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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
Core Modelling and Forecasting Team
WRM
Dataset Title
Select regulated reservoir data in the Arctic drainage basin
Additional Information
GeoNetwork record: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/1d20e7a1-ac8e-40fd-82be-59e977502f5b
Abstract
In order to study the historic operations of regulated waterbodies and to predict future conditions (outflow from lakes and level of reservoir), we collect streamflow and water level data for regulated lakes and waterbodies throughout the Arctic drainage basin. This dataset contains historic, measured timeseries for discrete locations describing key hydrometric variables (inflow, outflow, and reservoir levels) for regulated waterbodies throughout the Arctic drainage basin (primarily Nelson, Churchill, Moose, Albany, Yukon, Yenisey, Ob, and Lena rivers). These data are collected from open-source (governmental and non-governmental) organizations and used with acknowledgement.
Purpose
The purpose is to develop a reservoir module that will work with any hydrological models and land surface schemes. As part of this work, reservoir data from dozens of reservoirs across the Arctic drainage basin was collected. This project supports the Water Resources Management theme of the Core Modelling and Forecasting Team.
Temporal Extent
Begin Date
End Date
1971-01-01
2018-12-31
Geographic Bounding Box
West Boundary Longitude
-180
East Boundary Longitude
180
North Boundary Latitude
85
South Boundary Latitude
40
Is Boundary Rectangular
○ Yes
◉ No
Research Site Description (if needed)
Arctic Ocean Drainage Basin
Research Site Location
Map Not Available
Display
View on Global Map
Dataset Version
1
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
○ As needed
◉ Irregular
○ None planned
○ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
◻ Field collected samples
◻ Field experiment
◻ Field observation
▣ Field survey
◻ Human biological samples
◻ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Download Links and Instructions
Contact Andrew Tefs (andrew.tefs@uclgary.ca) Data Sources: -Water Survey of Canada (WSC). (2020). Water Survey of Canada. Ottawa: Environment Canada available at: https://wateroffice.ec.gc.ca/mainmenu/historical_data_index_e.html -Global Runoff Data Centre (GRDC). (2020). Monthly data of the 560 stations Arctic‐HYCOS basic network available at: https://www.bafg.de/GRDC/EN/04_spcldtbss/41_ARDB/ArcticHYCOSData.html?nn=201698 -United States Department of Agriculture's Foreign Agricultural Service (USDA-FAS). (2020). Global Reservoirs and Lakes Monitor (G-REALM). United States Department of Agriculture's. available at: https://ipad.fas.usda.gov/cropexplorer/global_reservoir/
Total Size of all Dataset Files (GB)
0.2
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
▣ CSV files (.csv - comma or tab separated value files)
◻ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
▣ Text files (.txt)
◻ Word document files (.docx, .doc)
◻ Other (Please specify in field below)
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