Showing results for: [ Surfacewater Hydrology ]
Inputs to and outputs from the Forecast Guided Stochastic Model used to produce the paper:
Bennett JC, Wang QJ, Robertson DE, Schepen A, Li M, Michael K. 2017. Assessment of an ensemble seasonal stre... moreamflow forecasting system for Australia. Hydrol. Earth Syst. Sci. 21: 6007-6030. DOI: 10.5194/hess-21-6007-2017.
NB: netCDF files comform to the specification documents attached below.less
WIRADA2+ Collaboration - - Published 13 Dec 2018
These data provide rasterised layers of edaphic (physical and chemical conditions of the soil) and land surface physiography (landform and geomorphology) attributes hypothesised to explain spatial pat... moreterns in biological diversity at continental scales for immediate use with statistical modelling tools. These data are intended to be used along with a similarly compiled and spatially standardised set of climatic layers (See " 0.01 degree stack of climate layers for continental analysis of biodiversity pattern: version 1.0 " in related materials).NOTE: Full details of the data, with a list of data sources and bibliography, are provided in a PDF file included as part of the data collection.less
Closed DEWHA Harness Cntnnt-wide Bdvrsty - Spatial Environmental Data Preparation - Published 11 Dec 2018
Streamflow simulations from the Fitzroy River model (from NAWRA project) at all simulation nodes
Northern Australian Basin Assessment:: Water Resource Assessments - NAWRA surface water modelling - Published 26 Sep 2018
Locations, sample analysis and sample comments and dates for water quality samples (heavy metals, N and P) taken at various locations across the Mitchell River catchment (QLD)
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 05 Sep 2018
These are supplementary data for a study of The Spectacles wetland and interactions with the adjacent Kwinana Wastewater Treatment Plant
1006.12 AWRCoE Kwinana Industries MAR - - Published 29 Mar 2018
This project represents the first attempt to characterize the interaction between largely undeveloped catchments and the coastal environment of the Kimberley and the role large coastal inlets play in ... moretransforming material transported from those catchments during large flows before it reaches the coast. This project has also attempted to provide the first assessment of how future changes in climate might impact these processes. Future climate scenarios suggest there is not a great difference in mean rainfall or flows between the three possible future climates and the Historical sequence. To investigate the physical-biogeochemical interactions in this region, a second model was established with a focus on the coastal margin and estuarine portion, and then additionally configured to simulate turbidity (including particle resuspension), and inorganic and organic carbon and nutrients. The model was validated and then used to assess how far terrestrial nutrients might extend from the river into Walcott Inlet and possibly Collier Bay. Flows greater than 300m3/s were shown to dominate nutrient loads within Walcott Inlet itself (>50% of total load) and significantly contribute to the inner reaches of Collier Bay (>15% of total load).less
WAMSI - KIM 2.2.6 Terrestrial oce - Catchment-Ocean Modelling - Published 18 Oct 2017
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
The global effective plant rooting depth (unit: meter) datasets contains a climatological map of mean effective plant rooting depth over 1982-2010 at 0.5 degree spatial resolution based on Guswa's Car... morebon Cost-Benefit model. A detailed description of the method, input data and hydrological validation of the effectiveness of the estimated rooting depth can be found in Yang et al. (2016).
Guswa, A.J. (2008), The influence of climate on root depth: A carbon cost-benefit analysis, Water Resources Research, 44(2), W02427, doi: 10.1029/2007WR006384.
Yang, Y.T., Donohue, R.J., McVicar, T.R. (2016), Global estimation of effective plant rooting depth: Implication for hydrological modelling, Water Resource Research, In press.less
Legacy data - Global Effective Plant Rooting Depth - Published 25 Nov 2016
Fortnightly observations of total biomasses and dominant species biomasses of phytoplankton and zooplankton, chlorophyll a, mean crustacean length, ammonia, filterable reactive phosphorus (FRP), total... more phosphorus (TP), total nitrogen (TN), Secchi transparency, pH, temperature, conductivity, turbidity.
This study was conducted on Logan’s Dam, a small water body near Gatton, in South East Queensland (SEQ).less
1006.8 SEQ Water Losses - Estimation of monolayer water quality effects - Published 25 Aug 2016
This package contains the libraries, code, and schemas for WaterML 2.0 validation service based on the architecture of the Water Data Transfer Format (WDTF) validation service (Yu et al. 2011).
It ex... moretends the validation-svc-base framework for a two pass XML validation service (see https://github.com/CSIRO-enviro-informatics/validation-svc-base). First pass XSD validation and second pass Schematron validation. Specific extensions are
to the Java validation code for WaterML2.0 validation.
The set of XML Schemas and Schematron rules can be found here:
WIRADA 1.4 Water Data Transfer Standards - Water data standards and supporting tools - Published 31 May 2016
This dataset contains rasters of the change in runoff and recharge under future climates
1157.1 NRM Murray Basin - Water activity - Published 02 May 2016
This model demonstrates a methodology for simulating interactions between wetlands and underlying shallow groundwater in the Lower Limestone Coast Prescribed Wells Area. Specifically, the model simula... moretes changes in wetland water levels to variations in water tables. A variant of the industry standard groundwater flow simulation code MODFLOW (i.e. MODFLOW-OWHM) was used as the basis for this approach. Significant components of the water mass balances for both wetland and groundwater domains were included. Of particular novelty was the use of a combined approach to simultaneously represent recharge and evapotranspiration. Model files also include Python language post-processing scripts, which may be used to produce statistical summaries of wetland surface water persistence.
