Basic and extensible post-processing of eddy covariance flux data with REddyProc
With the eddy covariance (EC) technique, net fluxes of carbon dioxide (CO 2) and other
trace gases as well as water and energy fluxes can be measured at the ecosystem level …
trace gases as well as water and energy fluxes can be measured at the ecosystem level …
A process approach to quality management doubles NEON sensor data quality
C Sturtevant, E DeRego, S Metzger… - Methods in Ecology …, 2022 - Wiley Online Library
A quality management system is critical for ensuring that the data and services provided by
an organization meet the needs of its mission. With a mission to collect long‐term open …
an organization meet the needs of its mission. With a mission to collect long‐term open …
Measurements of traffic-dominated pollutant emissions in a Chinese megacity
Direct measurements of NO x, CO and aromatic volatile organic compound (VOC)(benzene,
toluene, C 2-benzenes and C 3-benzenes) flux were made for a central area of Beijing using …
toluene, C 2-benzenes and C 3-benzenes) flux were made for a central area of Beijing using …
Surface–atmosphere fluxes of volatile organic compounds in Beijing
WJF Acton, Z Huang, B Davison… - Atmospheric …, 2020 - acp.copernicus.org
Mixing ratios of volatile organic compounds (VOCs) were recorded in two field campaigns in
central Beijing as part of the Air Pollution and Human Health in a Chinese Megacity (APHH) …
central Beijing as part of the Air Pollution and Human Health in a Chinese Megacity (APHH) …
Generating spatially robust carbon budgets from flux tower observations
Estimating global terrestrial productivity is typically achieved by rescaling individual flux
tower measurements, traditionally assumed to represent homogeneous areas, using …
tower measurements, traditionally assumed to represent homogeneous areas, using …
Can data mining help eddy covariance see the landscape? A large-eddy simulation study
Eddy-covariance fluxes serve as an essential benchmark for Earth system models and
remote sensing data. However, two challenges prevent model-data intercomparisons from …
remote sensing data. However, two challenges prevent model-data intercomparisons from …
[HTML][HTML] A robust data cleaning procedure for eddy covariance flux measurements
The sources of systematic error responsible for introducing significant biases in the eddy
covariance (EC) flux computation are manifold, and their correct identification is made …
covariance (EC) flux computation are manifold, and their correct identification is made …
The eddy-covariance storage term in air: Consistent community resources improve flux measurement reliability
KE Xu, N Pingintha-Durden, H Luo, D Durden… - Agricultural and Forest …, 2019 - Elsevier
In the widely-used eddy-covariance (EC) technique, it is often assumed that the air storage
term, ie the change of below-turbulence-sensor scalar abundance, is negligible or …
term, ie the change of below-turbulence-sensor scalar abundance, is negligible or …
[HTML][HTML] Observational partitioning of water and CO2 fluxes at National Ecological Observatory Network (NEON) sites: a 5-year dataset of soil and plant components …
E Zahn, E Bou-Zeid - Earth System Science Data, 2024 - essd.copernicus.org
Long-term time series of transpiration, evaporation, plant net photosynthesis, and soil
respiration are essential for addressing numerous research questions related to ecosystem …
respiration are essential for addressing numerous research questions related to ecosystem …
Partitioning of water and CO2 fluxes at NEON sites into soil and plant components: a five-year dataset for spatial and temporal analysis
E Zahn, E Bou-Zeid - Earth System Science Data Discussions, 2024 - essd.copernicus.org
Long-term time series of transpiration, evaporation, plant photosynthesis, and soil
respiration are essential for addressing numerous research questions related to ecosystem …
respiration are essential for addressing numerous research questions related to ecosystem …