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Showing results for: [ Climate Change Processes ]
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2017_v02, titled "SOTS: Southern Ocean Time Series automated moorings fo... morer climate and carbon cycle studies southwest of Tasmania." The voyage took place from Hobart (TAS) to Hobart between March 16 and March 27, 2017. Supplementary project: "International Nutrient Intercalibration Exercise." Supplementary project: "Spatial and Temporal Variability in the Distribution and Abundance of Seabirds." Piggy-back project: "Trace Element Cycling." For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75 KHz), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Ultra Short BaseLine Underwater Positioning System (USBL), Starboard and Portside Radiometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Thermosalinographs, CTD, Hydrochemistry. Voyage-specific measurements: Bird Observations, Lowered Acoustic Doppler Current Profiler (LADCP), Multiangle Absorption Photometer (MAAP), Nephelometer, pCO2, Triaxus, Ultra-Short Base Line (USBL). The archive for the IN2017_V02 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 15 Sep 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2016_t03, titled "Transit Brisbane to Sydney." The voyage took place fro... morem Brisbane (QLD) to Sydney (NSW) between November 18 and November 21, 2016. For further information refer to the Voyage documentation links below. Data collected include: Multibeam Echosounder (EM710, EM122), GPS Positioning System. The archive for the IN2016_T03 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
This record describes the End of Voyage archive from the Marine National Facility (MNF) RV Investigator voyage IN2016_T01, titled: "Continuity of Australian terranes into Zealandia: towards a geologic... moreal map of the east Gondwana margin." The voyage took place from Laukota (Fiji) to Hobart (TAS) between June 30 and July 13, 2016. For further information refer to the Voyage documentation links below. Data collected include: Underway (UWY), Acoustic Doppler Current Profiler (ADCP: 75KHz, 150 KHz), CTD and Hydrology, Gravity, Atmospheric (Absorption Photometer, Nephelometer, Oxygen, Ozone, Radon), Greenhouse (Aerodyne and Picarro), pCO2, Echosounders EK60 (12, 18, 38, 120, 200, 333 KHz), Bridge (200 KHz), Multibeam (EM122, EM710, ME70 and SBP120). Voyage-Specific data: XBT; LADCP; Doppler Velocity log; ACSM (Aerosol Chemical Speciation Monitor); APS (Aerodynamic Particle Sizer Spectrometer ); CCN (Cloud Condensation Nuclei); CPC (Condensation Particle Counter); MRR (Molecular Rotational Resonance Spectroscopy); MWR (Microwave Radiometer 23 and 31GHz); NAIS (Neutral Cluster Air Ion Spectrometer); PHINS INS (Photonic Inertial Navigation System); PTR-MS (Proton Transfer Reaction Mass Spectrometer); SEQ (Sequencer); VHTDMA (Volatility Hygroscopicity Tandem Differential Mobility Analyser); Temperature Loggers. The archive for the IN2016_T01 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 25 Sep 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2016_E01, titled: "East Tasman Plateau – key to unravelling the onset o... moref the Antarctic Circumpolar Current / MNF Equipment Sea Trials." The voyage took place from Hobart (TAS) to Hobart between August 17 and August 22, 2016. For further information refer to the Voyage documentation links below. Data collected include: Standard Underway (UWY), Acoustic Doppler Current Profiler (ADCP: 75KHz, 150 KHz), CTD, Gravity, SST Radiometer, Atmospheric (Absorption Photometer, Ozone, Radon), Greenhouse (Picarro, pCO2), and Echosounders: EK60 (12, 18, 38, 120, 200, 333 KHz), Bridge (200 KHz), Multibeam (EM122, EM710, and SBP120). Voyage-specific data: XBT, Disdrometer (rain droplet size), Dredges and Rock-samples (approximately 700 kg stored at UTAS), CCN (Cloud Condensation Nuclei), MAAP (Multi Angle Absorption Photometer), SMPS (Scanning Mobility Particle Sizer), and Weather Radar (failed on August 19th). The archive for the IN2016_E01 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 16 Sep 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2017_e02, titled "Gear Trials." The voyage took place from Hobart (TAS) ... moreto Hobart between March 31 and April 2, 2017. For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75 KHz), Fisheries echosounder (EK60, ME70), Multibeam Echosounder (EM710, EM122), Gravimeter, GPS Positioning System, Doppler Velocity Log, Starboard and Portside Radiometers, Air Pressure, Wind Speed and Direction sensors, Thermosalinographs, CTD, Hydrochemistry. The archive for the IN2017_E02 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2017_e01, titled "MNF Equipment Sea Trials." The