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.

Convection-Permitting: The HRDPS can explicitly resolve thunderstorms and other small-scale weather events by running at ~2.5 km.Short-Range Focus: Typically provides forecasts out to 36–48 hours, updated several times daily.Local Impact: Valuable for pinpointing high-impact precipitation in complex terrain or urban environments, aiding emergency managers and hydrologists in short-lead-time decisions.Nested Model: Receives lateral boundary conditions from RDPS, maintaining consistency with regional forecasts while refining detail in local domains.

This polygon layer showcases ultra-fine (2.5 km) short-range precipitation forecasts from the High Resolution Deterministic Prediction System (HRDPS), a convection-permitting model by Environment and Climate Change Canada. It identifies local-scale rainfall or snowfall patterns up to 48 hours, supporting urban flood forecasting, severe weather response, and detailed water resource planning. Convection-Permitting: The HRDPS can explicitly resolve thunderstorms and other small-scale weather events by running at ~2.5 km. Short-Range Focus: Typically provides forecasts out to 36–48 hours, updated several times daily. Local Impact: Valuable for pinpointing high-impact precipitation in complex terrain or urban environments, aiding emergency managers and hydrologists in short-lead-time decisions. Nested Model: Receives lateral boundary conditions from RDPS, maintaining consistency with regional forecasts while refining detail in local domains.

HRDPS, Salish Sea, Atmospheric Forcing Fields, Hourly, v1

2d hourly atmospheric field values from the Environment and Climate Change Canada HRDPS atmospheric forcing model that were used to force the SalishSeaCast NEMO model between 2014-09-12 and 2023-02-22. The model grid includes the Juan de Fuca Strait, the Strait of Georgia, Puget Sound, and Johnstone Strait on the coasts of Washington State and British Columbia. Geo-location data for the atmospheric forcing grid are available in the ubcSSaAtmosphereGridV1 dataset. Atmospheric field values are interpolated on to the Salish Sea NEMO model grid on-the-fly by NEMO.

v1: atmospheric pressure, precipitation rate, 2m specific humidity, 2m air temperature, short-wave radiation flux, long-wave radiation flux, 10m u wind component, 10m v wind component variables _NCProperties=version=1|netcdflibversion=4.6.0|hdf5libversion=1.10.0 acknowledgement=Environment and Climate Change Canada cdm_data_type=Grid Conventions=CF-1.6, COARDS, ACDD-1.3 coverage_content_type=modelResult GRIB2_grid_template=20 history=Files generated daily by python3 -m nowcast.workers.grib_to_netcdf $NOWCAST_YAML nowcast+ infoUrl=https://salishsea.eos.ubc.ca/ institution=UBC EOAS institution_fullname=Dept of Earth, Ocean & Atmospheric Sciences, University of British Columbia keywords_vocabulary=GCMD Science Keywords NCO=4.7.2 project=SalishSeaCast NEMO Model sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v91 time_coverage_end=2023-02-22T23:00:00Z time_coverage_start=2014-09-12T00:00:00Z

This polygon layer shows sub-basin averages of HRDPS (High Resolution Deterministic Prediction System) precipitation. Ideal for capturing short-range (0–48h) high-resolution precipitation forecasts aggregated at the watershed scale. The HRDPS is a 2.5 km resolution model used for short-range, convection-permitting forecasts in Canada. This layer takes HRDPS precipitation totals and aggregates them by each sub-basin polygon, revealing how localized rain or snow could impact individual watersheds. Useful for near-term flood or flash-flood risk, as well as local water management during intense weather.

High Resolution Deterministic Prediction System (HRDPS) data for the Salish Sea area, as NC files (daily). Downloaded from Environment and Climate Change Canada. Provided here to support publication of HOTSSea v1.0 NEMO oceanographic model of the Salish Sea.

No DOI's or publications found for this at time of writing. See:

https://eccc-msc.github.io/open-data/licence/readme_en/

https://eccc-msc.github.io/open-data/msc-data/nwp_hrdps/readme_hrdps-datamart_en/

HRDPS, SalishSeaCast, Atmospheric Forcing Grid, Geo-location, v23-02

Longitude and latitude of the Environment and Climate Change Canada HRDPS continental rotated lat-lon model grid. This is the model grid that is used for atmospheric forcing for the SalishSeaCast NEMO model between from 2023-02-23 onward. The model grid includes the Juan de Fuca Strait, the Strait of Georgia, Puget Sound, and Johnstone Strait on the coasts of Washington State and British Columbia.

