Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships such as evapotranspiration, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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.

The probability of maximum wind above 50km/h (mdws50_prob).Week 1 and week 2 forecasted probability is available daily from September 1 to August 31.Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31.Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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 and weekly basis.

The maximum wind speed during the forecast period km/hr (mdws).Week 1 and week 2 forecasted index is available daily from September 1 to August 31.Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31.Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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 and weekly basis.

The probability of maximum wind above 70km/h (mdws70_prob).Week 1 and week 2 forecasted probability is available daily from September 1 to August 31.Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31.Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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 and weekly basis.

Probability of maximum wind above 90km/h (mdws90_prob).Week 1 and week 2 forecasted probability is available daily from September 1 to August 31.Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31.Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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 and weekly basis.

The number of days during the forecast period with an average wind speed greater than 30 km/h and a maximum temperature above 30°C (drying).Week 1 and week 2 forecasted index is available daily from September 1 to August 31.Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31.Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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 and weekly basis.

The number of days during the forecast period with an average wind speed greater than 30 km/h (nswd).Week 1 and week 2 forecasted index is available daily from September 1 to August 31.Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31.Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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 and weekly basis.

The number of days during the forecast period with an average wind speed greater than 30 km/h (nswd_prob).Week 1 and week 2 forecasted probability is available daily from September 1 to August 31.Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31.Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.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 and weekly basis.

This geospatial data depicts preliminary offshore wind licencing areas recommended by the Committee for the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador (Committee). These areas were identified as an interim product during the Regional Assessment process. The Committee is tasked to complete its Regional Assessment Report by January 2025. As part of the terms of amended agreement set out by the Governments of Canada and Newfoundland and Labrador, the Committee submitted an interim report to Ministers on March 22, 2024. This report included a preliminary map of recommended areas for offshore wind. Based on work completed to date, the Committee has found these areas are where offshore wind development is most likely feasible and will have the least impact within offshore Newfoundland and Labrador. These areas are preliminary and will be refined throughout the remainder of the Regional Assessment. Through the Regional Assessment process, the Committee is providing federal and provincial Ministers with information, knowledge, and analysis regarding future offshore wind development. Their work is intended to inform and improve future planning, licencing, and impact assessment processes. Any offshore wind areas identified by the Committee do not reflect official offshore wind licencing areas. The Committee is providing these areas to Ministers for their consideration, as the offshore wind regulatory process is being established.

This dataset contains inputs and resultant data layers from the Preliminary Technical Resource Assessment for Offshore Wind in Canada’s Pacific Region completed by CanmetENERGY-Ottawa (CE O). The layers included in this dataset can be used to support early stage offshore wind planning and future decision making in the coastal waters of British Columbia.The analysis applied an exclusion based methodology to identify areas that met the assigned technical requirements for offshore wind developments for both fixed-bottom and floating offshore wind structures. Five technical constraints were assessed: water depth, annual average wind speed, distance from the coastline, seabed geology compatibility, and Marine Protected Areas (MPAs). These constraints were sequentially applied across the entirety of Canada’s Pacific offshore waters within the federal marine bioregions present on the west coast, covering approximately 454,000 km². For each scenario, areas that did not meet the defined technical thresholds were removed from the study area, resulting in spatial layers that delineate technically feasible offshore wind areas. This dataset represents only a technical assessment. It does not account for economic feasibility, regulatory approvals, Indigenous rights and interests, environmental sensitivities beyond MPAs, or other social and ecological considerations. The data are intended to inform future site specific studies, by initially identifying areas that merit further exploration to determine full suitability before decisions can be made on whether offshore wind will be deployed in the region. The link to the full report can be found here: https://doi.org/10.4095/g350288