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This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2018_V08, titled "The Balleny mantle plume: key role in Tasmania-Antarct... moreic breakup?" The voyage took place from Hobart (TAS) to Hobart between December 27, 2018 and January 10, 2019. For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Met station (temp, humidity, pressure, wind, rain, PIR, PSP, PAR), Nephelometer, pCO2, Starboard and Portside Radiometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Seawater (TSG, fluorometer, optode), Thermosalinographs (TSG), Expendable Bathythermographs (XBTs). Voyage-specific measurements: Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN), Multiangle Absorption Photometer (MAAP), Scanning Mobility Particle Sizers (SMPS), Rock Dredge. The archive for the IN2018_V08 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 21 Nov 2019
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2019_T04, titled "Dry Dock Transit." The voyage took place from Fremant... morele (WA) to Singapore (SG) between June 15 and June 25, 2019. For further information please refer to the voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), GPS Positioning System, Doppler Velocity Log, Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR). The archive for the IN2019_T04 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 IN2019_T01, titled "Collaborative Australian Postgraduate Sea Training All... moreiance (CAPSTAN)." The voyage took place from Hobart (TAS) to Fremantle (WA) between April 29 and May 9, 2019. For further information please refer to the voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Lowered ADCP (LADCP), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Nephelometer, pCO2, Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN), Scanning Mobility Particle Sizers (SMPS), Multiangle Absorption Photometer (MAAP), Starboard and Portside Radiometers, Radon and Ozone sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Fluorometer, Oxygen optode, Thermosalinographs (TSG), CTD, Hydrochemistry, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Bongo Net, Multi-corer, Sediment Grab, Sound Velocity Profile (SVP), Video, Bird Observations, Sea-mammal Observations. The archive for the IN2019_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
9s resolution climate surfaces for the Australian continent, describing the seasonaility of precipitation as defined in Williams et al 2010(SRAIN1, SRAIN2 as supplied). This collection represents 30 ... moreyear average data. The two metrics calculated for each scenario are: PTS1: Summer-winter precipitation seasonality: where summer-dominated rainfall is the ratio + summer/winter, and winter-dominated is the ratio -(minus sign) winter/summer; where summer precipitation is defined as the sum of Dec-Jan-Feb precipitation and winter precipitation is defined as the sum of Jun-Jul-Aug precipitation PTS2: Spring-Autumn precipitation seasonality where spring-dominated rainfall is the ratio + spring/autumn, and autumn-dominated rainfall is the ratio -(minus sign) autumn/spring; where spring is defined as Sep-Oct-Nov and autumn is defined as March-April-May Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. less
Module 5 & AdaptNRM - - Published 15 Nov 2019
A suite of 9s resolution climate surfaces for the Australian continent, with adjustment for the radiative effects of terrain. This collection represents a 30 year average centred on 2050 for the CAN E... moreSM2 circulation model under RCP 8.5. Projected future climates were generated by applying within-model changes (e.g. CAN ESM2 2036-2065 –CAN ESM2 (1976-2005) calculated at the native general circulation model grid resolution to these current surfaces, using ANUCLIM 6.1 prior to radiative adjustment. Precipitation, temperature, evaporation and water balance data are presented as annual means or totals and maximum and minimum monthly values. Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. less
DEE: Enhancing landscape data and analytic capability through knowledge transfer of GDM technology - Australian 9s environmental surfaces - Published 07 Nov 2019