v23-02: longitude and latitude variables _NCProperties=version=2,netcdf=4.8.1,hdf5=1.12.1 acknowledgement=Environment and Climate Change Canada cdm_data_type=Grid Conventions=CF-1.6, COARDS, ACDD-1.3 coverage_content_type=modelResult drawLandMask=over GRIB_centre=cwao GRIB_centreDescription=Canadian Meteorological Service - Montreal GRIB_edition=2 GRIB_subCentre=0 history=[Mon 2023-03-13 19:39:47 -07:00] python -m nowcast.workers.grib_to_netcdf $NOWCAST_YAML nowcast+ infoUrl=https://salishsea.eos.ubc.ca/ institution=UBC EOAS institution_fullname=Dept of Earth, Ocean & Atmospheric Sciences, University of British Columbia keywords_vocabulary=GCMD Science Keywords project=SalishSeaCast NEMO Model sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v91

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).

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).

HRDPS, SalishSeaCast, Atmospheric Forcing Grid, Geo-location, v1

Longitude and latitude of the Environment and Climate Change Canada HRDPS West polar-stereographic model grid. This is the model grid that was used for atmospheric forcing for the SalishSeaCast NEMO model between 2014-09-12 and 2023-02-22. The model grid includes the Juan de Fuca Strait, the Strait of Georgia, Puget Sound, and Johnstone Strait on the coasts of Washington State and British Columbia.

v1: longitude and latitude variables acknowledgement=Environment and Climate Change Canada cdm_data_type=Grid Conventions=CF-1.6, COARDS, ACDD-1.3 coverage_content_type=modelResult GRIB2_grid_template=20 history=[Mon Mar 7 10:07:34 2016] ncks -4 -L4 -O /results/forcing/atmospheric/GEM2.5/operational/ops_y2016m03d07.nc /results/forcing/atmospheric/GEM2.5/operational/ops_y2016m03d07.nc [Mon Mar 7 10:07:00 2016] created by wgrib2 infoUrl=https://salishsea.eos.ubc.ca/ institution=UBC EOAS institution_fullname=Dept of Earth, Ocean & Atmospheric Sciences, University of British Columbia keywords_vocabulary=GCMD Science Keywords NCO=4.4.2 project=SalishSeaCast NEMO Model sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v91

This dataset contains values calculated using existing data produced by Environment and Climate Change Canada (ECCC). Freezing degree-days (FDD) correspond to the negative difference between the average daily temperature and the freezing point of seawater (Tf = -1.8°C). For example, if for one day the average temperature is -21.8°C, it raises the annual FDD value by 20.0 FDD. When the daily averaged temperature is above Tf, the FDD value is negative. FDDs are summed starting on September 1st each year. When the cumulative number of FDDs (CFDD) becomes negative, it is reset to zero. The start of winter corresponds to the first time the CFDD is and remains above 0. In this data set, the daily temperature averaged over the entire marine domain of the Gulf of St. Lawrence is used. The data comes from surface temperature forecasts (T2m) from ECCC's High Resolution Deterministic Prediction System (HRDPS). cdm_data_type=Other comment=Data from 2024-9-01 to 2025-01-22 are transiently not from the HRDPS model but from the Copernicus ERA5 model. HRDPS data will replace ERA5 data when historical HRDPS data become available.

  Data prior to September 1, 2024 are temporarily calculated over a different period from November 1 to September 1 of each year. These data will soon be updated with the new period (i.e. September 1 to August 31)

