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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
GWF-SPADE: Storms and Precipitation Across the Continental Divide Experiment
Select second related project (if applicable)
Dataset Title
Meteorological observations and measurements collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April – June 2019
Additional Information
GeoNetwork Record: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/e6ac90a3-897f-4c89-b919-2d6eebb334e8
Abstract
Global Water Future’s Storms and Precipitation Across the continental Divide Experiment (SPADE) was initiated to enhance our knowledge of the contribution of different moisture flows on precipitation across the Canadian Rockies. SPADE installed instrumentation on both sides of the continental divide to gather automated and manual observations during an intensive field campaign from 24 April to 26 June 2019. Various meteorological instruments were deployed including a two Doppler LiDARs, three vertically pointing micro rain radars and three optical disdrometers, alongside human observers during precipitation events. Detailed meteorological data such as air temperature, relative humidity, 3D wind fields, vertical profiles of radar reflectivity and Doppler velocity, precipitation and its type, and snow microphotography images were collected. This dataset will serve as a baseline for future work on atmospheric conditions over major orographic features by comparing the varying conditions on either side of a large topographic feature.
Citations
Thériault, J. M., Déry, S. J., Pomeroy, J. W., Stewart, R. E., Smith, H., Thompson, H., Bertoncini, A., Hébert-Pinard, C., Mitchell, S., Morris, J., Almonte, J., Lachapelle, M., Mariani, Z., Carton, C. (2020). Meteorological observations and measurements collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April – June 2019 [Dataset]. Federated Research Data Repository. https://doi.org/10.20383/101.0221 . Thériault, J. M., Déry, S. J., Pomeroy, J. W., Smith, H. M., Almonte, J., Bertoncini, A., Crawford, R. W., Desroches-Lapointe, A., Lachapelle, M., Mariani, Z., Mitchell, S., Morris, J. E., Hébert-Pinard, C., Rodriguez, P., and Thompson, H. D.: Meteorological observations collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April–June 2019, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-160 , in review, 2020.
Temporal Extent
Begin Date
End Date
2018-09-21
2019-06-26
Geographic Bounding Box
West Boundary Longitude
-116
East Boundary Longitude
-115
North Boundary Latitude
51.3
South Boundary Latitude
50.6
Is Boundary Rectangular
○ Yes
◉ No
Dataset Version
1
Dataset Creation Date
2020-05-11
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Dataset Completion or Abandonment Date
2020-05-11
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
○ As needed
○ Irregular
◉ None planned
○ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
◻ Field collected samples
◻ Field experiment
▣ Field observation
◻ Field survey
◻ Human biological samples
◻ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
1. Description of methods used for collection/generation of data: Thériault, J. M., Déry, S. J., Pomeroy, J. W., Smith, H. M., Almonte, J., Bertoncini, A., Crawford, R. W., Desroches-Lapointe, A., Lachapelle, M., Mariani, Z., Mitchell, S., Morris, J. E., Hébert-Pinard, C., Rodriguez, P., and Thompson, H. D.: Meteorological observations collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April–June 2019, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-160 , in review, 2020. 2. Methods for processing the data: Most files have not been processed and are raw files. MRR files have been processed using with a noise removal algorithm from Maahn and Kollias (2012). This is described in the data paper. Maahn, M., and Kollias, P.: Improved Micro Rain Radar snow measurements using Doppler spectra post-processing. Atmos. Meas. Tech., 5, 2661–2673, https://doi.org/10.5194/amt-5-2661-2012 , 2012. 3. Instrument- or software-specific information needed to interpret the data: Files are all csv, txt, or netcdf so basic programming package is required 4. Environmental/experimental conditions: Data were gathered over the course of an intensive field campaign in the Canadian Rockies from 26 April – 26 June, 2019. Data were gathered from three permanent field sites: i) Nipika Mountain Resort (50.61183889N 115.8008167W, 1087 m ASL), ii) Fortress Mountain Powerline (50.82423333N 115.1972167W, 2076 m ASL), and iii) Fortress Junction Service (50.785568N 115.160941W, 1580 m ASL). Partial data were also gathered on a temporary from the Biogeoscience Institute (51.026681N 115.034411W, 1418 m ASL), and Storm Mountain Lodge (51.25283667N 115.9988733W, 1723 m ASL).
Terms of Use
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Download Links and Instructions
https://doi.org/10.20383/101.0221
Total Size of all Dataset Files (GB)
200
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
▣ CSV files (.csv - comma or tab separated value files)
◻ Excel document files (.xlsx, .xls)
▣ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
▣ NetCDF files (.netcdf, .nc)
▣ Text files (.txt)
◻ Word document files (.docx, .doc)
◻ Other (Please specify in field below)
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