Section 1: Overview
Name of Research Project
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Related Project
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Part
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GWF-MWF: Mountain Water Futures
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Program Affiliations
Related Research Project(s)
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GWF-MWF: Mountain Water Futures | |
Dataset Title
Parsivel in Fortress Mountain Snow Laboratory
Additional Information
Creators and Contributors
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André Bertoncini | Point of Contact, Originator | andre.bertoncini@usask.ca | University of Saskatchewan |
John Pomeroy | Principal Investigator | | University of Saskatchewan |
Julie Thériault | Collaborator | | Université du Québec à Montréal |
Abstract
The Parsivel is an optical disdrometer that measures the velocity and size of falling hydrometeors with the goal of classifying hydrometeor type and retrieve precipitation Particle Size Distribution (PSD). We use an OTT Parsivel² laser-optical disdrometer that functions with two sensor heads facing each other. One head is a transmitter that emits radiation (at 650 nm wavelength at the red band) in a horizontal plane and the other head is a receiver that senses how much of that radiation is received. The instrument measures the size of the hydrometeor by measuring the length of radiation that is blocked by the particle diameter. The velocity of the hydrometeor is estimated based on the time that a particular hydrometeor is blocking the radiation between the transmitter and receiver. The OTT Parsivel² retrieves particle velocity and size every minute, with a range in velocity from 0.2 to 20 m/s and a range in particle diameter from 0.2 to 25 mm (OTT Hydromet GmbH, 2018).
OTT Hydromet GmbH. (2018). Operating instructions Present Weather Sensor OTT Parsivel 2. Kempten, Germany. Retrieved from
https://www.ott.com/download/operating-instructions-present-weather-sensor-ott-parsivel2-without-screen-heating/
Purpose
This data was collected to support the GWF project "Mountain Water Futures".
Plain Language Summary
This instrument measures the number, shape, and size of the raindrops and snow crystals close to the surface. These information are important to know for the understanding of precipitation dynamics, more specifically to know how much water volume each raindrop and snow crystal carry before they reach the surface.
Keywords
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Parsivel |
optical disdrometer |
partical size |
particle fallspeed |
precipitation |
Citations
Section 3: Status and Provenance
Dataset Version
1
Dataset Creation Date
Status of data collection/production
Dataset Completion or Abandonment Date
Data Update Frequency
Creation Software
Primary Source of Data
Other Source of Data (if applicable)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
Section 4: Access and Downloads
Access to the Dataset
Terms of Use
Does the data have access restrictions?
Downloading and Characteristics of the Dataset
Download Links and Instructions
For access contact André Bertoncini (andre.bertoncini@usask.ca)
Total Size of all Dataset Files (GB)
File formats and online databases
Other Data Formats (if applicable)
List of Parameters and Variables
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intensity of precipitation | mm/h | 1 min | Parsivel |
precipitation since start | mm | 1 min | Parsivel |
weather code SYNOP WaWa | | 1 min | Parsivel |
weather code METAR/SPECI | | 1 min | Parsivel |
weather code NWS | | 1 min | Parsivel |
radar reflectivity | dBz | 1 min | Parsivel (simulated by Parsivel software) |
MOR Visibility | m | 1 min | Parsivel |
signal amplitude of laserband | | 1 min | Parsivel |
number of detected particles | | 1 min | Parsivel |
temperature in sensor | °C | 1 min | Parsivel |
heating current | A | 1 min | Parsivel |
sensor voltage | V | 1 min | Parsivel |
kinetic energy | J/(m2h) | 1 min | Parsivel |
snow intensity | mm/h | 1 min | Parsivel |
size and speed spectrum | number of particles per class | 1 min | Parsivel (spectrum for 32 classes of particle size and 32 classes of speed) |
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