voyage took place from ... moreHobart (TAS) to Hobart between January 6 and January 9, 2017. For further information refer to the Voyage documentation links below. Data collected include: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), GPS Positioning System, Doppler Velocity Log, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Thermosalinographs. Voyage Specific data: Cloud Condensation Nuclei counter (CCN), Nephelometer, Multiangle Absorption Photometer (MAAP). The archive for the IN2017_E01 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2016_v05, titled "The Great Barrier Reef as a significant source of clim... moreatically relevant aerosol particles." The voyage took place from Brisbane (QLD) to Brisbane between September 28 and October 24, 2016. This voyage consisted of three legs. Leg 1 started from Brisbane on September 28 and finished in Fitzroy Island on October 11. Leg 2 started in Fitzroy Island on October 11 and finished in Magnetic Island on October 16. Leg 3 started in Magnetic Island on October 16 and finished in Brisbane on October 24. Supplementary project: Biogeochemical and optical properties of the Coral Sea and Queensland shelf. Piggy-back project: Project 3DGBR - Multibeam bathymetry mapping of the Great Barrier Reef and Coral Sea. For further information refer to the Voyage documentation links below. Data collected include: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravity Meter, GPS Positioning System, Doppler Velocity Log, Starboard and Portside Radiometers, Pyranometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Thermosalinograph, CTD, Expendable Bathythermographs (XBTs). Voyage-specific data: Aerosol Aerodynamic Particle sizer (APS), Aerosol Chemical Speciation Monitor (ACSM), Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN, ccnc), Gravity Meter, Hydrochemistry, Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Microwave Radiometer (MWR), Multiangle Absorption Photometer (MAAP), Nephelometer, pCO2 sensor, Scanning Mobility Particle Sizers (SMPS), Surface Velocity Program Drifters (SVP), Triaxus, ECO Triplet, Laser Optical Particle Counter (LOPC), Submersible Ultraviolet Nitrate Analyser (SUNA), Video. The archive for the IN2016_V05 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 31 Jul 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2016_v04, titled "Influence of temperature and nutrient supply on the bi... moreogeochemical function and diversity of ocean microbes." The voyage took place from Sydney (NSW) to Brisbane (QLD) between August 31 and September 22, 2016. Main project: Influence of temperature and nutrient supply on the biogeochemical function and diversity of ocean microbes. Supplementary project: Natural iron fertilisation of oceans around Australia: Linking terrestrial dust and bushfires to marine biogeochemistry. For further information about these projects please refer to the Voyage Plan and Voyage Summary. Data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries Echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Radiometers, Pyranometers, Radon, Weather Radar, Greenhouse gas analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction, Photosynthetically Active Radiation (PAR), Ozone, Thermosalinographs, CTD, Expendable Bathythermographs (XBTs). Voyage Specific measurements: Condensation Particle Counters (CPC), Cloud Condensation Nuclei Counter (CCN, ccnc), Gravity Meter, pCO2, Hydrochemistry, Scanning Mobility Particle Sizers (SMPS), PAM fluorometer, Dissolved Inorganic Carbon (DIC), EZnet, Triaxus. The archive for the IN2016_V04 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the MNF RV Investigator IN2016_V04 voyage.less
Marine National Facility - End of Voyage (EOV) Data - Published 07 Aug 2017
This record describes the End of Voyage archive from the Marine National Facility (MNF) RV Investigator voyage IN2016_V01, titled: "HEOBI: Heard Earth-Ocean-Biosphere Interactions." The voyage took ... moreplace from Fremantle (WA) to Hobart (TAS) between January 7 and February 27, 2016. For further information refer to the Voyage documentation links below. Data collected include: Acoustic Doppler Current Profiler (ADCP: 150 KHz and LADCP), CTD and Hydrology, Gravitometer, SST Radiometer, Absorption Photometer, Nephelometer, Ozone, Radon, Greenhouse (Aerodyne and Picarro), and pCO2 sensors, Fisheries Echosounder (EK60), Bridge Echosunder (200 KHz), Multibeam Echosounder (EM122, EM710, ME70 and SBP120), CTD/Hydrology and Expendable Bathythermographs (XBTs). Voyage-specific data include: Trace Metal Rosette (TMR), Triaxus, Ultra-Short Base Line (USBL) positioning system, Video, Scanning Mobility Particle Size (SMPS), Liquid Scintillation counter (Hidex), Laser Optical Particle