Snow depth, soil moisture and soil temperature are measured at the upper Providence meteorological site, from a location with a south facing aspect, using a Campbell Scientific logger to control peripheral devices. Snow depth is measured at 5 nodes in the open, at the drip edge and under canopies of an incense-cedar and white fir tree. Soil moisture and temperature are measured at 10, 30, 60, and 90 cm depths coincident with the snow depth nodes. A 10 watt solar panel provides power for monitoring at 10 minute intervals. Data processing compresses to hourly values.
The upper Providence meteorological site (approximately 1980 m) is located within the Providence subcatchment P303.
Additional metadata are available in the parent directory of this dataset, such as site properties, instrumentation, and processing notes.
Soil volumetric water content (VWC) and soil temperature measured using Decagon Devices ECHO-TM at depths of 10, 30, 60, an 90 cm below the mineral soil surface. Sensor now equivalent to 5TM, http://www.decagon.com/soil-moisture-sensors/
Distance to snow/soil surface and air temperature measured with Judd Communications ultrasonic depth sensor, using analog control. http://www.juddcom.com/
Data control and storage on Campbell Scientific CR1000 datalogger, using AM16/32B multiplexer. http://www.campbellsci.com
Program for data acquisition are located on UC Merced-SNRI digital library. https://eng.ucmerced.edu/snsjho/files/MHWG/Field/Southern_Sierra_CZO_KREW/Providence_Creek_Upper_Met/Water_Balance_Instrument_Cluster/Flat_Cluster/Programs
Water balance, snow depth, soil moisture, soil temperature, air temperature, instrument clusters, aspect, north
XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.
Citation for This Dataset
Bales, R. et al., 2012, Sierra Nevada San Joaquin Hydrologic Observatory, Level 2 data. (https://eng.ucmerced.edu/snsjho/)
Citation for This Webpage
Roger Bales, Matthew Meadows, Erin Stacy, Xiande Meng (2015). "CZO Dataset: Providence, Upper Met, North aspect - Soil Moisture, Soil Temperature, Snow Depth, Air Temperature (2008-2015)." Retrieved 20 Nov 2018, from http://criticalzone.org/sierra/data/dataset/2597/
Data Use Policy
1. Use our data freely. All CZO Data Products* except those labelled Private** are released to the public and may be freely copied, distributed, edited, remixed, and built upon under the condition that you give acknowledgement as described below. Non-CZO data products — like those produced by USGS or NOAA — have their own use policies, which should be followed.
2. Give proper citation and acknowledgement. Publications, models and data products that make use of these datasets must include proper citation and acknowledgement. Most importantly, provide a citation in a similar way as a journal article (i.e. author, title, year of publication, name of CZO “publisher”, edition or version, and URL or DOI access information. See http://www.datacite.org/whycitedata). Also include at least a brief acknowledgement such as: “Data were provided by the NSF-supported Southern Sierra Critical Zone Observatory” (replace with the appropriate observatory name).
3. Let us know how you will use the data. The dataset creators would appreciate hearing of any plans to use the dataset. Consider consultation or collaboration with dataset creators.
*CZO Data Products. Defined as a data collected with any monetary or logistical support from a CZO.
**Private. Most private data will be released to the public within 1-2 years, with some exceptionally challenging datasets up to 4 years. To inquire about potential earlier use, please contact us.
Data Sharing Policy
All CZO investigators and collaborators who receive material or logistical support from a CZO agree to:
1. Share data privately within 1 year. CZO investigators and collaborators agree to provide CZO Data Products* — including data files and metadata for raw, quality controlled and/or derived data — to CZO data managers within one year of collection of samples, in situ or experimental data. By default, data values will be held in a Private CZO Repository**, but metadata will be made public and will provide full attribution to the Dataset Creators†.
2. Release data to public within 2 years. CZO Dataset Creators will be encouraged after one year to release data for public access. Dataset Creators may chose to publish or release data sooner.
3. Request, in writing, data privacy up to 4 years. CZO PIs will review short written applications to extend data privacy beyond 2 years and up to 4 years from time of collection. Extensions beyond 3 years should not be the norm, and will be granted only for compelling cases.
4. Consult with creators of private CZO datasets prior to use. In order to enable the collaborative vision of the CZO program, data in private CZO repositories will be available to other investigators and collaborators within that CZO. Releasing or publishing any derivative of such private data without explicit consent from the dataset creators will be considered a serious scientific ethics violation.
* CZO Data Products. Defined as data collected with any monetary or logistical support from a CZO. Logistical support includes the use of any CZO sensors, sampling infrastructure, equipment, vehicles, or labor from a supported investigator, student or staff person. CZO Data Products can acknowledge multiple additional sources of support.
** Private CZO Repository. Defined as a password-protected directory on each CZO’s data server. Files will be accessible by all investigators and collaborators within the given CZO and logins will be maintained by that local CZO’s data managers. Although data values will not be accessible by the public or ingested into any central data system (i.e. CUAHSI HIS), metadata will be fully discoverable by the public. This provides the dual benefit of giving attribution and credit to dataset creators and the CZO in general, while maintaining protection of intellectual property while publications are pending.
† Dataset Creators. Defined as the people who are responsible for designing, collecting, analyzing and providing quality assurance for a dataset. The creators of a dataset are analogous to the authors of a publication, and datasets should be cited in an analogous manner following the emerging international guidelines described at http://www.datacite.org/whycitedata.
Providence, Lower Met, North aspect (2008-2015). Soil Moisture, Soil Temperature, Snow Depth, Air Te...
Providence, Lower Met, South aspect (2008-2015). Soil Moisture, Soil Temperature, Snow Depth, Air Te...
Providence, Upper Met, Flat aspect (2008-2013). Soil Moisture, Soil Temperature, Snow Depth, Air Tem...
Providence, Upper Met, South aspect (2008-2015). Soil Moisture, Soil Temperature, Snow Depth, Air Te...