644 datasets of Typical Meteorological Years (TMY) created by joining twelve Typical Meteorological Months selected from a database of up to 20 years of CWEEDS hourly data. The months are chosen by statistically comparing individual monthly means with long-term monthly means for daily total global solar irradiance, mean, minimum and maximum dry bulb temperature, mean, minimum and maximum dew point temperature, and mean and maximum wind speed. These hourly datasets are used by the engineering and scientific community mainly as inputs for solar system design and analysis and building energy systems analysis tools. This dataset has been updated with the most recent changes made in March 2023. The solar values in these files are based on 0.1° x 0.1° (11 km x 11 km grid) for all of Canada. Refer to Data Resources below for additional information on the TMY file format.

644 datasets of hourly meteorological data for all of Canada from various periods (1998 to 2020). The values of the records for solar irradiance are primarily based on satellite-derived solar estimates. This dataset has been updated with the most recent changes made in March 2023. The solar values in these files are based on 0.1° x 0.1° (11 km x 11 km grid) for all of Canada. Refer to Data Resources below for additional information on the CWEEDS file format and revision history.

This set shows the location of rain gauges, meteorological instruments intended to measure the quantity of precipitation that fell during a given time interval in a specific location, on the territory of the City of Montreal.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Towers -- structures or buildings that are typically higher than their diameter and high relative to their surroundings -- are shown in this data set. They include: * communication towers * fire towers * microwave towers * radio towers * navigation beacons * lighthouses * lightning locators * meteorological towers

For nearly three decades, the SCRIBE system has been used to assist meteorologists in preparing weather reports. The philosophy behind SCRIBE is that a set of weather element matrices are generated for selected stations or sample points and then transmitted to regional weather centers. The matrices are then decoded by SCRIBE and can be modified via the graphical interface by the users. The resulting data is then provided to a text generator, which produces bilingual public forecasts in plain language.The various rules related to the Scribe matrices hinder scientific innovation, do not exploit the richness of the Numerical Weather Prediction (NWP), reduce the comprehension of meteorological forecasts, and and may require frequent interventions from forecasters.As part of a larger modernization plan for the Meteorological Service of Canada (MSC), in which the role of the forecaster is evolving, the goal is to replace the Scribe matrices, available on the MSC Datamart, and their limited number of points across Canada with Weather Elements on the Grid ("WEonG").Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS).

Canadian hourly climate data are available for public access from the ECCC/MSC's National Climate Archive. These are surface weather stations that produce hourly meteorological observations, taken each hour of the day. Only a subset of the total stations found on Environment and Climate Change Canada’s Historical Climate Data Page is shown due to size limitations.The priorities for inclusion are as follows: stations in cities with populations of 10000+, stations that are Regional Basic Climatological Network status and stations with 30+ years of data.

This data contains information on active precipitation gauges in Ontario. These precipitation gauges: * measure how much rainfall/precipitation falls on the ground (mm) * are peripherals to hydrometric monitoring stations within the Ontario Hydrometric Network Rainfall and snowmelt are primary causes of flooding in Ontario. The lack of precipitation often causes low water and drought conditions. Data from the gauges is collected and maintained by the Surface Water Monitoring Centre (SWMC). The data supports SWMC and partner organization such as conservation authorities, on the local and provincial scale, with: * flood forecasting and warning * drought monitoring The SWMC transfers precipitation data to Environment and Climate Change Canada (ECCC). This happens through an automated process integrated into the SWMC corporate water and climate database. ECCC publishes and maintains a variety of datasets on their Meteorological Services of Canada Datamart, a publicly accessible source for meteorological and hydrological data. This data source has 24/7 operational service and provides support on a best effort basis during normal business hours. There are 30 days worth of precipitation data available on the MSC (Meteorological Services of Canada) Datamart. To access the data, input a date in the link. The links contained in the files will only work if you input a date within the past 30 days. The instructions below are for how to set up the link to access the data. __Setup the Link__ 1. Paste the link from either the Climate Stations or https://dd.weather.gc.ca/YYYYMMDD/WXO-DD/observations/swob-ml/partners/on_water. 2. Input the date to get the data. A section in the link is to identify the date in the format of “YYYYMMDD” (Y = year, M = month, D = day). The date must be within the past 30 days. 3. Download either the precipitation data (XML format) or stations (CSV format).

Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT).

A cross-country summary of the averages and extremes for the month, including precipitation totals, max-min temperatures, and degree days. This data is available from stations that produce daily data.

The Standardized Precipitation Index (SPI) has been recognized as the most accessible index for quantifying and reporting meteorological drought. On short timescales, the SPI is closely related to soil moisture, while at longer timescales, the SPI can be related to groundwater and reservoir storage. The model uses observed historical precipitation amounts to compute probability distributions which are then normalized using an incomplete gamma function over a range of timescales. The values can be interpreted as the number of standard deviations by which the observed anomaly deviates from the long-term mean. where positive values (greater than zero) result from above average conditions.