AmeriFlux US-Kon Konza Prairie LTER (KNZ)

doi:10.17190/AMF/1246068

Title: AmeriFlux US-Kon Konza Prairie LTER (KNZ)

Abstract

This is the AmeriFlux version of the carbon flux data for the site US-Kon Konza Prairie LTER (KNZ).

Creator(s)/Author(s):: Brunsell, Nathaniel

Publication Date:: 2016-01-01

Product Type:: Dataset

Research Org.:: AmeriFlux; Kansas University

Sponsoring Org.:: National Science Foundation (NSF)

OSTI Identifier:: 1246068

DOI:: 10.17190/AMF/1246068

Citation Formats


                    Brunsell, Nathaniel. AmeriFlux US-Kon Konza Prairie LTER (KNZ).  United States: N. p., 2016. 
        Web.  doi:10.17190/AMF/1246068.

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                    Brunsell, Nathaniel. AmeriFlux US-Kon Konza Prairie LTER (KNZ).  United States.  doi:10.17190/AMF/1246068.

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                    Brunsell, Nathaniel. 2016.  
"AmeriFlux US-Kon Konza Prairie LTER (KNZ)".  United States.  doi:10.17190/AMF/1246068.  https://www.osti.gov/servlets/purl/1246068. Pub date:Fri Jan 01 00:00:00 EST 2016

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@article{osti_1246068,

  title        = {AmeriFlux US-Kon Konza Prairie LTER (KNZ)},

  author       = {Brunsell, Nathaniel},

  abstractNote = {This is the AmeriFlux version of the carbon flux data for the site US-Kon Konza Prairie LTER (KNZ).},

  doi          = {10.17190/AMF/1246068},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2016},

  month        = {1}

}

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Dataset:

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DOI: 10.17190/AMF/1246068

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AmeriFlux Management Project

Torn, Margaret

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 »

Works referencing / citing this record:

Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates
journal, January 2017

Alfieri, Joseph G.; Anderson, Martha C.; Kustas, William P.
Hydrology and Earth System Sciences, Vol. 21, Issue 1, p. 83-98
DOI: 10.5194/hess-21-83-2017

Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates
journal, January 2017

Alfieri, Joseph G.; Anderson, Martha C.; Kustas, William P.
Hydrology and Earth System Sciences, Vol. 21, Issue 1, p. 83-98
DOI: 10.5194/hess-21-83-2017

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This is the AmeriFlux version of the carbon flux data for the site US-xKZ NEON Konza Prairie Biological Station (KONZ).
AmeriFlux US-xKA NEON Konza Prairie Biological Station - Relocatable (KONA)

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Similar Records

Research Org:	Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); UC Berkeley, Berkeley, CA (United States); Univ. of Virginia, Charlottesville, VA (United States)
Sponsoring Org:	USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)

Title: AmeriFlux US-Kon Konza Prairie LTER (KNZ)

Abstract

Citation Formats

Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates journal, January 2017

Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates journal, January 2017

Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates
journal, January 2017

Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates
journal, January 2017