VPAC - Temperature
dataset:
TEMP_ANN20_GRID
Estimated long-term mean annual temperature interpolated to a 500m grid cell using the DEM250 layer and the ESOCLIM software.
|
Citation proposal Citation proposal
(2011) VPAC - Temperature Department of Environment, Land, Water & Planning https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/b627570e-1da1-5095-9237-c82d6bdb7b0c |
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
-
Hamilton Craig MR
(GIS - Wodonga)
1 McKoy St
Wodonga
Vic
3690
Australia
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
- b627570e-1da1-5095-9237-c82d6bdb7b0c
Contact
No information provided.
- Resource Type
- Dataset
- Date info ( Revision )
- 2011-08-05
- Standard Name
- ISO 19115-3:2018
- Profile Name
- DELWP Profile
- Profile Version
- Version 1
- Profile Date
- 2019-05-24
Metadata Constraints
- Classification
- Unclassified
Overviews
Provided by
Views Views
b627570e-1da1-5095-9237-c82d6bdb7b0c
Access to the portal Access to the portal
Read here the full details and access to the data. Read here the full details and access to the data.
Associated resources
Not available