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TAO Refresh Mooring Sensors The TAO Refreshed System transitioned to a commercial off the shelf sensor and a satellite system (Iridium), already proven within NDBC's coastal and offshore weather and oceanographic buoy systems, that will allow the Array to meet requirements for hourly resolution time series data and high-frequency weather phenomena. The new data collection and communications systems will provide in real-time the comprehensive data that was normally only-available once the sensors are recovered every 12 months. The most cost-effective approach for sensor replacement was to use sensors time-tested and proven in the Triangle Trans-Ocean Buoy Network (TRITON) Array developed and operated by the Japan Marine Science and Technology Center (JAMSTEC).
The instrumental accuracies listed below are based on pre-deployment calibrations. The post deployment calibrations and the root mean square drift of a group of sensors is still being determined for Refresh Ocean Temperature Sensors (SBE39). Manufacture and initial tests indicate the drift to be small. The Wind sensors, Air Temperature\Relative Humidity (AT\RH) sensor, Sea Surface Temperature\Conductivity (SSC) sensors, Long Wave Radiations (LWR), and Short Wave Radiation sensor (SWR) and Point Source Current Sensors are the same sensors used on the TAO Legacy buoys. Determinations of instrumental accuracies conducted by PMEL are used for Refresh. The accuracies listed are based on pre-deployment and post-recovery calibrations and are the root mean square drift of a group of sensors.
1 Surface salinity measured at all sites. Subsurface capability available at selected sites at depths 10, 20, 40, 60, 80 or 10, 25, 75, 100, 125 m. 2 For point velocity measurements, current meters shall be placed at 1 to 5 depths in the upper 200 m with at least one within 10 m of the surface. Current should be measured at all flux reference sites and at other selected sites. 3 At flux reference sites only. 4 Required only if an outside agency provides longwave radiation and rain sensors. 5 SBE 37 Micro CAT and SBE 39’s thermistor accuracy and stability (typical drift is less than 0.002 °C per year). 6 Subsurface temperature available at 10 depths on mooring. 7 The SBE 39’s optional pressure sensor, developed by Druck, Inc., Compensation of the temperature influence on pressure offset and scale is performed by the SBE 39’s CPU. 8 Sensor in use on Legacy ATLAS moorings. 9 Salinity is computed from measurements of temperature, pressure, and conductivity using the Practical Salinity Scale (PSS-78) and therefore salinity error is a function of the errors in the measurement of temperature, pressure and conductivity. For NDBC TAO Refresh, conductivity and temperature are measured on TAO refresh buoys near the ocean surface and salinity is computed using an assumed pressure at nominal depth, with pressure error assumed to be zero. Conductivity and temperature accuracies are as stated for the SBE-37 Conductivity-Depth Sensor. In computing salinity using PSS-78, temperature must first be converted to temperatures based on the International Practical Temperature Scale (IPTS-68) on which the PSS-78 is based. The TAO Refresh Conductivity-Temperature sensor measures temperature in the International Temperature Scale (ITS-90) and is reported in ITS-90. In computing salinity, temperature is converted from the ITS-90 to IPTS-68 prior to the salinity computation. 10 Accuracy to be determined. NextGeneration ATLAS Mooring Sensors The table below identifies the types of sensors used on NextGeneration ATLAS moorings and lists their accuracies. Most instrumental accuracies listed are based on pre-deployment and post-recovery calibrations and are the root mean square drift of a group of sensors. Mechanical current meters and current profilers accuracies are based on intercomparisons between co-located instruments. References where available are indicated by [#] in the comments column and listed at the end of the tables. Accuracies of sensors which are new to ATLAS moorings (longwave radiation, barometric pressure) or which have not yet been evaluated (water pressure) are those specified by the manufacturer and are indicated by [M]. In cases where sensors are paired with PMEL
supplied electronics (e.g., analog to digital boards)
calibrations include both the sensor and PMEL
electronics. Accuracies listed here (with the
exception of currents) do not include environmental
factors such as wind (on rainfall) or buoy motion (on
radiation). Measurement ranges listed are generally
those over which the sensors are calibrated. The
ranges over which a sensor will operate (determined
by the sensor and/or PMEL electronics) are listed in
parenthesis if they significantly exceed the
calibration range. A comparison of ATLAS, TRITON, and Improved
METeorological (IMET) mooring meteorological sensors
from a land-based intercomparison study at the Woods
Hole Oceanographic Institution in May-June 2000 shows
that in general the three systems measure to
equivalent standards of accuracy. The full report of
this intercomparison is contained in footnote [13]
below.
