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NOAA - Customer satisfaction with NWS services, as measured by the American Customer Satisfaction Index
performance.commerce.gov | Last Updated 2024-03-28T20:21:54.000ZWeather information users are surveyed continuously by means of a web-based, pop-up survey on NWS web pages throughout the Nation. A sample size of approximately 6,000 responses is collected quarterly for a maximum of 24,000 annual responses. The Customer Satisfaction Index (CSI) score is calculated as a weighted average of three survey questions that measure different facets of satisfaction with NWS services. American Customer Satisfaction Index (ACSI) researchers use proprietary software technology to estimate the weighting. The three questions include the overall satisfaction of NWS services, expectations of service, and a comparison to an ideal organization. Indexes are reported on a 0 to 100 scale. The CSI was started in the United States in 1994 by researchers at the University of Michigan, in conjunction with the American Society for Quality in Milwaukee, Wisconsin, and CFI Group in Ann Arbor, Michigan. The Index was developed to provide information on satisfaction with the quality of products and services available to consumers. The survey data serve as inputs to an econometric model that benchmarks customer satisfaction with more than 300 companies in 43 industries and 10 economic sectors, as well as various services of federal and local government agencies.
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NOAA - Customer satisfaction with NWS services, as measured by the American Customer Satisfaction Index
performance.commerce.gov | Last Updated 2024-03-28T20:33:35.000ZWeather information users are surveyed continuously by means of a web-based, pop-up survey on NWS web pages throughout the Nation. A sample size of approximately 6,000 responses is collected quarterly for a maximum of 24,000 annual responses. The Customer Satisfaction Index (CSI) score is calculated as a weighted average of three survey questions that measure different facets of satisfaction with NWS services. American Customer Satisfaction Index (ACSI) researchers use proprietary software technology to estimate the weighting. The three questions include the overall satisfaction of NWS services, expectations of service, and a comparison to an ideal organization. Indexes are reported on a 0 to 100 scale. The CSI was started in the United States in 1994 by researchers at the University of Michigan, in conjunction with the American Society for Quality in Milwaukee, Wisconsin, and CFI Group in Ann Arbor, Michigan. The Index was developed to provide information on satisfaction with the quality of products and services available to consumers. The survey data serve as inputs to an econometric model that benchmarks customer satisfaction with more than 300 companies in 43 industries and 10 economic sectors, as well as various services of federal and local government agencies.
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NOAA - Marine wind: percentage of accurate forecasts
performance.commerce.gov | Last Updated 2024-03-28T20:33:48.000ZThis measures the accuracy of wind speed forecasts, which are important for marine commerce. Accuracy is defined in terms of error. Legacy statistics are available from FY 1994 through FY 2012. New marine verification program began FY 2013. Beginning in FY 2013, Wind and Wave verification extended out to 5 and 7 days respectively, while the legacy program was limited to verifying Day 1 with errors less than 5 knots are defined as accurate. Since FY 2014, a higher threshold of forecast errors has been used to define correct forecasts whenever higher wind speeds have occurred. Hence, wind speed forecasts with errors less than (7 knots, 10 knots, 15 knots) are accurate forecasts when the observed wind speed equals or exceeds (20 knots, 34 knots, 48 knots) respectively. This measure uses complex skill scores to analyze individual wind speed components. Legacy statistics are available from FY 1994 through FY 2012. New marine verification program began FY 2013. Beginning in FY 2013, Wind and Wave verification extended out to 5 and 7 days respectively, while the legacy program was limited to verifying Day 1 with errors less than 5 knots are defined as accurate. Since FY 2014, a higher threshold of forecast errors has been used to define correct forecasts whenever higher wind speeds have occurred. Hence, wind speed forecasts with errors less than (7 knots, 10 knots, 15 knots) are accurate forecasts when the observed wind speed equals or exceeds (20 knots, 34 knots, 48 knots) respectively. This measure uses complex skill scores to analyze individual wind speed components.
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NOAA - Marine wind: percentage of accurate forecasts
performance.commerce.gov | Last Updated 2024-03-28T20:22:07.000ZThis measures the accuracy of wind speed forecasts, which are important for marine commerce. Accuracy is defined in terms of error. Legacy statistics are available from FY 1994 through FY 2012. New marine verification program began FY 2013. Beginning in FY 2013, Wind and Wave verification extended out to 5 and 7 days respectively, while the legacy program was limited to verifying Day 1 with errors less than 5 knots are defined as accurate. Since FY 2014, a higher threshold of forecast errors has been used to define correct forecasts whenever higher wind speeds have occurred. Hence, wind speed forecasts with errors less than (7 knots, 10 knots, 15 knots) are accurate forecasts when the observed wind speed equals or exceeds (20 knots, 34 knots, 48 knots) respectively. This measure uses complex skill scores to analyze individual wind speed components.
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NOAA - Aviation ceiling/visibility forecast accuracy Instrument Flight Rules (%)
performance.commerce.gov | Last Updated 2024-03-28T20:35:23.000ZVisibility 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.
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NOAA - Aviation ceiling/visibility forecast false alarm ratio Instrument Flight Rules (%)
performance.commerce.gov | Last Updated 2024-03-29T20:11:07.000ZThe lower this measure is the better, so being below the target is exceeded and above the target is not met. 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. *Please also note that a FAR is is the number of false alarms per the total number of warnings. So if a 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.
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NOAA - Aviation ceiling/visibility forecast false alarm ratio Instrument Flight Rules (%)
performance.commerce.gov | Last Updated 2024-03-28T20:35:25.000ZThe lower this measure is the better, so being below the target is exceeded and above the target is not met. 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. *Please also note that a FAR is the number of false alarms per the total number of warnings. So if a 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.
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NOAA - Aviation ceiling/visibility forecast accuracy Instrument Flight Rules (%)
performance.commerce.gov | Last Updated 2024-03-28T20:23:28.000ZVisibility 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.
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EDA - Percentage of Trade Adjustment Assistance Center (TAAC) clients taking action as a result of the assistance facilitated by the TAAC
performance.commerce.gov | Last Updated 2024-03-28T20:35:31.000ZEleven EDA funded TAACs work with U.S. firms and industries that have been adversely impacted as a result of increased imports of similar or competitive goods to identify specific actions to improve each firm’s competitive position in world markets. “Taking action as a result of the assistance facilitated” means to implement an aspect of the Trade Adjustment Assistance provided by the TAAC. The TAACs provide three main types of assistance: help in preparing petitions for certification, analysis of the firm’s strengths and weaknesses and development of an adjustment proposal, and in depth assistance for implementation of the recovery strategy as set forth in the adjustment proposal.
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NIST - Relative citation impact of NIST-authored publications.
performance.commerce.gov | Last Updated 2024-03-28T20:34:38.000ZThis indicator demonstrates that NIST consistently produces useful and relevant scientific and technical publications and is outcome-oriented. The "relative citation impact" indicator is the ratio of the average number of citations per publication (citation rata) for all NIST publications in a year to the average expected citation rate for similar publications in a large group of peer institutions in the world. Publications typically lag by a minimum of two years due to the time needed for research, writing, journal peer review, and publication processes. The average for U.S. institutions is about 1.3.