A suite of 9s resolution climate surfaces for the Australian continent, with adjustment for the radiative effects of terrain. This collection represents a 30 year average centred on 2050 for the MIROC... more 5 circulation model under RCP 8.5. Projected future climates were generated by applying within-model changes (e.g. MIROC 5 2036-2065 MIROC 5 (1976-2005) calculated at the native general circulation model grid resolution to these current surfaces, using ANUCLIM 6.1 prior to radiative adjustment. Precipitation, temperature, evaporation and water balance data are presented as annual means or totals and maximum and minimum monthly values. Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. less
A suite of 9s resolution climate surfaces for the Australian continent, with adjustment for the radiative effects of terrain. This collection represents a 30 year average centred on 2050 for the MIROC... more 5 circulation model under RCP 4.5. Projected future climates were generated by applying within-model changes (e.g. MIROC 5 2036-2065 MIROC 5 (1976-2005) calculated at the native general circulation model grid resolution to these current surfaces, using ANUCLIM 6.1 prior to radiative adjustment. Precipitation, temperature, evaporation and water balance data are presented as annual means or totals and maximum and minimum monthly values. Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. less
A suite of 9s resolution climate surfaces for the Australian continent, with adjustment for the radiative effects of terrain. This collection represents a 30 year average centred on 2050 for the CAN E... moreSM2 circulation model under RCP 4.5. Projected future climates were generated by applying within-model changes (e.g. CAN ESM2 2036-2065 –CAN ESM2 (1976-2005) calculated at the native general circulation model grid resolution to these current surfaces, using ANUCLIM 6.1 prior to radiative adjustment. Precipitation, temperature, evaporation and water balance data are presented as annual means or totals and maximum and minimum monthly values. Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. less
A suite of 9s resolution climate surfaces for the Australian continent, with adjustment for the radiative effects of terrain. This collection represents a 30 year average centred on 1990. Precipitatio... moren, temperature, evaporation and water balance data are presented as annual means or totals and maximum and minimum monthly values. Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. less
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2019_V04, titled "Hotspot dynamics in the Coral Sea: connections between... more the Australian plate and deep Earth." The voyage took place from Cairns (QLD) to Brisbane (QLD) between August 7 and September 3, 2019. For further information please refer to the voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Lowered ADCP (LADCP), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Nephelometer, pCO2, Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN), Scanning Mobility Particle Sizers (SMPS), Multiangle Absorption Photometer (MAAP), Starboard and Portside Radiometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Picarro), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Fluorometer, Oxygen optode, Thermosalinographs (TSG), CTD, Hydrochemistry, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Argo floats, Magnetometer, Bird Observations, Sea-mammal Observations. The archive for the IN2019_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 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 Oct 2019
The NESP Tropical Cyclone Projections Portal is a website with interactive features designed to provide information on the historical and projected climatology of tropical cyclone (TC) tracks in the s... moreouthern hemisphere, with a particular focus on the Australian region. Tropical cyclone tracks are displayed from periods within baseline and future climates simulated by CMIP5 Global Climate Models using the RCP 8.5 emissions pathway, as well as those observed historically and published in the WMO version of the IBTrACS global best-track archive (v03r10). Various other products are derived from these data sets, including climatologies of and changes in: - spatial density of number of TCs per decade; - density of storms impacting on Australia's coastline; - the simulated number and seasonal cycle of TCs; - relationship of projected change in Australian-region TCs with changes in temperature and precipitation in the region. less
NESP ESCC Extreme weather projections - Tropical Cyclone Projections Portal - Published 27 Jun 2019
