| 1981-2010 Climate Normals | feature | Climate Normals are used to summarize or describe the average climatic conditions of a particular location. At the completion of each decade, Environment and Climate Change Canada updates its climate normals for as many locations and as many climatic characteristics as possible. The climate normals offered here are based on Canadian climate station... |
| Adjusted and Homogenized Canadian Climate Data (AHCCD) Annual | feature | Adjusted and Homogenized Canadian Climate Data (AHCCD) are climate station datasets that incorporate adjustments (derived from statistical procedures) to the original historical station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. Data are provided for temperature, precipitation, p... |
| Adjusted and Homogenized Canadian Climate Data (AHCCD) Monthly | feature | Adjusted and Homogenized Canadian Climate Data (AHCCD) are climate station datasets that incorporate adjustments (derived from statistical procedures) to the original historical station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. Data are provided for temperature, precipitation, p... |
| Adjusted and Homogenized Canadian Climate Data (AHCCD) Seasonal | feature | Adjusted and Homogenized Canadian Climate Data (AHCCD) are climate station datasets that incorporate adjustments (derived from statistical procedures) to the original historical station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. Data are provided for temperature, precipitation, p... |
| Adjusted and Homogenized Canadian Climate Data (AHCCD) Stations | feature | Climate station datasets that incorporate adjustments (derived from statistical procedures) to the original historical station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. |
| Adjusted and Homogenized Canadian Climate Data (AHCCD) Trends | feature | Adjusted and Homogenized Canadian Climate Data (AHCCD) are climate station datasets that incorporate adjustments (derived from statistical procedures) to the original historical station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. Data are provided for temperature, precipitation, p... |
| Air Quality Health Index – Forecasts | feature | The Air Quality Health Index (AQHI) is a scale designed to help quantify the quality of the air in a certain region on a scale from 1 to 10. When the amount of air pollution is very high, the number is reported as 10+. It also includes a category that describes the health risk associated with the index reading (e.g. Low, Moderate, High, or Very Hig... |
| Air Quality Health Index – Observations | feature | The Air Quality Health Index (AQHI) is a scale designed to help quantify the quality of the air in a certain region on a scale from 1 to 10. When the amount of air pollution is very high, the number is reported as 10+. It also includes a category that describes the health risk associated with the index reading (e.g. Low, Moderate, High, or Very Hig... |
| Air Quality Health Index – Stations | feature | The Air Quality Health Index (AQHI) is a scale designed to help quantify the quality of the air in a certain region on a scale from 1 to 10. When the amount of air pollution is very high, the number is reported as 10+. It also includes a category that describes the health risk associated with the index reading (e.g. Low, Moderate, High, or Very Hig... |
| Annual Maximum and Minimum Daily Water Level or Flow | feature | The annual maximum and minimum daily data are the maximum and minimum daily mean values for a given year. |
| Annual Maximum and Minimum Instantaneous Water Level or Flow | feature | The annual maximum and minimum instantaneous data are the maximum and minimum instantaneous values for a given year. |
| CMIP5 - Historical annual | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Historical annual anomaly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Historical monthly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Historical monthly anomaly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Historical seasonal anomaly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Projected annual | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Projected annual anomaly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Projected monthly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Projected monthly anomaly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Projected seasonal CMIP5 | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Projected seasonal anomaly | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5 - Projected seasonal anomaly for 20 years average | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CMIP5- Projected annual anomaly for 20 years average | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| CanDCSU6 30 year averages of historical annual values | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 30 year averages of historical seasonal values | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 30 year averages of projected annual anomalies | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 30 year averages of projected annual anomalies | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 Annual projections | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 Historical annual | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 Historical monthly | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 Historical seasonal | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 Monthly projections | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanDCSU6 Seasonal projections | coverage | CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 Global Climate Models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5) using the same downscal... |
| CanGRD - Historical annual anomaly | coverage | Gridded annual mean temperature anomalies derived from daily minimum, maximum and mean surface air temperatures (degrees Celsius) and anomalies derived from daily total precipitation is available at a 50km resolution across Canada. The Canadian gridded data (CANGRD) are interpolated from homogenized temperature (i.e., AHCCD datasets). Homogenized t... |
| CanGRD - Historical annual trend | coverage | CANGRD data are interpolated from adjusted and homogenized climate station data (i.e., AHCCD datasets). Homogenized climate data incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. Annual trends of relative total precipitation change (%) for... |
