Micrometeorology Overview

Principles

Definition

Micrometeorology is a subfield of meteorology that investigates atmospheric processes and surface-atmosphere interactions occurring at small spatial and temporal scales, typically within the atmospheric boundary layer, focusing on turbulent transport of energy, mass, and momentum, and the formation of local microclimates.

Ontological type

Core Processes

Observation Techniques

Modeling Approaches

Key developments

Key Figures

Surface-Layer Scaling era

J. C. Wyngaard [1] was a leading figure in micrometeorology during the surface-layer scaling era, with affiliations to the University of Washington [2] and the University of Colorado Boulder [3]. His Flux-Profile Relationships in the Atmospheric Surface Layer [4] codified how heat, momentum, and scalars exchange relate to mean profiles, a key advance for applying Monin-Obukhov similarity in near-surface turbulence. He also advanced the spectral perspective through Spectral characteristics of surface-layer turbulence [5], providing empirical and theoretical foundations for spectral analyses and turbulence budgets that underpinned observations in this era. These contributions anchored the tools of flux–profile and spectral analyses that defined surface-layer scaling through 1959–1978.

Flux Standardization and Coupling era

E. J. Mlawer[1] of Brandeis University[3] was an active contributor during the Flux Standardization and Coupling era. A key contribution is Radiative transfer for inhomogeneous atmospheres: RRTM[4], a validated correlated‑k model for the longwave, which provided efficient and physically based longwave radiation calculations underpinning standardized flux representations across boundary-layer and climate models. S. A. Clough[2] contributed as a co-author of Radiative transfer for inhomogeneous atmospheres: RRTM[4], extending its development and validation. This collaboration strengthened the era's standardized flux framework by anchoring the longwave radiative transfer scheme, RRTM[4], as a robust, model-ready component across sites.

Networked Multiscale Integration era

Ariel Stein [1] emerges as a key micrometeorology figure in the Networked Multiscale Integration era, with affiliations at the Gwangju Institute of Science and Technology [3] and Pennsylvania State University [4]. Her notable contribution in this era centers on NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System [7], a widely used tool for tracking and predicting pollutant transport across scales, which underpinned standardized model evaluation and cross-site syntheses. Roland R. Draxler [2] is a leading figure connected with the University of Utah [5] and Texas A&M University [6], whose work within this era reflects core developments in continental-to-global transport modeling anchored by the HYSPLIT system [7]. These contributions were pivotal for Networked Multiscale Integration because HYSPLIT enabled reproducible transport simulations and open benchmarks that supported data fusion, model evaluation, and policy-relevant assessments across urban and regional scales [7].