This data is associated with the paper O’Grady, J.G., McInnes, K.L., Hemer, M. A., Hoeke, R. K., Stephenson, A., and Colberg, F. (in press), "Extreme Water Levels for Australian Beaches using Empirica... morel Equations for Shoreline Wave Setup", Journal of Geophysical Research: Oceans. Understanding how high ocean water levels can reach up the coast is important for designing coastal protection from coastal inundation and erosion. This is particularly important as climate change affects wind and weather conditions and sea-level rise with the subsequent modification to the occurrence of the largest storm-driven water levels. While the height of storm-driven water levels are well understood for protected harbours and estuaries, new research is providing estimates of how high water levels can reach for coastlines exposed to dangerous wave/surf conditions. This study uses mathematical model simulations spanning ~30 years of historical water levels and ocean waves. Statistical analysis is performed to determine how high the largest storm events will likely reach on natural sandy beaches directly exposed to large wave/surf conditions. The data comprises Gumbel distribution parameters from regression fitting to the hindcast model data. The file ST_rGUM_25m_sta.1981-2013.nc is for the storm-tide SWL heights from the ROMS storm surge hindcast. The file SU_GT81_rGUM_25m_sta.1981-2013.nc is for wave setup calculated with the Guza, R. T., & Thornton 1981 method. The file SU_GT81_ST_rGUM_25m_sta.1981-2013.nc is for the time-series combined storm-tide and wave setup. Notes: 1) The data datum is relative to the model bathymetry mean sea level (Geoscience Australia’s 2009 250m dataset). Haigh corrected their dataset of storm tide to AHD by comparing modelled 1-year ARI to the tide gauge measurements. “The predicted levels have been artificially adjusted so that the 1-year return period levels exactly match those of the measured estimates at each site. This was done because the predicted water levels are relative to MSL, whereas the measured levels are relative to AHD. Around mainland Australia, AHD was defined using MSL records between 1966 and 1968 at 30 sites and hence differs from present day MSL. Around Tasmania, AHD was defined using two records from 1972.” 2) To convert to AHD, the netcdf file ‘ST_rGUM_25m_sta.1981-2013.nc’ has a variable ‘toAHD’, you will need to add this onto the location parameter ‘mu’. Alternatively add it to the predicted return levels. 3) Wave setup is really only valid for open coastlines exposed to waves, so be careful applying it in estuaries.less
NESP ESSC Coastal Hazards in a Variable and Changing Climate - - Published 25 Jun 2019
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2018_V06, titled "Status and recovery of deep-sea coral communities on s... moreeamounts in iconic Australian marine reserves." The voyage took place from Hobart (TAS) to Hobart between November 23 and December 19, 2018. Supplementary project: Spatial and temporal variability in the distribution and abundance of seabirds. For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Lowered ADCP (LADCP), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Met station (temp, humidity, pressure, wind, rain, PIR, PSP, PAR), Nephelometer, pCO2, Starboard and Portside Radiometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Seawater (TSG, fluorometer, optode), Thermosalinographs (TSG), CTD, Hydrochemistry, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN), Hydrophones, Multiangle Absorption Photometer (MAAP), Scanning Mobility Particle Sizers (SMPS), Ultra Short BaseLine Underwater Positioning System (USBL), Baited Remote Underwater Video System (BRUVS), Bird Observations, Whale Observations. The archive for the IN2018_V06 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 20 Jun 2019
Historic and future 20-year climatologies of CMIP5 data on native model grid for annual, seasonal and monthly seasons. Up to 40 models from the CMIP5 archive are available. TIME PERIODS: Historic: ... more 1986-2005, 1980-1999 Future: 2015-2034, 2020-2039, 2025-2044 2030-2049, 2035-2054, 2040-2059 2045-2064, 2050-2069, 2055-2074 2060-2079, 2065-2084, 2070-2089 2075-2094, 2080- 2099 EXPERIMENTS: historical, rcp26, rcp45, rcp60, rcp85 SEASONS: Annual, Seasonal (DJF, MAM, JJA, SON) 6-month seasons (NDJFMA, MJJASO) Monthly VARIABLES: Surface Temperature, Rainfall, Wind Speed, Solar Radiation, Maximum Surface Temperature, Minimum Surface Temperature, Drought, Extreme Rainfall (1-in20 Year), Evapotransporation Humidity, less
