The Global Telecommunications System (GTS) is a major component of transmitting global meteorological data, consisting of both in situ and satellite observations. This data is collected by a number of organizations, which archive and further process the data. The National Centers for Environmental Prediction (NCEP) collect this GTS data and formats it into BUFR (Binary Universal Form for the Representation of meteorological data) for their processing needs. After processing, the BUFR is transmitted to NCAR for archival and additional processing into the International Maritime Meteorological Archive (IMMA) format for the International Comprehensive Ocean-Atmosphere Data Set (ICOADS). NCAR also archives this IMMA-formatted data. NCDC will use these data as source input for the new ICOADS Near-Real-Time (NRT) product and will archive the two data streams from NCAR--the NCEP-BUFR data as well as IMMA (International Maritime Meteorological Archive) formatted data files (converted from the NCEP-BUFR file format) that are produced by NCAR. The IMMA format has been adopted by many organizations as the preferred format for marine observations. The data consists of basic observations taken from ships, buoys, C-MAN (Coastal Marine Automated Network), and tide-gauge stations. Observations may include: air and sea surface temperature, wind direction/speed, waves, sea level pressure, etc.

The Global Telecommunications System (GTS) is a major component of transmitting global meteorological data, consisting of both in situ and satellite observations. This data is collected by a number of organizations, which archive and further process the data. The National Centers for Environmental Prediction (NCEP) collect this GTS data and formats it into BUFR (Binary Universal Form for the Representation of meteorological data) for their processing needs. After processing, the BUFR is transmitted to NCAR for archival and additional processing into the International Maritime Meteorological Archive (IMMA) format for the International Comprehensive Ocean-Atmosphere Data Set (ICOADS). NCAR also archives this IMMA-formatted data. NCDC will use these data as source input for the new ICOADS Near-Real-Time (NRT) product and will archive the two data streams from NCAR--the NCEP-BUFR data as well as IMMA (International Maritime Meteorological Archive) formatted data files (converted from the NCEP-BUFR file format) that are produced by NCAR. The IMMA format has been adopted by many organizations as the preferred format for marine observations. The data consists of basic observations taken from ships, buoys, C-MAN (Coastal Marine Automated Network), and tide-gauge stations. Observations may include: air and sea surface temperature, wind direction/speed, waves, sea level pressure, etc.

The Global Telecommunications System (GTS) is a major component of transmitting global meteorological data, consisting of both in situ and satellite observations. This data is collected by a number of organizations, which archive and further process the data. The National Centers for Environmental Prediction (NCEP) collect this GTS data and format it into BUFR (Binary Universal Form for the Representation of meteorological data) for their processing needs. After processing, the BUFR is transmitted to NCAR for archival and additional processing into the International Maritime Meteorological Archive (IMMA) format for the International Comprehensive Ocean-Atmosphere Data Set (ICOADS). NCAR also archives this IMMA-formatted data. NCDC will use these data as source input for the new ICOADS Near-Real-Time (NRT) product and will archive the two data streams from NCAR--the NCEP-BUFR data as well as IMMA (International Maritime Meteorological Archive) formatted data files (converted from the NCEP-BUFR file format) that are produced by NCAR. The IMMA format has been adopted by many organizations as the preferred format for marine observations. The data consists of basic observations taken from ships, buoys, C-MAN (Coastal Marine Automated Network), and tide-gauge stations. Observations may include: air and sea surface temperature, wind direction/speed, waves, sea level pressure, etc.

The Global Telecommunications System (GTS) is a major component of transmitting global meteorological data, consisting of both in situ and satellite observations. This data is collected by a number of organizations, which archive and further process the data. The National Centers for Environmental Prediction (NCEP) collect this GTS data and format it into BUFR (Binary Universal Form for the Representation of meteorological data) for their processing needs. After processing, the BUFR is transmitted to NCAR for archival and additional processing into the International Maritime Meteorological Archive (IMMA) format for the International Comprehensive Ocean-Atmosphere Data Set (ICOADS). NCAR also archives this IMMA-formatted data. NCDC will use these data as source input for the new ICOADS Near-Real-Time (NRT) product and will archive the two data streams from NCAR--the NCEP-BUFR data as well as IMMA (International Maritime Meteorological Archive) formatted data files (converted from the NCEP-BUFR file format) that are produced by NCAR. The IMMA format has been adopted by many organizations as the preferred format for marine observations. The data consists of basic observations taken from ships, buoys, C-MAN (Coastal Marine Automated Network), and tide-gauge stations. Observations may include: air and sea surface temperature, wind direction/speed, waves, sea level pressure, etc.

NOAA's Coastal Ocean Reanalysis (CORA) couples long-term water level observations with hydrodynamic modeling to create historical information between tide stations to bridge gaps in service and more equitably serve the Nation's coastal communities. CORA water levels are simulated with ADvanced CIRCulation (ADCIRC) for ocean circulation modeling and coupled with a phase-averaging model called Simulating WAves Nearshore (SWAN) to produce surface gravity wave spectra and account for time-averaged wave contributions. Coastal water level observations from NOAA's Center for Operational Oceanographic Products and Services (CO-OPS) National Water Level Observation Network (NWLON) are low-pass filtered and assimilated into the model to account for long-term sea level variability and to reduce model errors, and validate results. The domain of this reanalysis spans the Gulf of America, Atlantic (East), and Caribbean coastlines (or CORA-GEC). The reanalysis (1979-2022) was performed through the partnership of NOAA National Ocean Service (NOS) and University of North Carolina's (UNC) Institute of Marine Sciences and Renaissance Computing Institute (RENCI). This modeled dataset is meant to have secondary derived datasets including but not limited to daily maximums (daily maxes), monthly means, extremes and month high tide flooding predictions. In addition, the domain of the analysis will be expanded to the Pacific and the dataset to be included when it becomes available.

CO-OPS has been involved with tsunami warning and mitigation since the Coast and Geodetic Survey started the Tsunami Warning System in 1948 to provide warnings to the Hawaiian Islands. After the December 2004 Indian Ocean tsunami, CO-OPS was tasked to coordinate with the NOAA Tsunami Warning Centers in upgrading existing stations with new Data Collection Platform (DCP) and communications technology and with expanding the tsunami warning capabilities of the National Water Level Observation Network (NWLON). Work began in 2005 to upgrade 33 existing water level stations and install 16 new stations from the Pacific Ocean to the Caribbean Sea by October 2006. As of September 2006, all 33 upgrades are complete, as well as 15 of the 16 new installations. As of October 2006, the NWLON consist of 196 long-term water level stations along all U.S. coasts, including the Great Lakes, Alaska, Hawaii, the Pacific Ocean Island Territories, Puerto Rico, and the U.S. Virgin Islands. The NOAA National Centers for Environmental Information (formerly National Geophysical Data Center) serves as the archive center for these data and provides the historical data to users.