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 …

Time series of wetland methane fluxes measured by eddy covariance require gap-filling to
estimate daily, seasonal, and annual emissions. Gap-filling methane fluxes is challenging …

A Bayesian dynamic linear model (BDLM) framework for data modeling and forecasting is
proposed to evaluate the performance of an operational cable-stayed bridge, that is, Ting …

Abstract The Tibetan Plateau is the highest and largest plateau in the world, hosting unique
alpine grassland and having a much higher snow cover than any other region at the same …

The errors and uncertainties associated with gap-filling algorithms of water, carbon, and
energy fluxes data have always been one of the main challenges of the global network of …

This paper proposes an improved most likely heteroscedastic Gaussian process (MLHGP)
algorithm to handle a kind of nonlinear regression problems involving input-dependent …

This study reports on three years (2018–2020) of turbulent CO 2 fluxes measured at 144 m
above the city of Vienna, Austria using an eddy covariance system installed on the A1 …

Approximating the complex nonlinear relationships that dominate the exchange of carbon
dioxide fluxes between the biosphere and atmosphere is fundamentally important for …

With novel developments in technology, eddy covariance flux measurements have become
feasible for a variety of trace gases. While the statistical properties and gap-filling strategies …

Gap-filling eddy covariance flux data using quantitative approaches has increased over the
past decade. Numerous methods have been proposed previously, including look-up table …