The Effect of Relative Humidity on Eddy Covariance Latent Heat Flux Measurements and its Implication for Partitioning into Transpiration and Evaporation

[1]  A. Ibrom,et al.  Options to correct local turbulent flux measurements for large-scale fluxes using an approach based on large-eddy simulation , 2021, Atmospheric Measurement Techniques.

[2]  R. Orth,et al.  Lysimeter based evaporation and condensation dynamics in a Mediterranean ecosystem , 2021 .

[3]  H. Lei,et al.  Evapotranspiration partitioning and its interannual variability over a winter wheat-summer maize rotation system in the North China Plain , 2021, Agricultural and Forest Meteorology.

[4]  P. Gentine,et al.  Water Availability Impacts on Evapotranspiration Partitioning , 2020 .

[5]  Bruno H. P. Rosado,et al.  Global transpiration data from sap flow measurements: the SAPFLUXNET database , 2020, Earth System Science Data.

[6]  P. Blanken,et al.  Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites , 2020, Global change biology.

[7]  Jonas Ardö,et al.  The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data , 2020, Scientific Data.

[8]  T. Foken,et al.  Surface-Energy-Balance Closure over Land: A Review , 2020, Boundary-Layer Meteorology.

[9]  M. Longo,et al.  Partitioning evapotranspiration with concurrent eddy covariance measurements in a mixed forest , 2020 .

[10]  B. Wilcox,et al.  Evapotranspiration partitioning in dryland ecosystems: A global meta-analysis of in situ studies , 2019, Journal of Hydrology.

[11]  Atul K. Jain,et al.  Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling , 2019, Hydrology and Earth System Sciences.

[12]  Jacob A. Nelson,et al.  Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities , 2019, Biogeosciences.

[13]  Xianfang Song,et al.  Applying stable isotopes to determine seasonal variability in evapotranspiration partitioning of winter wheat for optimizing agricultural management practices. , 2019, The Science of the total environment.

[14]  Gaofeng Zhu,et al.  Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification , 2019, Water Resources Research.

[15]  C. Zheng,et al.  A simple and objective method to partition evapotranspiration into transpiration and evaporation at eddy-covariance sites , 2019, Agricultural and Forest Meteorology.

[16]  M. Mauder,et al.  A semi-empirical model of the energy balance closure in the surface layer , 2018, PloS one.

[17]  Martin Jung,et al.  The FLUXCOM ensemble of global land-atmosphere energy fluxes , 2018, Scientific Data.

[18]  W. Xiao,et al.  Evapotranspiration partitioning at the ecosystem scale using the stable isotope method—A review , 2018, Agricultural and Forest Meteorology.

[19]  M. Migliavacca,et al.  Coupling Water and Carbon Fluxes to Constrain Estimates of Transpiration: The TEA Algorithm , 2018, Journal of Geophysical Research: Biogeosciences.

[20]  Xin Li,et al.  Diurnal Variations of the Flux Imbalance Over Homogeneous and Heterogeneous Landscapes , 2018, Boundary-Layer Meteorology.

[21]  Lisheng Song,et al.  Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale , 2018, Journal of Geophysical Research: Atmospheres.

[22]  C. Müller,et al.  Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets , 2018, Environmental Research Letters.

[23]  Markus Reichstein,et al.  Towards physiologically meaningful water‐use efficiency estimates from eddy covariance data , 2018, Global change biology.

[24]  A. Arneth,et al.  How do leaf and ecosystem measures of water-use efficiency compare? , 2017, The New phytologist.

[25]  D. Baldocchi,et al.  A New Data Set to Keep a Sharper Eye on Land-Air Exchanges , 2017 .

[26]  Martha C. Anderson,et al.  The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources , 2017 .

[27]  Kathy Steppe,et al.  SAPFLUXNET: towards a global database of sap flow measurements. , 2016, Tree physiology.

[28]  M. Zahniser,et al.  Dynamics of canopy stomatal conductance, transpiration, and evaporation in a temperate deciduous forest, validated by carbonyl sulfide uptake , 2016 .

[29]  Tianqi Chen,et al.  XGBoost: A Scalable Tree Boosting System , 2016, KDD.

[30]  Bofu Yu,et al.  Partitioning evapotranspiration based on the concept of underlying water use efficiency , 2016 .

[31]  Yi Y. Liu,et al.  Multi-decadal trends in global terrestrial evapotranspiration and its components , 2016, Scientific Reports.

[32]  Andrej Varlagin,et al.  Rainfall interception and the coupled surface water and energy balance , 2015 .

[33]  R. Zulueta,et al.  Optimization of a gas sampling system for measuring eddy-covariance fluxes of H 2 O and CO 2 , 2015 .

[34]  Matthew F. McCabe,et al.  The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets , 2015 .

