| sensing-meteo-41 |
Pacific Climate Impacts Consortium |
Canadian Downscaled Climate Scenarios - Univariate (CMIP6): CanDCS-U6 |
data (format: netCDF and ASCII) |
Climate data and forecast |
N.A. |
Open |
N.A. |
N.A. |
Statistically downscaled climate scenarios based on model output from the Coupled Model Intercomparison Project Phase 5 (CMIP6). Downscaled scenarios were constructed from 26 GCMs and 3 Shared Socioeconomic Pathways (SSPs) from CMIP6, using the two distinct statistical downscaling methods described below. The SSPs represent low (SSP1-2.6), intermediate (SSP2-4.5) and high (SSP5-8.5) rates of greenhouse gas emissions added to the atmosphere between 2013 and 2100. Projections can be selected for any combination of model, SSP, and time period. |
Atmospheric variables (complete list at the resource URL) |
Canada |
10 km |
1950-2100 |
daily |
https://data.pacificclimate.org/portal/downscaled_cmip6/map/ |
N.A. |
| sensing-meteo-42 |
Pacific Climate Impacts Consortium |
Canadian Downscaled Climate Scenarios - Multivariate (CMIP6): CanDCS-U6 |
data (format: netCDF and ASCII) |
Climate data and forecast |
N.A. |
Open |
N.A. |
N.A. |
Statistically downscaled climate scenarios based on model output from the Coupled Model Intercomparison Project Phase 5 (CMIP6). Downscaled scenarios were constructed from 26 GCMs and 3 Shared Socioeconomic Pathways (SSPs) from CMIP6, using the two distinct statistical downscaling methods described below. The SSPs represent low (SSP1-2.6), intermediate (SSP2-4.5) and high (SSP5-8.5) rates of greenhouse gas emissions added to the atmosphere between 2013 and 2100. Projections can be selected for any combination of model, SSP, and time period. |
Atmospheric variables (complete list at the resource URL) |
Canada |
10 km |
1950-2100 |
daily |
https://data.pacificclimate.org/portal/downscaled_cmip6_multi/map/ |
N.A. |
| sensing-meteo-43 |
Pacific Climate Impacts Consortium |
Canadian Downscaled Climate Scenarios - Multivariate (CanESM5): CanDCS-M6 |
data (format: netCDF and ASCII) |
Climate data and forecast |
N.A. |
Open |
N.A. |
N.A. |
Statistically downscaled climate scenarios based on model output from the Coupled Model Intercomparison Project Phase 5 (CMIP6). Downscaled scenarios were also constructed from 10 distinct realizations of the Canadian Earth System Model Version 5 (CanESM5) running all three SSPs. CanESM5, a CMIP6 model included in CanDCS-M6, was downscaled using the same two downscaling methods described below. This dataset may be useful for those interested in studying the effect of internal climate variability on projected climate change. |
Atmospheric variables (complete list at the resource URL) |
Canada |
11 km |
1950-2101 |
daily |
https://data.pacificclimate.org/portal/downscaled_canesm5_multi/map/ |
N.A. |
| sensing-meteo-44 |
Environment and Climate Change Canada |
High Resolution Deterministic Prediction System - Continental |
data (format: GRIB) |
Climate data and forecast |
https://eccc-msc.github.io/open-data/msc-data/nwp_hrdps/readme_hrdps_en/ |
Open |
Continual (up to 4 times a day) |
MSC Open Data Service Usage Policy |
The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. |
Atmospheric variables (complete list at the resource URL) |
Canada |
2.5 km |
2014-11-18 - present |
up to 48 hours ahead |
https://open.canada.ca/data/en/dataset/5b401fa0-6c29-57f0-b3d5-749f301d829d |
N.A. |
| sensing-meteo-45 |
Environment and Climate Change Canada |
High Resolution Ensemble Precipitation Analysis [experimental] |
data (format: GRIB2) |
Climate data and forecast |
https://eccc-msc.github.io/open-data/msc-data/nwp_hrdps/readme_hrdps_en/ |
Open |
Continual (up to 4 times a day) |
MSC Open Data Service Usage Policy |
HREPA is part of the NSRPS (National Surface and River Prediction System) experimental system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by HRDPA and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. |
Precipitation |
Canada |
2.5 km |
2019-04-15 - present |
up to 48 hours ahead |
https://open.canada.ca/data/en/dataset/62c5f03f-8f03-466a-960a-88fbc5882c11 |
N.A. |
| sensing-meteo-46 |
Environment and Climate Change Canada |
Canadian Seasonal to Inter-annual Prediction System Seasonal Forecasts |
data (format: GRIB2) |
Climate data and forecast |
https://eccc-msc.github.io/open-data/msc-data/nwp_cansips/readme_cansips_en/ |
Open |
Continual |
MSC Open Data Service Usage Policy |
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 others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. |
Atmospheric variables (complete list at the resource URL) |
Global |
2.5° |
2004-01-01 - present |
monthly, up to 12 month ahead |
https://open.canada.ca/data/en/dataset/922781a9-bfef-56b9-a438-493ada629d47 |
N.A. |
| sensing-meteo-47 |
Environment and Climate Change Canada |
Weather Elements on Grid based on the High Resolution Deterministic Prediction System |
data (format: GRIB2) |
Climate data and forecast |
https://eccc-msc.github.io/open-data/msc-data/nwp_hrdps/readme_hrdps-datamart_en/ |
Open |
Continual |
MSC Open Data Service Usage Policy |
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). |
Atmospheric variables (complete list at the resource URL) |
Canada |
2.5 km |
2022-08-29 - present |
hourly, up to 48 hours ahead |
https://open.canada.ca/data/en/dataset/9eaf8b65-a734-432e-925c-7fbe8fc65670 |
N.A. |
