Contacts

Identifiers and Keywords

ANZLIC Id

ANZVI0803004076 

Jurisdiction

Victoria 

Topic category

• Climatology, meteorology, atmosphere

Resource Constraints

Use limitation

Data is available under licence. 

Classification

Unclassified  

Other Dataset Details

Date ( Revision )

2011-08-05

Status

Completed  

Purpose

Generation of maps showing gradations in mean annual temperature Generation of maps of isolines of annual temperature. Environmental modelling: species distributions site suitability analyses catchment analyses other 

Credit

Adam Lewis. 

Format

DIGITAL Arc/Info Revision 7 Grid library 14 

Supplemental Information

History: Refer to CLIM_GRD.DOC Relationship to other Datasets: The layer is derived from estimated monthly maximum and minimum temperature layers, mint_jan, maxt_jan, mint_feb, maxt_feb ... mint_dec, maxt_dec by direct addition in GRID. These in turn are derived using ESOCLIM and DEM250. For a given area one can expect high correlations between TEMP_ANN and DEM250. Current Design Issues: The layer is a raster data set ie. a GRID. To reduce disk storage it is stored as an integer value grid with precision maintained to two decimal places using: value = C° * 10. Future Design Issues: As DEM250 is replaced by a higher resolution DEM it may be appropriate to re-calculate the maximum temperature estimates. For specific areas it will be appropriate to use additional temperature data to update the ESOCLIM surfaces and generate higher resolution temperature estimates. Layer design should be revised at that time. Related Documents: None ESOCLIM documentation (See CLIM-GRD.DOC) ANUCLIM Users Guide 

Maintenance and update frequency

Not planned  

Spatial

Spatial representation type

Grid  

Description

General - Victoria 

Reference system identifier

4283

N

S

E

W

Temporal

Begin date

1995-07-01 

End date

1995-07-31 

Resolution

Horizontal Accuracy

100m  

Quality

Missing Data

Complete for the state. Complete for the state. 

Attribute Quality

Normally claimed to be within 5% of the actual value. This is based on a generalised cross-validation algorithm which carries out the original interpolation without each point in turn, and compares the interpolated value at that point with the observed value. 

Positional Accuracy

Precision: 10-100m Determination: Based on the input map scale for the data underpinning DEM250. 

Lineage

Description

The dataset is an output from the ESOCLIM program, which interrogates pre-existing interpolated surfaces using, as input variables, latitude, longitude, and elevation. DEM250 is used to estimate elevation. The original surfaces are interpolations of climate variables using minimum curvature multi-dimensional splining algorithms developed by Dr. Mike Hutchinson of the Centre for Resource and Environmental Studies (CRES) ANU. The interpolations were developed by June McMahon and others at CRES. References are given with the attached documentation (CLIM_GRD.DOC) and further details regarding the derivation process can be obtained from ANUCLIM Users Guide. ESOCLIM is a licenced software, CRES may lay some claim to datasets derived using ESOCLIM. 

Statement

Dataset Source: The dataset is an output from the ESOCLIM program, which interrogates pre-existing interpolated surfaces using, as input variables, latitude, longitude, and elevation. DEM250 is used to estimate elevation. The original surfaces are interpolations of climate variables using minimum curvature multi-dimensional splining algorithms developed by Dr. Mike Hutchinson of the Centre for Resource and Environmental Studies (CRES) ANU. The interpolations were developed by June McMahon and others at CRES. References are given with the attached documentation (CLIM_GRD.DOC) and further details regarding the derivation process can be obtained from ANUCLIM User³s Guide.<P>ESOCLIM is a licenced software, CRES may lay some claim to datasets derived using ESOCLIM. Dataset Originality: Derived 

About the Metadata Record

Metadata identifier

urn:uuid / b627570e-1da1-5095-9237-c82d6bdb7b0c