References: [1] Fairall, C. W., P. O. G. Persson, E.F.
Bradley, R. E. Payne and S. P. Anderson, 1998: A new
look at calibration and use of Eppley Precision
Radiometers. Part I: Theory and Application. J.
Atmos. Ocean. Tech., 15, 1229-1242. [2]
Freitag, H.P., Y. Feng, L.J. Mangum, M.P. McPhaden,
J. Neander, and L.D. Stratton, 1994: Calibration
procedures and instrumental accuracy estimates of TAO
temperature, relative humidity and radiation
measurements. NOAA Tech. Memo. ERL PMEL-104,
32 pp. [3]
Freitag, H.P., M.E. McCarty, C. Nosse, R. Lukas, M.J.
McPhaden, and M.F. Cronin, 1999: COARE Seacat data:
Calibrations and quality control procedures. NOAA
Tech. Memo. ERL PMEL-115, 89 pp. [4] Halpern, D., 1987: Comparison of upper
ocean VACM and VMCM observations in the equatorial
Pacific. J. Atmos. Ocean. Tech., 4,
84-93. [5] Plimpton, P.E., H.P. Freitag, and M.J. McPhaden, 1995: Correcting moored ADCP data for fish-bias errors at 0°,110°W and 0°,140°W from 1990 to 1993. NOAA Tech. Memo. ERL PMEL-107, 49 pp. [6] Serra, Y.L., P.A'Hearn, H.P. Freitag, and M.J. McPhaden, 2001: ATLAS self-siphoning rain gauge error estimates. J. Atmos. Ocean. Tech.,18, 1989-2002. [7]
Freitag, H.P., M. O'Haleck, G.C. Thomas, and M.J.
McPhaden, 2001: Calibration procedures and
instrumental accuracies for ATLAS wind measurements.
NOAA. Tech. Memo. OAR PMEL-119, NOAA/Pacific Marine
Environmental Laboratory, Seattle, Washington, 20
pp.
[8] McCarty, M.E., and M.J. McPhaden, 1993: Mean seasonal cycles and interannual variations at 0, 165E during 1986-1992. NOAA Tech. Memo. ERL PMEL-98, 64pp. [9] A'Hearn, P.N., H.P. Freitag, and M.J. McPhaden, 2002: ATLAS module temperature bias due to solar heating. NOAA Tech. Memo OAR PMEL-121, NOAA/Pacific Marine Environmental Laboratory, Seattle, WA, 24 pp. [10] Freitag, H.P., M.J. McPhaden, C.Meinig, and P.Plimpton, 2003: Mooring motion bias of point Doppler current meter measurements. In: Proceedings of the IEEE Seventh Working Conference on Current Measurement Technology, San Diego, CA, 13-15 March 2003, IEEE, Piscataway, NJ, 155-160. [11] Plimpton, P.E., H.P. Freitag, and M.J. McPhaden, 2004: Processing of subsurface ADCP data in the equatorial Pacific. NOAA Tech. Memo OAR PMEL-125, NOAA/Pacific Marine Environmental Laboratory, Seattle, WA. 41pp. [12] Lake, B.J., S.M. Noor, H.P. Freitag, and M.J. McPhaden, 2003: Calibration procedures and instrumental accuracy estimates of ATLAS air temperature and relative humidity measurements. NOAA Tech. Memo. OAR PMEL-123, NOAA/Pacific Marine Environmental Laboratory, Seattle, WA, 23 pp. [13]
Payne, R.E., K. Huang, R.A. Weller, H.P. Freitag,
M.F. Cronin, M.J. McPhaden, C. Meinig, Y. Kuroda, N.
Ushijima, R.M. Reynolds, 2002: A comparison of buoy
meteorological systems. WHOI Technical Report |
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