Data Package Metadata   View Summary

Hubbard Brook Experimental Forest: Total Daily Precipitation by Watershed, 1956 - present

General Information
Data Package:
Local Identifier:knb-lter-hbr.14.11
Title:Hubbard Brook Experimental Forest: Total Daily Precipitation by Watershed, 1956 - present
Alternate Identifier:knb-lter-hbr.14
Alternate Identifier:DOI PLACE HOLDER
Abstract:

From 1956 to 2014, watershed precipitation was estimated using the Thiessen Means weighting method. Daily watershed precipitation values were a weighted average of daily precipitation from standard gages in or near the watershed. The weighting factor for each gage was the fraction of the watershed area nearest that gage. Beginning in 2015, a similar system was implemented using the 10 remaining rain gauges, however Inverse Distance Weighting was used to estimate the weighting of each gauge instead of the Theissen polygon approach.

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.

Short Name:Precipitation Daily by Watershed
Publication Date:2019-05-19
Language:English

Time Period
Begin:
1956-01-02
End:
2019-02-05

People and Organizations
Contact:Information Manager (Hubbard Brook Ecosystem Study) [  email ]
Creator:USDA Forest Service, Northern Research Station,  

Data Entities
Data Table Name:
dailyWatershedPrecip1956-2019.csv
Description:
Daily Watershed Precipitation
Other Name:
idw_weights_new_sfw.csv
Description:
Inverse distance weighting – south facing watersheds
Other Name:
idw_weights_nfw.csv
Description:
Inverse distance weighting – north facing watersheds
Other Name:
thiessen_weights.csv
Description:
Theissen weighting factors for estimating watershed precipitation from standard rain gage precipitation at HBEF
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/14/11/dd6f6971f90bc69853c18766d24b4c28
Name:dailyWatershedPrecip1956-2019.csv
Description:Daily Watershed Precipitation
Number of Records:176730
Number of Columns:3

Table Structure
Object Name:dailyWatershedPrecip1956-2019.csv
Size:3010123 byte
Authentication:5b2caf0b40a79861cf9c3e8f5675223b Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 DATEwatershedPrecip
Column Name:DATE  
watershed  
Precip  
Definition:DateWatershed identification numberPrecipitation
Storage Type:date  
string  
float  
Measurement Type:dateTimenominalratio
Measurement Values Domain:
FormatYYYY-MM-DD
Precision
DefinitionNumber 1-9
UnitmillimeterPerDay
Typereal
Missing Value Code:      
Accuracy Report:      
Accuracy Assessment:      
Coverage:      
Methods:      

Non-Categorized Data Resource

Name:idw_weights_new_sfw.csv
Entity Type:otherentity
Description:Inverse distance weighting – south facing watersheds
Physical Structure Description:
Object Name:idw_weights_new_sfw.csv
Size:411 byte
Authentication:c11541fe5b826dc7ad72ef6e9853b5fd Calculated By MD5
Externally Defined Format:
Format Name:NA
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/14/11/66805e1eb4b7bb63ec83adb6b409161e

Non-Categorized Data Resource

Name:idw_weights_nfw.csv
Entity Type:otherentity
Description:Inverse distance weighting – north facing watersheds
Physical Structure Description:
Object Name:idw_weights_nfw.csv
Size:185 byte
Authentication:bccb146ecd1c344663ba9fd50ad39db7 Calculated By MD5
Externally Defined Format:
Format Name:NA
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/14/11/19d84d8ef978147ed1f23644ea38b151

Non-Categorized Data Resource

Name:thiessen_weights.csv
Entity Type:otherentity
Description:Theissen weighting factors for estimating watershed precipitation from standard rain gage precipitation at HBEF
Physical Structure Description:
Object Name:thiessen_weights.csv
Size:734 byte
Authentication:2479e6b2d636665e913b2ed25b6634bb Calculated By MD5
Externally Defined Format:
Format Name:NA
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/14/11/8896d45b5d017172422ba52253114011

Data Package Usage Rights

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.

