WMS

WMS

A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS

This service is comprised of Provincial Wet Areas Mapping (WAM), which is the product of research work carried out by the Nexfor/Bowater Forest Watershed Research Centre at the University of New Brunswick (led by Dr. Paul Arp). This project was funded by several government and industry partners (see list of partners below). The WAM model predicts where water will naturally flow and/or accumulate in the landscape based on digital elevation (DEM) data and the known location of surface water bodies and wetlands. In essence, WAM is a "cartographically derived depth-to-water index." It is important for users of WAM to understand that depth values listed do not represent predicted depth to a water table or ground water, rather they are a relative wetness index which can be related to the likelihood of there being natural water flows (above or below ground) and accumulation of water as reflected by on-site drainage conditions (well, moderately well, imperfect, poor, very poor). WAM does not take into account soil conditions that may further influence drainage conditions (such as soil texture), nor does it predict flows and accumulations that are the result of human disturbance or infrastructure. The WAM project was completed under contract by the University of New Brunswick in 2005-2007. Contributing partners to the project were: - Nova Scotia Department of Natural Resources - Bowater Mersey Paper Ltd. - J.D. Irving Ltd. - Neenah Paper Inc. - StoraEnso Port Hawkesbury Ltd. - Nova Forest Alliance Model Forest - Agriculture and Agri-Food Canada - Parks Canada - Nova Scotia Environment and Labour - Service Nova Scotia WAM products made available here for public use are through the courtesy of project partners.

Energy facilities on Refineries, Liquefied Natural Gas Import and Export Terminals, Natural Gas Processing Plants, Power Plants with at least 100 MW of Capacity, Renewable Energy Power Plants with at least 1 MW of Capacity. Web services implemented as part of a North American trilateral cooperation on energy information between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States. The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.

WMS

Regional Ocean Modeling System (ROMS) 6-day, 3-hourly forecast for the region surrounding Guam and parts of the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 2-km resolution. Boundary conditions provided by the wider ROMS model for the region surrounding the Western North Pacific (ROMS_MARI) at approximately 4-km resolution. Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding Guam and parts of the Commonwealth of the Northern Mariana Islands (CNMI) (WRF_Guam) at approximately 3-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.