National Computational Infrastructure

NCI

Environment, Geodesy, Elevation and Bathymetry

 

Overview of the collection information.
Title Project Usage Project Code Global File System THREDDS Other Services
OFAM – Ocean Forcasting Australian Model 70TB gb6 gdata3 Yes
TERN eMAST 44TB rr9 gdata1 Yes
GNSS Geodesy 4TB fj5 gdata1 Yes
Australian Bathymetry and Elevation 62TB rr1 gdata1 No
TERN eMAST Data Assimilation 18TB fj2 gdata1 No
Sydney Forecast Demonstration Project 17TB gd8 gdata1 Yes
CSIRO/BoM Key Water Assets 15TB fj8 gdata1 No
TERN Phenology Monitoring 1TB fj3 gdata1 No  http://portal.tern.org.au
ANU water and landscape dynamics 4TB ub8 gdata1 Yes
CSIRO Coastal Modelling Products (eReefs) 16TB fx3 gdata1 Yes

Ocean Forecasting Australian Model (v. 3.0) Products

Data here are from an OFAM (Ocean Forecasting Australian Model) experiment simulating 1993 to 2012 of near-global, with a 10-km resolution (eddy-resolving) ocean general circulation model coupled with biogeochemistry. The model produces realistic variability of sea level, surface temperature and chlorophyll a, and model circulation is realistic in most aspects. Model output is suitable for broader analysis to better understand upper ocean dynamics and ocean variability at mid- and low latitudes.

For a more complete description and assessment of the output, please refer to: Oke, P. R. et al. Evaluation of a near-global eddy-resolving ocean model. Geosci. Model Dev., 6, 591-615, 2013 www.geosci-model-dev.net/6/591/2013/ doi:10.5194/gmd-6-591-20

Data Repository of the Ecosystem Modelling and Scaling Infrastructure Facility (DR e-MAST) TERN collection

TERN (funded by NCRIS and EIF) has been developing coherent community-wide management structures for several of the required key data streams, so the relevant data are no longer unmanaged. eMAST builds on this infrastructure, by generating products that integrate the different streams of data e.g. water use and other ecosystem functions. The eMAST ANUClimate climate surfaces will be the first, continental 0.01 degree (nominal 1km) resolution climate surfaces generated using the Hutchinson et al. (ANU) methodology. Combined with the ancillary bioclimatic, ecosystem variables and indices derived from these data, this will be the first complete collection of its kind made publically available as a single resource.

This collection of datasets, is a resource for the ecosystem science community and enhances the capacity for research. For example the development of an advanced benchmarking system for terrestrial ecosystem models (i.e. PALS). In addition, the data will be made accessible through the SPEDDEXES web-interface at the NCI, making the data sets conveniently available to a wide audience/community.

The datasets generated within the scope of eMAST focus on Australia ecosystems, but are expected to encourage global as well as national interests, because of the universal data formats use.

The project is thus expected to facilitate ecosystem modellers to perform comparative analyses of model performance; build new connections between Australian and overseas researchers, and between different research communities in Australia; and accelerate the development, testing and optimization of terrestrial ecosystem models.

Working towards the next generation of robust, process based ecosystem models; we are synthesizing observations of plant biophysical and physiological traits, developing gridded surfaces of these traits, and working with TERN MultiScale Plot Network to improve national coverage of trait measurements. Working in collaboration with international collaborators from NEON and NCAR; eMAST are demonstrating and developing Australia capacity for making models utilise these information rich collections.

Global Navigation Satellite System (GNSS) Data Archive

Geoscience Australia maintains an archive of Global Navigation Satellite System (GNSS) data from hundreds of GNSS sites throughout the world. The Global Positioning System (GPS) is the most well-known of the GNSS providers, however, in recent times, a number of other satellite constellations have been improved and developed including the GLObal NAvigation Satellite System (GLONASS; Russia), BeiDou (China), Galileo (European Space Agency) and Quazi Zenith Satellite System (QZSS; Japan). The GNSS archive which GA maintains is made up of daily observation files, real-time data and all the associated metadata from these providers. At each GNSS site, an antenna is used to detect the incoming frequencies transmitted by global (or regional) satellite constellations. These signals are then recorded on a receiver connected to the antenna and the data is processed to determine the precise positions of the GNSS sites. Although GPS data has traditionally been the main source of positioning data, Geoscience Australia is working closely with many of the GNSS providers and will be observing a greater amount of GNSS data in the future.

