Publications by authors named "A Kirkevag"
Article Synopsis
- Biomass burning (BB) emits aerosols that significantly influence climate factors like radiation balance and cloudiness in tropical areas, but there's a lot of uncertainty in assessments due to reliance on global models.
- By using observations from both satellite and ground sources, researchers constrained the aerosol absorption optical depth (AAOD) specifically in the Amazon and Africa, identifying major error sources for each region.
- The study found that correcting these errors can reduce differences in aerosol radiative effects among models by threefold, suggesting a stronger potential for improving the understanding of radiative forcing from biomass burning aerosols.
Biomass burning (BB) is a major source of aerosols that remain the most uncertain components of the global radiative forcing. Current global models have great difficulty matching observed aerosol optical depth (AOD) over BB regions. A common solution to address modelled AOD biases is scaling BB emissions.
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- The data descriptor covers key scientific insights from General Circulation Models (GCMs) used in the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), focusing on climate responses to changes in greenhouse gases, aerosols, and solar radiation.
- It provides global and annual mean results from a wide range of coupled atmospheric-ocean GCM simulations, emphasizing the importance of single idealized perturbations to understand climate behavior better.
- The dataset is designed to be user-friendly, offering an accessible way to extract files, and is expected to support research on complex GCMs and Earth System Models in the Coupled Model Intercomparison Project.
Quantifying the efficacy of different climate forcings is important for understanding the real-world climate sensitivity. This study presents a systematic multimodel analysis of different climate driver efficacies using simulations from the Precipitation Driver and Response Model Intercomparison Project (PDRMIP). Efficacies calculated from instantaneous radiative forcing deviate considerably from unity across forcing agents and models.
View Article and Find Full Text PDFA total of 16 global chemistry transport models and general circulation models have participated in this study; 14 models have been evaluated with regard to their ability to reproduce the near-surface observed number concentration of aerosol particles and cloud condensation nuclei (CCN), as well as derived cloud droplet number concentration (CDNC). Model results for the period 2011-2015 are compared with aerosol measurements (aerosol particle number, CCN and aerosol particle composition in the submicron fraction) from nine surface stations located in Europe and Japan. The evaluation focuses on the ability of models to simulate the average across time state in diverse environments and on the seasonal and short-term variability in the aerosol properties.
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