| CanGRD - Historical monthly anomaly | coverage | Gridded monthly mean temperature anomalies derived from daily minimum, maximum and mean surface air temperatures (degrees Celsius) and anomalies derived from daily total precipitation is available at a 50km resolution across Canada. The Canadian gridded data (CANGRD) are interpolated from homogenized temperature (i.e., AHCCD datasets). Homogenized ... |
| CanGRD - Historical seasonal anomaly | coverage | Gridded seasonal mean temperature anomalies derived from daily minimum, maximum and mean surface air temperatures (degrees Celsius) and anomalies derived from daily total precipitation is available at a 50km resolution across Canada. The Canadian gridded data (CANGRD) are interpolated from homogenized temperature (i.e., AHCCD datasets). Homogenized... |
| CanGRD - Historical seasonal trend | coverage | CANGRD data are interpolated from adjusted and homogenized climate station data (i.e., AHCCD datasets). Homogenized climate data incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. Seasonal trends of relative total precipitation change (%) f... |
| Canadian Seasonal to Inter-annual Prediction System (CanSIPS) - members at 250km | coverage | The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and... |
| Climate Stations | feature | Climate observations are derived from two sources of data. The first are Daily Climate Stations producing one or two observations per day of temperature, precipitation. The second are hourly stations that typically produce more weather elements e.g. wind or snow on ground. |
| DCS - Historical annual | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Historical annual anomaly | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Historical monthly | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Historical seasonal | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Historical seasonal anomaly | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Projected annual | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Projected annual anomaly | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Projected annual anomaly for 20 years average | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Projected monthly | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Projected seasonal | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Projected seasonal anomaly | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| DCS - Projected seasonal anomaly for 20 years average | coverage | The statistically downscaled climate scenarios dataset provides multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios, RCP2.6, RCP4.5, RCP8.5, at a 10km resolution. Projected changes are expressed as anomalies with respect to the reference period ... |
| Daily Climate Observations | feature | Daily climate observations are derived from two sources of data. The first are Daily Climate Stations producing one or two observations per day of temperature, precipitation. The second are hourly stations that typically produce more weather elements e.g. wind or snow on ground. Only a subset of the total stations is shown due to size limitations. ... |
| Daily Extremes of Records (LTCE) – Precipitation | feature | The daily climate records database, also known as Long Term Climate Extremes (LTCE), was developed to address the fragmentation of climate information due to station changes (opening, closing, relocation, etc.) over time. For approximately 750 locations in Canada, "virtual" climate stations have been developed by joining (threading) climate data fo... |
| Daily Extremes of Records (LTCE) – Snowfall | feature | The daily climate records database, also known as Long Term Climate Extremes (LTCE), was developed to address the fragmentation of climate information due to station changes (opening, closing, relocation, etc.) over time. For approximately 750 locations in Canada, "virtual" climate stations have been developed by joining (threading) climate data fo... |
| Daily Extremes of Records (LTCE) – Temperature | feature | The daily climate records database, also known as Long Term Climate Extremes (LTCE), was developed to address the fragmentation of climate information due to station changes (opening, closing, relocation, etc.) over time. For approximately 750 locations in Canada, "virtual" climate stations have been developed by joining (threading) climate data fo... |
| Daily Mean of Water Level or Flow | feature | The daily mean is the average of all unit values for a given day. |
| Historical seasonal CMIP5 | coverage | The Global climate model scenarios dataset is based on an ensemble of global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Multi-model ensembles of modelled output (actual value) and projected change (anomaly) are available for historical simulations and three emission scenarios at a 1x1 degree grid resol... |
| Hourly Climate Observations | feature | 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 s... |
| Hydrometric Monitoring Stations | feature | A station is a site on a river or lake where water quantity (water level and flow) are collected and recorded. |
| Indices - Historical | coverage | High-resolution statistically downscaled climate indices based on model projections from 24 global climate models (GCMs) that participated in the Coupled Model Intercomparison Project Phase 5 (CMIP5) are available. The climate indices are grouped into temperature-related, precipitation-related and agroclimatic categories. |
| Indices - Projected | coverage | High-resolution statistically downscaled climate indices based on model projections from 24 global climate models (GCMs) that participated in the Coupled Model Intercomparison Project Phase 5 (CMIP5) are available. The climate indices are grouped into temperature-related, precipitation-related and agroclimatic categories. |
| MSC Datasets Footprints | feature | MSC datasets footprints inventory |
| Marine Standard Forecast Zones (hybrid) | feature | The Marine Standard Forecast Zones layer is a collection of forecast location polygons that represents bounded (zone) locations at the Marine Program Standard level. The Marine Program standard level is used in most forecasts, warnings, watches, advisories and special marine weather statements. This layer is comprised mainly of water based Marine r... |
