Estimated Average Annual Temperature
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  Estimated Average Annual Temperature

dataset: TEMP20
Estimated long-term mean annual temperature interpolated to a 20m grid cell using the DEM20 layer and the ANUCLIM software.
 
Citation proposal Citation proposal
(2009)

Estimated Average Annual Temperature

Department of Environment, Land, Water & Planning

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/b6b1377e-7e48-50e8-821a-80cc2a9c00a6
 

Details

Contacts

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

  Point of contact

Department of Environment, Land, Water & Planning - Sam Ebert (left)   (GIS Specialist - Wodonga)  
PO Box 303
Wodonga
VIC
3689
Australia
 

Identifiers and Keywords

ANZLIC Id
ANZVI0803003451 
Jurisdiction
Victoria 
Topic category
  • Climatology, meteorology, atmosphere
 

Resource Constraints

Use limitation
Available under licence 
Classification
Unclassified  

Legal constraints

Citation

Title
DELWP Data License 
Website
 

License Text

Use constraints
Restricted  
 

Other Dataset Details

Date ( Revision )
2009-09-07
Status
Completed  
Purpose
Generation of maps showing graduations in average annual temperature. Environmental modelling. 
Credit
Sam Ebert, DSE Wodonga Craig Hamilton, DSE Wodonga Terry McLLean, DPI Rutherglen 
Format
DIGITAL Arc/Info Revision 7 Grid library 2 
Supplemental Information
Relationship to other Datasets: The layer is derived using ESOCLIM and DEM250. For a given area one can expect high correlations between RAIN<month> and DEM250 Current Design Issues: The layer is a raster dataset, ie. a GRID. To reduce disk storage it is stored as an integer value grid with precision maintained to two decimal places using: value = mm/annum * 100. Future Design Issues: As DEM250 is replaced by a higher resolution DEM it may be appropriate to re-calculate the rainfall estimates. For specific areas it will be appropriate to use additional rainfall data to update the ESOCLIM surfaces and generate higher resolution rainfall estimates. Layer design should be revised at that time. Related Documents: None ESOCLIM documentation (CLIM_GRD.DOC) ANUCLIM Users Guide 
Maintenance and update frequency
Irregular  
 

Spatial

Spatial representation type
Grid  
Description
Victoria 
Reference system identifier
4283

N
S
E
W


 

Temporal

Begin date
2007-11-01 
End date
2007-11-30 
 

Resolution

Horizontal Accuracy
100m  
 

Quality

Missing Data
Complete for the state. Complete for all Victorian Catchment Management Authority (CMA's) areas. 
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 VICMAP_ELEVATION_DTM_20M. 
 

Lineage

Description
ArcInfo Workstation converts a GRID to an ascii file suitable for input to ANUCLIM and runs the program. A number of small, customised programs are used in this process. Output files are large (160 bytes/cell), prohibiting estimation of multiple variables for large grids in a single pass. ArcGIS Toolbox converts ANUCLIM output files to ARC/INFO grids, using standard names for the output grids. Output grids are maintained as floating. 
Statement
Dataset Source: The dataset is an output from the ANUCLIM program, which interrogates pre-existing interpolated surfaces using, as input variables, latitude, longitude, and elevation. DEM20 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. Further details regarding the derivation process can be obtained from ANUCLIM Users Guide. ANUCLIM is licenced software, CRES may lay some claim to datasets derived using ANUCLIM. Dataset Originality: Derived 
 

About the Metadata Record

Metadata identifier
b6b1377e-7e48-50e8-821a-80cc2a9c00a6

Contact  

No information provided.
Resource Type
Dataset  
Date info ( Revision )
2009-09-07
Standard Name
ISO 19115-3:2018 
Profile Name
DELWP Profile 
Profile Version
Version 1 
Profile Date
2019-05-24  
 

Metadata Constraints

Classification
Unclassified  
 
 

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