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The Field Systems Operations Center ASOS Dataset Library Chester V. Schmitt IV

The Field Systems Operations Center ASOS Dataset Library Chester V. Schmitt IV Field Systems Operations Center, Office of Operational Systems/NWS/NOAA, Silver Spring, Maryland ABSTRACT.

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The Field Systems Operations Center ASOS Dataset Library Chester V. Schmitt IV

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  1. The Field Systems Operations Center ASOS Dataset Library Chester V. Schmitt IV Field Systems Operations Center, Office of Operational Systems/NWS/NOAA, Silver Spring, Maryland ABSTRACT The Field Systems Operations Center (FSOC) ASOS Dataset Library is a dynamic collection of raw sensor data that has been collected from various ASOS sites and formatted for use by the ASOS simulator: ASENSE. The purpose of the FSOC ASOS Dataset Library is to thoroughly test ASOS firmware and algorithm improvements, with particular attention being paid to scenarios which stress ASOS algorithms. The FSOC ASOS Dataset Library is organized into cases based on a cadre of meteorological events ranging from clear skies to severe winter storms. Cases generally range in duration from 2 to 8 hours; however there are cases of shorter and longer duration. Each case is made up of a collection of datasets from one or more ASOS sensors. Cases contain 1 to 15 datasets, observations collected from the ASOS for the event, test scenarios and expected results based on the present software baseline. To date, about 80 cases are contained in the library, with more cases being added as they occur. Test Cases are classified according to season: • Data from ASOS sensors are collected from the site and formatted into datasets for use by ASOS simulators. • Datasets are organized into test cases. Test cases are identified according to the date of the event and the location from which the data was collected. • Test cases are made up of 1 to 15 datasets, and are generally 2 to 8 hours in duration. • Cases also contain observations collected from the site, metadata describing the event and test procedures. The test cases are organized according to ASOS algorithm, so that a set of regression tests can be easily designed according to the type of software modification under test. • Types of ASOS Algorithms: • Sky Condition • Visibility & variable visibility • Temperature & Dewpoint • Wind • Wind Character • Present Weather • Ice Accretion • Blowing Snow • Accumulated precipitation • Thunderstorm • Pressure • Pressure Tendency • Types of Datasets: • Pressure sensor • Temperature/Dewpoint (HO83/1088) • DTS1 • LEDWI (Present Wx) • Visibility • Ceilometer • Wind sensor • Freezing Rain sensor frequency • AWPAG/Tipping Bucket • Met Discon

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