The NOAA ENC Online map service provides a continuous depiction of all NOAA ENC® coverage over U.S. coastal waters and the Great Lakes as would be shown on Electronic Chart Display and Information Systems (ECDIS). U.S. Chart No. 1 provides information about the symbology used in ECDIS. This service provides features that can be leveraged in various GIS and OGC WMS compliant applications. Generic featuresDisplays the S-57 datasets using S-52 presentation library specification edition 3.4.Provides indexing for the S-57 attribute Object Name (OBJNAM)Provides access to S-57 attribute informationLinks external files to S-57 attributesAllows for the best scale data to be displayed similar to how an ECDIS displays best scale data based on the map scale as a user zooms in and out of the display.For more information about Esri technology, email maritime@esri.com.

This project was a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography...

This interactive map has many features designed to provide a quick and easy way to find a Center for Operational Oceanographic Products and Services (CO-OPS) station. It can be used to view and download data from real-time observations, historical observations, and predictions of tides and tidal currents.

This project was a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery. Twenty-seven distinct benthic habitat types within eleven zones were mapped directly into a GIS system using visual interpretation of orthorectified aerial photographs and hyperspectral imagery. Benthic features were mapped that covered an area of 790 km^2. In all, 204 km^2 of unconsolidated sediment, 171 km^2 of submerged vegetation, and 415 km^2 of coral reef and colonized hardbottom were mapped. The Biogeography program developed an ArcIMS browser to allow users to view maps of the Island of Niihau and perform basis queries of the data over the internet.

NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 1b Radiances is used in this application. This satellite imagery combines data from the NOAA GOES East and West satellites and the JMA Himawari satellite, providing full coverage of weather events for most of the world, from the west coast of Africa west to the east coast of India. The tile service updates to the most recent image every 10 minutes at 1.5 km per pixel resolution. More information about this imagery can be here: https://www.nesdis.noaa.gov/imagery/interactive-maps/how-use-the-interactive-satellite-maps. USA Current Wildfire data shows wildfires that have been updated within the past 7 days in the United States. Wildfire points are sourced from Integrated Reporting of Wildland-Fire Information (IRWIN) and perimeters from National Interagency Fire Center (NIFC). Satellite (VIIRS) Thermal Hotspots and Fire Activity presents detectable thermal activity from VIIRS satellites for the last 7 days. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, part of NASA's Earth Science Data. National Weather Service Smoke displays the smoke forecast for the next 48 hours across the Continental United States. USA Weather Watches and Warnings depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into well over 100 categories. The data utilized in this dashboard may update at different intervals, this application refreshes in 5 minute intervals.

NOAA and Rutgers University Distribution Mapping and Analysis PortalThis interactive user-friendly website provides visualization and analysis tools to better track, understand, and respond to shifting distributions of marine species. It allows users to examine changes in species distribution over time by looking at location maps and graphs of key indicators (changes in latitude, depth, and range limits). Understanding how species are distributed in space and time and the factors that drive spatial patterns in distribution and abundance are central questions in ecology and important for species conservation and management.

NOAA Flood Event ViewerThis interactive map provides viewable and downloadable flood event data from the U.S. Geological Survey's Short-Term Network (STN) database.

NOAA Marine Protected Area (MPA) Inventory Interactive MapThis online mapping tool displays boundaries and provides access to the marine protected area data inventory. Over 1,600 sites are covered, with data entries that include spatial boundaries, conservation-based classification data, and site management information.

This NOAA Climate Data Record (CDR) is a record for the Northern Hemisphere (NH) Snow Cover Extent (SCE) spanning from October 4, 1966 to present, updated monthly after the 10th of each month. Data prior to June 1999 in the NH SCE CDR are based on satellite-derived maps of NH SCE produced weekly by trained NOAA meteorologists. In June 1999 weekly NOAA NH SCE maps ceased production, and were replaced by daily SCE output from the Interactive Multisensor Snow and Ice Mapping System (IMS). The weekly SCE maps are digitized to an 88x88 (cells) Cartesian grid laid over a NH polar stereographic projection. Each grid cell in the NH SCE CDR has a binary value, indicating snow covered or snow free. The NH SCE CDR has been used in international assessments of climate variability and change, and in investigations regarding the role of snow cover in the climate system. Mapping accuracy is such that this product is considered suitable for continental-scale climate studies. The data are updated monthly in netCDF file format with variables including SCE and National Meteorological Center (NMC) grid (88x88 cell) coordinates.

The Local Climatological Data Map Viewer provided by NOAA's National Centers for Environmental Information (NCEI) is an interactive map providing access to metadata, data, and images about local climatological data.

