MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison-Reference-Cited by-同舟云学术

MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison

Published:2019-03 Issue: Volume:201 Page:428-440
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Wei Jing^ORCID,Li Zhanqing,Peng Yiran,Sun Lin

Funder

National Key R&D Program of China

National Science Foundation of China

US National Science Foundation

BNU Interdisciplinary Research Foundation

Distributed Active Archive Center

AERONET

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference44 articles.

1. A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces;Bilal;Remote Sens. Environ.,2013

2. Asian aerosols: current and year 2030 distributions and implications to human health and regional climate change;Carmichael;Environ. Sci. Technol.,2009

3. Observations of the interaction and transport of fine mode aerosols with cloud and/or fog in northeast asia from aerosol robotic network (AERONET) and satellite remote sensing;Eck;J. Geophys. Res. Atmos.,2018

4. Advancements in the aerosol robotic network (AERONET) version 3 database – automated near real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements;Giles;Atmos. Meas. Tech. Discuss.,2018

5. A surface reflectance scheme for retrieving aerosol optical depth over urban surfaces in MODIS dark target retrieval algorithm;Gupta;Atmos. Meas. Tech.,2016

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