DOI: 10.5061/dryad.dz08kpsb9
title: CSU Atmospheric Science Parsival disdrometer data - ATS roof deployment

description: This dataset contains the OTT Disdrometer data for the instrument when it
 was deployed on the roof of the Colorado State University Department of
 Atmospheric Science Main building. The instrument was initially installed
 in June of 2018 and collected data until January 2022, when it was moved
 for a field project. Between 6/21/2018 and 1/19/2022, there are many
 missing days due to outages and failures. The raw data are provided here
 along with python code to read and plot the raw data. The data are binned
 by fall speed and diameter, and also include precipitation rates, number
 of particles, and weather codes.
description: An OTT Parsivel 2 Disdrometer was installed on the roof of the
 Department of Atmospheric Science (ATS) Main Building at the Foothills
 Campus of Colorado State University. This disrometer was placed on an
 unobstructed instrument platform. The position of this location is
 approximately 40.5879 °N, 105.1476 °W with an altitude of ~1,595 m (5233
 ft). The instrument was deployed at this position from 6/21/2018 through
 to 1/19/2022, after which the instrument was deployed on several field
 campaigns (PRECIP, BACS). The data is processed through OTT’s ASDO
 software.
description: # CSU Atmospheric Science Parsival disdrometer data - ATS roof deployment
 Dataset DOI:
 [10.5061/dryad.dz08kpsb9](https://doi.org/10.5061/dryad.dz08kpsb9) ##
 Description of the data and file structure **File format:**\ The data are
 provided in a zipped tar file called csuats_ott.tar.gz Inside the tar file
 are CSV (Comma-separated values) files for each day with the filename
 structure of: YYYYMMDD.CSUATS.MIS **Missing and bad data:** This dataset
 does not represent a continuous timeseries from installation in Jun 2018
 through Jan 2022. At times the disdrometer was offline. During periods
 when it was offline, there are no data recorded and times and/or entire
 day files will be missing. When the disdrometer is collecting data but
 does not detect any precipitation, the reflectivity (Column 8) is set to
 -9.999 and the spectrum columns (17 onward) will not be present. If there
 is precipitation detected, the columns in the spectrum will be empty if
 there is nothing detected in that bin. **Columns in data:** 1: Date
 (DD.MM.YYYY) 2: Time, local time (HH:MM:SS) 3: Precip. Rate (mm / hr) 4:
 Accumulated Precip since last reset (mm) 5: WaWa Code 6: METAR Code 7: NWS
 Weather Code 8: Reflectivity (dBz) 9: Visibility (m) 10: Amplitude of the
 Laser Signal 11: Total Number of particles  12: Temperature of the Sensor
 (°C)  13: Heating Current (A) 14: Voltage (V) 15: Kinetic Energy
 (J/m^2^/h) 16: Snow Rate (mm / hr) 17: If there is precipitation, a 2D
 histogram, with a shape of 32x32, representing the number of hydrometeors
 with an associated diameter and fall speed as listed below: **Diameter
 (mm) bins (midpoints):** diam =
 [0.062,0.187,0.312,0.437,0.562,0.687,0.812,0.937,1.062,1.187,
         1.375,1.625,1.875,2.125,2.375,2.750,3.250,3.750,4.250,4.750,
         5.500,6.500,7.500,8.500,9.500,11.00,13.00,15.00,17.00,19.00,21.50,24.50] **Fall speed (m/s) bins (midpoints):** fall = [0.05,0.15,0.25,0.35,0.45,0.55,0.65,0.75,0.85,0.95,         1.10,1.30,1.50,1.70,1.90,2.20,2.60,3.00,3.40,3.80,         4.40,5.20,6.00,6.80,7.60,8.80,10.4,12.0,13.6,15.2,17.6,20.8] **Additional information:** **[https://www.ott.com/products/meteorological-sensors-26/ott-parsivel2-laser-weather-sensor-2392/](https://www.ott.com/products/meteorological-sensors-26/ott-parsivel2-laser-weather-sensor-2392/)** 
 
 ## Code/software A python reader ("Read_Parsival_Data_CLN.py")
 is included. This code reads and plots the last record in the file as an
 example. It uses Python3. ## Access information Other publicly accessible
 locations of the data: * Data will be available through the
 DISDRODB [https://github.com/ltelab/disdrodb](https://github.com/ltelab/disdrodb) Data was derived from the following sources: * N/A