Estimated mean annual monthly evaporation
dataset:
EVAP_ANN
Estimated long-term mean annual evaporation 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 annual monthly evaporation Department of Environment, Land, Water & Planning https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/e666a408-167b-5577-8006-56f69f95cb4f |
Details
Contacts
Cited responsible party
No information provided.
Cited responsible party
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Cited responsible party
No information provided.
Cited responsible party
No information provided.
Point of contact
Department of Environment, Land, Water & Planning
-
Mark O'Brien (Retired)
(Vicmap Data Supply)
PO Box 500
East Melbourne
VIC
3002
Australia
Identifiers and Keywords
- ANZLIC Id
- ANZVI0803002012
- Jurisdiction
- Victoria
- Topic category
-
- Climatology, meteorology, atmosphere
Resource Constraints
- Use limitation
- licence required
- Classification
- Unclassified
Other Dataset Details
- Date ( Revision )
- 2006-05-23
- Status
- Completed
- Purpose
- Generation of maps showing mean annual evaporation. Generation of maps of isolines of evaporation. Environmental modelling species distributions recharge areas site suitability analyses catchment analyses other
- Credit
- Adam Lewis
- Format
- DIGITAL Arc/Info Revision 7 Grid layer 2
- Supplemental Information
- Relationship to other Datasets: The layer is derived using monthly evaporation estimates (EVAP_{month}), which were summed in GRID. The monthly esimates were produced using ESOCLIM and DEM250. For a given area high correlations between EVAP_ANN and DEM250 can be expected. Current Design Issues: The layer is a raster data set, ie. a GRID. The units of the values are mm/day. Future Design Issues: As DEM250 is replaced by a higher resolution DEM it may be appropriate to re-calculate the evaporation estimates. For specific areas it will be appropriate to use additional evaporation data to update the ESOCLIM surfaces and generate higher resolution evaporation estimates. Layer design should be reviewed at that time. Related Documents: None ESOCLIM documentation (CLIM_GRD.DOC) ANUCLIM Users Guide
- Maintenance and update frequency
- Not planned
Spatial
- Spatial representation type
- Grid
- Description
- General - Victoria
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 program DEM2ESO.AML (A. Lewis, NRS) 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.
- 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
About the Metadata Record
- Metadata identifier
- e666a408-167b-5577-8006-56f69f95cb4f
Contact
No information provided.
- Resource Type
- Dataset
- Date info ( Revision )
- 2006-05-23
- 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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