作者: Charles Ichoku , Ralph Kahn , Mian Chin
DOI: 10.1016/J.ATMOSRES.2012.03.007
关键词: Gas composition 、 Meteorology 、 Atmospheric sciences 、 Characterization (materials science) 、 Trace gas 、 Atmospheric models 、 Radiative transfer 、 Satellite 、 Climate model 、 Environmental science 、 Aerosol
摘要: Abstract Characterization of biomass burning from space has been the subject an extensive body literature published over last few decades. Given importance this topic, we review how satellite observations contribute toward improving representation quantitatively in climate and air-quality modeling assessment. Satellite related to may be classified into five broad categories: (i) active fire location energy release, (ii) burned areas burn severity, (iii) smoke plume physical disposition, (iv) aerosol distribution particle properties, (v) trace gas concentrations. Each these categories involves multiple parameters used characterizing specific aspects biomass-burning phenomenon. Some are merely qualitative, whereas others quantitative, although all essential for scientific understanding overall (both spatial temporal) impacts burning. qualitative datasets, such as locations, index, estimates have fairly long-term records. They date back far 1970s, following launches DMSP, Landsat, NOAA, Nimbus series earth observation satellites. Although there were additional 1980s 1990s, space-based retrieval quantitative data products began earnest launch Terra December 1999. Starting 2000, radiative power, optical thickness properties land, injection height profile, concentrations at improved resolutions became available. The 2000s also saw a large list other new launches, including Aqua, Aura, Envisat, Parasol, CALIPSO, carrying host sophisticated instruments providing high quality measurements phenomena. These enabled significant progress study space. However, appreciable uncertainty remains many that still need addressed. Nevertheless, atmospheric models making adjustments take advantage studying activity, emissions, impacts. New research directions should include not only improvements retrievals accuracies, but increased synergy between them, can directly input without requiring elaborate interpretation.