This WASSERSTEIN-2_readme20250606.txt file was generated on 20250606 by Kaylee Alexander ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Highland PARSIVEL Disdrometer Measurements 2022–2024 2. Author Information Principal Investigator Contact Information Name: Jim Steenburgh Institution: Atmospheric Sciences, University of Utah Address: 819 William C. Browning Building Email: jim.steenburgh@utah.edu ORCID: 0000-0003-1028-4230 Associate or Co-investigator Contact Information Name: Michael L. Wasserstein Institution: Atmospheric Sciences, University of Utah Address: 819 William C. Browning Building Email: michael.wasserstein@utah.edu ORCID: 0009-0003-8524-824X Associate or Co-investigator Contact Information Name: Peter G. Veals Institution: Atmospheric Sciences, University of Utah Address: 135 S 1460 East Rm 819 (WBB), Salt Lake City, UT 84112 Email: peter.veals@utah.edu ORCID: 0000-0002-4229-8509 Associate or Co-investigator Contact Information Name: Ashley Evans Institution: Atmospheric Sciences, University of Utah Address: 135 S 1460 East Rm 819 (WBB), Salt Lake City, UT 84112 Email: evans.ashley@utah.edu ORCID: 0009-0008-2631-9606 Associate or Co-investigator Contact Information Name: David Kingsmill Institution: University of Colorado Boulder Address: CIRES Building, 1665 Central Campus Mall, 216 UCB, Boulder, CO 80309 Email: david.kingsmill@colorado.edu ORCID: 0000-0001-5824-8402 3. Date of data collection (single date, range, approximate date): 20221126 to 20240510 4. Geographic location of data collection (where was data collected?): Highland High School, Salt Lake City, UT (40.724486°N; 111.843723°W; 1372 m MSL) 5. Information about funding sources that supported the collection of the data: National Science Foundation; National Oceanic and Atmospheric Administration -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC BY NC - Allows others to use and share your data non-commercially and with attribution. 2. Links to publications that cite or use the data: NA 3. Links to other publicly accessible locations of the data: NA 4. Links/relationships to ancillary data sets: NA 5. Was data derived from another source? No 6. Recommended citation for the data: Steenburgh, Jim, Michael L. Wasserstein, Peter G. Veals, Ashley Evans, and David Kingsmill. 2025. "Highland PARSIVEL Disdrometer Measurements 2022-2024." The Hive: University of Utah Research Data Repository. https://doi.org/10.7278/S5d-8vtz-5fsn. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: PARSIVEL_hgh.zip Short description: Contains two subfolders for both raw data files, titled "hgh[YYYJJJHH]_raw.txt" and for statistics files, titled "hgh[YYYJJJHH]_raw.txt". Within each subfolder are PARSIVEL data for each hour where data was collected. Each hour contains its own file. In the file naming schema, hgh refers to Highland, YYY is a 3-digit code for the year, JJJ is the 3-digit Julian date corresponding with the day within the year, and HH is the 2-digit hour in UTC. For example, hgh02231818 refers to data for Highland in the year 2022, on the 318th day of the year, in the hour covering 18 to 19 UTC. 2. Relationship between files: The stats files process the raw data to include derived values such as precipitation intensity, precipitation amount, radar reflectivity factor, or precipitation type. 3. Additional related data collected that was not included in the current data package: NA 4. Are there multiple versions of the dataset? No -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: An OTT PARSIVEL disdrometer was installed on the roof of Highland during the 2022/23 and 2023/24 cool-seasons. The PARSIVEL is a low-maintenance sensor that bins falling hydrometeors into one of 32 fall velocity and 32 size bins, leaving 1024 possible fall-size bins for precipitation. The PARSIVEL automatically produces data files for each hour, unless no precipitation was recorded for that hour. 2. Methods for processing the data: Data were automatically processed by the PARSIVEL software and stored on the University of Utah Center for High Performance Computing system. 3. Instrument- or software-specific information needed to interpret the data: NA 4. Standards and calibration information, if appropriate: NA 5. Environmental/experimental conditions: NA 6. Describe any quality-assurance procedures performed on the data: NA 7. People involved with sample collection, processing, analysis and/or submission: NA ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: hgh[YYYJJJHH]_raw.txt ----------------------------------------- 1. Filenaming convention: sssYYJJJHH_raw.txt sss = three-letter site ID YY = two-digit year JJJ = three-digit calendar day HH = two-digit hour 2. MM/DD/YY OTT Parsivel (SN: SSSSSSS) MM = two-digit month (in UTC) DD = two-digit day (in UTC) YY = two-digit year (in UTC) SSSSSSS = serial number 3. Field List Field 1: MMSSmmm MM = minute, SS = second, and mmm = millisecond at the time the sample was acquired from the serial port (in UTC). Field 2: RRRR.RRR Precipitation intensity; units: millimeter per hour Field 3: AA.AA Accumulated precipitation since last raw sample; units: millimeter Field 4: ZZ.ZZZ Radar reflectivity factor; units: decibel Field 5: NNNNN Number of detected particles since the last raw sample Field 6: S Sensor status. 0 = Sensor working correctly 1 = Laser protective glass is dirty, but measurements are still possible. 2 = Laser protective glass is dirty, partially covered. No further usable measurements are possible. 