This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1029/2020GL087576. This is version 2 of this Preprint.
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Abstract
Changes in the atmospheric composition alter the magnitude and partitioning between the downward propagating solar and atmospheric longwave radiative fluxes heating the Earths surface. These changes are computed by radiative transfer codes in Global Climate Models and measured with high precision at surface observation networks. Changes in radiative heating signify changes in the global surface temperature and hydrologic cycle. Here, we develop a conceptual framework using an Energy Balance Model to show that first‐order changes in the hydrologic cycle are mainly associated with changes in solar radiation, while those in surface temperature are mainly associated with changes in atmospheric longwave radiation. These insights are used to explain a range of phenomena including observed historical trends, biases in climate model output, and the intermodel spread in climate change projections. These results may help identify biases in future generations of climate models.
DOI
https://doi.org/10.31223/osf.io/3bgqz
Subjects
Climate, Earth Sciences, Environmental Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Physics
Keywords
Precipitation, Climate change projections, Convective flux, Energy balance model, GCM biases, hydrologic cycle, Latent heat flux, Model spread, Radiative-convective equilibrium, Radiative transfer, Surface energy balance, Surface radiative heating, Surface temperature, Turbulent fluxes
Dates
Published: 2020-04-30 14:08
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