Results 221 to 230 of about 327,544 (281)
Achieve Medium‐Range SST Forecast by Rolling 1‐Day Deep Learning
Abstract Deep learning has revolutionized short‐term Sea Surface Temperature (SST) forecasting, but often struggles with cumulative error propagation and operational complexity in medium‐range predictions. To achieve lightweight and temporally continuous SST forecast, this study introduces two novel training strategies, Rolling Training and Multistep ...
Nanxiang Huang +3 more
wiley +1 more source
Intercomparison of sensible and latent heat flux measurements from combined eddy covariance, energy balance, and Bowen ratio methods above a grassland prairie. [PDF]
Billesbach DP +2 more
europepmc +1 more source
Abstract Terrestrial ecosystem regulation of carbon and water fluxes is critical for constraining climate–biosphere feedbacks but remains poorly quantified across space and time. Here, we evaluate whether co‐located observations from NASA's Orbiting Carbon Observatory‐3 (OCO‐3) and the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station
Zoe Amie Pierrat +9 more
wiley +1 more source
Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015. [PDF]
Fang J +6 more
europepmc +1 more source
Abstract Boundary layer turbulence and vertical mixing exert great control over the structure and evolution of tropical cyclones (TCs). However, scaling and parameterizing them remains challenging due to their inherent complexity and limited observations.
Junyi He +6 more
wiley +1 more source
Abstract Wildfires alter local atmospheric conditions, yet the spatial extent and frequency‐dependent characteristics of fire‐induced inflow perturbations remain largely unquantified. This study applies Multivariate Empirical Mode Decomposition (MEMD) to analyze high‐frequency horizontal wind speed data from a tower positioned at varying distances (∼80–
Gitesh Wasson +7 more
wiley +1 more source
Assessment of spongy moth infestation impacts on forest productivity and carbon loss using the Sentinel-2 satellite remote sensing and eddy covariance flux data. [PDF]
Hussain N, Gonsamo A, Wang S, Arain MA.
europepmc +1 more source
Stochastic Condensation With Information Flow for Causality Analysis
Abstract Water vapor concentration in turbulent clouds fluctuates over a wide range of scales, challenging physical understanding of droplet growth mechanisms, prediction of droplet size distributions, and attribution of causal connections. We generalize a minimalist Brownian‐motion model (McGraw & Liu, 2006, https://doi.org/10.1029/2005gl023545 ...
Yaohui Shu +4 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]
González-Herrero S +6 more
europepmc +1 more source
Abstract The Clumping Index (CI) critically regulates canopy radiation, yet its role in reshaping global heat fluxes under land‐atmosphere (L‐A) interactions remains poorly quantified. We integrated satellite‐derived CI into the Community Earth System Model (CESM) to assess its impacts through L‐A coupled simulations.
Zhicheng Huang +5 more
wiley +1 more source

