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Earth Science | Atmosphere | Atmospheric Temperature | Air Temperature

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    Sea surface temperature data, in DISIMP images, from NOAA Advanced Very High Resolution Radiometer (AVHRR) data received at the ACRES station in Alice Springs. Data starts from Apr. 1991, and is calculated using an objective analysis procedure written in IDL. The images cover the Australian continent and surrounding oceans. The data are contained on CDROMs in Hobart.

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    Sea surface temperature data, in netCDF format, from NOAA Advanced Very High Resolution Radiometer (AVHRR) data, processed in Hobart by the CMR Remote Sensing Facility. The dataset includes both the Pathfinder SST daily images, and the optimal estimates (and error fields) made from them, at 10-day intervals. Data starts from Jan. 1988, and is calculated using an objective analysis procedure written in Matlab. The images cover the Australian continent and surrounding oceans. The data are contained on 7 CDROMs in Hobart.

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    Sea surface temperature data (daily and weekly composites) from NOAA Advanced Very High Resolution Radiometer (AVHRR) data received at the Hobart station and processed at CSIRO Marine Research Remote Sensing Facility. The images cover an area from 21.3 to 50.0 degrees South, 130.3 to 167.0 East. The images correspond to the regions and time periods of Southern Surveyor research voyages SS 01/95, SS 11/95, SS 05/96 and SS 11/96, in south-eastern and east Australian waters. The data are contained on CDROM in Hobart, and copies are sent to GRNS (and others?). The Global Research Network System (GRNS) project was carried out between 1993-1997 sponsored by the Japanese Science and Technology Agency (STA).

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    Sea surface temperature data, in "Serov" DISIMP images, from Advanced High Resolution Radiometer (AVHRR) data received at the Hobart station. The AVHRR is mounted on the NOAA polar-orbiting satellites. Data starts from July 1991. The images cover the "BIGTAS" area, which is bounded by Serov coordinates 14801,8922,15801,9922. The data are contained on CDROMs in Hobart.

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    Sea surface temperature data, in DISIMP images, from NOAA Advanced Very High Resolution Radiometer (AVHRR) data received at the ACRES station in Alice Springs. Data starts from Feb. 1991, and includes day passes only, from various NOAA satellites. SST is calculated using the NLSST (non-linear SST) algorithm, and composited to monthly images. The images cover the Australian continent and surrounding oceans. The data are contained on CDROMs in Hobart.

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    Sea surface temperature data, in "Serov" DISIMP images, from NOAA Advanced Very High Resolution Radiometer (AVHRR) data received at the Hobart station. Data starts from Jul. 1991. The images cover the "EAST" area, which is bounded by Serov coordinates 15300,7801,16018,9520. The data are contained on CDROMs in Hobart.

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    The CSIRO versions of the BOM (Bureau of Meteorology Australia) Australian Temperature datasets are a concatenation of the individual monthly Temperature datasets into a single contiguous netcdf file for the time period 1900-2007 with a spatial resolution of .25° x .25°. The variables tav(Average Temperature), tmax (Maximum Temperature), tmin (Minimum Temperature) & tdtr (Diurnal Temperature Range) are available for the whole of Australia and also as a subset for the Murray Darling Basin. These have also been processed to include calculated Anomaly, Climatology, and Seasonal datasets available for Australia. There are approximately 17 files for Temperature data totalling 921.32 MB.

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    Sea surface temperature images (SST) from Advanced High Resolution Radiometer (AVHRR) data from the NOAA polar-orbiting satellites are combined with drifter buoy data to create animations showing buoy movements on the changing SST field. The data are contained on one CDROM in Hobart.