contributor_institution=(a) Université du Québec à Rimouski, (b) Université du Québec à Rimouski, (c) Service Hydrographique et Océanographique de la Marine, (d) Fisheries and Oceans Canada, (e) St. Lawrence Global Observatory contributor_name=(a) Dany Dumont, (b) Sébastien Dugas, (c) Eliott Bismuth, (d) Peter Galbraith, (e) Antoine Biehler contributor_role=(a) Metadata Custodian, Author, (b) Coauthor, Contributor, (c) Coauthor, Contributor, (d) Contributor, (e) Metadata Custodian, Contributor, Editor Conventions=COARDS, CF-1.12, ACDD-1.3, NCCSV-1.2 data_source_01=Environment and Climate Change Canada - HRDPS model - https://eccc-msc.github.io/open-data/msc-data/nwp_hrdps/readme_hrdps_en/ data_source_02=From 2024-09-01 to 2025-01-22 only Copernicus Climate Change Service, Climate Data Store, (2023) - ERA5 hourly data on single levels from 1940 to present - https://doi.org/10.24381/cds.adbb2d47 dataset_status=OnGoing defaultGraphQuery=&time>=max(time)-1year&.bgColor=0xffffffff DOI=A VERIFIER geospatial_lat_max=52.2 geospatial_lat_min=45.1 geospatial_lat_units=degrees_north geospatial_lon_max=-55.2 geospatial_lon_min=-71.3 geospatial_lon_units=degrees_east grid_mapping_epsg_code=EPSG:4326 grid_mapping_epsg_code_url=https://epsg.io/4326 grid_mapping_geographic_crs_name=WGS 84 grid_mapping_inverse_flattening=298.2572236 grid_mapping_name=latitude_longitude grid_mapping_prime_meridian_name=Greenwich grid_mapping_semi_major_axis=6378137 infoUrl=https://ogsl.ca/cartesglacesstlaurent/ institution=Institut des sciences de la mer de Rimouski keywords_fr=glace de mer, température de l'air, changement climatique keywords_vocabulary=NASA Global Change Master Directory (GCMD) Science Keywords and homemade keywords licenseUrl=https://creativecommons.org/licenses/by/4.0/ marine_region=Gulf of St. Lawrence marine_region_identifier=http://marineregions.org/mrgid/4290 publisherID=https://ror.org/03wfagk22 sourceUrl=(local files) standard_name_nerc_vocabulary=The NERC Vocabulary Server (NVS) standard_name_other_vocabulary=dwc: Darwin Core List of Terms (v 2023-09) standard_name_vocabulary=CF Standard Name Table v86 summary_fr=Ce jeu de données contient des valeurs calculées à partir de données existantes produites par Environnement et changement climatique Canada (ECCC). Un degré-jour de gel (DJG) correspond à la différence négative entre la température moyenne journalière et le point de congélation de l'eau de mer (Tf = -1.8°C). Si pour un jour la température moyenne est de -21.8°C, par exemple, il élève la valeur DJG annuelle de 20.0 DJG. Les jours où la température moyenne est supérieure Tf, la valeur de DJG diminue. Les DJG sont calculés à partir du 1er septembre. Lorsque le nombre cumulé de DJG (DJGC) devient négatif, il est remis à zéro. Le début de l’hiver correspond au moment où les DJG commencent à augmenter de manière persistante, donc au premier moment où DJGC est plus grand que 0. Dans ce jeu de données, on utilise la température journalière moyennée sur l'ensemble du domaine marin du golfe du Saint-Laurent. Les données sont issues des prévisions de température de surface (T2m) du système de prévision déterministe à haute résolution (HRDPS) d'ECCC. time_coverage_end=2025-05-01 time_coverage_start=1996-11-01

The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.

Following are the forecast weather models depicted in this Web Experience :HRDPS Model (High Resolution Deterministic Prediction System - Continental) for 24 and 48 hours of forecast periods.Regional Ensemble Prediction System (REPS) for 72 hours of forecast period hour.Regional Deterministic Prediction System (RDPS) for 84 hours of forecast period hour.Global Deterministic Prediction System (GDPS) for 168 and 240 hours of forecast periods.Global Forecast System (GFS) for 168 hours of forecast period.Global Ensemble Prediction System (GEPS) for 384 hours of forecast period.European Centre for Medium-Range Weather Forecasts for 168 hours of forecast periodAnd following are the observed weather models depicted in this Web Experience :High Resolution Deterministic Precipitation Analysis (HRDPA) with observation periods of the past 1 day, 3 days and 7 days.Special Thanks to Environment and Climate Change Canada, NOAA’s National Centers for Environmental Prediction, European Centre for Medium-Range Weather Forecasts

The Coastal Ice Ocean Prediction System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS.

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.

The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint, 10 m wind). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA.

The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint, 10 m wind). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA.

CaLDAS-NSRPS was installed as an experimental system within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC.

This product is a 1km resolution composite over the North American domain, which, for areas with radar coverage, can distinguish the occurrence, type and intensity of precipitation. This product uses two 1km radar composites as input: a North American composite cleaned using dual polarization technology, another particle classification radar composite (precipitation) and surface temperature from the High Resolution Deterministic Prediction System (HRDPS). The SPTP product is produced every 6 minutes.

This polygon layer depicts sub-basin average observed precipitation from the High Resolution Deterministic Precipitation Analysis (HRDPA). Offers insight into how much rain/snow actually fell across each watershed in the past observation period. Observation periods we are interested are for past 1 day, 3 days and 7 days. HRDPA is ECCC’s high-resolution precipitation analysis, merging gauge, radar, and HRDPS model data. This layer aggregates the final (or preliminary) HRDPA accumulations to sub-basin polygons. Each record indicates the average precipitation that truly occurred over each watershed, vital for verifying model forecasts, calibrating hydrological models, and conducting post-event analyses of flood or drought severity.