Satellite-based evaluation of AeroCom model bias in biomass burning regions
Qirui Zhong,Nick Schutgens,Guido van der Werf,Twan van Noije,Kostas Tsigaridis,Susanne E. Bauer,Tero Mielonen,Alf Kirkevåg,Øyvind Seland,Harri Kokkola,Ramiro Checa-Garcia,David Neubauer,Zak Kipling,Hitoshi Matsui,Paul Ginoux,Toshihiko Takemura,Philippe Le Sager,Samuel Rémy,Huisheng Bian,Mian Chin,Kai Zhang,Jialei Zhu,Svetlana G. Tsyro,Gabriele Curci,Anna Protonotariou,Ben Johnson,Joyce E. Penner,Nicolas Bellouin,Ragnhild B. Skeie,and Gunnar Myhre
Aerosol optical depth (AOD) errors for biomass burning aerosol (BBA) are evaluated in 18 global models against satellite datasets. Notwithstanding biases in satellite products, they allow model evaluations. We observe large and diverse model biases due to errors in BBA. Further interpretations of AOD diversities suggest large biases exist in key processes for BBA which require better constraining. These results can contribute to further model improvement and development.
Aerosol optical depth (AOD) errors for biomass burning aerosol (BBA) are evaluated in 18 global...