Full description
KSN Project 2.2.2 provides key information on the oceanographic and biological forcing associated with nutrient supply that determines the near-shore productivity of the Kimberley region, and links these with higher trophic levels. Key objectives of the research were - To make new estimates of pelagic primary productivity, identifying the key physical and community processes driving production in the region. - To better describe the phytoplankton and zooplankton communities in coastal waters of the Kimberley, to determine the trophic linkages within these communities and to identify the key factors controlling pelagic secondary productivity. - To integrate these parameters into an extensible biogeochemical modelling framework, allowing predictive linkages between physical and biological processes in the region. This metadata records specifically relates to modelling aspects of the project completed by CSIRO. The data originates from a number of model simulations conducted between 3/1/2010 to 21/12/2010. All field data is held by AIMS.Lineage: This data consists of numerical model output produced using the Regional Ocean Modelling System version 3.6 (http://www.myroms.org), and is provided in a set of NetCDF files. Each file contains daily average values (covering the period 3/1/2010 until 21/12/2010) at every model grid point for all the variables analysed in the report. Annual averages presented in the report were constructed using the NCO toolbox (http://nco.sourceforge.net/). Details of the various model settings, open-boundary conditions and parameter values are included in the header information provided with each of the data files. Details of the model initialisation procedure and the forcing data used to run the model is provided in the accompanying final WAMSI KSN 2.2.2 Project Report.
Available: 2016-06-22
Data time period: 2013-01-01 to 2016-01-01
Subjects
Artificial Intelligence |
Biological Oceanography |
Chlorophyll |
Coastal Processes |
Conservation |
Earth Sciences |
Information and Computing Sciences |
Modelling and Simulation |
North-west |
Nutrients |
Oceanography |
Western Australian Marine Science Institute |
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
Identifiers
- DOI : 10.4225/08/595516226B9CA
- Handle : 102.100.100/38507
- URL : data.csiro.au/collection/csiro:17973
