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首页> 外文期刊>Atmospheric chemistry and physics >Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements
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Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements

机译:使用卫星火辐射功率测量值对全球自上而下的烟雾气溶胶排放量进行估算

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Fire emissions estimates have long been based on bottom-up approaches that are not only complex, but also fraught with compounding uncertainties. We present the development of a global gridded (1° ×1°) emission coefficients (C_e) product for smoke total particulate matter (TPM) based on a top-down approach using coincident measurements of fire radiative power (FRP) and aerosol optical thickness (AOT) from the Moderate-resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra and Aqua satellites. This new Fire Energetics and Emissions Research version 1.0 (FEER.v1) C_e product has now been released to the community and can be obtained from http://feer.gsfc. nasa.gov/, along with the corresponding 1-to-1 mapping of their quality assurance (QA) flags that will enable the C_e values to be filtered by quality for use in various applications. The regional averages of C_e values for different ecosystem types were found to be in the ranges of 16–21 g MJ~(?1) for savanna and grasslands, 15–32 g MJ~(?1) for tropical forest, 9–12 g MJ~(?1) for North American boreal forest, and 18– 26 g MJ~(?1) for Russian boreal forest, croplands and natural vegetation. The FEER.v1 C_e product was multiplied by time-integrated FRP data to calculate regional smoke TPM emissions, which were compared with equivalent emissions products from three existing inventories. FEER.v1 showed higher and more reasonable smoke TPM estimates than two other emissions inventories that are based on bottom-up approaches and already reported in the literature to be too low, but portrayed an overall reasonable agreement with another top-down approach. This suggests that top-down approaches may hold better promise and need to be further developed to accelerate the reduction of uncertainty associated with fire emissions estimation in air-quality and climate research and applications. Results of the analysis of FEER.v1 data for 2004–2011 show that 65–85 Tg yr~(?1) of TPM is emitted globally from open biomass burning, with a generally decreasing trend over this short time period. The FEER.v1 C_e product is the first global gridded product in the family of "emission factors", that is based essentially on satellite measurements, and requires only direct satellite FRP measurements of an actively burning fire anywhere to evaluate its emission rate in near-real time, which is essential for operational activities, such as the monitoring and forecasting of smoke emission impacts on air quality.
机译:长期以来,火灾排放估算一直以自下而上的方法为基础,这种方法不仅复杂,而且充满不确定性。我们基于自上而下的方法,同时使用火辐射功率(FRP)和气溶胶光学厚度的测量值,为烟雾总颗粒物(TPM)提出了全球网格(1°×1°)排放系数(C_e)产品的开发Terra和Aqua卫星上的中等分辨率成像光谱仪(MODIS)传感器提供的(AOT)。此新的《火能与排放研究》 1.0版(FEER.v1)C_e产品现已发布给社区,可以从http://feer.gsfc获得。 nasa.gov/,以及它们的质量保证(QA)标志的对应的一对一映射,这将使C_e值能够按质量过滤以用于各种应用程序。大草原和草原的不同生态系统类型C_e值的区域平均值在16–21 g MJ〜(?1)范围内,热带森林为15–32 g MJ〜(?1),9-12 g MJ〜(?1)用于北美北方森林,18-26 g MJ〜(?1)用于俄罗斯北方森林,农田和自然植被。将FEER.v1 C_e产品乘以时间积分的FRP数据,以计算区域烟气TPM排放量,并将其与来自三个现有清单的等效排放量产品进行比较。 FEER.v1显示的烟气TPM估算值比其他两个基于自下而上方法的排放清单更高,更合理,并且在文献中已经报告过太低,但描绘出与另一种自上而下方法的总体合理协议。这表明自上而下的方法可能有更好的前景,需要进一步发展以加快减少与空气质量以及气候研究和应用中的火灾排放估算相关的不确定性。 2004–2011年FEER.v1数据的分析结果表明,开放式生物量燃烧在全球范围内排放了65–85 Tg yr〜(?1)TPM,在此短时间内总体呈下降趋势。 FEER.v1 C_e产品是“排放因子”系列中的第一个全球网格化产品,该产品主要基于卫星测量,并且仅需对任何地方活跃燃烧的火进行直接卫星FRP测量,即可评估其近火排放率。实时,这对于运营活动至关重要,例如监视和预测烟雾排放对空气质量的影响。

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