Counter (LOPC), Disdrometer (rain droplet size), Rock-samples, Aerosol Trace Elements, Biological Samples, Dissolved Trace Elements, Equilibrator Inlet Mass Spectrometer (EIMS), Fluorescence Induction and Relaxation instrument (FIRe), submersible ultra-violet spectrometric nitrate detector (ISUNA), Miniature Autonomous Plume Recorder (MAPR), Microbial activity and diversity, miniaturized water sampler (Minimone), Particulate Trace Elements, Radiogenic isotope analysis samples, Wildlife observations and Argo float deployments. The archive for the IN2016_V01 EOV data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive located at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 14 Aug 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility RV Investigator research voyage in2016_v03, titled "Monitoring Ocean Change and Variability along 170 W from the... more ice edge to the equator." The voyage consisted of two legs: Leg 1 from Hobart (TAS) to Wellington (NZ) between April 27 and May 26, and Leg 2 from Wellington (NZ) to Lautoka (Fiji) from April 27 to June 28, 2016. Main project: "Monitoring Ocean Change and Variability along 170oW from the ice edge to the equator." Supplementary project: "Facing the challenges of under-ice for autonomous navigation." For further information refer to the Voyage documentation links below. Data collected include: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz and LADCP), Scanning Mobility Particle Sizers (SMPS), Disdrometer, Oxygen, Radon, and Greenhouse (Aerodyne and Picarro) sensors, CTD, Hydrochemistry, Gravitometer, Fisheries Echosounder (EK60), Multibeam Echosounder (EM122, EM710, SBP120), Weather Radar, XBT. Voyage-specific data include: Sea-ice measurements, Aerosol Chemical Speciation Monitor (ACSM), Aerosol Aerodynamic Particle sizer (APS), Carbon sensor, Cloud Condensation Nuclei counter (CCN), Chlorofluorocarbons/Sulfur Hexafluoride/Nitrogen Oxides sensor(CFC SF6 Nox), Turbulence Chipods, Condensation Particle counter (CPC), Micro Rain Radar (MRR), Microwave Radiometer (MWR), Neutral cluster Air Ion Spectrometer (NAIS), Proton-transfer-reaction mass spectrometer (PTR-MS), FOG-based High-performance Inertial Navigation System (PHINS INS), Volatile Organic Compounds (VOC) sensor, Gas Chromatograph (SEQ), Volatility-Hygroscopicity Tandem Differential Mobility Analyser (VHTDMA). The archive for the IN2016_V03 EOV data is curated by the CSIRO Oceans and Atmosphere Data Centre in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the Marine National Facility RV Investigator IN2016_V03 voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 13 Aug 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility RV Investigator research voyage in2016_v02, titled 'SOTS: Southern Ocean Time Series automated moorings for clim... moreate and carbon cycle studies southwest of Tasmania.' The voyage took place from Hobart to Hobart between March 14 and April 16, 2016. For further information refer to the Voyage documentation links below. Data collected include: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz and LADCP), Scanning Mobility Particle Sizers (SMPS ), Disdrometer, Radon and Greenhouse (Aerodyne and Picarro) sensors, CTD, Hydochemistry, Gravitometer, pCO2 sensor, Fisheries Echosounder (EK60), and Multibeam Echosounder (EM122, EM710 and SBP120). Voyage-specific data include: Laser Optical Particle Counter (LOPC), Trace-Metal Clean Rosette (TMR), FIRe and SUNA on Triaxus, McLane Pumps, Plankton Nets, RESPIRE Sediment Trap, Aerosol Chemical Speciation Monitor (ACSM), Cloud Condensation Nuclei counter (CCN), Proton-transfer-reaction mass spectrometry (PTR-MS), Aerosol Aerodynamic Particle sizer (APS), Continuous Flow Thermal Gradient Diffusion Chamber (CFDCAir), Wide-band Integrated Bioaerosol Sensor (WIBS), Volatility-Hygroscopicity Tandem Differential Mobility Analyzer (VHTDMA), nano SMPS, NOAA Flux Probe, Moorings, Radiosondes, AVISO Satellite Altimeter, Time-of-Flight Aerosol Chemical Speciation Monitor (ToF-ACSM), Proton Transfer Reaction Mass Spectrometer (PTRMS). Three SOCCOM floats were deployed. The archive for the IN2016_V02 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive located at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 09 Aug 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2016_e02, titled "MNF Equipment Sea Trials." The voyage took place from ... moreSydney (NSW) to Hobart (TAS) between December 15 and 19, 2016. For further information refer to the Voyage documentation links below. Data collected include: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries echosounder (EK60, ME70), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Ultra Short BaseLine Underwater Positioning System (USBL), Starboard and Portside Radiometers, Pyranometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Thermosalinographs. Voyage Specific data: Nephelometer, Cloud Condensation Nuclei counter (CCN), pCO2, Ultra-Short Base Line (USBL), DECAF (Deep Water Calibration Facility), Video. The archive for the in2016_e02 raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.less
