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Section 1: Overview
Name of Research Project
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Related Project
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Program Affiliations
Related Research Project(s)
Dataset Title
Evaporation modelling gridded data and meteorological station data for a case study at a rolling prairie landscape at St. Denis National Wildlife Area, Saskatchewan, Canada
Additional Information
Creators and Contributors
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Robert Armstrong | Author; Point of Contact | r.armstrong1@uq.edu.au | University of Saskatchewan; University of Queensland |
John Pomeroy | Author | | University of Saskatchewan |
Lawrence Martz | Author | | University of Saskatchewan |
Abstract
This data set contains gridded outputs and surface data collected for a case study conducted on August 5, 2007 at St. Denis National Wildlife Area in central Saskatchewan, Canada. The data is provided in reference to the paper published in Hydrol. Earth Syst. Sci., 23, 4891–4907, 2019, ‘Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data’ at
https://doi.org/10.5194/hess-23-4891-2019
Purpose
Plain Language Summary
Keywords
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actual evaporation |
remote sensing |
surface reference data |
evaporation modelling |
spatial variability |
ratiometric index |
eddy covariance |
Citations
Armstrong, R., Pomeroy, J., Martz, L. (2019). Evaporation modelling gridded data and meteorological station data for a case study at a rolling prairie landscape at St. Denis National Wildlife Area, Saskatchewan, Canada [Dataset]. Federated Research Data Repository.
https://doi.org/10.20383/101.0192
Section 3: Status and Provenance
Dataset Version
1
Dataset Creation Date
2019-11-28
Status of data collection/production
Dataset Completion or Abandonment Date
2019-11-28
Data Update Frequency
Creation Software
Primary Source of Data
Other Source of Data (if applicable)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
1. Description of methods used for collection/generation of data: See Armstrong et al. (2019):
Armstrong, R., Pomeroy, J., Martz, L. (2019). Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data. Hydrol. Earth Syst. Sci., 23, 4891-4907, 2019.
2. Methods for processing the data: Gridded data generation and analysis was done with geospatial and computational methods using ArcGIS software. 'R' statistical and programming language was used to perform additional statistical analysis.
Section 4: Access and Downloads
Access to the Dataset
Terms of Use
Does the data have access restrictions?
Downloading and Characteristics of the Dataset
Download Links and Instructions
Total Size of all Dataset Files (GB)
0.003
File formats and online databases
Other Data Formats (if applicable)
List of Parameters and Variables
Metadata Editor
Record List
Alias List Editor
Legacy sites
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