作者: Gitta Lasslop , Kirsten Thonicke , Silvia Kloster
DOI: 10.1002/2013MS000284
关键词: Meteorology 、 Satellite 、 Environmental science 、 Forcing (mathematics) 、 Spatial variability 、 Parametrization (atmospheric modeling) 、 Climatology 、 Scale (ratio) 、 Wind speed 、 Sensitivity (control systems) 、 Earth system science
摘要: Quantification of the role fire within Earth system requires an adequate representation as a climate-controlled process model. To be able to address questions on interaction between and system, we implemented mechanistic model SPITFIRE, in JSBACH, land surface MPI Here, document implementation well modifications. We evaluate our results by comparing simulation GFED version 3 satellite-based data set. In addition, assess sensitivity meteorological forcing spatial variability number relevant parameters. A first comparison with burned area observations showed strong correlation residuals wind speed. Further analysis revealed that response spread speed was too for application global scale. Therefore, developed improved parametrization account this effect. The evaluation shows is capture gradients seasonality area. Some areas model-data mismatch can explained differences vegetation cover compared observations. achieve benchmarking scores comparable other state-of-the-art models. total sensitive forcing. Adjustment parameters leads similar both sets respect seasonal patterns.