CLSD PCCSAP Climate Futures V2 - CMIP 5 model archive - Published 14 Jun 2019
Processed global climate model outputs and derived analysis from ‘historical’ and RCP simulations from CMIP5 models. A set of up to 26 models were used for all PACCSAP reporting, but some other models... more are now processed as well as part of the NRM and ACCSP projects. Datasets are complete time series as well averages for 1986-2005, 2020-2039, 2040-2059, 2060-2079 and 2080-2099. Derived variables are: • Climatologies for each period • Changes between periods (absolute and %) • Expert Team on Climate Change Detection and Indices (ETCCDI) extremes indices (e.g. annual maximums) • Average recurrence interval (ARI) calculations of 1-year, 2-year, 5-year, 10-year, 20-year, 50-year and 100-year events fro rainfall and temperature extremes • Standardised precipitation index (SPI) of meteorological drought • Area-average means and changes for each partner nation and each NRM cluster region for all fieldsless
CLSD PCCSAP 3.3.1 CMIP5 Model Evaluation - Climate model evaluation - Published 14 Jun 2019
Dynamically downscaled climate simulations for Victoria from 1961 to 2099 using the Conformal Cubic Atmospheric Model (CCAM) r3355. An ensemble of Global Climate Models were downscaled (ACCESS1-0, CN... moreRM-CM5, GFDL-ESM2M, HadGEM2, MIROC5 and NorESM1-M) from the CMIP5 archive for historical, RCP4.5 and RCP8.5, as well as downscaling ERA-Interim. Sea Surface Temperatures (SST) were bias corrected and the global atmosphere simulated at 50 km resolution with only SST forcing. The 50 km simulation was then downscaled to 5 km resolution over Victoria using CCAM’s variable resolution grid and a scale-selective filter. The dataset was created with support from Wine Australia, the Victorian Department of Environment, Land, Water and Planning, the University of Tasmania, as well as CSIRO Oceans and Atmosphere.less
DELWP Vic Climate Science Data - - Published 06 Feb 2019
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator Charter Voyage IN2015_C01, titled: "Great Australian Bight (GAB) deep water geological an... mored benthic ecology program". The voyage took place from Hobart (TAS) to Port Lincoln (SA) between October 22 and November 28, 2015. For further information refer to the Voyage documentation links below. Data collected include: Acoustic Doppler Current Profiler ADCP: 75, 150 KHz, CTD, Gravity, Hydrology, Atmospheric data: Absorption Photometer, Nephelometer, Ozone, Radon, Greenhouse data: Aerodyne, Picarro, Underway, pCO2, Echosounders: EK60 (18, 38, 70, 120, 200, 333,KHz), Multibeam: EM122, EM710, and SBP120, XBT, USBL, SMPS (Scanning Mobility Particle Sizer Spectrometer-3936), heat flow probe, magnetometer and video. The archive for the IN2015_C01 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 03 Nov 2018
The lumped conceptual rainfall-runoff model, SIMHYD, with a Muskingum routing method is used to estimate daily runoff for 0.05° x 0.05° grid cells (~5 km x 5km) across the entire MDB. The adopted rain... morefall-runoff modelling method provides a consistent basis (that is automated and reproducible) for modelling historical runoff across the Murray-Darling Basin (MDB) and for assessing the potential impacts of climate change and development on future runoff. The historical climate scenario (Scenario A) is the baseline against which other scenarios are compared. It is based on observed climate data from 1895 to 2006. less
Legacy data - Murray Darling Basin Sustainable Yields Project - Published 04 Oct 2018
The lumped conceptual rainfall-runoff model, SIMHYD, with a Muskingum routing method is used to estimate daily runoff for 0.05° x 0.05° grid cells (~5 km x 5km) across the entire MDB. The adopted rain... morefall-runoff modelling method provides a consistent basis (that is automated and reproducible) for modelling historical runoff across the Murray-Darling Basin (MDB) and for assessing the potential impacts of climate change and development on future runoff. The future climate scenario (Scenario C) is used to assess the range of likely climate conditions around the year 2030. Forty-five future climate variants, each with 112 years of daily climate sequences, are used. The future climate variants come from scaling the 1895 to 2006 climate data to represent ~2030 climate, based on analyses of 15 global climate models (GCMs) and three global warming scenarios. As the future climate series (Scenario C) is obtained by scaling the historical daily climate series from 1895 to 2006 (Scenario A), the daily climate series for Scenarios A and C have the same length of data (112 years) and the same sequence of daily climate. Scenario C is therefore not a forecast climate at 2030, but a 112-year daily climate series based on 1895 to 2006 data adjusted to match projected global temperatures at ~2030 relative to ~1990.less
