Accuracy assessment of MODIS land aerosol optical thickness algorithms using AERONET measurements over North America
Accuracy assessment of MODIS land aerosol optical thickness algorithms using AERONET measurements over North America
复制标题
使用北美地区 AERONET 测量结果评估 MODIS 陆地气溶胶光学厚度算法的准确性
DOI：
10.5194/amt-12-4291-2019
复制
发表时间：
2019
影响因子：
3.8
通讯作者：
Y. Yoshida
中科院分区：
文献类型：
--
作者：
H. Jethva;O. Torres;Y. Yoshida
抽象的。计划同时提供可见光和近红外观测数据
从对流层排放的地球静止平台：监测
污染(TEMPO)和地球静止轨道运行的环境卫星
16/17高级基本成像仪(ABI)将提供
利用ABI的高性能获得精确的气雾剂产品
可见光范围内的空间分辨率和TEMPO对气溶胶的敏感性
在近紫外线范围内的吸收。因为ABI的波长类似于
中分辨率成像光谱仪(MODIS)，现有的
MODIS的气溶胶算法可以应用于ABI观测。在这
在这项工作中，我们评估了MODIS的三种不同的气溶胶算法
使用可见光和近红外技术的陆地表面气溶胶光学厚度
观察。暗目标(DT)、深蓝(DB)和多角度
大气校正(MAIAC)算法的实现
AQUA卫星上MODIS的辐射测量。我们有
通过将卫星检索的AOT与
时空配置的地面太阳光度计测量结果
北方上空气溶胶机器人网络(AERONET)171个站点的参数
美国(北美)。一种卫星反演的时空配置方案
与地面测量一致地应用于所有三个
检索数据集。我们发现，这三个指标的统计表现
与MAIAC相比，算法在北美东部较暗的表面上具有可比性
与西部NA站点进行相对较好的比较的算法
以不均匀的海拔和明亮的表面为特征。越高
MAIAC产品的空间分辨率(1 公里)允许更大的
比赛数量比DB 10 KM和DT 10 KM(DT 3 KM)产品高出115%
和120 %(86 %)分别高于北美东部和150 %和
西北亚上空220 %(197 %)。AOT中误差的表征
对于作为双向表面函数的三种气溶胶产品
从MAIAC和AN导出的反射率
独立的MOD09大气校正显示，DT的系统正偏差超过了亮度
表面，而DB和MAIAC检索在整个
广泛的表面亮度范围，MAIAC在
错误。这里报告的结果代表了一个客观、公正的结果
现有MODIS陆上气溶胶反演算法的评价。这个
对这三种方法的性能进行详细的统计评估
算法可以用来指导反演方案的开发
从ABI或其他类似MODIS的传感器获得气溶胶特性。
Abstract. The planned simultaneous availability of visible and near-IR observations
from the geostationary platforms of Tropospheric Emissions: Monitoring of
Pollution (TEMPO) and Geostationary Operational Environmental Satellites
(GOES) 16/17 Advanced Base Imager (ABI) will present the opportunity of
deriving an accurate aerosol product taking advantage of both ABI's high
spatial resolution in the visible range and TEMPO's sensitivity to aerosol
absorption in the near-UV range. Because the wavelengths of ABI are similar to
those of the Moderate Resolution Imaging Spectroradiometer (MODIS), existing
aerosol algorithms of MODIS can be applied to ABI observations. In this
work, we evaluate three distinct aerosol algorithms of MODIS deriving
aerosol optical thickness (AOT) over land surfaces using visible and near-IR
observations. The Dark Target (DT), Deep Blue (DB), and Multiangle
Implementation of Atmospheric Correction (MAIAC) algorithms are all applied
to the radiance measurements of MODIS on board the Aqua satellite. We have
evaluated each algorithm by comparing the satellite-retrieved AOT to
space-time collocated ground-based sun photometer measurements of the same
parameter at 171 sites of the Aerosol Robotic Network (AERONET) over North
America (NA). A spatiotemporal scheme collocating the satellite retrievals
with the ground-based measurements was applied consistently to all three
retrieval datasets. We find that the statistical performance of all three
algorithms is comparable over darker surfaces over eastern NA with the MAIAC
algorithm providing relatively better comparison over western NA sites
characterized by inhomogeneous elevation and bright surfaces. The higher
spatial resolution of the MAIAC product (1 km) allows a substantially larger
number of matchups than DB 10 km and DT 10 km (DT 3 km) products by 115 %
and 120 % (86 %), respectively, over eastern NA and by 150 % and
220 % (197 %) over western NA. The characterization of the error in AOT
for the three aerosol products as a function of bidirectional surface
reflectance derived from both MAIAC and an
independent MOD09 atmospheric correction shows a systematic positive bias in DT retrievals over brighter
surfaces, whereas DB and MAIAC retrievals show no such bias throughout the
wide range of surface brightness, with MAIAC offering the lowest spread in
errors. The results reported here represent an objective, unbiased
evaluation of existing over-land aerosol retrieval algorithms of MODIS. The
detailed statistical evaluation of the performance of each of these three
algorithms may be used as guidance in the development of inversion schemes
to derive aerosol properties from ABI or other MODIS-like sensors.