This measure tracks the progress of ongoing or completed recovery actions included in NMFS approved recovery plans for species listed as threatened or endangered under the Endangered Species Act (ESA). Recovery plans include a list of actions necessary to de-list the species. These include actions that may be completed in a year or that may take many years to complete or are ongoing. Recovery of a species may take decades. Completed recovery actions shows incremental progress.

This indicator's milestones/targets will complete the development of an OMAO DEI Implementation Plan as a critical step in establishing DEI awareness and activities within the entire OMAO organization. OMAO established its DEI Advisory Council, chaired by the OMAO DAA for Programs and Administration, comprising twelve (12) individuals across OMAO’s centers and divisions. All members are currently enrolled in the e-Cornell Diversity, Equity, and Inclusion certification program and are on track to complete their certifications. The DEI Implementation Plan will be monitored and updated to ensure OMAO leadership can identify successes, target areas for improvement and adjust the Plan's contents to better scope and emphasize it's direction.

This measure highlights change in jobs that communities or businesses generate or save due to Sea Grant assistance (i.e., providing information to help communities, industries or businesses expand, make better decisions or avoid mistakes). Sea Grant provides the information and training that informs business decisions, and in some cases firms create or sustain jobs as a result. A job created is a new position created and filled as a result of Sea Grant activities. An existing position that is filled with a Sea Grant-trained applicant should not be reported in this measure. A job sustained is an existing, filled position that is sustained as a direct result of Sea Grant activities. A job cannot be reported as both created and sustained in the same year.

NOAA and NMFS support research to advance commercial-scale marine aquaculture production. This is done through commercial scale demonstration facilities in collaboration with—and co-funded by— industry and coastal seafood communities to facilitate the commercial viability of marine aquaculture production. Additionally, NOAA will use aquaculture research to remove production bottlenecks for shellfish and finfish related to siting, disease, genetics and genomics, hatchery seed stock, and feed availability. Performance is measured by calculating the number of either unique or completed stages in ongoing projects which directly advance marine aquaculture production.

Seaports with access to Physical Oceanographic Real-Time Systems (PORTS®) data move vessels and their cargo more safely and efficiently, and this measure tracks the number of top U.S. seaports that have access to PORTS® data. To create a list of the Nation’s top 175 seaports, NOS selected the top 152 ports by international tonnage, accounting for more than 99.9% of all direct imports and exports by tonnage in 2016. NOS added to this list 23 seaports that are critical to coastal military installations, the Nation’s energy supply, or commercial marine fisheries landings.

Cumulative number of R2X projects that include social science research and methods to address forecaster and end user needs to prepare for and respond to/ minimize societal impact for extreme weather events.

Description Digital Coast is a web-based platform that provides geospatial data, tools, and training to coastal communities. This measure, obtained via web statistics, provides a locational context that allows the effort to broadly assess where its users are coming from. Given that the Digital Coast effort is national in scope, yet local in its approach to providing geospatial information to address coastal issues, such as coastal resilience, this measure provides valuable information that is used to direct outreach efforts and support content development. The number of communities using Digital Coast is based on Census-designated places within coastal states, including all Census-defined cities, towns, townships, boroughs, and incorporated municipalities.

This measure tracks the number of dives that use imagery/video as well as other sensors that provided a multidisciplinary first-look at an unknown or poorly understood area of the ocean. These data can be collected using a variety of platforms including ROVs, AUVs, ASVs, etc. OER recognizes a distinction between exploration and characterization. Exploration is conducted using a suite of tools and techniques that provides a multidisciplinary first-look at an unknown or poorly understood area of the ocean. The outcome is intended to be sufficient to inform follow-on characterization, which provides comprehensive data for a specific area of interest of the seafloor, sub-bottom, and/or water column that supports specific research, resource management, policymaking, or applied mission objectives (this is not depth dependant unlike the mapping statistics).

For each reported flash flood event, the flash flood warning lead-time is the difference in minutes between the issuance of a flash flood warning and the onset of a geographically corresponding flash flood event. The lead times for all flash flood events, within the United States and territories served by the National Weather Service, are averaged to calculate the national average flash flood warning lead-time metric for a given fiscal year. This average includes all warned events with zero lead times and all unwarned events. Historically, flash flood warnings were issued and verified on a countywide basis. Starting in FY 2010, the storm-based warnings were implemented with verification based solely for the areas impacted by the warning and event.

The measure is a proxy for the useful forecast lead time of the GFS beyond the current forecasts skill and is computed as a three-year moving average over the range of forecast days into the future. It is defined as the day (including fractional day) that the value drops below 0.6 in the deterministic GFS forecast. Dropping below 0.6 indicates the point at which a forecast loses useful skill. Extending lead time in prediction of future weather events allows people to make informed choices and enables protection of life, property, and enhancement of the National economy. Target is measured in days.