Layers available on the interactive map Local Climatological Data

Usage Tips Click on map to identify data of interest (or use the available tools to define a rectangular area) Results will appear on left, showing samples near the click point. Mouse-over the list to highlight data on the map In the results, click on an entry to view the station details and to access data

NOAA ENC® Online for U.S. WatersNOAA Electronic Navigational Charts (NOAA ENC®) are in International Hydrographic Organization (IHO) S-57 format, which is the standard used for the exchange of digital hydrographic data. NOAA ENC Online optimizes the viewing of the entire ENC suite, using the display rules defined by the IHO S-52 Specifications for Chart Content and Display Aspects of ECDIS.While features in a single NOAA ENC represent the geographic region that is depicted in that particular ENC cell, NOAA ENC Online provides a continuous depiction of the U.S. coastal waters as displayed on electronic chart systems. (See U.S. Chart No. 1for legend.)The NOAA ENC Online viewer provides features that can be leveraged in various GIS and OGC WMS compliant applications. ENC Online highlights many of the following features.NOAA ENC Online ViewerENCs are updated weekly and include all of the latest Notice to Mariners corrections.

Sea Surface Temperature Imagery Overview:

The University of Rhode Island (URI) Oceanographic Remote Sensing Laboratory maintains an archive of processed, geographically rectified and atmospherically corrected (for 5 channel AVHRR sensors) images of sea surface temperature (SST) for selected areas of the eastern seaboard and offshore of the United States. The images are classified by region and are created from all available Level 1b AVHRR at URI. Since data from all of the NOAA Series AVHRR Platforms (TIROS-N, NOAA-6, NOAA-7, NOAA-8, NOAA-9, and NOAA-10) are compiled in these data sets a generic term, NOAAXX, is used to specify the source platform.

URI generates 512x512x1 byte images of 6 regions from Level 1b -data. The names of the geographic regions, the latitude and longitude range of the regions and the pixel resolution defined for their processing are:

Region Lat/Lon Resolution

Gulf of Maine 40-45N 64-72W 1.1km New York Bight 37-42N 69-76W 1.1km Cape Hatteras 34-39N 70-76W 1.1km Northeast Area 34-44N 63-76W 2.0km Sargasso Sea 30-38N 64-74W 1.7km Sub-Tropical Convergence 22-33N 61-73W 2.0km

All images are generated under a standardized processing procedure described below.

SST Image Processing

The image display and processing system used at URI is DSP, a system developed by the University of Miami Rosenstiel School of Marine and Atmospheric Sciences. The procedure described is followed for processing Level 1b data to a 512x512 rectified and corrected image format.

1/ Ingesting of Level 1b data from magnetic tape to magnetic hard disk. In the case of TIROS-N, NOAA-6, NOAA-8 and NOAA-10 channel 4 is ingested. For NOAA-7 and NOAA-9 both channels 4 and 5 are ingested.

2/ Precision renavigation and update of separate navigation database records. Operators correct spacecraft position errors resulting from inaccurate ephemeris information stored with the Level 1b data records by the platform software. Through changes in time and platform orientation parameters the operator corrects the spacecraft ephemeris using the known position of landmarks visible in the satellite passes. This procedure provides consistent navigational accuracy to within 1km of true. Corrected values for ephemeris and platform orientation are permanently stored, on-line, in the DSP processing system navigation database. This database is referenced by the processing system when it creates a corrected version of the Level 1b data at full resolution.

3/ Processing of data to produce corrected temperature or sensor radiances. For NOAA-7 and NOAA-9 accurate values of SST which have have been corrected for atmospheric attenuation can be obtained using two channel split window method with channels 4 and 5. (McClain et al 1983, McMillin and Crosby 1984). The form of the equation for SST is,

Tss = A0 + A1*T1 + A2*(T2 - T1)

where Tss is the desired SST value, T1 is the channel 5 brightness temperature and T2 is the channel 4 brightness temperature. A0, A1 and A2 are the regression coefficients for the equation. The following coefficients have been derived from comparison with in situ measurements obtained from drifting buoys (NOAA/NESDIS 1982, 1985)and were used to generate SSTs from the NOAA-7 and NOAA-9 digital data.

NOAA-7 A0 A1 A2 DAY -283.93 1.0351 -3.046 NIGHT -288.23 1.0527 -2.627

NOAA-9 A0 A1 A2 DAY -268.92 .9864 -2.670 NIGHT -268.41 .9855 -2.668

For TIROS-N, NOAA-6, NOAA-8 and NOAA-10 sensors radiances are computed directly from channel 4 of the the Level 1b data. While it is not possible to remove the atmospheric attenuation from single channel data, images generated using sensor radiance values contain detailed information on the thermal structure the surface waters and features.

The processing to SST values and sensor radiances produces an intermediate full resolution version of the data that is used to generate the final data product, the standardized remapped images.