TERN eMAST Data Assimilation

This collection of datasets, is a resource for the ecosystem science community and enhances the capacity for research. For example the development of an advanced benchmarking system for terrestrial ecosystem models (i.e. PALS). In addition, the data will be made accessible through the SPEDDEXES web-interface at the NCI, making the data sets conveniently available to a wide audience/community.

The datasets generated within the scope of eMAST focus on Australia ecosystems, but are expected to encourage global as well as national interests, because of the universal data formats use.

The project is thus expected to facilitate ecosystem modellers to perform comparative analyses of model performance; build new connections between Australian and overseas researchers, and between different research communities in Australia; and accelerate the development, testing and optimization of terrestrial ecosystem models.

Working towards the next generation of robust, process based ecosystem models; we are synthesizing observations of plant biophysical and physiological traits, developing gridded surfaces of these traits, and working with TERNs MultiScale Plot Network to improve national coverage of trait measurements. Working in collaboration with international collaborators from NEON and NCAR; eMAST are demonstrating and developing Australias capacity for making models utilise these information rich collections.

Australian Bathymetry and Elevation

This collection includes three subcollections:

Digital Elevation Model (DEM) data which is used to describe Australia landforms and seabed is crucial for addressing issues relating to the impacts of climate change, disaster management, water security, environmental management, urban planning and infrastructure design. Geoscience Australia is working collaboratively across all levels of government, industry and academia to ensure decision makers, investors and communities have access to the best available elevation data to meet local, regional and national needs. The collection comprises the 1, 3 and 9 second, Shuttle Radar Topographic Mission (SRTM) datasets and derived products and Laser Inferometry Detection and Ranging (LIDAR) data. The DEM’s are available now on the NCI, whilst the LIDAR data will be added progressively.

This dataset is part of a repository of all available multibeam data in and around the Australian region. The data contained herein are for all multibeam surveys which are currently deemed to be open file.

The normally raw, but occasionally processed, data have been sourced from in-house surveys conducted by Geoscience Australia and by external organisations. The raw data files contain bathymetry data, often backscatter data and sometimes sidescan data.

Many of the survey datasets have subsequently been processed in-house using CARIS HIPS software and then exported to Generic Sensor Format (GSF). The processed data are harvested to fulfil requests for clients who typically search for all bathymetric data in a specified geographical area. Raw data might be disseminated to clients who would like to extract other parts of the binary data record.

Bathymetry Data in multiple formats, e.g. CARIS and Arc GIS grids, ASCII XYZ, geotif. Bathymetry is the study and mapping of seafloor topography. It involves obtaining measurements of the depth of the ocean and is equivalent to mapping the topography on land. Such measurements can be made using: multi beam (swath) echosounders; airborne laser measurements (LADS); derived depths from satellite remote sensing; singlebeam echosounders. The multi beam bathymetry datasets can originate from surveys conducted by Geoscience Australia or from data sourced from other Australian or foreign surveys undertaken in Australian waters. The spatial resolution of the bathymetry datasets can range from 1m to 50m depending on the acquisition system, water bottom reflectivity and the depth range. The data has been subject to independent post-production validation and testing. Tests have been performed for data completeness, correct spatial representation, attribute accuracy, logical consitency, metadata correctness and where appropriate for compliance with GA data dictionaries.

The bathymetry datasets are area based grids and were released by GA through the GeoCAT database (GA Products Catalog). The bathymetry datasets supports GA Strategic Plan in the provision and maintenance of a nationally important geoscience information collection. This significant dataset is constantly added to, improved and made accessible to the public. This product contributes in Improving Marine Planning and Protection. This dataset will help GA to prepare for forthcoming marine surveys and provide locations for data sampling. It can be used to prepare accurate hydrodynamic models for tsunami modelling. Bathymetry was also essential in Australian claim for the extended continental shelf at the UN. The AHO regularly use bathymetry data to update nautical charts. Bathymetry maps are important in the study of climate change, sea-level rise, subsidence, land slides and beach erosion. Bathymetry is important in characterisation of the seabed to define the habitat for benthic organisms and the study of the marine ecosystems.Up to date bathymetry needs to be incorporated into all new studies involving the seafloor.

