Fire Radiative Power Pixel - MSG

The Fire Radiative Power product (FRP, in megawatts) provides information on the measured radiant heat output of detected fires. It has been demonstrated in small-scale experimental fires that the amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is related to the rate at which fuel is being consumed. This is a direct result of the combustion process, whereby carbon-based fuel is oxidised to CO2 with the release of a certain heat yield. Therefore, measuring this FRP and integrating it over the lifetime of the fire provides an estimate of the total Fire Radiative Energy (FRE), which for wildfires should be proportional to the total mass of fuel biomass combusted. Geostationary observations allow high temporal frequency FRP measurements, and thus a much-improved ability to estimate FRE via temporal integration when compared to the far less-frequent observations made from systems in low-Earth orbit. The FRP product is derived every 15 min at the native SEVIRI pixel resolution. The disseminated product includes for each processed pixel, the FRP (MW), the corresponding uncertainty in the FRP retrieval based on the variability of the background radiance estimation, and a confidence measure (representing the level of confidence that the observation is indeed a true fire). Applications: The FRP product is intended to support emerging operational atmosphere and climate-related applications, such as Air quality forecasting, Carbon cycle assessment and modelling, and Fire activity models.火辐射功率产品（Fire Radiative Power，以下简称FRP，单位为兆瓦）可提供所探测火灾的实测辐射热输出相关信息。已有小型实验火灾的相关研究证明，单位时间内释放的辐射热能总量（即火辐射功率）与燃料消耗速率呈显著相关。这是燃烧过程的直接结果：碳基燃料被氧化为二氧化碳的同时会释放一定的热产额。因此，对该FRP进行测量并在火灾整个存续期间进行积分，可估算得到总火辐射能量（Fire Radiative Energy，以下简称FRE）；对于野火而言，该总能量与燃烧的生物质燃料总质量成正比。与低地球轨道卫星系统的低频观测相比，地球静止轨道观测能够实现高时间分辨率的FRP测量，因此通过时间积分估算FRE的能力得到大幅提升。该FRP产品以SEVIRI传感器的原生像素分辨率，每15分钟生成一次。其分发产品包含每个已处理像素的FRP数值（单位：兆瓦）、基于背景辐射估计变异性的FRP反演对应不确定度，以及置信度指标（用于表征该观测确为真实火灾的置信水平）。应用场景：该FRP产品旨在支持新兴的业务化大气及气候相关应用，例如空气质量预报、碳循环评估与建模以及火灾活动模型等。