Marine National Facility - End of Voyage (EOV) Data - Published 28 Jul 2017
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator Transit voyage in2016_t02, titled "Natural iron fertilisation of oceans around Australia: ... morelinking terrestrial dust and bushfires to marine biogeochemistry." The voyage took place from Hobart (TAS) to Sydney (NSW) between August 25 and August 29, 2016. Data collected during the voyage includes: (1) Acoustic Systems and Navigation: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries echosounder EK60, Multibeam Echosounder - EM710, EM122, Sub-bottom Profiler - SBP120, GPS Positioning system, Doppler Velocity Log. (2) Underway: Starboard and portside Radiometers, Pyranometers, Radon, Oxygen, CTD, XBTs (Expendable Bathythermographs), Weather Radar, Greenhouse gas analysers - Aerodyne and Picarro, air pressure, wind speed and direction, PAR (Photosynthetically Active Radiation), Ozone, Thermosalinographs, (3) Voyage Specific: CPC: Condensation Particle Counters; CCN: Cloud Condensation Nuclei Counter; Gravity Meter; MAAP: Multiangle Absorption Photometer; SMPS: Scanning Mobility Particle Sizers; ISAR: Infrared Sea Surface Temperature Autonomous Radiometer. The EOV, XBT and Bridge logs were supplied and archived in pdf. ELOG files were generated as .csv and archived. All voyage documentation is available electronically to MNF support via the local network "global_docs." Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au. The archive for the IN2016_T02 EOV data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the MNF RV Investigator IN2016_T02 voyage.less
ClimKaddo – a catchment climate data extraction and transformation tool. Providing a tool to read publicly available climate databases and prepare climate files for your catchment, in a format compati... moreble with most rainfall-runoff/river system models less
SDIP1 wrap-up - climate change scaling factors - Published 05 Jun 2017
The empirical scaling factors can be used to guide the plausible range of changes in the climate variables within impact-adaption-vulnerability assessment under climate change. The gridded dataset of ... moreall the scaling factors are produced at the spatial resolution of 0.5o×0.5o with the name ScalingFactor_0.5. In the dataset, there are 6 subfolders named as prcp, pexm, pet, tas, tasmax and tasmin representing scaling factors of precipitation, extreme high daily rainfall, potential evapotranspiration, mean temperature, maximum temperature and minimum temperature. In the subfolder, each text file represents the scaling factors of each GCM model and each run. less
SDIP1 wrap-up - climate change scaling factors - Published 19 Jan 2017
Compositional turnover patterns in mammal species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extracted f... morerom the Atlas of Living Australia current to 26th February 2014 and spatial environmental predictor data compiled at 9 second resolution (with novel climate seasonality predictors, undersampling covariates and >3 species aggregated per 9-second grid cell). The models were developed to underpin continental assessments of biodiversity significance and identify gaps in biological surveys. GDM is a statistical technique that models the dissimilarity in composition of species between pairs of surveyed locations, as a function of environmental differences between these locations. The compositional dissimilarity between a given pair of locations can be thought of as the proportion of species occurring at one location that do not occur at the other location (averaged across the two locations) - ranging from ‘0’ if the two locations have exactly the same species through to ‘1’ if they have no species in common. GDM effectively weights and transforms the environmental variables such that distances between locations in this transformed multidimensional environmental space now correlate, as closely as possible, with the observed biological compositional dissimilarities between these same locations. Once a GDM model has been fitted to the biological data from the sampled locations using environmental predictor data, it can be used to predict compositional dissimilarity values for sites lacking biological data, based purely on their mapped environmental attributes. For this purpose, a set of GDM-scaled environmental grids are produced for use in subsequent spatial assessments of biodiversity significance. This collection includes the source biological and environmental data, the GDM-fitted model, the GDM-scaled environmental predictors for the fitted-model which comprises substrate (constant) and 1990-centred climates, and a derived classification. Projections using past and future climates are not included here (available upon request). This model was used in the AdaptNRM series of reports by Williams et al. (2013) and Prober et al. (2014). less
