Uncertainty in Aerosol Optical Depth From Modern Aerosol-Climate Models, Reanalyses, and Satellite Products
This page lists all metadata that was entered for this dataset. You can download the dataset.
Feature
Citation
Citation Options
Identification
Title: | Main Title: Uncertainty in Aerosol Optical Depth From Modern Aerosol-Climate Models, Reanalyses, and Satellite Products |
Description: | Abstract: Despite the implication of aerosols for the radiation budget, there are persistent differences in data for the aerosol optical depth (τ) for 1998–2019. This study presents a comprehensive evaluation of the large-scale spatio-temporal patterns of mid-visible τ from modern data sets. In total, we assessed 94 different global data sets from eight satellite retrievals, four aerosol-climate model ensembles, one operational ensemble product, two reanalyses, one climatology and one merged satellite product. We include the new satellite data SLSTR and aerosol-climate simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and the Aerosol Comparisons between Observations and Models Phase 3 (AeroCom-III). Our intercomparison highlights model differences and observational uncertainty. Spatial mean τ for 60°N – 60°S ranges from 0.124 to 0.164 for individual satellites, with a mean of 0.14. Averaged τ from aerosol-climate model ensembles fall within this satellite range, but individual models do not. Our assessment suggests no systematic improvement compared to CMIP5 and AeroCom-I. Although some regional biases have been reduced, τ from both CMIP6 and AeroCom-III are for instance substantially larger along extra-tropical storm tracks compared to the satellite products. The considerable uncertainty in observed τ implies that a model evaluation based on a single satellite product might draw biased conclusions. This underlines the need for continued efforts to improve both model and satellite estimates of τ, for example, through measurement campaigns in areas of particularly uncertain satellite estimates identified in this study, to facilitate a better understanding of aerosol effects in the Earth system. |
Identifier: | https://doi.org/10.1029/2021JD035483 (DOI) |
Citation Advice: | Vogel, A., Alessa, G., Scheele, R., Weber, L., Dubovik, O., North, P., & Fiedler, S. (2022). Uncertainty in aerosol optical depth from modern aerosol-climate models, reanalyses, and satellite products. Journal of Geophysical Research: Atmospheres, 127, e2021JD035483. https://doi.org/10.1029/2021JD035483 |
Responsible Party
Creators: | Annika Vogel (Author), Ghazi Alessa (Author), Robert Scheele (Author), Lisa Weber (Author), Oleg Dubovik (Author), Peter North (Author), Stephanie Fiedler (Author) |
Publisher: | JGR Atmospheres |
Publication Year: | 2022 |
Topic
CRC1211 Topic: | Climate |
Related Subproject: | A3 |
Subjects: | Keywords: Meteorology, Climate Models |
Geogr. Information Topic: | Climatology/Meteorology/Atmosphere |
File Details
Filename: | JGRAtmospheres2022Vogel.pdf |
Data Type: | Text - Paper |
File Size: | 3.3 MB |
Date: | Issued: 18.01.2022 |
Mime Type: | application/pdf |
Data Format: | |
Language: | English |
Status: | Completed |
Constraints
Download Permission: | Free |
Download Information: | https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JD035483 |
Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Specific Information - Publication
Publication Status: | In Print |
Review Status: | Peer reviewed |
Publication Type: | Article |
Article Type: | Journal |
Source: | Journal of Geophysical Research: Atmospheres |
Source Website: | https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JD035483 |
Issue: | 2 |
Volume: | 127 |
Number of Pages: | 27 (1 - 27) |
Metadata Details
Metadata Creator: | Rovina Pinto |
Metadata Created: | 19.01.2022 |
Metadata Last Updated: | 12.04.2022 |
Subproject: | A3 |
Funding Phase: | 2 |
Metadata Language: | English |
Metadata Version: | V50 |
Metadata Export
Metadata Schema: |
Dataset Statistics
Page Visits: | 196 |
Metadata Downloads: | 0 |
Dataset Downloads: | 4 |
Dataset Activity
Feature
By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) and CRC1211DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.