GeoMet-Météo du SMC rend publiquement accessible les données du Service météorologique du Canada (SMC) et d'Environnement et Changement climatique Canada (ECCC) via des services web interopérables et des interfaces de programme (API). Par le biais de standards ouverts, ces services donnent rapidement et gratuitement accès à des milliers de jeux de données et produits météorologiques, climatiques et hydrométriques en temps réel et archivés qui peuvent être intégrés dans les applications spécifiques de l'usager et leurs systèmes d'aide à la décision. Les usagers peuvent développer des applications mobiles, créer des cartes interactives en-ligne, ainsi que de visualiser et animer les données du SMC dans des logiciels de bureau. Les services GeoMet du SMC rendent également possible le découpage de données et la reprojection sur demande, tout autant que la conversion de formats et la visualisation personnalisée de couches de données.

The Canadian Lightning Detection Network (CLDN) provides lightning monitoring across most of Canada. The data distributed here represents a spatio-temporal aggregation of the observations of this network available with an accuracy of a few hundred meters. More precisely, every 10 minutes, the reported observations are processed in the following way: The location of observed lightning (cloud-to-ground and intra-cloud) in the last 10 minutes is extracted. Using a regular horizontal grid of about 2.5km by 2.5km, the number of observed lightning flashes within each grid cell is calculated. These grid data are normalized by the exact area of each cell (in km2) and by the accumulation period (10min) to obtain an observed flash density expressed in km-2 and min-1. A mask is applied to remove data located more than 250km from Canadian land or sea borders.

The Global Deterministic storm Surge Prediction System (GDSPS) produces water level forecasts using a modified version of the NEMO ocean model (Wang et al. 2021, 2022, 2023). It provides 240 hours forecasts twice per day on a 1/12° resolution grid (3-9 km). The model is forced by the 10 meters winds, sea level pressure, ice concentration, ice velocity and surface currents from the Global Deterministic Prediction System (GDPS). The three dimensionnal ocean temperature and salinity fields of the model are nudged to values provided by the Global Ice-Ocean Prediction System (GIOPS) and the GDPS. During the post-processing phase, storm surge elevation (ETAS) is derived from total water level (SSH) by harmonic analysis using t_tide (Foreman et al. 2009).

The Multi-Risk Vigilance Card is a product developed by the Ministry of Public Security (MSP) that brings together warnings and reports on phenomena of natural origin that may have consequences on the safety of citizens, goods and services to the population. It is updated continuously automatically. It allows for continuous monitoring of the province's territory in relation to dangerous natural phenomena. Environment and Climate Change Canada weather warnings for blizzard, fog, freezing rain, rain, fog, freezing rain, rain, snow, hail, hurricanes, tropical storms, winter storms, severe storms, tornadoes, tornadoes, storm winds, storm winds, strong winds, strong winds, strong winds, hurricane force winds, high winds, hurricane-force winds, heat waves, and all weather events whose severity* is greater than or equal to moderate; This data comes from the company's National Alert Aggregation and Dissemination System (ADNA) Pelmorex private. The information conveyed in the alerts complies with the standards of the Common Alert Protocol (PAC).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Polygons representing areas vulnerable to heavy rains, heat waves, destructive storms, droughts, and floods. Vulnerability corresponds to the propensity or predisposition of a system (community, infrastructure and natural environment) to suffer damage caused by the manifestation of a climatic hazard. It varies according to the nature, extent and pace of the evolution of the event as well as the variation in the climate to which the system is exposed, the sensitivity of this system and its capacity to adapt. The [Climate Plan 2020-2030] (https://portail-m4s.s3.montreal.ca/pdf/Plan_climat%2020-16-16-VF4_VDM.pdf) aims, among other things, to improve urban planning and regulatory tools. Montréal has thus committed to updating the climate change vulnerability analysis, including the heat island map, carried out as part of the 2015-2020 Agglomération de Montréal Climate Change Adaptation Plan and to integrating it into the next urban and mobility plan. In addition, in order to take stock of the evolution of the Climate Plan, the City of Montreal annually publishes an [accountability report] (https://montreal.ca/articles/plan-climat-montreal-objectif-carboneutralite-dici-2050-7613) of its 46 actions as well as its eight indicators, including the state of the various climate hazards illustrated by vulnerability maps. The data can also be consulted on the [interactive map of vulnerabilities to climate hazards in the Montreal agglomeration] (https://bter.maps.arcgis.com/apps/webappviewer/index.html?id=157cde446d8942d7b4367e2159942e05).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS).

Environment Canada issues weather alerts about weather related hazards in order to notify those in affected areas so that they can take steps to protect themselves and their property from harm. Alerts are classified depending on the severity and timing of the subject event and include: warnings, watches, advisories and statements. Warnings are usually issued six to 24 hours in advance, although some severe weather (such as thunderstorms and tornadoes) can occur rapidly, with less than a half hours' notice.

As part of measure 2.6 of the 2013-2020 Action Plan on Climate Change, and in the wake of the project “[Characterization of the banks of the fluvial part of the St. Lawrence and analysis of the evolution of hydro-climatic factors influencing the hazards of erosion and flooding] (https://www.donneesquebec.ca/recherche/dataset/caracterisation-des-berges-et-analyse-de-l-evolution-des-facteurs-hydro-climatiques)” ()”, the MELCCFP mandated the team of the **Laboratoire de Géomorphology Terre-Mer du Département de Géomorphology de l'Université Laval ** in order to conduct a study on the mobility issues of banks in the fluvial section of the St. Lawrence. The selection of the six issues, spread over ten sites of interest, was based on the previous shoreline characterization project, which made it possible to locate significant problems related to shoreline mobility. The six issues addressed correspond to: 1. The archipelagos of the fluvial St. Lawrence and the seaway (sites of Île Marie, Île de Grace and Île des Barques) 2. Land use planning and delta formation in Lake Saint-Pierre (Yamachiche Point site) 3. The degradation of the sloping walls between Sainte-Marthe-du-Cap and Champlain (Pointe-au-Vent and Champlain sites) 4. The rapid dynamics of high soft cliffs (Cap Lévrard site) 5. The effects of docks on sedimentary transit in the fluvial estuary (Portneuf and Pointe-Platon sites) 6. The management of urban beaches in Quebec (Plage-Jacques-Cartier site, Anse-Tibbits site and Beauport Bay Beach) This new study has thus made it possible to provide scientific knowledge adapted to the specificities of this densely populated sector of the river, in order to (1) better understand the hydrogeomorphological trajectory of this major river system, and (2) to guide management practices towards better respect of its mobility space and the integrity of its ecosystems. The development of a multi-scale monitoring approach, combining geomorphological and geohistorical components, has proven to be very effective in documenting the implications of the highly artificial nature of the fluvial St. Lawrence and in better defining the influence of natural processes. The project was made possible thanks to the creation of a vast geospatial database, collected and processed by the research team. In an approach of sharing and dissemination, the team makes available all the deliverables and geospatial data* produced during this study, in particular: A complete report detailing the context of the study, the methodology, the results in the form of six abundantly illustrated Mobility-Trajectory sheets, as well as a summary accompanied by a discussion on the impacts of land use planning along the fluvial St. Self-supported version of the six Mobility-Trajectory portrait sheets. Geospatial data associated with the historical mapping of coastline features (CTs) and their migration rates, as well as products derived from drone imagery, such as numerical surface models (MNS) and orthomosaics. *Higher spatial and temporal resolution data are available upon request.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**