1173.3 Strat: WPC Global Prot Area Ass - Macroecological Modelling - Published 09 Jan 2017
Compositional turnover patterns in amphibian species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extracte... mored from the Atlas of Living Australia current to 27th February 2014 and spatial environmental predictor data compiled at 9 second resolution (with novel climate seasonality predictors, undersampling covariates and >3 species aggregated per 9-second grid cell). The models were developed to underpin continental assessments of biodiversity significance and identify gaps in biological surveys. GDM is a statistical technique that models the dissimilarity in composition of species between pairs of surveyed locations, as a function of environmental differences between these locations. The compositional dissimilarity between a given pair of locations can be thought of as the proportion of species occurring at one location that do not occur at the other location (averaged across the two locations) - ranging from ‘0’ if the two locations have exactly the same species through to ‘1’ if they have no species in common. GDM effectively weights and transforms the environmental variables such that distances between locations in this transformed multidimensional environmental space now correlate, as closely as possible, with the observed biological compositional dissimilarities between these same locations. Once a GDM model has been fitted to the biological data from the sampled locations using environmental predictor data, it can be used to predict compositional dissimilarity values for sites lacking biological data, based purely on their mapped environmental attributes. For this purpose, a set of GDM-scaled environmental grids are produced for use in subsequent spatial assessments of biodiversity significance. This collection includes the source biological and environmental data, the GDM-fitted model, the GDM-scaled environmental predictors for the fitted-model which comprises substrate (constant) and 1990-centred climates, and a derived classification. Projections using past and future climates are not included here (available upon request). This model was used in the AdaptNRM series of reports by Williams et al. (2013) and Prober et al. (2014). less
1173.3 Strat: WPC Global Prot Area Ass - Macroecological Modelling - Published 06 Jan 2017
Compositional turnover patterns in land snail species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extract... moreed from the ANHAT (Courtesy Australian Government Department of the Environment) current to April 2013 and spatial environmental predictor data compiled at 9 second resolution (with novel climate seasonality predictors, undersampling covariates and >2 species aggregated per 9-second grid cell). The models were developed to underpin continental assessments of biodiversity significance and identify gaps in biological surveys. GDM is a statistical technique that models the dissimilarity in composition of species between pairs of surveyed locations, as a function of environmental differences between these locations. The compositional dissimilarity between a given pair of locations can be thought of as the proportion of species occurring at one location that do not occur at the other location (averaged across the two locations) - ranging from ‘0’ if the two locations have exactly the same species through to ‘1’ if they have no species in common. GDM effectively weights and transforms the environmental variables such that distances between locations in this transformed multidimensional environmental space now correlate, as closely as possible, with the observed biological compositional dissimilarities between these same locations. Once a GDM model has been fitted to the biological data from the sampled locations using environmental predictor data, it can be used to predict compositional dissimilarity values for sites lacking biological data, based purely on their mapped environmental attributes. For this purpose, a set of GDM-scaled environmental grids are produced for use in subsequent spatial assessments of biodiversity significance. This collection includes the source biological and environmental data, the GDM-fitted model, the GDM-scaled environmental predictors for the fitted-model which comprises substrate (constant) and 1990-centred climates, and a derived classification. Projections using past and future climates are not included here (available upon request).less
Compositional turnover patterns in reptiles species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extracted... more from the Atlas of Living Australia current to 28th February 2014 and spatial environmental predictor data compiled at 9 second resolution (with novel climate seasonality predictors, undersampling covariates and >3 species aggregated per 9-second grid cell). The models were developed to underpin continental assessments of biodiversity significance and identify gaps in biological surveys. GDM is a statistical technique that models the dissimilarity in composition of species between pairs of surveyed locations, as a function of environmental differences between these locations. The compositional dissimilarity between a given pair of locations can be thought of as the proportion of species occurring at one location that do not occur at the other location (averaged across the two locations) - ranging from ‘0’ if the two locations have exactly the same species through to ‘1’ if they have no species in common. GDM effectively weights and transforms the environmental variables such that distances between locations in this transformed multidimensional environmental space now correlate, as closely as possible, with the observed biological compositional dissimilarities between these same locations. Once a GDM model has been fitted to the biological data from the sampled locations using environmental predictor data, it can be used to predict compositional dissimilarity values for sites lacking biological data, based purely on their mapped environmental attributes. For this purpose, a set of GDM-scaled environmental grids are produced for use in subsequent spatial assessments of biodiversity significance. This collection includes the source biological and environmental data, the GDM-fitted model, the GDM-scaled environmental predictors for the fitted-model which comprises substrate (constant) and 1990-centred climates, and a derived classification. Projections using past and future climates are not included here (available upon request). This model was used in the AdaptNRM series of reports by Williams et al. (2013) and Prober et al. (2014). less
This file contains the monthly Global Mean Sea Level (GMSL) time series as described in Church and White (2011).
3.3 ACCSP-SL change, storm surge - ACCSP - Published 13 Dec 2016
This file contains the monthly Global Mean Sea Level (GMSL) time series as shown on figure 2 of Church and White (2006). The sea level was reconstructed as described in Church et al (2004).
3.3 ACCSP-SL change, storm surge - details - Published 13 Dec 2016
This record describes the End of Voyage archive from the Marine National Facility (MNF) RV Investigator voyage IN2015_V01 titled "IMOS Southern Ocean Time Series Automated Moorings for Climate and Car... morebon Cycle Studies Southwest of Tasmania". This was the first research voyage for the RV Investigator. The voyage took place between the 21st and the 30th of March, 2015 (local time) departing from Hobart and sailing to the south-west of Tasmania (47 S, 142 E) and returning to Hobart. Routine data collected included Acoustic Doppler Current Profiler (ADCP) (75, 150 KHz), Underway (UWY), SST Radiometer, CTD, Hydrology, Atmospheric data including aerosol properties, particulates and composition, ozone and radon, Greenhouse gases data, Underway pCO2, Echosounders (38, 70, 120, 200, 333 KHz), Multibeam (EM122, EM710, ME70 and SBP120) and XBT. Additional atmospheric instruments used on this voyage included two Condensation Particle Counters (CPC), Time of Flight Aerosol Chemical Speciation Monitor (ToF-ACSM), Cloud Radar BASTA 95GHz, Cloud Condensation Nuclei Counter (CCN), Long Scanning Mobility Particle Size (longSMPS), Nano Scanning Mobility Particle Size (nanoSMPS), Old Scanning Mobility Particle Size (Old SMPS), Neutral Cluster Air Ion Spectrometer (NAIS), Proton Transfer Reaction Mass Spectrometer (PTR-MS), Volatile Organic Chemical Sequencer (VOC) and Mercury Vapour Analyser (Tekran unit). Three CTD casts to 2250m with temperature, salinity, oxygen, phytoplankton fluorescence, particle backscatter, and beam attenuation sensors were sampled at 24 depths for the analyses of nutrients, salinity, Dissolved Inorganic Carbon (DIC), alkalinity and dissolved oxygen. The top 6 depths (to 150m) were also analysed for particulate organic carbon and pigments. Additional underway samples were collected for particulate organic carbon, biogenic silica, spectroscopic and pigment