4/ Geographically rectify and remap 512x512 standard images. The end data product is the rectified image. These images are generated from the corrected version of the Level 1b data at a specified resolution and location. A pseudo-mercator projection is used with the pixel scaling defined by LATSIZ = R, and LONSIZ = R/cos(LAT). R is the specified resolution. Navigation and processing information are stored along with the remapped image as an image header at the time of creation.

URI SST Archive

Over 1800 separate images for each of the six regions are presently stored on magnetic tape. The archive is constantly being updated with new as well as historical data.

URI SST Satellite Image Archive available on the World Wide Web (WWW)

The URI Graduate School of Oceanography has provided access to the AVHRR sea surface temperature satellite image archive through the World Wide Web. Each image covers the area from latitude 60.575N longitude 96.222W to latitude 9.399N longitude 33.768W and contains 1024 x 1024 pixels. The resolution is 5 km/pixel in equirectangular projection. The archive consists of over 20,000 images.

There are two ways to browse the images using a web browser or XBrowse.

To view the images using a forms-based WWW browser, just use the forms to get the desired image. XBrowse is an interactive tool for satellite image browse and retrieval and must be built onto the user's workstation.

Related Data Sets:

URI NOAA-6 Level 1b URI NOAA-7 Level 1b URI NOAA-8 Level 1b URI NOAA-9 Level 1b URI NOAA-10 Level 1b

NOAA Electronic Navigational Charts (NOAA ENC®) are in International Hydrographic Organization (IHO) S-57 format, which is the standard used for the exchange of digital hydrographic data. NOAA ENC Online optimizes the viewing of the entire ENC suite, using the display rules defined by the IHO S-52 Specifications for Chart Content and Display Aspects of ECDIS.

This dataset contains probabilistic (return-period based) flood maps from storm surge, tide and waves. The maps were produced by the Joint Probability Method with Optimal Spacing (JPM-OS) statistical procedure using the model data produced by a coupled CH3D/SWAN storm surge modeling system. The maps correspond to a 1% annual probability of exceedance (100-year return period). Sea level rise (SLR) conditions are based on NOAA predictions for Naples, FL. The SLR for 2020 is set to be at 0.32 ft. All SLR values are relative to the year 2000. Scenarios: 2030 Low (0.39 ft SLR), 2030 Medium (0.72 ft SLR), 2030 High (1.15 ft SLR); 2060 Low (0.82 ft SLR), 2060 Medium (1.77 ft SLR), 2060 High (3.38 ft SLR); 2100 Low (1.28 ft SLR), 2100 Medium (3.77 ft SLR), 2100 High (8.36 ft SLR).

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Florida Northeast digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Clay, Duval, Flagler, Nassau, Putnam, and St. Johns Counties. The DEM was produced from the following lidar data sets: 1. 2018 Florida Peninsular FDEM - Clay 2. 2018 Florida Peninsular FDEM - Duval 3. 2019 Florida Peninsular - Flagler 4. 2018 Florida Peninsular FDEM - Nassau 5. 2017 City Of Palm Coast, Florida Lidar 6. 2018 Florida Peninsular - Putnam 7. 2018 Florida Peninsular FDEM - St. Johns The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

The AMRC has been collecting Local Area Coverage (LAC) images from 17 October 1998 to present of the Ronne Ice Shelf Iceberg (scattered coverage when there is partially or totally clear fields of view). This data is much like the HRPT data, in that it is 1 km resolution with all five channels of the AVHRR instrument. Beginning 30 March 1999, AMRC began archiving all available LAC images over the Antarctic continent.

Spatial information on the arrangement of geological features, habitats and living marine resources on the seabed are often the foundation for decision-making in ecosystem management and ocean planning. Collecting information on the seabed depths and geomorphology is an expensive operation requiring airborne platforms like satellites, planes or drones, or small vessels to large research ships. Coordinating these data needs and data collection efforts will better leverage collective resources and meet shared goals. To help enable this coordination, in 2020 the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process, and online application to identify common data collection priorities for seafloor mapping, sampling, and visual surveys along shore and offshore of the Southeast United States (North Carolina, South Carolina, and Georgia).

Twenty-five representatives from federal and state agencies, academic institutions, and non-governmental conservation groups, designated seafloor mapping priorities using an online prioritization tool. Participants allocated virtual coins across 5 km x 5 km grid cells to denote their organization’s regions of seafloor mapping needs. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important and what data types were needed. Results were analyzed and mapped using statistical techniques to identify significant relationships between priorities, reasons for those priorities and data needs. These data are the summarized results from this project and can also be viewed in an online web map (https://noaa.maps.arcgis.com/apps/webappviewer/index.html?id=04cdd2a68c4f427f893f2042f326dc80).

