Volunteers are a critical part of national marine sanctuaries and help support science, education, and conservation priorities. Volunteers assist in many projects, such as citizen science, monitoring, education support, and marine debris cleanups. Volunteer hours can also be assigned a value through the widely used nonprofit organization, Independent Sector, which provides a yearly estimate of what a volunteer hour is worth. Using this number, each year ONMS calculates how much in-kind support our volunteers provide.

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.

Seasonal outlooks are reported as the probability of temperature being above normal, near normal, below normal or, where no definite seasonal guidance can be provided, equal chances. The seasonal outlooks are the cumulative skill calculated for regions where predictions are made. These forecasts are verified using a 48 month running mean of Heidke Skill score computed for seasonal outlooks for each 3-month seasonal mean (e.g., January-February-March mean; February-March-April mean; March-April-May mean; and so on). The previous dataset used to verify the CPC seasonal temperature outlook has developed a cold bias across a large portion of the western United States during the past 5-10 years. CPC has developed a new dataset which consists of Synoptic and Metar stations only, which is consistent throughout the historical and real time periods. This change will not impact the measure itself, nor how it is reported, but will remove biases identified in the old verification dataset, resulting in a more accurate performance indicator.

The number of existing full time and/or part time employment positions created and/or retained as reported by a MBE client served.

Precipitation forecasts and other foundational general weather guidance developed by the Weather Prediction Center are used extensively by the weather enterprise. This performance measure tracks the ability of the weather forecasters of NOAA’s Weather Prediction Center (WPC) to predict accurately the occurrence of one inch or more of precipitation (rain or the water equivalent of melted snow or ice pellets) twenty-four hours in advance across the contiguous U.S.

This information is used by government entities, economic sectors, and the general public to manage daily lives and activities and make resource decisions.

This performance indicator measures the estimated number of jobs created and retained, by communities and regions, attributable to EDA investments made to support the travel and tourism sectors.

Visibility and cloud ceiling forecasts are critical for aircraft safety and efficient operations. When visibility or cloud ceilings are low, pilots rely on instruments to navigate instead of visual reconnaissance. The Federal Aviation Administration establishes Instrument Flight Rule (IFR) thresholds—visibility less than three statute miles and/or cloud ceilings at, or below, 1000 feet—for safety.

NWS assesses the quality of IFR threshold forecasts in response to these requirements. Fundamental statistical metrics, specifically Probability of Detection (POD) and False Alarm Ratio (FAR), are used to track IFR forecast performance. Probability of Detection (POD), also known as Accuracy, is a ratio that describes the number of times IFR is correctly forecasted compared to the total number of IFR occurrences. FAR is a ratio that describes the number of IFR forecasts when IFR was not observed compared to the total number of forecast attempts. These two metrics must always be used in conjunction, as one can be improved at the expense of the other. Greater accuracy and a minimized FAR result in safer flights and fewer flight delays; conversely, poorer accuracy and an increased FAR result in a greater incidence of unnecessary flight delays.

The public, private sectors, emergency managers, and government institutions at all levels in this country and abroad use NOAA tropical cyclone forecasts to make decisions regarding the protection of life and property. This goal measures the difference between the projected and actual location of the center of tropical cyclones in nautical miles (nm) for the Atlantic Basin, averaged over all the 48-hour forecasts occurring during the calendar year.

* Annual Hurricane Season begins June 1 and ends November 30. The final values are produced after a verification and validation period.

Because tropical cyclones are relatively rare events, this measure can show significant annual volatility. Projecting the long-term trend, and basing out-year goals on that trend, is preferred over making large upward or downward changes to the targets each year.

The measure captures the count of significant and discrete NOAA research and development products that have transitioned to application at operational U.S. weather services and in the U.S. weather commercial sector. In addition, these weather products support NOAA contributions to the Weather Research and Forecasting Innovation Act of 2017.

This performance indicator measures the number of EDA grants which help communities and regions be better positioned for foreign direct investment.