The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.

The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behavior of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day.

Growing degree days (GDDs) are used to estimate the growth and development of plants and insects during the growing season. Growing Degree Day are computed by subtracting a base value temperature from the mean daily temperature and are assigned a value of zero if negative. Base temperatures are a point below which development does not occur for the organism in question. Growing Degree Day products are created for base 0, 5, 10 and 15 degrees Celsius.GDD values are only accumulated during the Growing Season, April 1 through October 31.

Predicted soil pH in CaCl2 at a defined depth range (0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm). The degree of acidity or alkalinity of a soil expressed in terms of the pH scale.

**CHS NONNA data has been updated: April 1, 2026**The Canadian Hydrographic Service (CHS) offers a complete inventory of bathymetric data free to the general public for non-navigational use called 'CHS NONNA' for the 'NON-NAvigational' purpose of the data. The product is available in a spatial resolution of 10 metres or 100 metres.To directly access the CHS NONNA Data Portal please follow this link - https://data.chs-shc.ca/login(Note: The data portal is NOT compatible with Internet Explorer browser).Terms of UseThe Canadian Hydrographic Service (CHS) NONNA Data products are for NON-NAVIGATIONAL USE ONLY. Please see the Open Data Licence below and the CHS NONNA LICENCE viewable on https://data.chs-shc.ca/login and downloadable with the NONNA data, for the full terms and conditions governing the use of this data.----- PRODUCT DESCRIPTION -----The CHS NONNA-10 NONNA-100 and NONNA Package Bathymetric Data products represent a consolidation of digital bathymetric sources managed by the CHS in Canadian jurisdiction.The « NONNA » refers to NON-NAvigational.The « 10 » or « 100 » references the approximate resolution (in metres) of the data.NONNA PackagesA NONNA Package is a ZIP file containing a collection of NONNAP datasets to ease the download of large amounts of high resolution data. Packages are currently available for data sources of approximately 10 metre resolution.The «P10 » refers to the Packages and approximate resolution (in metres) of the data.The CHS NONNA-10 individual product coverage (resolution) is as follows: - South of 68°N the products = 0.1° latitude X 0.1° longitude (0.0001 degrees) - 68°N-80°N the products = 0.1° latitude X 0.2° longitude (0.0002 degrees) - 80°N and north the products = 0.1° latitude X 0.4° longitude (0.0004 degrees)The CHS NONNA-100 individual product coverage (resolution) is as follows: - South of 68°N the products = 1° latitude X 1° longitude (0.001 degrees) - 68°N-80°N the products = 1° latitude X 2° longitude (0.002 degrees) - 80°N and north the products = 1° latitude X 4° longitude (0.004 degrees)The CHS NONNA-P10 Packages are ZIP files that contain product coverage (resolution) defined as: - South of 68°N the products = 1° latitude X 1° longitude (0.0001 degrees) - 68°N-80°N the products = 1° latitude X 2° longitude (0.0002 degrees) - 80°N and north the products = 1° latitude X 4° longitude (0.0004 degrees)----- DATUM -----All CHS NONNA data sources are horizontally referenced to the World Geodetic System 1984 (WGS84) ESPG:4326 and vertically referenced to Chart Datum (CD), a tidal or water level datum that is locally derived and, of which, the depth of water should seldom fall below. For more information on vertical references visit: https://tides.gc.ca/en/vertical-datum-chart-references----- DATA PRESENTATION -----CHS NONNA products adhere to the following naming convention: NONNAXXX_SouthwestCorner Example: NONNAP10_4360N07940W - NONNAP10 = the product NONNAP10 - 4360N07940W = the southwest corner of the NONNA cell.These products are available to view, query and download via the CHS NONNA Data Portal. The following formats are available for download: - 32-bit GeoTIFF - ASCII++ (XYZ) - CSAR - BAGThese formats can be opened using various GIS applications.Alternatively, the CHS NONNA products can be accessed via Web Map Service (WMS), Web Coverage Service (WCS) or Web Map Tile Service (WMTS) links: - WMS https://nonna-geoserver.data.chs-shc.ca/geoserver/wms?request=GetCapabilities- WMTS https://nonna-geoserver.data.chs-shc.ca/geoserver/gwc/service/wmts?request=GetCapabilities- WCS https://nonna-geoserver.data.chs-shc.ca/geoserver/wcs?request=GetCapabilities**Note**Gaps in the data may be visible where modern surveys have not yet been conducted, the data is not updated to Chart Datum (CD) or where legacy data has not yet been digitized. In addition, there may be data sources removed from the Data Portal for further processing in the CHS’ Bathymetric Database, and will not be available until such work is complete.Data sources included in the NONNA products may not have been subjected to the same level of quality assurance as those in official navigational products.**Help**New users of the CHS NONNA Data Portal are encouraged to fully review the 'CHS NONNA Data Portal Guidance Document' (PDF) which is available below in the RESOURCES section of this page.

Growing Season Frost Free Period (-2 °C) is defined as the count of the number of days from the day after the last spring frost (-2 °C) to the day before the first fall frost (-2 °C). These values are calculated across Canada in 10x10 km cells.

Growing Season Frost Free Period (-4 °C) is defined as the count of the number of days from the day after the last spring frost (-4 °C) to the day before the first fall frost (-4 °C). These values are calculated across Canada in 10x10 km cells.

Growing Season Frost Free Period (0 °C) is defined as the count of the number of days from the day after the last spring frost (0 °C) to the day before the first fall frost (0 °C). These values are calculated across Canada in 10x10 km cells.

Crop/Corn Heat Units (CHU) is a temperature-based index often used by farmers and agricultural researchers to estimate whether the climate is warm enough to grow corn. Daily crop heat units are calculated from minimum and maximum temperatures with separate calculations for day and night. The daytime relationship sets the minimum at 10 C for growth up to a maximum of 30 C, beyond which growth slows.These values are calculated across Canada in 10x10 km cells.

The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours.