TY  - Data
T1  - Data set of dust aerosol optical thickness in desert areas along the "the Belt and Road" (2018-2022)
A1  - Wu xiaolin
A1  - Wang zhaobin
DO  - 10.12072/ncdc.2022yff.db6814.2025
PY  - 2025
DA  - 2025-04-14
PB  - National Cryosphere Desert Data Center
AB  - The data set is based on MCD19A2, MERRA-2 and ERA5_land datasets. Through data pre-processing, data up-sampling and spatio-temporal matching, various data such as aerosol optical thickness (AOD), wavelength index (AE) and meteorological parameters are extracted, and the observation value of AERONET ground station is taken as the target truth value. The machine learning algorithm LightGBM was used to train the model to invert the optical thickness of land dust aerosol with a daily resolution of 1 km in the Belt and Road desert area from 2018 to 2022. This dust aerosol optical thickness data set provides basic data for dust research in the "Belt and Road" area.1. Name of DataDust_Aerosol_Optica_Depth2. Data description of  attribute items   Lon: Longitude (°) of the data setLat: : Latitude of the data set (°)Dust_AOD: Dust aerosol optical thickness
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/f48b3581-bdc3-43ad-8a96-fc9115628b4d
ER  -