Estimated mean monthly daily minimum temperature
dataset:
MINT_{month}
Estimated long-term mean monthly daily minimum temperature interpolated to a 500m grid cell using the DEM250 layer and the ESOCLIM software.
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Citation proposal Citation proposal
(2006) Estimated mean monthly daily minimum temperature Department of Environment, Land, Water & Planning https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/ab5ad4b6-4bd9-51e4-a305-bfe00b24ddcb |
- Description
- Temporal
- Spatial
- Maintenance
- Format
- Contacts
- Keywords
- Resource Constraints
- Lineage
- Metadata Constraints
- Quality
- Acquisition Info
- Raster Data Details
- Raster Type Details
- Point Cloud Data Details
- Contour Data Details
- Survey Details
Simple
Description
- Title
- Estimated mean monthly daily minimum temperature
- Alternate title
- MINT_{month}
- Purpose
- Generation of maps showing gradations in mean monthly daily minimum temperature Generation of maps of isohyets Environmental modelling: species distributions site suitability analyses catchment analyses other Derivation of TEMP_ANN and other variables such as average of mean monthly daily mean temperature in winter, or mean monthly daily mean temperature in the driest quarter etc.
- Credit
- Adam Lewis
- Supplemental Information
- History: Refer to CLIM_GRD.DOC Relationship to other Datasets: The layer is derived using ESOCLIM and DEM250. For a given area one can expect high correlations between MINT_<month> 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° * 100. Future Design Issues: As DEM250 is replaced by a higher resolution DEM it may be appropriate to re-calculate the minimum 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
- Status
- Completed
Temporal
Spatial
- Horizontal Accuracy
- 100m
Maintenance
- Maintenance and update frequency
- Not planned
Format
- Title
- DIGITAL Arc/Info Revision 7 Grid library 2
Contacts
Point of contact
Department of Environment, Land, Water & Planning
-
Mark O'Brien (Retired)
(Vicmap Data Supply)
PO Box 500
East Melbourne
VIC
3002
Australia
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Keywords
- Topic category
-
- Climatology, meteorology, atmosphere
Resource Constraints
- Use limitation
- Available under licence
- Classification
- Unclassified
Lineage
- 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 Users Guide. ESOCLIM is a licensed software, CRES may lay some claim to datasets derived using ESOCLIM. Dataset Originality: Derived
- Description
- The program DEM2ESO.AML (A. Lewis) converts a GRID to an ASCII file suitable for input to ESOCLIM 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. This program is developmental at this time. The program ESO2ARC.AML converts ESOCLIM output files to ARC/INFO grids, using standard names for the output grids. Output grids are maintained as integer values after multiplication by 100.
Metadata Constraints
- Classification
- Unclassified
Quality
Attribute Quality
- Comments
- 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
- Comments
- Precision:10-100m Determination:Based on the input map scale for the data underpinning DEM250.
Conceptual Consistency
Missing Data
- Comments
- Complete for the state. Complete for the state.
Excess Data
Acquisition Info
Raster Data Details
Point Cloud Data Details
Contour Data Details
Survey Details
Overviews
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Associated resources
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