The model was demonstrated using a synthetic input dataset. Results of the synthetic demonstration, including the calculated salinisation risk metric, indicated the potential for managed surface water additions to negate the effects of long-term water table decline on the persistence of wetland surface water levels.less
1212.3 Goyder E.2.3 SE Phase 2 - Wetland connectivity modelling - Published 24 Jun 2015
These data provide rasterised layers of climatic variables hypothesised to explain spatial patterns in biological diversity at continental scales for use with statistical modelling tools. Specificall... morey, these data were derived for modelling the compositional pattern of multiple species with environmental factors such as climate, soil and topography using the statistical technique Generalised Dissimilarity Modelling applied to continental Australia.
Climate variables are monthly mean values for minimum temperature, maximum temperature, relative humidity, vapour pressure, precipitation, aridity, solar radiation, evaporation, wind and others. Some of these monthly variables were used to generate growth indices (using the GROCLIM module of ANUCLIM).
These data for Generalised Dissimilarity Modelling (GDM) analysis were masked to consistently define data/nodata values and supplied in DIVA-GIS floating-grid format in the WGS84 geographic reference system.
NOTE: Full details of the data, with a list of data sources and bibliography, are provided in a PDF file included as part of the data collection.less
Closed DEWHA Harness Cntnnt-wide Bdvrsty - Spatial Environmental Data Preparation - Published 29 Jan 2015
This collection contains a US EPA Stormwater Management Model (SWMM), calibrated and validated for ten catchments with varying degrees of urbanisation in south east Queensland (SEQ). The catchments we... morere calibrated against hourly streamflow data from 2009 to 2012. The catchments modelled are:
Tingalpa Creek at Sheldon;
Upper Yaun Creek at Coomera;
Scrubby Creek at Karawatha Forest;
Blunder Creek (Daintree Crescent) at Forest Lake;
Stable Swamp Creek at Sunnybank;
Oxley Creek at Heathwood;
Pimpama River at Kingsholme;
Blunder Creek at Carolina Parade;
Sheepstation Creek at Parkinson;
Blunder Creek at Durack.less
1006.2 SEQ Stormwater/MAR Feasibility - Catchment modelling - Published 25 Mar 2013
A numerical groundwater flow simulation model for the Lockyer Valley alluvial aquifer. The model was developed using the MODFLOW-NWT software package, in conjunction with parameter estimation softwar... moree PEST and its utility software. The calibrated model simulates the aquifer responses to a set of groundwater stresses including groundwater extraction, irrigation recharge, and flood recharge.less
1006.2 SEQ Lockyer Valley - Groundwater modelling - Published 22 Mar 2013
A numerical model to simulate salt transport in the unsaturated zone of two selected sites of the Lockyer Valley, namely, Forest Hill and Tent Hill. Those two sites were selected as they had signific... moreant amounts of salt stored in their unsaturated zone, which extends to about 20 m. HYDRUS-1D of Šimůnek and colleagues (2008) was used to model water flow, solute transport, and root water uptake in those sites.
A total of twelve simulations were run, six for each site. Two irrigation options were considered, the first using the currently available water at each of the sites, and the second using PRW. For each of those options (1 and 2), two vegetation types were considered: shallow-rooted (series W) and deep-rooted (series D). An additional scenario was considered for the shallow-rooted vegetation where intensive irrigation was adopted; this option represented a worst-case scenario for salt mobilisation and transport. Simulation time was varied depending on the irrigation scenario, which was 100 years and 28 years for moderate and intensive irrigation scenarios, respectively.less
Crop maps represented in 11 spatial layers (ESRI GRIDS) which were classified from remotely sensed imagery (Landsat TM 5). The 11 layers are named with the month and year from which the image was capt... moreured as follows:
jul11 (18/07/2011), may11 (15/05/2011), apr11 (13/04/2011), oct10 (3/10/2010), sep10 (1/09/2010), aug10 (16/08/2010), oct06 (24/10/2006), jul06 (20/07/2006), may06 (1/05/2006), oct99 (29/10/1999), aug99 (10/08/1999).less
1006.2 SEQ Lockyer Valley - Crop classification - Published 15 Feb 2013
Data collection from Logan’s Dam near Gatton includes: thermistor chain data (x4), land weather stations (x4), floating weather station (x1) scintillometer data for fluxes, pump station data, rain ga... moreuges (x4), datalogger and data description files.less
1006.8 SEQ Water Losses - Evaporation Losses - Published 20 Dec 2012
Hydrology data collected over south-east Queensland between 2009 and 2012 as part of the Stormwater Harvesting and Eco-Hydrology project of the Urban Water Security Research Alliance. Contains: rainf... moreall; river level and flow; water quality (dissolved oxygen, electroconductivity, pH, turbidity, water temperature). Not all measurements cover the entire date range.
Collection sites include; Blunder Creek, Forest Lake and Durack; Sheepstation Creek, Parkinson; Stable Swamp Creek, Sunnybank and Rocklea; Oxley Creek, Heathwood; Tingalpa Creek, Sheldon; Scrubby Creek, Karawatha Forest; Pimpana River, Kingsholme; Yaun Creek, Upper Coomera. A KML file is included with further information regarding the sites.less
1006.2 SEQ Stormwater/MAR Feasibility - Hydrology and streamflow - Published 10 Dec 2012