Environmental Data Initiative logo
EDI Data Portal

This data package is not the most recent revision of a series.  (View Newest Revision)

Data Package Summary    View Full Metadata

  • Hubbard Brook Experimental Forest: Daily Precipitation Standard Rain Gage Measurements, 1956 - present
  • USDA Forest Service, Northern Research Station
  • 2020-06-18
  • USDA Forest Service, Northern Research Station. 2020. Hubbard Brook Experimental Forest: Daily Precipitation Standard Rain Gage Measurements, 1956 - present ver 13. Environmental Data Initiative. https://doi.org/10.6073/pasta/dfad54606110f96c73d21555cd6c7a1b (Accessed 2024-04-16).

  • Precipitation has been measured using rain gauges located in or around each watershed since 1956. Three types of rain gauges have been used: standard, mechanical weight recording, and electronic weight recording. Between 1956 and 2014, precipitation was measured weekly at standard gages located at 24 stations in or near gaged watersheds and at the headquarters building. Weight-recording gages were located at 7 of the 24 stations and capture a continuous strip-chart record. Weekly totals were prorated using daily totals from the nearest recording gage. Beginning in 2011, electronic weighing rain gauges began being implemented to measure 15-minute precipitation. The number of precipitation stations was reduced to 10, when each station was fully converted to an electronic gauge for measuring 15-minute and daily precipitation beginning in 2015 (Green et al. 2018).

    These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

    Publications related to this dataset:

    Bailey, Amey Schenck; Hornbeck, James W.; Campbell, John L.; Eagar, Christopher. 2003. Hydrometeorological database for Hubbard Brook Experimental Forest: 1955-2000. Gen. Tech. Rep. NE-305. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station. 36 p.

    Green, M.B., Campbell, J.L., Yanai, R.D., Bailey, S.W., Bailey, A.S., Grant, N., Halm, I., Kelsey, E.P. and Rustad, L.E., 2018. Downsizing a long-term precipitation network: Using a quantitative approach to inform difficult decisions. PLoS one, 13(5), p.e0195966.

  • N: 43.959      S: 43.914      E: -71.7022      W: -71.8062
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data (\"Data User\" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available \"as is.\" The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • https://doi.org/10.6073/pasta/dfad54606110f96c73d21555cd6c7a1b
  • Analyze this data package using:           
Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is proud to be affiliated with the following organizations: DataCite logo DataONE logo ESIP logo re3data logo