Sydney Forecast Demonstration Project

National Water Data Assets

We currently have significant datasets that are of value to the wider environmental sciences community. These datasets are currently housed on infrastructure that is only accessible to the CSIRO and Bureau environmental sciences. The data has extended life and value as an asset to the wider science community and key Commonwealth agencies partners, such as Geosciences Australia. These data sets are spatio-temporal time series analysis of water level and other hydro-geological variables for a range of past and future scenario conditions.

The datasets covered in this proposal are:

1. Murray Darling Basin Plan Draft Report Rainfall and Runoff data. These are the datasets produced by the MDSY Project to underpin the information in the Murray Darling Basin Plan reports.

2. The Australian Water Resources Assessment system Landscape model (AWRA-L) is a grid distributed biophysical model that simulates water stores and flows in the vegetation, soil and local catchment groundwater systems. The model aims to produce interpretable water balance component estimates, and as much as possible agree with water balance observations, including point gauging data and satellite observations. The model is intended to be parsimonious rather than comprehensive, to supports its use at moderate (1-10 km) resolution and in environments with few on-ground observations to constrain it. However in some instances a compromise needed to be found between a desire for parsimony and the requirement to simulate particular water balance terms. Data expected to become available over time are : a. AWRA (Australia Water Resources Assessment) model outputs These provide daily continental datasets of streamflow, soil moisture, evapotranspiration b. Dataset of evapotranspiration estimates using the CSIRO MODIS Reflectance-based Scaling (CMRS) method c. AWRA calibration and benchmarking datasets This is data collated and reviewed for the purposes of calibrating and benchmarking the AWRA model. It comprises gauged streamflow, soils moisture measurements, evapo-transpiration measurements.

3. Bioregional Assessment data In response to community concerns about the potential risks from coal seam gas (CSG) and large coal mining developments, the Australian Government has agreed to strengthen regulation by ensuring decisions are informed by substantially improved science and independent expert advice. In order to better understand how these potential risks may impact our water resources, scientific investigations – called Bioregional Assessments – are being undertaken in selected regions. Bioregional assessments are world-first, science based studies that will develop detailed, multi-layered records of the natural environment in a particular geographic region.

Phenology Monitoring : A Network of Near Surface Remote Sensors and Associated Imagery

The Terrestrial Ecosystem Research network (TERN) is an Australian government funded body that Phenocams are digital cameras that are installed at ecological field sites for time-series imaging. They are used for phenological research: the study of cyclic and seasonal variation in biological systems. They produce a collection of digital images that can be used with image processing software to extract data and analyzed for signals that are informative of ecosystem processes. From 11th to 14th March 2014 the TERN-funded Australian Centre for Ecological Analysis and Synthesis (ACEAS) held a working group retreat at the Moreton Bay Research Station. The primary topic of discussion was a review of the current use of Phenocams in Australia and a strategy to develop these isolated efforts into an Australian Phenocam Network. The Australian SuperSite Network – SuperSites (another-TERN funded facility) made a commitment at that meeting to support the development of this network and implementation of the recommendations made by the ACEAS Phenocam working group.

This data collection can be used to address the following key research questions: What are the biological and climate drivers of plant phenological processes in Australia? How does seasonality and temperature control leaf flushing? What are the effects of drought on leaf shedding and inhibition of leaf growth? How does seasonality and drought interplay with external drivers such as insect herbivory and fire? Distinguishing seasonal phenology (classic) vs. non-seasonal responses to climatic drivers (eg response to rain pulses, etc.).

More information about this collection can be found at http://www.tern-supersites.net.au

Project specific catalogue note can be found at http://geonetworkrr9.nci.org.au

ANU Water and Landscape Dynamics

This is a collection of datasets generated by the Water and Landscape Dynamics group in the Fenner School of Environment and Society, Australian National University. The datasets include water resource forecasting and availability from satellite data and models for bushfire, flood and environmental impacts.

CSIRO Coastal Modelling Products (eReefs)

Collection of various coastal modelling data. They include output from near-real time and hindcast models of hydrodynamics as well as ecological and sediment processes. These models are of varying resolution and incorporate boundary data both from global and regional models as well as measured data in the case of stream flows. Calibration and validation is performed using measured data and there are data assimilating products also available.

In Collaboration With