Prognostic Emissions in GEOS

Darmenov, Anton ; Govindaraju, Ravi ; Raman, Aishwarya ; Buchard-Marchant, Virginie ; Colarco, Peter ; da Silva, Arlindo ; Liu, Xaiohong ; Prigent, Catherine ; Chen, Shuyi ; Curcic, Milan

关键词: AEROSOLS;    ATMOSPHERIC CHEMISTRY;    ATMOSPHERIC MODELS;    GOES SATELLITES;    MATHEMATICAL MODELS;    SEA STATES;    SOIL EROSION;    TRACE ELEMENTS;    WIND EFFECTS;    ATMOSPHERIC COMPOSITION;    BIOMASS BURNING;    EARTH SCIENCES;    MARINE METEOROLOGY;    SEDIMENT TRANSPORT;    STOCHASTIC PROCESSES;   

RP-ID  :  GSFC-E-DAA-TN57575

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

Prognostic emissions enable seamless applications of atmospheric chemistry and aerosol models across scales. Prognostic emissions also facilitate direct and higher order interactions and feedbacks between components in an integrated modeling system and thus enhance the model representativeness. On the other hand they also require more attention and strict validation to ensure model integrity. In this talk I will discuss recent developments related to prognostic emissions of mineral dust, primary marine aerosols and biomass burning in the NASA GEOS model and outline some of the challenges stemming from limited ability to represent subscale and stochastic processes.