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Title: AmeriFlux US-FPe Fort Peck

This is the AmeriFlux version of the carbon flux data for the site US-FPe Fort Peck. Site Description - The Fort Peck, Montana station is located on the Fort Peck Tribes Reservation, approximately fifteen miles north of Poplar, Montana. The tower is located to the west of the SURFRAD instrumentation and was installed in November of 1999.
Authors:
 [1]
  1. NOAA/ARL
Publication Date:
Product Type:
Dataset
Research Org(s):
AmeriFlux; NOAA/ARL
Sponsoring Org:
NOAA/GEWEX
OSTI Identifier:
1246053

Meyers, Tilden. AmeriFlux US-FPe Fort Peck. United States: N. p., Web. doi:10.17190/AMF/1246053.
Meyers, Tilden. AmeriFlux US-FPe Fort Peck. United States. doi:10.17190/AMF/1246053.
Meyers, Tilden. 2016. "AmeriFlux US-FPe Fort Peck". United States. doi:10.17190/AMF/1246053. https://www.osti.gov/servlets/purl/1246053.
@misc{osti_1246053,
title = {AmeriFlux US-FPe Fort Peck},
author = {Meyers, Tilden},
abstractNote = {This is the AmeriFlux version of the carbon flux data for the site US-FPe Fort Peck. Site Description - The Fort Peck, Montana station is located on the Fort Peck Tribes Reservation, approximately fifteen miles north of Poplar, Montana. The tower is located to the west of the SURFRAD instrumentation and was installed in November of 1999.},
doi = {10.17190/AMF/1246053},
year = {2016},
month = {1} }
  1. In 2012 DOE established the AmeriFlux Management Project (AMP) at Lawrence Berkeley National Laboratory (LBNL) to support the broad AmeriFlux community and the AmeriFlux sites. AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. It was established to connect research on field sites representing major climate and ecological biomes, including tundra, grasslands, savanna, crops, and conifer, deciduous, and tropical forests. AMP collaborates with AmeriFlux scientists to ensure the quality and availability of the continuous, long-term ecosystem measurements necessary to understand these ecosystems and to build effective models and multisitemore » syntheses. « less
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