CSIRO, through the Water for a Healthy Country National Research Flagship, was contracted by the National Water Commission to assess the current and future water availability in 18 regions across the ... moreMurray-Darling Basin (MDB) considering climate change and other risks to water resources. Three climate scenarios were used for the hydrological modelling in the project: historical climate, recent climate and future climate. The future climate scenario, is used to assess the range of possible climate conditions around the year 2030. In this dataset, forty-five future climate variants, each with 112 years of daily climate sequences for 0.05 degree x 0.05 degree grid cells across the,MDB are used for the rainfall-runoff modelling. The future climate variants come from scaling the historical climate data covering 1895 to 2006 to represent the climate around 2030, based on analyses of 15 global climate models (GCMs) and three global warming scenarios. Further details are in the published report: Chiew FHS, Teng J, Kirono D, Frost AJ, Bathols JM, Vaze J, Viney NR, Young WJ, Hennessy KJ and Cai WJ (2008) Climate data for hydrologic scenario modelling across the Murray-Darling Basin. A report to the Australian Government from the CSIRO Murray-Darling Basin Sustainable Yields Project. CSIRO, Australia. https://publications.csiro.au/rpr/pub?pid=procite:88ee61de-92b9-4acc-b9b1-bf6de5d45ca9 Format Name : netCDF Format Version : 3.0 Dataset Creation Date: 2007less
CSIRO, through the Water for a Healthy Country National Research Flagship, was contracted by the National Water Commission to assess the current and future water availability in 18 regions across the ... moreMurray-Darling Basin (MDB) considering climate change and other risks to water resources. Three climate scenarios were used for the hydrological modelling in the project: historical climate, recent climate and future climate. The historical climate scenario, is the baseline against which other scenarios are compared. This dataset is used to run rainfall-runoff models and is based on observed SILO Drill climate data from 1895-2006. The original SILO data has been removed due to licensing restrictions. The areal potential evapotranspiration (APET) and point potential evapotranspiration (PPET) were both derived. Further details are in the published report: Chiew FHS, Teng J, Kirono D, Frost AJ, Bathols JM, Vaze J, Viney NR, Young WJ, Hennessy KJ and Cai WJ (2008) Climate data for hydrologic scenario modelling across the Murray-Darling Basin. A report to the Australian Government from the CSIRO Murray-Darling Basin Sustainable Yields Project. CSIRO, Australia. https://publications.csiro.au/rpr/pub?pid=procite:88ee61de-92b9-4acc-b9b1-bf6de5d45ca9 Format Name : netCDF Format Version : 3.0 Dataset creation date: 2007 less
This record describes the End of Voyage (EOV) archive from the Marine National Facility RV Investigator Charter Voyage IN2015_C02, titled "Great Australian Bight (GAB) deep-water pelagic and benthic e... morecosystem study." This charter voyage from Port Lincoln (SA) to Fremantle (WA) took place between November 30th and December 22nd, 2015. Data collected: Acoustic Doppler Current Profiler (ADCP, 150 KHz), Lowered ADCP (LADCP), CTD, Gravity, EZnet, Hydrology, Atmospheric (Ozone, Radon), Greenhouse (Aerodyne, Picarro), Underway, pCO2, Echosounders (EK60 -18, 38, 70, 120, 200, 333 KHz), Multibeam (EM122, EM710, ME70), SMPS (Scanning Mobility Particle Sizer Spectrometer), XBT and video. Other Data Collected: Multiple Opening Closing Net System (MIDOC), Simrad WideBand Autonomous Transceiver (WBAT, 55 and 90KHz Broadband echosounder on CTD), Profiling Acoustic and Optical System (pLAOS), Integrated Coring Platform (ICP), Isaacs Kid midwater trawl (IKMT), Laser Optical Particle Counter (LOPC), Fisheries/bioacoustics echosounder (EK80), Molecular sequence analyses (Bayesian Evolutionary Analysis Sampling Trees - BEAST). EOV paper documentation: the CTD, XBT and Hydrology logs were scanned, archived and entered in the records management system TRIM, reference "in2015_c02." ELOG files were generated in .csv format. All voyage documentation is archived at the CSIRO Oceans and Atmosphere Information and 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_C02 EOV data will be held temporarily within the Data Centre in Hobart, with a permanent archive to be located at the CSIRO Data Access Portal (https://data.csiro.au/dap/), providing access to participants and processors of the data collected on the Marine National Facility RV Investigator voyage IN2015_C02. less
