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