| MetNotes | feature | MetNotes are a geo- and time-referenced, free form polygon product issued by MSC that complement today's location-based dissemination systems. The concise text of a MetNote (similar to a Tweet) is consistent with communication today where people are seeking information at a glance. Meteorologists will issue a MetNote to add contextual and/or impact... |
| Monthly Climate Observation Summaries | feature | 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. |
| Monthly Mean of Water Level or Flow | feature | The monthly mean is the average of daily mean values for a given month. |
| Public Standard Forecast Zones (hybrid) | feature | The Public Standard Forecast Zones layer is a collection of public program forecast location zone polygons that represents bounded measurable locations at the Public program Standard level. The public program standard level is used in most forecasts, warnings, watches, advisories and special weather statement. With the exception of the Manitoba Lak... |
| Real-time hydrometric data | feature | Real-time water level and flow (discharge) data collected at over 2100 hydrometric stations across Canada (last 30 days). |
| Real-time meteorological bulletins | feature | Real-time meteorological bulletins (last 140 days) |
| Regional Deterministic Precipitation Analysis (RDPA) - 24 hours accumulation at 10km resolution | coverage | The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar and numerical weather prediction models. Geographic coverage is North America (Canada, United S... |
| Regional Deterministic Precipitation Analysis (RDPA) - 24 hours accumulation at 10km resolution (preliminary) | coverage | The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar and numerical weather prediction models. Geographic coverage is North America (Canada, United S... |
| Regional Deterministic Precipitation Analysis (RDPA) - 24 hours accumulation at 15km resolution | coverage | The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar and numerical weather prediction models. Geographic coverage is North America (Canada, United S... |
| Regional Deterministic Precipitation Analysis (RDPA) - 6 hours accumulation at 10km resolution | coverage | The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar and numerical weather prediction models. Geographic coverage is North America (Canada, United St... |
| Regional Deterministic Precipitation Analysis (RDPA) - 6 hours accumulation at 10km resolution (preliminary) | coverage | The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar and numerical weather prediction models. Geographic coverage is North America (Canada, United St... |
| Regional Deterministic Precipitation Analysis (RDPA) - 6 hours accumulation at 15 km resolution | coverage | The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar and numerical weather prediction models. Geographic coverage is North America (Canada, United S... |
| SPEI-1 - Historical | coverage | Standardized Precipitation Evapotranspiration Index (SPEI) calculated using global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are provided. SPEI is a multiscalar index frequently used to quantify drought and is based on a climate water balance. |
| SPEI-1 - Projected | coverage | Standardized Precipitation Evapotranspiration Index (SPEI) calculated using global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are provided. SPEI is a multiscalar index frequently used to quantify drought and is based on a climate water balance. |
| SPEI-12 - Historical | coverage | Standardized Precipitation Evapotranspiration Index (SPEI) calculated using global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are provided. SPEI is a multiscalar index frequently used to quantify drought and is based on a climate water balance. |
| SPEI-12 - Projected | coverage | Standardized Precipitation Evapotranspiration Index (SPEI) calculated using global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are provided. SPEI is a multiscalar index frequently used to quantify drought and is based on a climate water balance. |
| SPEI-3 - Historical | coverage | Standardized Precipitation Evapotranspiration Index (SPEI) calculated using global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are provided. SPEI is a multiscalar index frequently used to quantify drought and is based on a climate water balance. |
| SPEI-3 - Projected | coverage | Standardized Precipitation Evapotranspiration Index (SPEI) calculated using global climate model projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are provided. SPEI is a multiscalar index frequently used to quantify drought and is based on a climate water balance. |
| Surface Weather Observations | feature | Surface Observations measured at the automatic and manual stations of the Environment and Climate Change Canada and partners networks, either for a single station, or for the stations of specific provinces and territories (last 30 days). |
| UMOS statistically post-processed Forecast of the Global Deterministic Prediction System (GDPS-UMOS-MLR) | feature | Statistical post-processing of weather and environmental forecasts issued by numerical models, including the Global Deterministic Prediction System (GDPS), reduces systematic bias and error variance of raw numerical forecasts. This is achieved by establishing an optimal relationship between observations recorded at stations and co-located numerical... |
| UMOS statistically post-processed Forecast of the Regional Deterministic Prediction System (RDPS-UMOS-MLR) | feature | Statistical post-processing of weather and environmental forecasts issued by numerical models, including the Regional Deterministic Prediction System (RDPS), reduces systematic bias and error variance of raw numerical forecasts. This is achieved by establishing an optimal relationship between observations recorded at stations and co-located numeric... |
| Virtual Climate Stations (LTCE) | feature | A Virtual Climate station is the result of threading together climate data from proximate current and historical stations to construct a long term threaded data set. For the purpose of identifying and tabulating daily extremes of record for temperature, precipitation and snowfall, the Meteorological Service of Canada has threaded or put together da... |
| WMO WIS2 discovery metadata (experimental) | record | WMO WIS2 discovery metadata (experimental) |
| WMO WIS2 notification messages (experimental) | feature | WMO WIS2 notification messages (experimental) |
