The magnitudes and timescales of global mean surface temperature feedbacks in climate models [PDF]
, 2011 Because of the fundamental role feedbacks play in determining the response of surface temperature to perturbations in radiative forcing, it is important we understand the dynamic characteristics of these feedbacks.
Jarvis, Andrew
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Quantifying climate feedbacks using radiative kernels [PDF]
The extent to which the climate will change due to an external forcing depends largely on radiative feedbacks, which act to amplify or damp the surface temperature response.
Shields, Christine A. +5 more
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A cloud feedback emulator (CFE, version 1.0) for an intermediate complexity model [PDF]
Geoscientific Model Development, 2017 The dominant source of inter-model differences in comprehensive global climate models (GCMs) are cloud radiative effects on Earth's energy budget. Intermediate complexity models, while able to run more efficiently, often lack cloud feedbacks.
D. J. Ullman, A. Schmittner
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Radiative feedbacks in CAM6 PPE
, 2022 Radiative feedbacks in a CAM6 perturbed parameter ensemble (PPE) are calculated using radiative kernels. Feedbacks are calculated as the difference between a control 'PD' simulation and a simulation with an imposed uniform 4K SST warming 'SST4K.' The PPE
Duffy, Margaret L.
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Radiative sensitivity quantified by a new set of radiation flux kernels based on the ECMWF Reanalysis v5 (ERA5) [PDF]
Earth System Science Data, 2023 Radiative sensitivity, i.e., the response of the radiative flux to climate perturbations, is essential to understanding climate change and variability. The sensitivity kernels computed by radiative transfer models have been broadly used for assessing the
H. Huang, Y. Huang
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Atmosphere, 2020 Using the two-box energy balance model (EBM), we explore the climate system response to radiative forcing generated by variations in the concentrations of stratospheric aerosols and estimate the effect of uncertainties in radiative feedbacks on changes ...
Sergei Soldatenko
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Strong carbon cycle feedbacks in a climate model with interactive CO2 and sulphate aerosols [PDF]
, 2003 Carbon cycle feedbacks are a significant source of uncertainty in climate change projections, with the potential for strong positive feedbacks to accelerate the rate of anthropogenic global warming during the 21st century.
Woodage, M. J. +3 more
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Evaluating the representation of aerosol optical properties using an online coupled model over the Iberian Peninsula [PDF]
Atmospheric Chemistry and Physics, 2017 The effects of atmospheric aerosol particles on the Earth's climate mainly depend on their optical, microphysical and chemical properties, which modify the Earth's radiative budget. The aerosol radiative effects can be divided into direct and semi-direct
L. Palacios-Peña +5 more
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Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study [PDF]
Atmospheric Chemistry and Physics, 2023 Aerosol–cloud interaction (ACI) in fog and planetary boundary layer (PBL) conditions plays critical roles in the fog life cycle. However, it is not clear how ACI in the first fog (Fog1) affects the PBL and subsequently affects ACI in the second fog (Fog2)
N. Shao +13 more
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ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks [PDF]
Geoscientific Model DevelopmentClimate feedbacks are a significant source of uncertainty in future climate projections and need to be quantified accurately and robustly. The radiative kernel method is commonly used to efficiently compute individual climate feedbacks from climate model
T. P. Janoski +10 more
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