  • This water quality time-series dataset was collected between late August 2017 and Mid March 2018 as the primary deliverable of a the Gold Coast Triathlon Monitoring Project between Gold Coast City Council and CSIRO. Data was collected by a suite of instruments deployed onto a CSIRO-owned buoy that was moored in the Broadwater lagoon in the planned location of the Triathlon event of the 2008 Commonwealth Games. The instrument output was sampled at 10 minute intervals by a Campbell Scientific data logger and stored in logger memory. CSIRO Coastal Monitoring sensor-data service polled the logger at regular intervals to fetch the latest data for visualisation and analysis. This dataset consists of the raw data accumulated by the CSIRO Coastal Monitoring sensor data service. It is raw data, and has not been cleaned of any glitches or adjusted to allow for calibration changes. This dataset contains time series data from the following instruments: ====================================================== EXO Sonde built-in data sources: ------------------------------------------ 1.a EXO_BatV => Battery voltage for the EXO Sonde power source. 1.b EXO_Depthm => Water depth in metres (m) Measured using a differential strain gauge transducer measures pressure with one side of the transducer exposed to the water and the other side exposed to a vacuum. Initially calibrated in Atmosphere: output can be affected by local barometric pressure, water density and temperature. EXO Wiped Conductivity and Temperature Sensor: ---------------------------------------------------------------- Ref: https://www.ysi.com/WipedCT 2.a EXO_TempC => Water Temperature in degrees celsius. Direct measurement using a thermistor-type sensor. 2.b EXO_SpCondmScm => Specific Conductance in milli-siemens per centimetre (ms/cm). Measured via a 4-electrode nickel-cell sensor, using a calibrated cell constance to convert absolute conductance to specific. Compensated to a 25 degree reference temperature. 2.c EXO_Salpsu => Salinity in Practical Salinity Units (PSU) Calculated from the conductivity and temperature readings according to algorithms found in Standard Methods for the Examination of Water and Wastewater (ed. 1989) PSU measurements are in reference to the conductivity of standard seawater at 15 °C. EXO Turbidity Smart Sensor ----------------------------------- Ref: https://www.ysi.com/Product/id-599101-01/EXO-Turbidity-Smart-Sensor 3.a EXO_TurbFNU => Turbidity in formazin nephelometric units (FNU) Measured by detection of scattering at 80 degrees of a near-infrared light source. 3.b EXO_TurbNTU => Turbitidy in nephelometric turbidity units (NTU) Calculated from the Turbidity FNU via a calibrated conversion factor. 3.c EXO_TSSmgL => Total Suspended Solids in milligrams per Litre (mg/L) Calculated from the Turbidity FNU value via a calibrated conversion factor. EXO pH and OPR Smart Sensor ---------------------------------------- Ref: https://www.ysi.com/Product/id-599706/EXO-pH--ORP-Smart-Sensor 4.a EXO_pHmV => Potential difference (in mV) across the pH sensor electrode. Measured using a glass combination electrode with a stable solution of known pH on the inside and the sample being measured on the outside. 4.b EXO_pH => pH in standard pH Units where 7.0 is neutral; < 7 is acidic; > 7 is alkaline. Calculated from the pHmV measurement. 4.c EXO_ORPmV => Oxidising-Reducing Potential of the water sample in millivolts (mV) Measured using a platinum button electrode. Detects high concentrations of redox-active species including metal salts, chlorine, sulfite ions etc. Refects all dissolved species in the medium: requires site-specific information to determine which are present. EXO Optical Dissolved Oxygen Smart Sensor --------------------------------------------------------- Ref: https://www.ysi.com/Product/id-599100-01/EXO-Optical-Dissolved-Oxygen-Smart-Sensor 5.a EXO_DOmgL => Dissolved Oxygen in milligrams per Litre Measured using an optical luminescence sensor 5.b EXO_DOPerSat => Dissolved Oxygen as % saturation. Calculated from the raw DO measurement, corrected for temperature and local barometric pressure at the time of callibration. ( local mmHg / 760 mmHg ) x 100 = %Sat EXO Total Algae PE Smart Sensor ------------------------------------------- Ref: https://www.ysi.com/Product/id-599103-01/EXO-Total-Algae-PE-Smart-Sensor Note: The Algal sensors have NOT been completely calibrated to local conditions. This data may be used as an estimate of comparative concentrations, but should not be relied on as a numerical value for testing against a threshold. 6.a EXO_ChlRFU => Chlorophyll concentration in Relative Fluorescence Units (RFU) Measured using an optical fluorescence sensor with a blue excitation beam that excites the chlorophyll molecure present in all photosynthetic cells. Calibrated relative to a stable secondary standard, such as Rhodamine WT dye. 6.b EXO_ChlugL => Chlorophyll concentration in micro-grams per Litre (µg/L) Calculated estimate of chlorophyll pigment concentration. Not correlated to local conditions: use for comparison purposes only. 6.c EXO_BGAPERFU => Phycoetherin Concentration in Relative Fluorescence Units Measured using an optical fluorescence sensor with an orange excitation beam that excites the phycoetherin accessory pigment found in saltwater blue-green algae (cyanobacteria). Calibrated relative to a stable secondary standard, such as Rhodamine WT dye. 6.d EXO_BGAPEugL => Phycoetherin Concentration in micro-grams per Litre (µg/L) Calculated estimate of phycoetherin pigment concentration. Not correlated to local conditions: use for comparison purposes only. EXO fDOM Sensor ----------------------- Ref: https://www.ysi.com/Product/id-599104-01/EXO-fDOM-Smart-Sensor 7.a EXO_fDOMRFU => Fluorescent Dissolved Organic Matter concentration in Relative Fluorescence Units (RFU) Measured using an optical fluorescence sensor which detects fluorescence associated with dissolved organic matter exposed to near-ultraviolet light. Measurement is relative to the fluorescence of quinine sulfate, which, in acid solution, fluoresces similarly to dissolved organic matter 7.b EXO_fDOMQSU => Fluorescent Dissolved Organic Matter concentration in Quinine Sulfate Units (1 QSU => 1 part-per-billion Qunine Sulfate) Calculated from the EXO_fDOMRFU Measurement Flow / Current Meter -------------------------- Data values are the average value over the previous sample interval, unless indicated otherwise. 