Fisheries and Oceans Canada (DFO) has been conducting surface water trawl surveys since 1992 in the coastal waters of British Columbia, Washington, Oregon and Alaska and in the high seas of the Gulf of Alaska. These surveys initially focused on determining the migratory patterns (1992-2002) and on the growth and physiology (2003-2016) of juvenile Pacific Salmon. Since 2016, the focus has been expanded to include all components of the pelagic ecosystem while retaining a strong focus on juvenile Pacific Salmon. Given the change in research priorities, there are differences between years in location and timing. The survey series are provided based on large marine ecosystems, so data will vary in availability. These survey data contain fishing and catch information along with biological information recorded. Surveys available here have published reports that outline overall operations and any oceanographic data, zooplankton and additional samples collected.

Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The maximum daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. Agriculture is an important primary production sector in Canada. Agricultural production, profitability, sustainability and food security depend on many agrometeorological factors. Extreme weather events in Canada, such as drought, floods, heat waves, frosts and high intensity storms, have the ability to significantly impact field crop production. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily basis.

Growing Season Frost Free Period (-2 °C) is defined as the count of the number of days from the day after the last spring frost (-2 °C) to the day before the first fall frost (-2 °C). These values are calculated across Canada in 10x10 km cells.

The Agri-Environmental Indicator Risk of Water Contamination by Coliforms provides two variables including the Soil Coliform Load and the Coliform Risk to Water. The Soil Coliform Load indicator is the estimated accumulation of coliforms on the soil and the Coliform Risk to Water indicator is the relative risk of coliforms getting into the waterways. Products in this data series present results for predefined areas as defined by the Soil Landscapes of Canada (SLC v.3.2) data series, uniquely identified by SOIL_LANDSCAPE_ID values.

Monthly 30-year Average Mean Temperature represents the average monthly mean temperature calculated at a given location averaged across a 30 year period (1961-1991, 1971-2000, 1981-2010, 1991-2020). These values are calculated across Canada in 10x10 km cells.

Flood Susceptibility Mapping is a national map series that shows how likely different areas in Canada are to experience flooding. This updated version improves on an earlier one-time map by incorporating yearly and seasonal data, along with a larger set of known flood locations used for model training. These enhancements make it possible to assess how flood susceptibility varies from year to year, identify long-term trends, and detect years that were unusually wet or dry. The system integrates a wide range of information, including land characteristics such as elevation, soil type, land cover, and vegetation, as well as seasonal weather variables such as rainfall and temperature. It also incorporates geographic context so the model can better capture spatial patterns. Several artificial intelligence (AI) models were evaluated, and the XGBoost algorithm was selected for its accuracy and reliability. The model was further calibrated so that the probabilities it produces better align with real-world conditions, with notable improvements in areas where flood susceptibility is moderate. To characterize uncertainty, the model was repeatedly tested using slightly different samples of the data. Annual flood susceptibility maps are available for the years 2000 to 2023, along with some maps that show possible future climate conditions. Using the yearly maps, “wet” and “dry” scores can be calculated for each watershed (drainage area) in Canada, and changes in flood susceptibility over time were assessed. Across the country, the number of areas showing higher wet conditions has generally increased. Many of the most significant changes occurred between 2009 and 2020, with 2017 emerging as a frequent turning point. This collection contains: - **[Historic](https://open.canada.ca/data/en/dataset/ea1384df-bf4a-4743-97bb-870dc43f8d77)** yearly maps (2000–2023) showing the calibrated probability of flood susceptibility. - **[Future](https://open.canada.ca/data/en/dataset/c00f95a3-7bab-4d28-b9cc-b30f06b5afd2)** climate scenarios of flood susceptibility. - A variety of **[decision ready maps](https://open.canada.ca/data/en/dataset/3202e0a0-0afb-4120-b102-b0c41f0fb9eb)**, showing trends of increasing or decreasing flood susceptibility, (processed by NHN Work Unit), extreme wet and dry years and a 'flood envelope' and probable present day flood susceptibility. Future development plans include extending the maps back to 1980 and examining how flood susceptibility may change under future climate scenarios. Overall, this dataset provides a consistent, Canada-wide view of where and when flood susceptibility has changed over the past two decades. It is intended for analyzing patterns and trends at regional and national scales, rather than predicting flooding at individual properties or supporting engineering or building design decisions.

Description: Seasonal mean total phytoplankton at the surface from the British Columbia continental margin model (BCCM) were averaged over the 1981 to 2010 period to create seasonal mean surface climatology of the Canadian Pacific Exclusive Economic Zone. Methods: Total phytoplankton is the sum of diatoms and flagellates concentration. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March. The data available here contain a raster layer of seasonal surface phytoplankton climatology for the Canadian Pacific Exclusive Economic Zone at 3 km spatial resolution. Uncertainties: Model results have been extensively evaluated against observations (e.g. altimetry, CTD and nutrient profiles, observed geostrophic currents), which showed the model can reproduce with reasonable accuracy the main oceanographic features of the region including salient features of the seasonal cycle and the vertical and cross-shore gradient of water properties. However, the model resolution is too coarse to allow for an adequate representation of inlets, nearshore areas, and the Strait of Georgia.

The Canadian major and minor crop field trial regions were developed following extensive stakeholder consultation and have been harmonized between the Pest Management Regulatory Agency (PMRA) and the Environmental Protection Agency of the USA. The Canadian major and minor crop field trial regions were delineated, using the geographic information system (GIS) data processing hardware and software facilities in Spatial Analysis and Geomatics Applications (SAGA), Agriculture Division, Statistics Canada. In general, the delineation process involved integration, evaluation and reference to numerous geographic data sources in a GIS to determine the best sources for the delineation. There are seven major and four minor field trial regions. Each of these regions recognizes physical characteristics, such as soils, and crops and climate, that make the region unique within the Canadian agricultural landscape. The subzones address differences within a region, generally reflected in the types of crops grown in that region. The Canadian regions, as much as possible, correspond to the U.S. regions

The Agri-Environmental Indicator Agricultural Greenhouse gas Budget datasets provide estimated net greenhouse gas emissions due to agricultural activities per hectare of Soil Landscapes of Canada agricultural areas. Products in this data series present results for predefined areas as defined by the Soil Landscapes of Canada (SLC v.3.2) data series, uniquely identified by SOIL_LANDSCAPE_ID values.

Zooplankton samples were collected at Ocean Station "P" (50.0000, -145.0000) from 1956 to 1980, and were analyzed to various levels of taxonomic resolution over the years. Although summaries of these data have been previously published ((LeBrasseur 1965) and (Fulton 1978, 1983)) the detailed species data have never been published. This detailed dataset contains total zooplankton wet weights/m3 for the whole period of 1956 to 1980, as well as densities (numbers/m3) for five major taxa (copepods, chaetognaths, euphausiids, amphipods, and Aglantha) from 1964 to 1967, species identifications, counts and lengths for many samples collected between 1968 to 1980. The attached supporting document (Ocean Station "Papa" detailed zooplankton data: 1956 – 1980) contains information on the methods used to collect and process the data along with descriptions of a number of fairly minor points about the data that were not resolved. It also describes, in detail, the format of the original data files, the corrections/changes that were made to these files in creating this version, and how these errors affect what was published in Fulton (1983). The purpose of this record is to make the detailed data available to the scientific community in an electronic format and to provide a convenient reference for citing the detailed data. Waddell, Brenda J., and Skip McKinnell. 1995. Ocean Station "Papa" detailed zooplankton data: 1956 - 1980. Can. Tech. Rep. Fish. Aquat. Sci. 2056: 21 p.