Keywords

By Thesaurus:
Hubbard Brook Ecosystem Studygage, gauge, HBR, Hubbard Brook LTER
LTER Network Controlled Vocabularyecosystems, forests, precipitation, rain, watersheds
LTER Network Core Research Areasdisturbance

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

SAMPLING DESIGN

Precipitation data has been collected with a network of 24 standard and 7 recording rain gauges beginning in 1956. Beginning in 2011, electronic weighing rain gauges were phased into operations, and the electronic gauges were the only instruments used from 2015 onwards. See Dataset 13 for collection details.

From 1956 to 2014, the analog charts on the recording rain gages are changed approximately weekly, at which time the accumulation in the standard rain gages is measured. The daily recording rain gage data and weekly standard rain gage data were entered into the computer. Missing data were filled by estimation from other nearby gages. A computer program used the recording gage data to prorate the standard gage data into daily amounts, and calculated daily precipitation on each gaged watershed by the Thiessen Mean weighting method (Linsley et. al., 1958). A table of weighting values is included in the text file thiessen_weights.txt (below)

Beginning in 2015, the daily weighted precipitation for each watershed was estimated with the electronic gauges deployed at only 10 sites. The weighted contribution of each gauge to each watershed was estimated with an Inverse Distance Weighting approach, and the weights are included below (Green et al. 2018).

WATERSHED AREA (ha)

Values used to calculate total watershed daily precipitation. Precipitation data from each standard rain gage (see Dataset 13) is weighted according to the fraction of the watershed area nearest that gage. Total area and the year data records begin is listed below for each watershed:

WS-1 -- 11.8ha -- 1956

WS-2 -- 15.6ha -- 1957

WS-3 -- 42.4ha -- 1958

WS-4 -- 36.1ha -- 1961

WS-5 -- 21.9ha -- 1962

WS-6 -- 13.2ha -- 1963

WS-7 -- 76.4ha -- 1965

WS-8 -- 59.4ha -- 1969

WS-9 -- 76.1ha -- 1995

Bailey, Amey S, J. W Hornbeck, John L Campbell, and C. Eagar. 2003. Hydrometeorological Database For Hubbard Brook Experimental Forest: 1955-2000. USDA Forest Service, Northeastern Research Station.

Campbell, J.L., Driscoll, C.T., Eagar, C., Likens, G.E., Siccama, T.G., Johnson, C.E., Fahey, T.J., Hamburg, S.P., Holmes, R.T., Bailey, A.S., and Buso, D.C. 2007. Long-term trends from ecosystem research at the Hubbard Brook Experimental Forest. Gen. Tech. Rep. NRS-17. 41 pp.Newtown Square, PA., U.S., USDA Forest Service Northeastern Research Station.

Linsley, Jr., R.K., Kohler, M.A., and Paulhus, J.L.H. 1958. Hydrology for Engineers. McGraw- Hill Book Co., Inc.

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.

People and Organizations

Publishers:
Organization:Hubbard Brook Ecosystem Study
Address:
234 Mirror Lake Road,
North Woodstock, NH 03262 United States
Creators:
Individual: USDA Forest Service, Northern Research Station
Contacts:
Organization:Hubbard Brook Ecosystem Study
Position:Information Manager
Address:
234 Mirror Lake Road,
North Woodstock, NH 03262 United States
Email Address:
hbr-im@lternet.edu
Web Address:
https://hubbardbrook.org

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1956-01-02
End:
2019-02-05
Geographic Region:
Description:Hubbard Brook Experimental Forest
Bounding Coordinates:
Northern:  43.959Southern:  43.914
Western:  -71.8062Eastern:  -71.7022

Project

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'abbreviation' = 'mm/day'
        |     |     |        \___attribute 'id' = 'millimeterPerDay'
        |     |     |        \___attribute 'name' = 'millimeterPerDay'
        |     |     |        \___attribute 'unitType' = 'NA'
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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