8.a ABSSpd_Avg => Absolute current speed in meters per second (m/s) 8.b NorthCur_Avg => Northward current velocity in meters per second (m/s) 8.c EastCur_Avg => Eastward current velocity in meters per second (m/s) 8.d Heading_Avg => Current meter heading in compass degrees 8.e Direction_Avg => Current direction in compass degrees 8.f AbsTilt_Avg => Absolute tilt in degrees from the horizontal 8.g TiltX_Avg => Tilt in the X-plane (across the current) in degrees from the horizontal 8.h TiltY_Avg => Tilt in the Y-plane (aligned with current) in degrees from the horizontal 8.i MaxTilt_Avg => Maximum absolute tilt during the sample interval, in degrees from the horizontal 8.j StdTilt_Avg => Standard deviation of absolute tilt during the sample interval, in degrees from the horizontal 8.k SPstd_Avg 8.l SigStrength_Avg 8.m PingCnt_Avg GillMX10 Weather Station -------------------------------- 9.a Gill_Ws_Mean => Mean wind speed during the previous sample interval, in meters per second (m/s) 9.b Gill_Wd_MeanUnitVector => Mean wind direction during the previous sample interval, in compass degrees 9.c Gill_Wd_StdDev => Standard deviation of wind direction during the previous sample interval, in compass degrees 9.d Gill_WindSpd_Max => Maximum wind speed during the previous sample interval, in meters per second (m/s) 9.e Gill_Temperature_Avg => Average air temperature during the previous sample interval, in degrees Celcius 9.f Gill_RH => Relative Humidity at the sample time, in % 9.g Gill_Pressure => Atmospheric pressure at the sample time, in hecto-pascals (hPa) 9.h Gill_Rain_mm_Tot => Cumulative rainfall during the previous sample interval (mm) 9.i Gill_TotalRain_mm => Cumulative rainfall in millimetres (mm) for the 24 hours to 10 AM AEST ( => 9AM AEDT to match the BOM cutoff) 9.j Gill_TotalDailyRain_mm => Cumulative rainfall in millimetres (mm) for the 24 hours to midnight AEST 9.k Gill_DewPoint_Avg => Average dewpoint during the previous sample interval, in degrees Celcius 9.l Gill_SRad_Avg => Average solar radiance during the previous sample interval watts per square meter 9.m Gill_SunHours_Avg => Average hours of sunlight during the previous sample interval in hours 9.n Gill_Latitude => Latitude of the weather station, in decimal degrees 9.o Gill_Longitude => Longitude of the weather station, in decimal degrees 9.p Gill_Time => ISO Day of the month The following known events may have caused shifts in sensor calibration: ========================================================== Note: The CWQM buoy was used as an anchor for the SAFA instrument that was involved in collecting microbial monitoring data for a seperate deliverable of this project. Retrieving and deploying the SAFA instrument required the CWQM buoy to be tilted, which may have briefly disrupted the CWQM Sensors. CWQM Instruments were checked and cleaned during the SAFA collection trips. All times are AEST (+10:00) 2017-08-03 15:00 => Initial deployment of CWQM buoy and instruments: lon=153.4139, lat=-27.9573 2017-10-05 08:20 => Recalibration & restart 2017-10-12 22:10 => Power interruption (reason unknown) 2017-11-02 12:10 => SAFA instrument removal 2017-11-29 07:50 => SAFA instrument redeployed 2017-12-01 12:00 => SAFA samples collected, instrument redeployed 2017-12-11 15:30 => SAFA samples collected, instrument redeployed 2017-12-15 19:53 => SAFA samples collected, instrument redeployed 2017-12-21 13:10 => SAFA samples collected, instrument redeployed 2018-01-02 16:40 => GillMX10 Weather Station Damaged (suspected lightening or hail strike) 2018-01-03 11:00 => SAFA samples collected, instrument redeployed, instrument removed 2018-01-08 07:30 => SAFA instrument redeployed 2018-01-10 07:50 => SAFA samples collected, instrument removed. 2018-01-10 08:45 => GillMX10 Weather station replaced 2018-02-01 10:30 => Cleaning and Calibration 2018-02-23 08:30 => Relocate to Coast Guard Pontoon for Luke Harrop Memorial Triathlon: lon=153.4101,lat=-27.9557 2018-02-25 16:30 => Relocate back in position: lon=153.4139, lat=-27.9573 2018-03-14 09:00 => CWQM Buoy Removed

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    The CSIRO archive of the Australian Bureau of Meteorology Global Analysis and Prediction (GASP) global gridded analysis datasets for the period from 1998 until present. The Global AnalysiS Prediction model uses spectral numerical analysis techniques to provide 6-hourly (00,06,12,18) variables at 60 levels from the surface to 10 hPa with a resolution of 1 deg (approximately 85 km horizontal resolution). Datasets have been tarred into single monthly archives with the following file following folder convention [ /YYYY/YYYYMM.tar (YY=year, MM=month)], with each monthly file being approximately 6-7 MB totaling 75.9 GB per year. Datasets are in netcdf format and are continuously updated.