| Literature DB >> 32818126 |
Brigitte Koffi1, Michael Schulz2, François-Marie Bréon3, Frank Dentener1, Birthe Marie Steensen2, Jan Griesfeller2, David Winker4, Yves Balkanski3, Susanne E Bauer5,6, Nicolas Bellouin7, Terje Berntsen8,9, Huisheng Bian10,11, Mian Chin10, Thomas Diehl1, Richard Easter12, Steven Ghan12, Didier A Hauglustaine3, Trond Iversen2,8, Alf Kirkevåg2, Xiaohong Liu12,13, Ulrike Lohmann14, Gunnar Myhre9, Phil Rasch10, Øyvind Seland2, Ragnhild B Skeie9, Stephen D Steenrod10, Philip Stier15, Jason Tackett16, Toshihiko Takemura17, Kostas Tsigaridis5,6, Maria Raffaella Vuolo3,18, Jinho Yoon12,19, Kai Zhang12,20.
Abstract
The ability of 11 models in simulating the aerosol vertical distribution from regional to global scales, as part of the second phase of the AeroCom model intercomparison initiative (AeroCom II), is assessed and compared to results of the first phase. The evaluation is performed using a global monthly gridded data set of aerosol extinction profiles built for this purpose from the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) Layer Product 3.01. Results over 12 subcontinental regions show that five models improved, whereas three degraded in reproducing the interregional variability in Z α0-6 km, the mean extinction height diagnostic, as computed from the CALIOP aerosol profiles over the 0-6 km altitude range for each studied region and season. While the models' performance remains highly variable, the simulation of the timing of the Z α0-6 km peak season has also improved for all but two models from AeroCom Phase I to Phase II. The biases in Z α0-6 km are smaller in all regions except Central Atlantic, East Asia, and North and South Africa. Most of the models now underestimate Z α0-6 km over land, notably in the dust and biomass burning regions in Asia and Africa. At global scale, the AeroCom II models better reproduce the Z α0-6 km latitudinal variability over ocean than over land. Hypotheses for the performance and evolution of the individual models and for the intermodel diversity are discussed. We also provide an analysis of the CALIOP limitations and uncertainties contributing to the differences between the simulations and observations.Entities:
Year: 2016 PMID: 32818126 PMCID: PMC7430518 DOI: 10.1002/2015JD024639
Source DB: PubMed Journal: J Geophys Res Atmos ISSN: 2169-897X Impact factor: 4.261