Marine National Facility - End of Voyage (EOV) Data - Published 20 Sep 2018
A selection of 9sec gridded National climate change variables for biodiversity modelling. This collection represents 30-year averages centred on each of 1990, 2050, 2070, 2090. Projected future climat... morees were generated by applying within-model changes for two circulation model outputs: GFDL and ACCESS1.0; and for two representative concentration pathways (RCP 4.5, 8.5), calculated at the native general circulation model grid resolution to these current surfaces, using ANUCLIM 6.1 prior to radiative adjustment. That the maximum temperature variables have been adjusted for topographic slope/aspect and shading effects. A short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. The selected climate variables provided in this collection are: TNM - mean annual minimum temperature TXM - mean annual maximum temperature TXX - mean maximum monthly maximum temperature TXI - mean minimum monthly maximum temperature TNI - mean minimum monthly minimum temperature TNX - mean maximum monthly minimum temperature PTA - Average total annual rainfall PTX - mean maximum monthly rainfall PTI - mean minimum monthly rainfall Other variables (evaporation and water balance, temperature range, and seasonality, etc) are available upon application. The data are provided in ESRI binary float grid format (*.hdr, *.flt), Projection is geographic GDA94. less
1173.3 WPC Global Protected Area Assessm - climate change scenarios - Published 12 Sep 2018
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2017_v01, titled "Interactions of the Totten Glacier with the Southern O... morecean through multiple glacial cycles." The voyage took place from Hobart (TAS) to Hobart between January 14 and March 5, 2017. NOTE: the raw USBL data files lag 3 minutes behind the ship’s time due to an error with the NTP client. This only applies to the raw files directly logged by the USBL in the /usbl folder; and does not affect the TECHSAS recorded data, which is synchronized to the ship’s clock. For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries echosounder (EK60, ME70), 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, Nephelometer, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure sensor, Wind Speed and Direction sensors, Thermosalinographs, CTD, Hydrochemistry, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Aerosol Aerodynamic Particle sizer (APS), Aerosol Chemical Speciation Monitor (ACSM), ASD Field Spectroradiometer, Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN, ccnc), Disdrometer, PAM Fluorometer, Light Detection and Ranging (LIDAR), Mercury Vapor Analyzer, Microtops, Multiangle Absorption Photometer (MAAP), Multi-Sensor Core Logger, pCO2, Proton-Transfer-Reaction mass spectrometry (PTR-MS), Scanning Mobility Particle Sizers (long SMPS, nano SMPS), Sea-ice, Seismic profiling, Sound Velocity Profiles (SVP), Ultra-Short Base Line (USBL; see NOTE below), Video, Volatile Organic Compounds (VOC) Gas Chromatograph (SEQ), Whale Observations. The archive for the IN2017_V01 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 Aug 2018
This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2018_e01, titled "MNF sea trials." The voyage took place from Hobart (TA... moreS) to Hobart between June 9 and June 12, 2018. For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Disdrometer, Fisheries echosounder (EK60), Multibeam Echosounder (EM710), GPS Positioning System, Doppler Velocity Log, Met station (temp, humidity, pressure, wind, rain, PIR, PSP, PAR), Nephelometer, pCO2, Starboard and Portside Radiometers, Radon and Ozone sensors, Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Seawater (TSG, fluorometer, optode), Thermosalinographs (TSG). Voyage-specific measurements: Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN), Scanning Mobility Particle Sizers (SMPS), Triaxus. The archive for the IN2018_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