Several common areas of interest were identified in the spatially explicit analysis of the responses. Nearshore surfzone along Georgia, South Carolina, and North Carolina were highlighted by several agencies and organizations interested in sediment and sand resources as well as potential for rocky reef habitats. Inshore estuarine areas were highlighted by state agencies and conservation groups interested in monitoring change in managed areas like National Estuarine Reserves. On the outer continental shelf, areas near Blake Plateau off South Carolina and the continental shelf break off North Carolina were identified by federal agencies and conservation organizations as areas of sensitive habitats or historically significantly shipwrecks and maritime resources.

The seafloor mapping prioritization approach described in the Buckel et al. (2021, https://doi.org/10.25923/qh2c-hs73) report associated with these data provides recommendations to organizations charged with mapping the seabed for navigation and commerce as well as resource assessments and management. Already, the priority areas identified in this exercise are being used by NOAA to focus planned seafloor mapping missions. Furthermore, the outcomes from this regional exercise contribute into a National Mapping Prioritization under the lead of NOAA to coordinate mapping activities across the entire US EEZ. Together, these quantitative seafloor mapping prioritization approaches will enable improved coordination and more efficient allocation of resources needed to conduct seafloor mapping providing data to support environmental stewardship, safe navigation and commerce. Additional information is available in the data documentation associated with this archive, for a complete description of methods and results see Buckel et al. 2021.

The Drought Outlook Interactive Web Map is used in conjunction with the Drought Outlook Interactive Experience. This Web Map contains a variety of regularly updated layers:Monthly and seasonal drought outlooksThe US drought monitor Seven day QPF forecast from the Weather Prediction Center Seven day observed precipitation from the Advanced Hydrologic Prediction Center (AHPS) Temperature and precipitation outlooks from the Climate Prediction Center - 6 to 10 day, 8 to 14, Monthly and Three Month Outlooks. Normal gridded temperature and precipitation for the outlook periods from the PRISM group at Oregon State UniversityReservoir data for the Western United StatesSnow Water Equivalent

This interactive map displays American Samoa data collected by the NOAA Coral Reef Ecosystem Division (CRED) during the Pacific Reef Assessment and Monitoring Program (RAMP) cruises. The information presented is a combination of standard CRED monitoring summary data and more specific layers generated by request from resource managers and scientists in American Samoa. The fish and benthos data w...

Global Surface Summary of the Day is derived from The Integrated Surface Hourly (ISH) dataset. The ISH dataset includes global data obtained from the USAF Climatology Center, located in the Federal Climate Complex with NCDC. The latest daily summary data are normally available 1-2 days after the date-time of the observations used in the daily summaries. The online data files begin with 1929 and are at the time of this writing at the Version 8 software level. Over 9000 stations' data are typically available. The daily elements included in the dataset (as available from each station) are: Mean temperature (.1 Fahrenheit) Mean dew point (.1 Fahrenheit) Mean sea level pressure (.1 mb) Mean station pressure (.1 mb) Mean visibility (.1 miles) Mean wind speed (.1 knots) Maximum sustained wind speed (.1 knots) Maximum wind gust (.1 knots) Maximum temperature (.1 Fahrenheit) Minimum temperature (.1 Fahrenheit) Precipitation amount (.01 inches) Snow depth (.1 inches) Indicator for occurrence of: Fog, Rain or Drizzle, Snow or Ice Pellets, Hail, Thunder, Tornado/Funnel Cloud Global summary of day data for 18 surface meteorological elements are derived from the synoptic/hourly observations contained in USAF DATSAV3 Surface data and Federal Climate Complex Integrated Surface Hourly (ISH). Historical data are generally available for 1929 to the present, with data from 1973 to the present being the most complete. For some periods, one or more countries' data may not be available due to data restrictions or communications problems. In deriving the summary of day data, a minimum of 4 observations for the day must be present (allows for stations which report 4 synoptic observations/day). Since the data are converted to constant units (e.g, knots), slight rounding error from the originally reported values may occur (e.g, 9.9 instead of 10.0). The mean daily values described below are based on the hours of operation for the station. For some stations/countries, the visibility will sometimes 'cluster' around a value (such as 10 miles) due to the practice of not reporting visibilities greater than certain distances. The daily extremes and totals--maximum wind gust, precipitation amount, and snow depth--will only appear if the station reports the data sufficiently to provide a valid value. Therefore, these three elements will appear less frequently than other values. Also, these elements are derived from the stations' reports during the day, and may comprise a 24-hour period which includes a portion of the previous day. The data are reported and summarized based on Greenwich Mean Time (GMT, 0000Z - 2359Z) since the original synoptic/hourly data are reported and based on GMT.