3 = Laser damaged. Field 7: EEE Error Code. 0 = no errors. Field 8 - 39: N.NNN, N(d); units: per meter cubed millimeter NOTE: Missing data values are format filled with -9's. Field 40 - 71: V.VVV, v(d); unitless Field 72 - 1095: P, Number of particles detected for each particle-diameter/velocity combination (32 x 32 matrix). The 32 particle-diameter blocks are listed from left to right for each incremental velocity class. For example, Velocity1-PartDiam1...Velocity1-PartDiam32 Velocity2-PartDiam1...Velocity2-PartDiam32 ... Velocity32-PartDiam1...Velocity32-PartDiam32 The particle diameters and velocities are as follows: BIN PartDiam(mm) BIN Velocity(m/s) B1 0.062 B1 0.05 B2 0.187 B2 0.15 B3 0.312 B3 0.25 B4 0.437 B4 0.35 B5 0.562 B5 0.45 B6 0.687 B6 0.55 B7 0.812 B7 0.65 B8 0.937 B8 0.75 B9 1.062 B9 0.85 B10 1.187 B10 0.95 B11 1.375 B11 1.10 B12 1.625 B12 1.30 B13 1.875 B13 1.50 B14 2.125 B14 1.70 B15 2.375 B15 1.90 B16 2.750 B16 2.20 B17 3.250 B17 2.60 B18 3.750 B18 3.00 B19 4.250 B19 3.40 B20 4.750 B20 3.80 B21 5.500 B21 4.40 B22 6.500 B22 5.80 B23 7.500 B23 6.00 B24 8.500 B24 6.80 B25 9.500 B25 7.60 B26 11.000 B26 8.80 B27 13.000 B27 10.40 B28 15.000 B28 12.00 B29 17.000 B29 13.60 B30 19.000 B30 15.20 B31 21.500 B31 17.60 B32 24.500 B32 20.80 NOTE: Raw data samples are only written to file when at least one particle is detected. All other missing data values are format filled with -9's. 4. Missing data codes: -9 5. Specialized formats or other abbreviations used: NA ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: hgh[YYYJJJHH]_stats.txt ----------------------------------------- 1. Filenaming convention: sssYYJJJHH_stats.txt sss = three-letter site ID YY = two-digit year JJJ = three-digit calendar day HH = two-digit hour 2. OTT Parsivel (SN: SSSSSSS) Time (YYJJJHH): TTTTTTT UTC SSSSSSS = serial number TTTTTTT = two-digit year, three-digit calendar day, and two-digit hour (in UTC) 3. Field List 1 Field 1: Particle Distribution Field 2: Samples - Quality control information derived by the data acquisition software Field 3: Precipitation - Precipitation data measured by the sensor Field 4: Laser Status - Information describing laser status as reported by the sensor Field 5: Sensor Status - Information describing sensor status as reported by the sensor Field 6: Precipitation Partitioning - Particle-partitioning and precipitation-type information based on velocity-diameter relationships 4. Field List 2 Field 1: MM:SS:mmm MM = begin minute, SS = begin second, and mmm = begin millisecond of the accumulation/averaging period (in UTC) Field 2: MM:SS:mmm MM = end minute, SS = end second, and mmm = end millisecond of the accumulation/averaging period (in UTC) Field 3 - 34: B1 ... B32 Number of drops registered in classes 1 - 32. For each class/particle-diameter bin, drops are summed over all 32 velocity bins ranging from 0.050 m/s to 20.8 m/s. The average particle diameters for each class are listed below in the Raw Output File section. Field 35: Blackout Number of raw data samples excluded from the archive during PC clock synchronization. These samples are excluded from the raw data archive. Field 36: Good Number of samples that passed the quality control checks, as performed by the data acquisition software. Field 37: Bad Number of samples that failed the quality control checks, as performed by the data acquisition software. These samples are excluded from the raw data archive. Field 38: NumParticle Number of detected particles in the averaging period Field 39: Rate(mm/h) Precipitation intensity; units: millimeter per hour Field 40: Amount(mm) Accumulated precipitation over the averaging period; units: millimeter Field 41: AmountSum(mm) Accumulated precipitation over the precipitation event. This value is reset to zero when no precipitation has been detected for a user-specified amount of time, as specified in the data acquisition software; units: millimeter Field 42: Z(dB) Radar reflectivity factor; units: decibel Field 43: NumError Number of errors accumulated over the averaging period. Field 44: Dirty Number of dirty errors accumulated over the averaging period. These errors indicate that the laser protective glass is dirty, but measurements are still possible. Field 45: VeryDirty Number of very dirty errors accumulated over the averaging period. These errors indicate that the laser protective glass is dirty and partially covered. No further usable measurements are possible. Field 46: Damaged Number of damage errors accumulated over the averaging period. These errors indicate that the laser is damaged. Field 47: SignalAvg The average signal amplitude of the laser strip; unitless Field 48: SignalStdDev The standard deviation of the signal amplitude of the laser strip; unitless Field 49: TempAvg(C) The average temperature in the sensor; units: Celsius Field 50: TempStdDev(C) The standard deviation of the temperature in the sensor; units: Celsius Field 51: VoltAvg(V) The average power supply voltage in the sensor; units: Volts Field 52: VoltStdDev(V) The standard deviation of the power supply voltage in the sensor; units: Volts Field 53: HeatCurrentAvg(A) The average current through the heating system; units: Amps Field 54: HeatCurrentStdDev(A) The standard deviation of the current through the heating system; units: Amps Field 55: NumRain Number of particles detected as rain Field 56: NumNoRain Number of particles detected not as rain Field 57: NumAmbig Number of particles detected as ambiguous Field 58: Type Precipitation type: 0 = no precipitation; 1 = rain; 2 = mix; 3 = snow. Determined by the following logic: RainFraction = NumRain / (NumRain + NumNoRain) If RainFraction is greater than 0.75, the precipitation type is rain. If RainFraction is less than 0.25, the precipitation type is snow If RainFraction is in between, the precipitation type is mixed. If the sum of NumRain and NumNoRain is zero, then precipitation type cannot be determined.