Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes
S Zhu, R Clement, J McCalmont, CA Davies… - Agricultural and Forest …, 2022 - Elsevier
Continuous time-series of CO 2, water, and energy fluxes are useful for evaluating the
impacts of climate-change and management on ecosystems. The eddy covariance (EC) …
impacts of climate-change and management on ecosystems. The eddy covariance (EC) …
Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence
As climate change progresses, urban areas are increasingly affected by water scarcity and
the urban heat island effect. Evapotranspiration (ET) is a crucial component of urban …
the urban heat island effect. Evapotranspiration (ET) is a crucial component of urban …
The Hestia fossil fuel CO2 emissions data product for the Los Angeles megacity (Hestia-LA)
High-resolution bottom-up estimation provides a detailed guide for city greenhouse gas
mitigation options, offering details that can increase the economic efficiency of emissions …
mitigation options, offering details that can increase the economic efficiency of emissions …
Can evaporation from urban impervious surfaces be ignored?
Urban evapotranspiration is an important component linking the urban hydrological cycle
and energy balance. Previous studies on urban evapotranspiration (ET) mainly focused on …
and energy balance. Previous studies on urban evapotranspiration (ET) mainly focused on …
Spatial modeling of local‐scale biogenic and anthropogenic carbon dioxide emissions in Helsinki
There is a growing need to simulate the effect of urban planning on both local climate and
greenhouse gas emissions. Here, a new urban surface carbon dioxide (CO2) flux module for …
greenhouse gas emissions. Here, a new urban surface carbon dioxide (CO2) flux module for …
Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation
X Dou, Y Yang - Science of the Total Environment, 2018 - Elsevier
With the recent availability of large amounts of data from the global flux towers across
different terrestrial ecosystems based on the eddy covariance technique, the use of data …
different terrestrial ecosystems based on the eddy covariance technique, the use of data …
Effects of inhomogeneities within the flux footprint on the interpretation of seasonal, annual, and interannual ecosystem carbon exchange
Carbon flux measurements using the eddy covariance method rely on several assumptions,
including reasonably flat terrain and homogeneous vegetation cover. An increasing number …
including reasonably flat terrain and homogeneous vegetation cover. An increasing number …
[HTML][HTML] CO2 uptake of urban vegetation in a warming Nordic city
M Havu, L Kulmala, HS Lee, O Saranko… - Urban Forestry & Urban …, 2024 - Elsevier
Many cities are committed to reducing greenhouse gas emissions, improving air quality, and
reducing air temperatures through climate actions. Maintaining or increasing carbon sinks in …
reducing air temperatures through climate actions. Maintaining or increasing carbon sinks in …
Review of the Urban Carbon Flux and Energy Balance Based on the Eddy Covariance Technique
Y Li, X Cai, M Li, Z Jiang, F Tang, S Zhang… - Aerosol and Air Quality …, 2024 - aaqr.org
In recent years, notable climate change has prompted more scholars to give more attention
to urban climate development. Recognized as the most accurate flux measurement method …
to urban climate development. Recognized as the most accurate flux measurement method …
[HTML][HTML] Uncertainty of eddy covariance flux measurements over an urban area based on two towers
L Järvi, Ü Rannik, TV Kokkonen… - Atmospheric …, 2018 - amt.copernicus.org
The eddy covariance (EC) technique is the most direct method for measuring the exchange
between the surface and the atmosphere in different ecosystems. Thus, it is commonly used …
between the surface and the atmosphere in different ecosystems. Thus, it is commonly used …