New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations

摘要: Abstract. Accurate near real time fire emissions estimates are required for air quality forecasts. To date, most approaches based on satellite-derived of radiative power (FRP), which can be converted to energy (FRE) is directly related emissions. Uncertainties in these FRE often substantial. This a large part because the used low-Earth orbit satellite-based instruments such as Moderate Resolution Imaging Spectroradiometer (MODIS) have relatively poor sampling usually pronounced diurnal cycle. In this paper we explore spatial variation cycle and its drivers using data from geostationary Meteosat Spinning Enhanced Visible Infrared Imager (SEVIRI). addition, sampled SEVIRI instrument at MODIS detection opportunities develop two estimate hourly active detections. The first approach ignored cycle, assuming persistent activity between observations, while second combined knowledge climatology with detections FRE. full series, providing coverage were evaluate results. Our study period comprised 3 years (2010–2012), focused Africa Mediterranean basin avoid use potentially lower obtained very far off-nadir view angles. We found that varies substantially over region, depends both fuel weather conditions. For example, more "intense" fires characterized by high peak activity, long duration day, nighttime common areas size (i.e., burned area per event). These prevalent arid regions. Ignoring generally resulted an overestimation FRE, including information improved estimates. also distribution although only when aggregating model results coarser and/or temporal scale good correlation was reference set. recommend regionally varying within Global Fire Assimilation System (GFAS) Copernicus Atmosphere Monitoring Services, will improve may allow further reconciliation biomass burning emission different inventories.