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Empirical constraints on the fraction of surface latent heat flux reaching the top of atmosphere as net radiative cooling

Empirical constraints on the fraction of surface latent heat flux reaching the top of atmosphere as net radiative cooling

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Authors

Ali Bin Shahid 

Abstract

The transfer fraction η, defined as the ratio of net cloud radiative effect at the top of atmosphere to surface latent heat flux (η = |CRE_net| / LE), is a fundamental coupling parameter linking surface hydrology to TOA radiation. Despite its relevance to cloud feedback and biophysical forcing, η has not been directly constrained by co-located observations at the spatial scales relevant to climate forcing. This study co-locates 341 FLUXNET eddy covariance surface flux sites (FluxDataKit-v3 pooled with JapanFlux2024) with CERES EBAF Ed4.2 TOA radiation retrievals, and extends the analysis to basin scale for the Amazon, Congo, and SE Asian tropical forest regions. A three-stream decomposition of the surface energy budget is presented, together with a geometric upper bound on η in deep convective regimes. At site level, the global median η is 31.6% [95% CI: 28.3 to 35.8%], with a tropical evergreen broadleaf forest median of 14.7% across twelve sites on five continents (range 5.6 to 31.0% excluding the subtropical-monsoon outlier CN-Din). At basin scale, the Amazon transfer fraction is 20.8% (CRE_net = -19.8 W/m^2, LE = 95.1 W/m^2), with a recycling amplification factor of 1.62x relative to the site-level value; Congo (1.63x) and SE Asia (1.57x) show comparable amplification. The cloud longwave radiative effect scales with convective available potential energy (CAPE) at R^2 = 0.74. The constrained η supports two applications: a diagnostic for cloud feedback in atmospheric models, and an observational TOA counterpart to surface biophysical forcing estimates from land-cover-change studies. These results provide the first dedicated, scale-stratified observational constraint on η at site and basin scales.

DOI

https://doi.org/10.31223/X5C77W

Subjects

Atmospheric Sciences, Climate, Hydrology

Keywords

transfer fraction, cloud radiative effect, CERES EBAF, FLUXNET, JapanFlux2024, biophysical forcing, moisture recycling, tropical forests, Amazon, Congo, Southeast Asia

Dates

Published: 2026-06-04 08:48

Last Updated: 2026-06-05 03:45

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
The author declares no competing interests. This research was supported by Stichting Climate Cleanup (Netherlands); the funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Data Availability:
All data used in this study are openly available from the sources cited in the manuscript: FluxDataKit-v3 (Zenodo 10.5281/zenodo.10885933), JapanFlux2024 (Arctic Data Archive System), CERES EBAF Ed4.2 (NASA LaRC CERES), ERA5 reanalysis (Copernicus CDS), and MODIS MCD12C1 (NASA LP DAAC). The analysis pipeline, figure-build scripts, and all intermediate result tables are archived at Zenodo (concept DOI 10.5281/zenodo.20539525, always resolves to latest; v1.0.0 at 10.5281/zenodo.20539526) with the corresponding GitHub repository at https://github.com/R3GENESI5/shahid-2026-transfer-fraction. No new primary observations were collected for this study.

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