Global Aerosol Retrieval Over Land Using the Chinese Satellite Polarimeter DPC-2/GF-5(02)

摘要

This study presents the first year-long global aerosol retrieval results over land derived from the Chinese Multi-Angle Polarimeter (MAP), DPC-2/GF-5(02). Aerosol products, including Aerosol Optical Depth at 550 nm (AOD<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">550</sub>), Ångström Exponent between 440 nm and 670 nm (AE<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">440-670</sub>), and Single Scattering Albedo at 440 nm (SSA<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">440</sub>), have been produced using the Remote-sensing of Trace-gas and Aerosol Products (RemoTAP) algorithm. Validations against ground-based observations from AErosol RObotic NETwork (AERONET) and Sun-sky radiometer Observation NETwork (SONET) show good agreement. For AERONET validation the Root Mean Square Error (RMSE) and bias are 0.109 and -0.006 (AOD<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">550</sub>), 0.488 and -0.151 (AE<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">440-670</sub>), and 0.044 and 0.003 (SSA<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">440</sub>). For SONET validation the RMSE and bias are 0.059 and -0.017 (AOD<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">550</sub>), 0.261 and -0.002 (AE<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">440-670</sub>), and 0.041 and -0.002 (SSA<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">440</sub>). The effectiveness of vicarious calibration is also evaluated, revealing substantial improvements in agreement between forward model results and satellite measurements. Comparisons with MODIS Dark Target (DT), Deep Blue (DB), and Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol products across four seasons further confirm the consistency of our retrievals. The global distributions of annual mean aerosol properties align well with expected spatial patterns, highlighting the potential of DPC-2/GF-5(02) for robust global aerosol monitoring. Future work will focus on improving retrievals over bright surfaces and in high-altitude regions.