The Canadian Weathership Program collected meteorological data at Station Papa (50N, 145W) in the North Pacific Ocean between 1949 and 1981. In 2014, researchers at the University of Washington (UW) Applied Physics Laboratory (APL) and the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) analyzed this historic data to determine its efficacy as a scientific tool. The data available here are the Government of Canada data files that were utilized for this analysis. The "OWSP Full Data (1949-1981)" file contains the entire Canadian Weathership Program record of data collected from Station Papa and the "OWSP Daily Averaged Wind Speed and Wave Height Data (1949-1981)" file contains daily averaged values of wind speed and wave height generated by the UW APL and NOAA PMEL researchers. The Data Dictionary for each data file contains notes on any quality controls that were applied to the data by the UW APL and NOAA PMEL researchers. The UW documents titled, "Data Documentation for Dataset 1170 (DSI-1170), Surface Marine Data, National Climatic Data Center" (https://digital.lib.washington.edu/researchworks/bitstream/handle/1773/25570/td1170.pdf?sequence=6&isAllowed=y) and "Table detailing units of data values in each file" (https://digital.lib.washington.edu/researchworks/handle/1773/25570), provide further information on the key values, point scales, and other units that were used in these datasets.

Stations for measuring the impact of greening projects on air temperature and humidity. Fifteen stations were installed across the City of Montreal for a period of 10 summers in order to study the impact of urban development on heat. In the long term, the City wishes to install 25 throughout its territory. Better understanding these phenomena is an essential step in order to be able to address the problem of extreme heat in urban areas, which have an impact on the health and well-being of citizens. With this project, the City intends to measure the impact of greening projects on air temperature, train and raise awareness among its staff by participating in a research/action project and raise public awareness of the impact of greening on air temperature.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This table contains quality-controlled weather station data from various sources across Canada since 2006.

ECMWF is the European Centre for Medium-Range Weather Forecasts. Both a research institute and a 24/7 operational service, producing global numerical weather predictions and other data for our Member and Co-operating States and the broader community. The Centre has one of the largest supercomputer facilities and meteorological data archives in the world. Other strategic activities include delivering advanced training and assisting the WMO in implementing its programmes. A key player in Copernicus, the Earth Observation component of the European Union’s Space programme, offering quality-assured information on climate change (Copernicus Climate Change Service), atmospheric composition (Copernicus Atmosphere Monitoring Service), flooding and fire danger (Copernicus Emergency Management Service), and through the EU's Destination Earth initiative, we are developing prototype digital twins of the Earth. The organisation was established in 1975 and now employs around 450 staff from more than 35 countries. ECMWF is one of the six members of the Co-ordinated Organisations, which also include the North Atlantic Treaty Organisation (NATO), the Council of Europe (CoE), the European Space Agency (ESA), the Organisation for Economic Co-operation and Development (OECD), and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). This page contains information how to access data of the ECMWF.

Heat Wave Days are the number of days in the forecast period with a maximum temperature above the cardinal maximum temperature, the temperature at which crop growth ceases (dhw_cool). This temperature is 30°C for cool season crops. Week 1 and week 2 forecasted index is available daily from April 1 to October 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from April 1 to October 31. Cool season crops require a relatively low temperature condition. Typical examples include wheat, barley, canola, oat, rye, pea, and potato. They normally grow in late spring and summer, and mature between the end of summer and early fall in the southern agricultural areas of Canada. The optimum temperature for such crops is 25°C. 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 (likelihood) of cool wave days for cool season/overwintering crops occurring Cool Wave Days are the number of days in the forecast period with a minimum temperature below the cardinal minimum temperature, the lowest temperature at which crop growth will begin (dcw_cool_prob). This temperature is 5°C for cool season crops. Week 1 and week 2 forecasted probability is available daily from April 1 to October 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from April 1 to October 31. Cool season crops require a relatively low temperature condition. Typical examples include wheat, barley, canola, oat, rye, pea, and potato. They normally grow in late spring and summer, and mature between the end of summer and early fall in the southern agricultural areas of Canada. The optimum temperature for such crops is 25°C. 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 European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization founded in 1986, consisting of 30 member states dedicated to the operation of meteorological satellites for monitoring weather, climate, and environmental phenomena. Headquartered in Darmstadt, Germany, EUMETSAT plays a crucial role in providing accurate and timely data and services to meteorological agencies, researchers, and policymakers worldwide. EUMETSAT operates a fleet of geostationary and polar-orbiting satellites equipped with a variety of instruments for observing Earth's atmosphere, oceans, and land surfaces. These satellites capture a wealth of data on weather patterns, atmospheric composition, sea surface temperatures, and other meteorological and environmental parameters. By integrating data from its satellites with ground-based observations and numerical weather prediction models, EUMETSAT produces a wide range of products and services to support weather forecasting, climate monitoring, and environmental analysis. One of EUMETSAT's primary data dissemination channels is its EUMETCast system, a satellite-based data distribution network that delivers real-time and near-real-time satellite data, imagery, and products directly to users' ground receiving stations. Through EUMETCast, meteorological agencies, research institutions, and other users can access a wealth of meteorological and environmental data for use in weather forecasting, climate research, and disaster management applications. In addition to data dissemination, EUMETSAT offers a range of services and products tailored to the needs of its users. These include operational weather forecasting services, such as the Nowcasting SAF (Satellite Application Facility) and the Numerical Weather Prediction SAF, which provide specialized products for short-range weather prediction. EUMETSAT also collaborates with other international organizations, such as the European Centre for Medium-Range Weather Forecasts (ECMWF) and the World Meteorological Organization (WMO), to develop and deliver joint products and services for global weather and climate monitoring. Overall, EUMETSAT plays a critical role in advancing meteorological science and enhancing our understanding of Earth's weather and climate system. By operating state-of-the-art satellite systems and providing comprehensive data and services, EUMETSAT contributes to improved weather forecasting, climate monitoring, and disaster preparedness, ultimately benefiting society and the environment. This page serves as a description of the service and access to their data portal.

Probability of 10-day precipitation total above 150mm (p10d_prob150). 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. 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 greatest daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. 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 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.