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Identification

Field Value

Title

Water Modelling-Palaeo Stochastic Climate Data-Lower North Coast and Hunter

Abstract

This stochastic climate dataset relates to the Lower North Coast and Hunter region.

The stochastic data are 10,000-year daily data sets of rainfall and potential evapotranspiration generated using observed data sets combined with palaeo-logical climate data. This work has been undertaken by researchers at University of Adelaide and University of Newcastle and used in Regional Water Strategies.

The climate for each climate variable is uploaded as a single ZIP file, which includes three files:

  1. a .csv file of daily climate data of 10,000 years (format: date, data; filename starts with station ID)
  2. a pdf file of the meta data of the climate data describing the geographic location of the climate station, data type, period of observed data used for generating stochastic data, a location map.
  3. a pdf file of the quality assurance information.

The climate variables include one or more of the following: rainfall, evapotranspiration (Mwet: Morton’s wet area potential evapotranspiration, Mlake: Morton’s lake evaporation, Penman-Monteith reference evapotranspiration (FAO56)), Maximum temperature, Minimum temperature.

Note: Within each ZIP file, the number seen within the filename i.e. 9093_SILO_Rain.zip represents the Station ID Number 59093.

Resource locator

Data Quality Statement

Name: Data Quality Statement

Protocol: WWW:DOWNLOAD-1.0-http--download

Description:

Data quality statement

Function: download

Lower North Coast and Hunter zip Files

Name: Lower North Coast and Hunter zip Files

Protocol: WWW:DOWNLOAD-1.0-http--download

Description:

Contains all of the Stochastic Climate Data files within the Lower North Coast and Hunter region.

Note: Within each ZIP file, the number seen within the filename i.e. 59093_SILO_Rain.zip represents the Station ID Number 59093. The climate variables include one or more of the following: rainfall, evapotranspiration (Mwet: Morton’s wet area potential evapotranspiration, Mlake: Morton’s lake evaporation, Penman-Monteith reference evapotranspiration (FAO56)), Maximum temperature, Minimum temperature. Refer to the Metadata PDF file for full description.

Function: download

Map View for data download by regions

Name: Map View for data download by regions

Protocol: WWW:DOWNLOAD-1.0-http--download

Description:

All the regions are shown in this map (ESRI Rest Map Service Format), and the data can be downloaded by clicking each region area/polygon.

Function: download

Map View for Silo Stations

Name: Map View for Silo Stations

Protocol: WWW:DOWNLOAD-1.0-http--download

Description:

All the silo stations are shown in this map for the reference (ESRI Rest Map Service Format).

Function: download

Unique resource identifier

Code

91ffa243-8846-436a-8007-bdf9f7933ae9

Presentation form

Table digital

Edition

1.0

Dataset language

English

Metadata standard

Name

ISO 19115

Edition

2016

Dataset URI

https://datasets.seed.nsw.gov.au/dataset/91ffa243-8846-436a-8007-bdf9f7933ae9

Purpose

Climate data is a fundamental input dataset required for water modelling. The stochastic climate data is 10,000 years of daily data representing the variability of the long-term climate at a location generated. The primary purpose of the stochastic climate data is to be used as input data for water modelling to analysis water related outcomes of river basins under long-term climate and inform the development of water policies, planning and strategies for water management. Climate data is a fundamental input dataset required for water modelling. Rainfall and potential evapotranspiration are the two main types of climate required for the types of water models used for water planning. Temperature data is used in some of the water models (in particular for snowmelt modelling, water demand modelling). Climate data in daily temporal resolution is used as input data to water models of varying types, purposes, and complexity. The water models transform this input data to produce a range of water related modelled data. Stochastic climate data has been generated based on observed climate dataset combined with paleo-climatic information. The observed data is downloaded from the SILO data-base of Australian climate data (https://www.longpaddock.qld.gov.au/silo/), which has climate data from 1889-present based on instrumental records at thousands of climate stations. The stochastic data are 10,000-year daily data sets of each climate data at different climate stations.

Status

On going

Spatial representation type

textTable

Spatial reference system

Code identifying the spatial reference system

4283

Spatial resolution

1 km

Additional information source

Raw data series commenced 01/01/0000 to 31/12/9999

Classification of spatial data and services

Field Value

Topic category

Keywords

Field Value

Keyword set

keyword value

WATER

Originating controlled vocabulary

Title

ANZLIC Search Words

Reference date

2008-05-16

Geographic location

West bounding longitude

149.66

East bounding longitude

152.75

North bounding latitude

-33.4

South bounding latitude

-31.27

NSW Place Name

Lower North Coast and Hunter

Vertical extent information

Minimum value

-100

Maximum value

2228

Coordinate reference system

Authority code

urn:ogc:def:cs:EPSG::

Code identifying the coordinate reference system

5711

Temporal extent

Begin position

0001-01-01

End position

N/A

Dataset reference date

Resource maintenance

Maintenance and update frequency

As needed

Contact info

Contact position

Data Broker

Organisation name

NSW Department of Climate Change, Energy, the Environment and Water

Telephone number

131555

Email address

data.broker@environment.nsw.gov.au

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

pointOfContact

Quality and validity

Field Value

Lineage

The stochastic data are 10,000-year daily data sets at different climate stations, which were generated using observed or derived data sets combined with palaeo-logical climate data information. This work was undertaken by researchers at University of Adelaide and University of Newcastle and used in Regional Water Strategies. The stochastic data were generated region by region with spatial and temporal consistency of the data between regions maintained. Stochastic datasets were generated using the observed climate data and paleo-climatic information. The observed and derived data is downloaded from the SILO data-base of Australian climate data (https://www.longpaddock.qld.gov.au/silo/), which has climate data from 1889-present.

Constraints related to access and use

Field Value

Limitations on public access

Responsible organisations

Field Value

Responsible party

Contact position

Data Broker

Organisation name

NSW Department of Climate Change, Energy, the Environment and Water

Telephone number

131555

Email address

data.broker@environment.nsw.gov.au

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

pointOfContact

Metadata on metadata

Field Value

Metadata point of contact

Contact position

Data Broker

Organisation name

NSW Department of Climate Change, Energy, the Environment and Water

Telephone number

131555

Email address

data.broker@environment.nsw.gov.au

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

pointOfContact

Metadata date

2024-08-20T21:38:31.817430

Metadata language