[35]  I. Mammarella,et al.  Sorption-Caused Attenuation and Delay of Water Vapor Signals in Eddy-Covariance Sampling Tubes and Filters , 2014 .

[36]  K. Oleson,et al.  Modeling stomatal conductance in the earth system: linking leaf water-use efficiency and water transport along the soil–plant–atmosphere continuum , 2014 .

[37]  T. Foken,et al.  Early-Morning Flow Transition in a Valley in Low-Mountain Terrain Under Clear-Sky Conditions , 2014, Boundary-Layer Meteorology.

[38]  Naftali Lazarovitch,et al.  A review of approaches for evapotranspiration partitioning , 2014 .

[39]  W. S. Chan,et al.  Eddy covariance measurements with a new fast-response, enclosed-path analyzer: Spectral characteristics and cross-system comparisons , 2013 .

[40]  G. Kiely,et al.  A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape-scale heterogeneity , 2013 .

[41]  Mario Minacapilli,et al.  Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard , 2013 .

[42]  G. Wohlfahrt,et al.  Can an energy balance model provide additional constraints on how to close the energy imbalance? , 2013, Agricultural and forest meteorology.

[43]  A. Ibrom,et al.  Relative humidity effects on water vapour fluxes measured with closed-path eddy-covariance systems with short sampling lines , 2012 .

[44]  T. Nakai,et al.  Ultrasonic anemometer angle of attack errors under turbulent conditions , 2012 .

[45]  William J. Massman,et al.  Reflections on the surface energy imbalance problem , 2012 .

[46]  George Burba,et al.  Calculating CO2 and H2O eddy covariance fluxes from an enclosed gas analyzer using an instantaneous mixing ratio , 2012 .

[47]  Maosheng Zhao,et al.  Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .

[48]  Paolo De Angelis,et al.  Reconciling the optimal and empirical approaches to modelling stomatal conductance , 2011 .

[49]  Georg Wohlfahrt,et al.  Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data , 2011 .

[50]  S. Seneviratne,et al.  Energy balance closure of eddy-covariance data: a multisite analysis for European FLUXNET stations. , 2010 .

[51]  T. Holmes,et al.  Global land-surface evaporation estimated from satellite-based observations , 2010 .

[52]  Üllar Rannik,et al.  Relative Humidity Effect on the High-Frequency Attenuation of Water Vapor Flux Measured by a Closed-Path Eddy Covariance System , 2009 .

[53]  B. Amiro,et al.  Measuring boreal forest evapotranspiration using the energy balance residual. , 2009 .

[54]  Georg Wohlfahrt,et al.  Open-path vs. closed-path eddy covariance measurements of the net ecosystem carbon dioxide and water vapour exchange: A long-term perspective , 2009 .

[55]  A. Ibrom,et al.  Attenuation of concentration fluctuations of water vapor and other trace gases in turbulent tube flow , 2008 .

[56]  A. Holtslag,et al.  Effect of open-path gas analyzer wetness on eddy covariance flux measurements: A proposed solution , 2008 .

[57]  T. Foken The energy balance closure problem: an overview. , 2008, Ecological applications : a publication of the Ecological Society of America.

[58]  A. Grelle,et al.  Addressing the influence of instrument surface heat exchange on the measurements of CO2 flux from open‐path gas analyzers , 2008 .

[59]  R. Desjardins,et al.  Measurement of the Sensible Eddy Heat Flux Based on Spatial Averaging of Continuous Ground-Based Observations , 2008 .

[60]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[61]  H. Flyvbjerg,et al.  Strong low-pass filtering effects on water vapour flux measurements with closed-path eddy correlation systems , 2007 .

[62]  Peter E. Thornton,et al.  The Partitioning of Evapotranspiration into Transpiration, Soil Evaporation, and Canopy Evaporation in a GCM: Impacts on Land–Atmosphere Interaction , 2007 .

[63]  R. Desjardins,et al.  Scale analysis of airborne flux measurements over heterogeneous terrain in a boreal ecosystem , 2007 .

[64]  Nicolai Meinshausen,et al.  Quantile Regression Forests , 2006, J. Mach. Learn. Res..

[65]  Natascha Kljun,et al.  Carbon, energy and water fluxes at mature and disturbed forest sites, Saskatchewan, Canada , 2006 .

[66]  M. Molen,et al.  Correction of sonic anemometer angle of attack errors , 2006 .

[67]  J. Jacobs,et al.  Energy dynamics and modeled evapotranspiration from a wet tropical forest in Costa Rica , 2005 .

[68]  T. Vesala,et al.  On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .

[69]  W. Oechel,et al.  Energy balance closure at FLUXNET sites , 2002 .

[70]  L. Breiman Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.

[71]  J. Monteith Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.