analyses. The towed undulating CTD (TRIAXUS) with the ECO Triplet optical sensor, Laser Optical Plankton Counter (LOPC) and the newly mounted Submersible Ultraviolet Nitrate Analyser (SUNA) and Fluorescence Induction and Relaxation (FIRe) instruments was deployed. The SAZ-16 sediment trap mooring deployed in May 2013 was recovered. Three moorings for recovery in April 2016 were deployed: SOFS-5 air-sea flux, Pulse-11 biogeochemistry and the SAZ-17 sediment trap mooring. Three profiling floats were deployed: the Argo Hull 638i and Southern Ocean Carbon Cycling Observations and Modeling (SOCCOM) ID8514 and ID9315. The EOV paper documentation - Multibeam (EM122, EM710 and ME70 and SBP120), CTD and XBT logs were scanned, archived and entered in the records management system TRIM, reference "in2015_V01". ELOG files were generated as csv formatted files and archived. The TRIAXUS log book entries have been scanned and archived. All voyage documentation is archived c/o the Data Centre in Hobart available electronically to MNF support via the local network folder "global_docs". Access to voyage documentation for non CSIRO participants can be made via DataLibrariansOAMNF@csiro.au. The archive for the IN2015_V01 EOV data will be held temporarily within the CSIRO Oceans and Atmosphere Data Centre in Hobart, with a permanent archive to be located at the CSIRO Data Access Portal (DAP), providing access to participants and processors of the data collected on the Marine National Facility RV Investigator IN2015_V01.less
Marine National Facility - End of Voyage (EOV) Data - Published 12 Jul 2016
Projected changes in seasonal and annual rainfall, potential evapotranspiration (PET), average temperature and runoff for Victorian river basins by 2040 and 2065
Victorian Climate Initiative - Hydroclimate projections for Victoria - Published 26 Jan 2017
Projections of rainfall, potential evapotranspiration (PET) and runoff for 1 degree and 2 degrees of global warming.
Legacy data - Modelling - Published 07 Apr 2016
This record describes the End of Voyage (EOV) archive from the Marine National Facility RV Investigator trial voyage IN2015_E01 - Cold Water Trial voyage (including Atmospherics). This voyage took pla... morece from Hobart to Hobart from the 29th January to 18th February 2015 and went to 65 degrees south. The voyage objectives included testing the cold water and atmospheric operations; the collection and processing of data and samples to test laboratories, facilities and on board systems; specific testing and checks of aerosol sampling mast, aerosol laboratory and air-chemistry laboratory. Geophysical Survey Mapping data collection, including instrument calibrations, testing of equipment and deployments of XBTs. Data Acquisition operations including the integration and test of underway instruments, new atmospheric instruments and drop keel instrumentation. Data collected included Acoustic Doppler Current Profiler (ADCP)(75, 150 KHz), Underway (UWY), Gravity, SST Radiometer, Atmospheric data (Absorption Photometer, Nephelometer, Ozone and Radon), Greenhouse data (Aerodyne and Picarro), Underway pCO2, Echosounders (12, 18, 38, 70, 120, 200, 333, Bridge 200 KHz), Multibeam (EM122, EM710, ME70 and SBP120) and XBT. Additional Aerosol data collected included TSI 3772 Condensation Particle Counter (CPC), 3787, Time of flight aerosol chemical speciation monitor (ToF-ACSM), Cloud Condensation Nuclei Counter (CCN), Spectronus - trace gas analyser based on Fourier Transform Infrared spectrometry (FTIR), Long Scanning Mobility Particle Size (longSMPS), Nano Scanning Mobility Particle Size (nanoSMPS), Neutral Cluster Air Ion Spectrometer (NAIS), Proton Transfer Reaction Mass Spectrometer (PTR-MS), PTRMS_AUX, Radiosondes_balloons, Sequencer (SEQ) and Volatility Hygroscopicity Tandem Differential Mobility Analyser (VHTDMA). The EOV paper documentation - Multibeam (EM122, EM710, ME70 and SBP120), Gravity Meter and XBT logs are scanned, archived and entered in the records management system TRIM, reference "in2015_e01". ELOG files are generated as .csv and archived. All voyage documentation is archived c/o the Data Centre in Hobart available electronically to MNF support via the local network "global_docs". Access to voyage documentation for non CSIRO participants can be made via DataLibrariansOAMNF@csiro.au. The archive for the IN2015_E01 EOV data will be held temporarily within the CSIRO Oceans and Atmosphere Data Centre in Hobart with a permanent archive to be located at the CSIRO Data Access Portal (DAP), providing access to participants and processors of the data collected on the Marine National Facility RV Investigator IN2015_E01.less
Marine National Facility - End of Voyage (EOV) Data - Published 23 Sep 2015
