Meteorological measurements from five locations within the Badger Wash study area near Mack, Colorado (ver. 2.0, April 2023)
Dates
Publication Date
2020-04-09
Start Date
2005-01-26
End Date
2019-12-31
Revision
2023-04-19
Citation
Grote, E.E., Geiger, E.L., Belnap, J., Kind, A.L., and Duniway, M.C., 2023, Meteorological measurements from five locations within the Badger Wash study area near Mack, Colorado (ver. 2.0, April 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P963O7X8.
Summary
These data are records collected from an automated weather station and four stand-alone tipping bucket rain gauges each with their own data logger that were in operation between February 2005 and December 2019 in the Badger Wash Study Area near Mack, Colorado as part of a larger project funded by the Bureau of Land Management. These files are hourly-interval data from the automated weather station with meteorological parameters of air temperature, relative humidity, wind speed, wind direction, wind gusts, photon flux density and rainfall as well as from a soil pit with temperature and soil moisture measurements at 5, 10, 20, 40, 60, 80 and 100 cm deep. The standalone tipping-bucket rain gauge data which records the time of each tip [...]
Summary
These data are records collected from an automated weather station and four stand-alone tipping bucket rain gauges each with their own data logger that were in operation between February 2005 and December 2019 in the Badger Wash Study Area near Mack, Colorado as part of a larger project funded by the Bureau of Land Management. These files are hourly-interval data from the automated weather station with meteorological parameters of air temperature, relative humidity, wind speed, wind direction, wind gusts, photon flux density and rainfall as well as from a soil pit with temperature and soil moisture measurements at 5, 10, 20, 40, 60, 80 and 100 cm deep. The standalone tipping-bucket rain gauge data which records the time of each tip were processed to mimic the hourly interval records of the automated weather station and included rain intensity parameters as well. A separate table created by the data logger in the automated weather station recorded the time of each tip of the its tipping bucket rain gauge those data were processed in the same way as for the standalone tipping buckets. The Badger Wash study area contains paired grazed and ungrazed watersheds which were originally studied from 1954 to 1965 (Lusby 1979). Data collection was conducted using automated weather stations physically visited and maintained by scientists from the Southwest Biological Science Center. These data span the time period from 2005 through 2019.
Lusby, G.C., Effects of grazing on runoff and sediment yield from desert rangeland at Badger Wash in western Colorado, 1953-73: Water Supply Paper 1532- I, https://doi.org/10.3133/wsp1532I.
These meteorological data from the Badger Wash Study Area near Mack Colorado are associated with a larger set of studies investigating the effects of grazing on vegetation and runoff (Duniway et al. 2018, Fick et al. 2020) was funded by the Bureau of Land Management. Meteorological data are important for showing short term weather events as well as longer term climate trends. Spatially separated precipitation gauges allow for better characterization of the heterogeneity of precipitation events.
Duniway, M.C., Geiger, E.L., Minnick, T.J., Phillips, S.L. and Belnap, J., 2018. Insights from long-term ungrazed and grazed watersheds in a salt desert Colorado plateau ecosystem. Rangeland Ecology & Management, 71(4), pp.492-505, https://doi.org/10.1016/j.rama.2018.02.007.
Fick, S.E., Barger, N., Tatarko, J. and Duniway, M.C., 2020. Induced biological soil crust controls on wind erodibility and dust (PM10) emissions. Earth Surface Processes and Landforms, 45(1), pp.224-236, https://doi.org/10.1002/esp.4731.
Rights
The author(s) of these data request that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.