Results 221 to 230 of about 53,109 (325)

Eddy covariance CO2 air-sea fluxes under variable surfactant conditions in the Baltic Sea

open access: gold
Leonie Scheidereit   +9 more
openalex   +1 more source

Tracking Water Dynamics of a Temperate Forest Under Drought and Non‐Drought Conditions Using Active and Passive Microwave and Optical Remote Sensing

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Water status, water dynamics, and ecohydrological resilience of a protected German beech forest during the 2018–2020 multi‐year drought are assessed using over six years of multi‐frequency remote sensing data, integrating active, passive, and optical sensors with varying canopy penetration depths, highlighting the importance of monitoring ...
Florian M. Hellwig   +10 more
wiley   +1 more source

Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. [PDF]

open access: yesBoundary Layer Meteorol
González-Herrero S   +6 more
europepmc   +1 more source

Ecosystem‐Scale Methane Emissions From Peatlands of the Hudson Bay Lowlands

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Northern peatlands are important sources of methane (CH4) in the atmosphere. However, the magnitude of CH4 emissions and their response to environmental factors are poorly constrained within the Hudson Bay Lowlands (HBL), the largest contiguous peatland complex in North America. This study investigated seasonal (April–November) eddy covariance‐
A. Bieniada, E. R. Humphreys
wiley   +1 more source

Long term flux measurements of carbon dioxide and methane over a small boreal lake using eddy covariance technique

open access: gold
Ivan Mammarella   +10 more
openalex   +1 more source

Eddy covariance measurements of nitric oxide flux within an Amazonian rain forest [PDF]

open access: bronze, 2002
U. Rummel   +4 more
openalex   +1 more source

A Hybrid Biophysical‐Machine Learning Framework for Diurnal Surface Energy Flux Estimation Using Proximal Sensing

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Thermal infrared‐based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics‐based analytical surface energy balance model for predicting latent energy (LE) and sensible heat (H) fluxes using proximal ...
James F. Cross   +4 more
wiley   +1 more source

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