e ); P e is equivalent pressure S is ‘span’ Channels available for water vapor and CO 2 Infrared Gas Analyzer (IRGA)
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Ƭ = ρ + ρ + ρ streamwise transverse wave stress U = + u’ + u ~ V = + v’ + v ~ W = + w’ + w ~ Wind stress (momentum flux) drives currents and waves, thus driving heat transport in the ocean. Wind Stress
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H s = ρ C p Sensible heat flux H L = ρ L v Latent heat flux T = + θ’ Q = + q’ Heat transfer between the sea surface and atmosphere is another primary driver of ocean circulation Heat Fluxes
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Using advanced techniques for direct measurement of air-sea fluxes, we have obtained data from oceans around the world. This data has been used to develop parameterizations to estimate air-sea fluxes from mean state variables (wind speed, air temperature, sea temperature, humidity, etc). Air-sea fluxes of heat (latent/sensible) are also fundamental to cloud development (hence, surface energy budget, precipitation, etc).
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Ron Brown Mast
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NOAA/ESRL Turbulent Flux System
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Example of power spectra for wind velocity components
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Flow distortion study
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Energy Budget Q NET = Q S ↑ + Q S ↓ + Q L ↑ + Q L ↓ + H S + H L + Storage Net at the surface Shortwave up/down (albedo) Longwave up/down Sensible turbulent heat flux Latent turbulent heat flux Q L ↑ = ε(σT 4 -Q L ↓)
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Surface energy budget study from Stratus 2003
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Radiative fluxes / Clouds / Water vapor / Boundary layer profiles Downwelling solar Downwelling IR Cloud base height, cloud fraction T / RH / wind profiles Instruments Pyrgeometer (PSP) Pyranometer (PIR) Ceilometer 60 GHz scanning microwave radiometer C-band radar Wind profiling radar (915 MHz) Cloud radars (35 GHz [K a ], 94 GHz [W])
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Eppley PIR (longwave) Eppley PSP (shortwave) Issues with roll, pitch of ship are resolved with stabilized platform
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TAO/PACS Heat Fluxes 95 & 110˚W Model TAO buoy WHOI (1984-2002) [Yu and Weller 2007] CORE (1984-2004) [Large and Yeager 2004] NOAA ship observations (1999-2002) [Fairall et al. 2008] GFDL CM2.1 latent sensible longwave solar net IROAM -12-8-404812 -160 -120 -80 -40 0 -12-8-404812 -20 -10 0 -12-8-404812 -75 -50 -25 0 -12-8-404812 100 150 200 250 300 -12-8-404812 -100 -50 0 50 100 150 200 north latitude -12-8-404812 -160 -120 -80 -40 0 -12-8-404812 -20 -10 0 -12-8-404812 -75 -50 -25 0 -12-8-404812 100 150 200 250 300 -12-8-404812 -100 -50 0 50 100 150 200
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NOAA Ship Ronald H. Brown
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Ron Brown C-band Radar reflectivity 08:00 UTC 08/01/2004
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Ron Brown C-band Precip Radar
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Radiometers and raingauge Radiosonde launch can be difficult
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ceilometer Radiometers 23 – 32 GHz Passive “Mailbox” -> integrated water vapor, liquid, brightness temperature
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Radiometrics Model 1500 22-30 GHz Continuous water vapor profiles up to 10km, integrated liquid water. NOAA ESRL also has a Model WVR-1100 (mailbox)
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TeraScan visible image with Stratus Buoy (NOAA-18, 20:43 UTC 10/19/2006) GOES, NOAA, DMSP, SeaWiFS, Aqua, etc
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Ron Brown 915-MHz Wind Profiler
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Water-side measurements Currents Temperature and salinity profiles Wave measurement systems Instruments Conductivity temperature depth (CTD) Acoustic Doppler current profiler (ADCP) WAMOS Laser altimeter
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CTD Strain gauge pressure sensor Thermistor to measure temperature Conductivity = Current / Voltage (1/R) Uses a bridge circuit to detect small changes in resistance
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CTD and water sampling bottle array ADCP
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WAMOS (Wave and Surface Current Monitoring System)
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Significant wave height (height of the highest 1/3 of waves) H s = 4 1/2 ζ is the standard deviation of surface displacement. ω = 2 π f ω is wave frequency (f is in Hz) ω = 2 π / TT is wave period k = 2 π / LL is wave length ω 2 = g kDeep water c = (g/k) 1/2 Phase velocity
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PACS Synthesis Examples
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Liquid and vapor water column diurnal sampling
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diurnal sampling 250 618 12 0 25 618 12 0 25 618 12 0 25 618 12 0 50 618 12 0 -85-82.5-80-77.5-75 0 0.5 1 1.5 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 55 5 5 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 7 7 77 7 7 7 7 7 7 7 7 7 7 degrees longitude height (km) surface LCL cloud base cloud top Cloud height
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cloud base 10% higher than LCL Cloud base above 900 m decoupled from surface layer Effect of stratification and mixing on cloud base
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“Sea Snake” Surface temperature measurement
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