Texas General Land Office
Texas Automated Buoy System
Buoy N Real Time Analysis
03-Jul-2013
Geochemical and Environmental Research Group

This is an experimental product originally implemented by Dr. Les Bender. Any questions or suggestions should be directed to Dr. Norman Guinasso at guinasso@tamu.edu
All information contained within reflect data collected prior to the time of issuance,2013-07-03.
An explanation of the product is being developed. As it becomes available it will be found at the bottom of this page.

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Analysis Products  Latent Heat Flux

Oceanographic
Current Stick Plot
1-day 2-day 4-day 7-day 14-day 30-day
Current Decomposition
1-day 2-day 4-day 7-day 14-day 30-day
Rotary Spectra
Spectral Forecast Model
Reversal Probability
Tides
Scatter Plot
Current Rose
1-day 2-day 4-day 7-day 14-day 30-day
Climatology
Alongcoast Variability
Water Temperature
QC'd Data Return
Data Download

Meteorological
Wind Stick Plot
1-day 2-day 4-day 7-day 14-day 30-day
Rotary Spectra
Wind: Gust and Mean
Scatter Plot
Wind Rose
1-day 2-day 4-day 7-day 14-day 30-day
Air Temperature
Barometric Pressure
Relative Humidity
PAR Sensor
QC'd Data Return
Data Download

Air-Sea Interaction
Latent Heat Flux
1-day 2-day 4-day 7-day 14-day 30-day
Sensible Heat Flux
1-day 2-day 4-day 7-day 14-day 30-day
Wind Stress Magnitude
1-day 2-day 4-day 7-day 14-day 30-day
Sea-Air Temperature Difference
1-day 2-day 4-day 7-day 14-day 30-day
Data Download

Engineering
Signal Strength
Ping Count
Battery Voltage
Tilt
QC'd Data Return

About this product:

Latent heat flux is the non-radiative flux of heat from the earth's surface to the atmosphere that is associated with the evaporation of water vapor at the surface and subsequent condensation of water vapor in the troposphere. Over warm water latent heat moistens the lower troposphere. It is "latent" becasue it is stored in the internal energy of the water molecules that is later released during condensation.

The convention of Sellers(1965) and Oke(1987) is followed, i.e., non-radiative fluxes directed away from a surface are positive. Thus positive values indicate a loss of heat from the ocean and negative values indicate a gain. Evaporation is a cooling process for the ocean becasue energy is removed from the water as molecules escape the surface. This casues the surface temperature to decrease.

Calculations are made using the TOAGA/COARE equations of Fairall (1996) coded by Pawlowicz, Beardsley, Lentz, Dever, & Anis into version 2.0 of the MATLAB toolbox AIRSEA (http://www.agu.org/eos_elec/00179e.html). The input variables are the east and north wind components measured at 3 m above the surface, the east and north ocean surface currents measured at 2 m below the surface, the air temperature, air pressure and relative humidity measured at 3 m above the surface, and the sea surface temperature measured at 2 m below the surface.

Time: All of the graphs on the page share the same time axis which is located on the bottom of each graph. The time step of the data is half-hourly. As you move from left to right along the time axis, you are moving forward in time. Time is always given in UTC (Universal Coordinated Time).

Data that have passed quality control standards are plotted in blue. Interpolated data are plotted in red.

When there are gaps of no more than 90 minutes, the missing data is linearly interpolated across the gap. When the gap is longer than 90 minutes but less than two days, the missing data is interpolated with a spectral procedure based on the Lomb periodogram that was developed in house.

The first plot shows the quality controled data without any filtering. The second plot shows the three-hour filtered data which eliminates much of the noise. The third plot shows the 40-hr filtered data which is intended to show the long-term response.