This measure tracks cumulative progress of NOAA’s National Geodetic Survey toward completing gravity observations for the Redefinition of the American Vertical Datum (GRAV-D) initiative and implementation of a new National Vertical Datum. The measure indicates the percentage of the U.S. for which NOAA has airborne gravity data necessary to support the new National Vertical Datum. This improved vertical reference system is critical for all observing systems and activities requiring accurate heights. For example, this system is important for helping determine where water flows in order to make accurate inundation models and assessments.

This measure captures a range of efforts by NOAA’s Aquaculture Program that together will lead to a more efficient federal permitting process. These efforts include: working with federal partners under the White House/OSTP's Subcommittee on Aquaculture to coordinate and streamline inter-agency permitting, working with industry partners to establish and manage offshore aquaculture pilot projects, conducting spatial analysis and developing siting tools, developing engineering solutions, efforts to assess and reduce risk (e.g., entanglement) from aquaculture operations, conducting programmatic environmental reviews to reduce burden on individual applicants, and drafting/revising guidance to permit applicants to improve application quality. We will also continue to support, as requested, any Congressional initiative to develop aquaculture legislation.

The process of designating or expanding National Marine Sanctuaries (NMS) and National Estuarine Research Reserves (NERRs) can take several years. To provide more regular updates, measure tracks progress in advancing proposed designations and expansions through these processes. The area for a proposed expansion or designation is only added to the measure once it completes a step in process, and only steps completed on or after 10/1/2021 are counted. For Sanctuaries, target and actual areas (sq. miles) are estimated based on proposal information; they remain estimates until actual designation or expansion is complete. For NERRs, the area for a proposed reserve cannot be estimated (and therefore are not included in targets or actuals) until the state-directed site selection process is complete and a range of alternatives (i.e., proposed reserve boundaries) has been developed for the environmental analysis process.

Tornado Warnings are issued to enable the public to get out of harm’s way and mitigate preventable loss. NWS forecasters issue approximately 2,900 Tornado Warnings per year, primarily between the Rockies and Appalachian Mountains. Tornado Warning statistics are based on a comparison of warnings issued and weather spotter observations of tornadoes and/or storm damage surveys from Weather Forecast Offices in the United States. Lead Time (LT) for a Tornado Warning is the difference between the time the warning was issued and the time the tornado occurred (based on certified reports) in minutes, assuming the tornado tracked within the bounds of the warned area. Lead Times for all tornado occurrences within the U.S. are averaged to get this statistic for a given fiscal year. This average includes all warned events with zero lead times and all unwarned events. Lead Time is calculated down to the minute for individual Tornado Warnings and tornadic events. Although the timing of the warning transmission is recorded to the nearest second, typically there is only an estimate to the nearest minute of when a tornado touches down. Additionally, even though we can compute the average tornado warning lead time to a precision of 30 second increments or less, the reporting of this value implies greater accuracy in the data based on scientific and logistical restrictions on tornado reporting and surveying. Most tornadoes cannot be visually tracked from beginning to end and post-storm damage surveying is the official method with which the NWS categorizes tornado characteristics (intensity, path length & width) but must rely on radar data to estimate the timing of the tornado track.

This performance measure tracks the ability of forecasters at NOAA’s Space Weather Prediction (SWPC) to accurately predict geomagnetic storms, which potentially disrupt power systems, spacecraft operations, and navigation systems. The NOAA geomagnetic storm scale (G-scale) ranges from the G1 or minor level where weak power grid fluctuations can occur to the G5 or extreme level. During a G5 event, where aurora may be visible over most of the United States, the power grid can experience equipment damage causing system collapse or blackout; significant satellite damage can occur; and global positioning systems may be inaccurate or temporarily unavailable. Geomagnetic Storm Forecast Accuracy is a percentage that reflects the amount of time that the SWPC geomagnetic storm forecast is correct over a 24-hour period. The 24 hour geomagnetic storm forecast is considered accurate if a G1 or greater storm event was correctly predicted. This calculation also includes geomagnetic storms which were not forecast. This measure is verified based on ground-based magnetometer observations. This measure is averaged over the 60 most recent geomagnetic storms to maintain statistical significance.

Tornado Warnings are issued to enable the public to get out of harm’s way and mitigate preventable loss. NWS forecasters issue approximately 2,900 Tornado Warnings per year, primarily between the Rockies and Appalachian Mountains. Tornado Warning statistics are based on a comparison of warnings issued and weather spotter observations of tornadoes and/or storm damage surveys from Weather Forecast Offices in the United States. The false alarm ratio (FAR) is the percentage of times a tornado warning was issued, but no tornado occurrence was verified. Most tornadoes cannot be visually tracked from beginning to end and post-storm damage surveying is the official method with which the NWS categorizes tornado characteristics (intensity, path length & width) but must rely on radar data to estimate the timing of the tornado track.

*Please also note that a FAR is the number of false alarms per the total number of warnings. If an FAR actual is higher than the target, then the target has not been met. If the actual is the same number or less, then it has been met or exceeded.

The measure captures the count of significant and discrete OAR research and development products that have transitioned to development, demonstration, or an application. Products include transitions occurring within OAR and applying group(s) outside of OAR. This includes research, development, and demonstration performed and supported by OAR as well as utilization of OAR R&D products by external parties.

The National Ocean Acidification Observing Network (NOA-ON) is comprised of a suite of sensor assets. Each sensor tracks the daily cycle of ocean carbonate chemistry, which allows us to characterize Ocean Acidification in accordance with the Federal Ocean Acidification Research and Monitoring (FOARAM) Act. This network provides the capacity to track long-term changes in ocean chemistry and to alert stakeholders and industry partners about corrosive events impacting the Nation’s blue economy.

This network provides the capacity to track long-term changes in ocean chemistry and to alert stakeholders and industry partners about corrosive events impacting the Nation’s blue economy. This indicator reflects the number of National Ocean Acidification - Observing Network (NOA-ON) observations that are successfully transmitted to NOAA. This occurs when a NOA-ON sensor asset successfully transmits a minimum of 8 observations within a 24 hour day. Ideally, the number of transmitted observations should equal 100% of observations collected.

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.