| dataFormat | NetCDF |
| authority | edu.okstate.hpcc |
| featureType | Grid |
| dataSize | 340266152 |
| id | monthly-soil-moisture/vwc_2018-07.nc |
Dataset: vwc_2018-07.nc
Catalog: /thredds/catalog/monthly-soil-moisture/catalog.html
Access:
| Service | Type | Description |
|---|---|---|
| OpenDAP | Data Access | Access dataset through OPeNDAP using the DAP2 protocol. |
| DAP4 | Data Access | Access dataset using the DAP4 protocol. |
| HTTPServer | Data Access | HTTP file download. |
| NetcdfSubset | Data Access | A web service for subsetting CDM scientific datasets. |
| NCML | Metadata | Provide NCML representation of a dataset. |
| UDDC | Metadata | An evaluation of how well the metadata contained in the dataset conforms to the NetCDF Attribute Convention for Data Discovery (NACDD) |
| ISO | Metadata | Provide ISO 19115 metadata representation of a dataset's structure and metadata. |
Viewers:
| Viewer | Type | Description |
|---|---|---|
| default_viewer.ipynb | Jupyter Notebook | The TDS default viewer attempts to plot any Variable contained in the Dataset. |
Description:
- summary: This dataset represents the output of the automated soil moisture mapping system for the state of Oklahoma, USA, as described in Ochsner et al. (2019; doi:10.1029/2018WR024535) and displayed at http://soilmoisture.okstate.edu/.
- comment: The maps of soil volumetric water content (VWC) are generated using (1) in-situ soil moisture data from the Oklahoma Mesonet used in a regression kriging routine that incorporates (2) soil texture (percent sand) estimates from USDA-NRCS SSURGO and (3) an antecedent precipitation index computed from NOAA NWS Arkansas Red Basin River Forecast Center multisensor precipitation estimates. Each pixel is 800 by 800 meters, which is approximately the same area as one quarter section. The maps are valid at midnight local standard time (0600 UTC).
- funding: This material is based on work supported by the National Science Foundation under Grant No. IIA-1301789. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
- rights: CC BY-SA. By downloading this dataset you agree to the following terms of use. You agree that you will not copy, share, or redistribute the data in any form. This dataset is provisional, and the creators assume no liability for its contents. You agree that any publication using data from this dataset will cite the following paper: Ochsner, T.E., E. Linde, M. Haffner and J. Dong. 2019. Mesoscale Soil Moisture Patterns Revealed Using a Sparse In Situ Network and Regression Kriging. Water Resour. Res. 55: 4785-4800. doi:10.1029/2018wr024535.
- note: Each of these files contains one calendar month of daily soil moisture data. Together, these files constitute the aggregated VWC dataset.
Contributors:
- PI : Tyson Ochsner
- Research Computing Staff : Evan Linde
- Postdoctoral Fellow : Jason C. Patton
- Graduate Research Assistant : Matthew Haffner
- Graduate Research Assistant : Jingnuo Dong
Keywords:
- : soil moisture
- : volumetric water content
- : vwc
Dates:
- modified : 2020-07-18T09:52:40.413Z
Projects:
- : Adapting Socio-ecological Systems to Increased Climate Variability
Creators:
-
Tyson Ochsner
- email: tyson.ochsner@okstate.edu
- http://soilmoisture.okstate.edu/
Publishers:
-
Oklahoma State University High Performance Computing Center (OSU HPCC)
- email: hpcc@okstate.edu
- http://hpcc.okstate.edu/
Variables:
- Vocabulary [
CF-1.7]:
- kriging_variance ((cm3 cm-3)^2) = kriging variance
- model = model
- nugget ((cm3 cm-3)^2) = nugget
- range (m) = range
- rmse (cm3 cm-3) = root mean squared error from leave-one-out cross validation
- sill ((cm3 cm-3)^2) = sill
- vwc (cm3/cm3) = volumetric water content = volume_fraction_of_water_in_soil
GeospatialCoverage:
- Longitude: -103.000234587733 to -94.43596656577 degrees_east
- Latitude: 33.6268113896942 to 36.9961704209956 degrees_north
- Altitude: 5.0 to 60.0 cm (positive is down)