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Greenness Indices From Digital Cameras Predict The Timing And Seasonal Dynamics Of Canopy-Scale Photosynthesis

by W. Stephen Chan - November 7, 2019

The proliferation of digital cameras co‐located with eddy covariance instrumentation provides new opportunities to better understand the relationship between canopy phenology and the seasonality of canopy photosynthesis. In this paper… More

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Recovering Evapotranspiration Trends From Biased CMIP5 Simulations And Sensitivity To Changing Climate Over North America

by Anonymous - July 31, 2019

Future projections of evapotranspiration (ET) are of critical importance for agricultural and freshwater management and for predicting land–atmosphere feedbacks on the climate system. However, ET from phase 5 of the… More

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Improved Spatiotemporal Representativeness And Bias Reduction Of Satellite-Based Evapotranspiration Retrievals Via Use Of In Situ Meteorology And Constrained Canopy Surface Resistance

by - March 29, 2019

Evapotranspiration (ET) is a key component of the atmospheric and terrestrial water and energy budgets. Satellite‐based vegetation index approaches have used remotely sensed vegetation and reanalysis meteorological properties with surface… More

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The Physics And Ecology Of Mining Carbon Dioxide From The Atmosphere By Ecosystems

by Dennis Baldocchi - January 15, 2019

Reforesting and managing ecosystems have been proposed as ways to mitigate global warming and offset anthropogenic carbon emissions. The intent of our opinion piece is to provide a perspective on… More

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Temporal Dynamics Of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks

by Housen Chu - October 4, 2018

Aerodynamic canopy height (ha) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface‐atmosphere coupling. However, methods to estimate ha… More

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Estimating Regional Effects Of Climate Change And Altered Land Use On Biosphere Carbon Fluxes Using Distributed Time Delay Neural Networks With Bayesian Regularized Learning

by - September 7, 2018

he ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon… More

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Using Data From Landsat, Modis, Viirs And Phenocams To Monitor The Phenology Of California Oak/Grass Savanna And Open Grassland Across Spatial Scales

by Dennis Baldocchi - November 15, 2017

tThe Mediterranean-type oak/grass savanna of California is composed of widely spaced oak trees withunderstory grasses. These savanna regions are interspersed with large areas of more open grasslands.The ability of remotely… More

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Warm spring reduced carbon cycle impact of the 2012 US summer drought

by Sebastian Wolf - October 24, 2016

The global terrestrial carbon sink offsets one-third of the world’s fossil fuel emissions, but the strength of this sink is highly sensitive to large-scale extreme events. In 2012, the contiguous… More

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