# off shore web development

Offshore IT Operations Consulting Services » We help organizations achieve greater operational control and further overseas expansion and reduced costs and high return. Dxfactor.com

Supercharging offshore wind power connects ScottishPower Renewables with Cisco IoT » Building and operating offshore windfarms is no simple task. ScottishPower Renewables and Cisco IoT created a repeatable networking design to simplify deployment and increase flexibility for future services and applications. Blogs.cisco.com

DX Strategy - Haabaht Inc. » Digital transformation is a company’s imperative growth strategy. We will support develop the strategy, and system development in India. When you need bilingual website, we can support it, too. Haabaht.com

Mapping and Biological Assessments in Potential Wind Energy Area of Offshore North Carolina » We are conducting seafloor mapping and biological assessments in a potential site for wind energy development offshore southeast North Carolina. The maps and data will allow the Bureau of Ocean Energy Management to inform wind energy developers of areas containing sensitive and essential hardbottom reef habitats important to living marine resources and ecosystem services. Why Coastalscience.noaa.gov

Open Energy Data Initiative (OEDI) » The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is currently one of the primary resources for stakeholders conducting wind resource assessments in the continental United States. The NOW-23 data set was produced using the Weather Research and Forecasting Model (WRF) version 4.2.1. A regional approach was used: for each offshore region, the WRF setup was selected based on validation against available observations. The WRF model was initialized with the European Centre for Medium Range Weather Forecasts 5 Reanalysis (ERA-5) data set, using a 6-hour refresh rate. The model is configured with an initial horizontal grid spacing of 6 km and an internal nested domain that refined the spatial resolution to 2 km. The model is run with 61 vertical levels, with 12 levels in the lower 300m of the atm Data.openei.org