Advancing cross‐disciplinary understanding of land‐atmosphere interactions

ER Beamesderfer, C Buechner, C Faiola… - Journal of …, 2022 - Wiley Online Library
The evolution of disciplinary silos and increasingly narrow disciplinary boundaries have
together resulted in one‐sided approaches to the study of land‐atmosphere interactions—a …

Estimation of the surface fluxes for heat and momentum in unstable conditions with machine learning and similarity approaches for the LAFE data set

V Wulfmeyer, JMV Pineda, S Otte, M Karlbauer… - Boundary-Layer …, 2023 - Springer
Measurements of three flux towers operated during the land atmosphere feedback
experiment (LAFE) are used to investigate relationships between surface fluxes and …

The mean wind and potential temperature flux profiles in convective boundary layers

L Liu, SN Gadde, RJAM Stevens - Journal of the Atmospheric …, 2023 - journals.ametsoc.org
We develop innovative analytical expressions for the mean wind and potential temperature
flux profiles in convective boundary layers (CBLs). CBLs are frequently observed during …

Deep learning for subgrid‐scale turbulence modeling in large‐eddy simulations of the convective atmospheric boundary layer

Y Cheng, MG Giometto, P Kauffmann… - Journal of Advances …, 2022 - Wiley Online Library
In large‐eddy simulations, subgrid‐scale (SGS) processes are parameterized as a function
of filtered grid‐scale variables. First‐order, algebraic SGS models are based on the eddy …

On the Application of an Observations‐Based Machine Learning Parameterization of Surface Layer Fluxes Within an Atmospheric Large‐Eddy Simulation Model

D Muñoz‐Esparza, C Becker, JA Sauer… - Journal of …, 2022 - Wiley Online Library
Recently, machine learning techniques have been employed to develop improved models
for predicting surface‐layer fluxes of momentum, heat and moisture based on field …

Backward-Eulerian footprint modelling based on the adjoint equation for atmospheric and urban-terrain dispersion

H Jia, H Kikumoto - Boundary-Layer Meteorology, 2023 - Springer
This study developed a backward-Eulerian footprint modelling method based on an adjoint
equation for atmospheric boundary-layer flows. In the proposed method, the concentration …

A Surface Flux Estimation Scheme Accounting for Large‐Eddy Effects for Land Surface Modeling

S Liu, X Zeng, Y Dai, H Yuan, N Wei… - Geophysical …, 2022 - Wiley Online Library
We propose a surface flux estimation formula to account for large eddy effects by keeping
the boundary layer depth the only added parameter. We develop a novel way to evaluate …

Constant stress layer characteristics in simulated stratified air flows: Implications for aeolian transport

LF Meldau, B Li, CMK Neuman, JR Cooper - Aeolian Research, 2023 - Elsevier
Varying thermal atmospheric stability conditions and their effects on shearing flows has long
been a subject of interest for researchers working in atmospheric science. The development …

Scale‐Dependent Estimability of Turbulent Flux in the Unstable Surface Layer for Land Surface Modeling

S Liu, X Zeng, Y Dai, H Yuan, N Wei… - Journal of Advances …, 2023 - Wiley Online Library
Surface flux estimation is essential to land surface modeling in earth system models. In
practice, parameterizations of surface turbulent fluxes are almost all based on the similarity …

Varying partitioning of surface turbulent fluxes regulates temperature‐humidity dissimilarity in the convective atmospheric boundary layer

C Liu, H Liu, J Huang, H Xiao - Geophysical Research Letters, 2021 - Wiley Online Library
Experimental evidence shows that temperature‐humidity () similarity in the atmospheric
surface layer (ASL) is reduced as Bowen ratio () increases over land. However, underlying …