Hydrography (HY) Iceland is one of 12 themes in the European Location Project (ELF). The purpose of ELF is to create harmonised cross-border, cross-theme and cross-resolution pan-European reference data from national contributions. The goal is to provide INSPIRE-compliant data for Europe. A description of the ELF (European Location Project) is here: http://www.elfproject.eu/content/overview Encoding: INSPIRE version 4

Stream routes. Each stream channel is represented by a single line. Derived from the Stream Centreline Network Spatial layer and based on the 1:50,000 scale Canadian National Topographic Series of Maps.

Watershed polygons of Third Order and greater based on the Strahler Stream Order classification method and the 1:50,000 scale Canadian National Topographic Series of maps.

The “Gross and Effective Drainage Area Boundaries of the AAFC Watersheds Project - 2013” dataset is a geospatial data layer containing line features representing boundaries associated with the ‘incremental gross drainage areas’ of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. The project is subdivided by hydrometric gauging station. The maximum area that could contribute runoff to each station, less that of its upstream neighbour(s) is called its ‘incremental gross drainage area’. Two types of boundary are provided: ‘gross’ and ‘effective’. ‘Gross’ boundaries separate adjacent incremental gross drainage areas. ‘Effective’ boundaries delimit, within each incremental gross drainage area, the separation between areas that supply runoff, based on average runoff, from those that don’t.

The "Areas of Non-Contributing Drainage within Total Gross Drainage Areas of the AAFC Watersheds Project - 2013" dataset is a geospatial data layer containing polygon features representing the areas within the “total gross drainage areas” of each gauging station of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project that DO NOT contribute to average runoff. A “total gross drainage area” is the maximum area that could contribute runoff for a single gauging station – the “areas of non-contributing drainage” are those parts of that “total gross drainage area” that DO NOT contribute to average runoff. For each “total gross drainage area” there can be none to several unconnected “areas of non-contributing drainage”. These polygons may overlap with those from other gauging stations’ “total gross drainage area”, as upstream land surfaces form part of multiple downstream gauging stations’ “total gross drainage areas”.

This layer represents Water Survey of Canada (WSC) and United States Geological Survey (USGS) gauge stations that meet the following criteria for inclusion: at least 10 years or data (with 350 or more days of observations) above the low outlier threshold; less than 20% (by basin drainage area) regulation; a corresponding basin polygon dataset (either supplied or delineated) with a area <15% different than the basin area reported by WSC or USGS; full metadata coverage for the basin (e.g. mean annual precipitation, elevation, etc.); and 1-, 3-, 5-, and -10 day distribution fits that did not overlap for any Average Recurrence Interval’s (ARI) above 2 years. See Bulletin 2020-1-RFFA British Columbia Extreme Flood Project – Regional Flood Frequency Analysis – Technical development report and manual to complete a regional flood frequency analysis.

This ArcGIS Online application displays the hydrometric stations and accompanying drainage areas analyzed as part of Bulletin 2020-1-RFFA described below. A frequency analysis was conducted on Annual Maximum Series (AMS) streamflow data collected at Water Survey of Canada (WSC) and United States Geological Survey (USGS) hydrometric gauge stations that met the following criteria for inclusion in the Bulletin 2020-1-RFFA study: at least 10 years or data (with 350 or more days of observations) above the low outlier threshold; less than 20% (by basin drainage area) regulation; a corresponding basin polygon dataset (either supplied or delineated) with an area <15% different than the basin area reported by WSC or USGS; full metadata coverage for the basin (e.g. mean annual precipitation, elevation, etc.); and 1-, 3-, 5-, and -10 day distribution fits that did not overlap for any Average Recurrence Interval’s (ARI) above 2 years. The analysis was conducted by Northwest Hydraulic Consultants and RTI International Inc. for the Water Management Branch of FLNRORD. The geographic area of the dataset is shown in Bulletin 2020-1-RFFA and consists of all of British Columbia and selected watersheds around the perimeter of the province. There are 3 datasets within this project consisting of: • Hydrometric station locations of the stations that were analyzed as part of the study. • The drainage areas of the respective hydrometric stations that were analyzed. • The BC Hydrologic Zones that were extended outside of BC.

The water level data comes from the groundwater monitoring network of Saskatchewan (Canadian province). Each well in the observation network is equipped with a hydrostatic pressure transducer and a temperature sensor connected to a data logger. A second pressure transducer located above the water surface allows for adjusting the water level according to atmospheric pressure variations. The time series refers to the level below which the soil is saturated with water at the site and at the time indicated. The water level is expressed in meters above sea level (MASL). The dataset consists of a general description of the observation site including; the identifier, the name, the location, the elevation and a series of numerical values designating the water levels at a defined date and time of measurement.

Estimation of diatom assemblage changes over a period of about 200 years (top versus bottom sediment cores). Figure 4-14 Map showing the magnitude of change in diatom assemblages between bottom (pre-industrial) and top (modern) section of the cores, estimated by Bray-Curtis (B-C) dissimilarity. Boundaries for the B-C dissimilarity categories are based on distribution quartiles (0-30%, 30-40%, 40- 50% and >50%), where the lowest values (blue dots) represent the lowest degree of change in diatom assemblage composition between top and bottom sediment core samples in each lake. State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 41 - Figure 4-14

The “Major Basins of the AAFC Watersheds Project - 2013” dataset is a geospatial data layer containing polygon features representing the 23 major basins of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. The Project is subdivided by ‘incremental gross drainage areas’ associated to individual hydrometric gauging stations. The maximum area that could contribute runoff to each gauging station, less that of its upstream neighbour(s) is called an ‘incremental gross drainage area’. Conceptually, the major basins are collections of the “incremental gross drainage areas” associated with particular major river or lake reach (for example, reaches of the Saskatchewan or Athabasca River). In practice, each major basin consists of the collection of incremental gross drainage areas, whose gauging stations’ numbers have collections of the same three first characters. For example, the Assiniboine River major basin contains the incremental gross drainage areas whose gauging station numbers start with 05J, 05M, or 05N.