ML4WX

Observations & remote sensing

Air—Surface Exchange in CHEESEHEAD19: Food for Machine Learning To Scale Energy Fluxes

Brian Butterworth, Ankur Rashmikant Desai, Stefan Metzger, Philip A. Townsend, Mark D. Schwartz, Grant W. Petty, Matthias R. Mauder, Hannes Vogelmann, Christian G. Andresen, Travis J. Augustine, Timothy H. Bertram, William O. Brown et al.

Bulletin of the American Meteorological Society ·

PaperPDF

In one sentence. CHEESEHEAD19 land-atmosphere flux observations are presented as training data for machine learning to scale energy fluxes across heterogeneous surfaces to model grid cells.

Labels

Topic
Observations & remote sensing, Hybrid physics-ML & parameterization
Type
Position or perspective paper
Method
Other
Domain
Local / station
Data
Station / in-situ, Other
Status
Research
Identifiers
DOI:10.1175/bams-d-19-0346.a OpenAlex:W4387919988
Added
2026-10-22

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