Review of surface particulate monitoring of dust events using geostationary satellite remote sensing

M Sowden, U Mueller, D Blake - Atmospheric Environment, 2018 - Elsevier
The accurate measurements of natural and anthropogenic aerosol particulate matter (PM) is
important in managing both environmental and health risks; however, limited monitoring in …

Aerosol data assimilation using data from Himawari‐8, a next‐generation geostationary meteorological satellite

K Yumimoto, TM Nagao, M Kikuchi… - Geophysical …, 2016 - Wiley Online Library
Abstract Himawari‐8, a next‐generation geostationary meteorological satellite, was
launched on 7 October 2014 and became operational on 7 July 2015. The advanced imager …

Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP)

P Xian, JS Reid, EJ Hyer, CR Sampson… - Quarterly Journal of …, 2019 - Wiley Online Library
Since the first International Cooperative for Aerosol Prediction (ICAP) multi‐model ensemble
(MME) study, the number of ICAP global operational aerosol models has increased from five …

Evaluation and Comparison of Himawari-8 L2 V1. 0, V2. 1 and MODIS C6. 1 aerosol products over Asia and the oceania regions

X Yang, C Zhao, N Luo, W Zhao, W Shi, X Yan - Atmospheric Environment, 2020 - Elsevier
Himawari-8 aerosol products are useful for forecasting weather, environmental monitoring,
and climate change research. In 2018, after receiving much attention from researchers, the …

[HTML][HTML] Applying the Dark Target aerosol algorithm with Advanced Himawari Imager observations during the KORUS-AQ field campaign

P Gupta, RC Levy, S Mattoo, LA Remer… - Atmospheric …, 2019 - amt.copernicus.org
For nearly 2 decades we have been quantitatively observing the Earth's aerosol system from
space at one or two times of the day by applying the Dark Target family of algorithms to polar …

[HTML][HTML] A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem v4. 0: design, development, and application of …

D Wang, W You, Z Zang, X Pan, Y Hu… - Geoscientific Model …, 2022 - gmd.copernicus.org
This paper presents a three-dimensional variational (3DVAR) data assimilation (DA) system
for aerosol optical properties, including aerosol optical thickness (AOT) retrievals and lidar …

Hourly aerosol assimilation of Himawari‐8 AOT using the four‐dimensional local ensemble transform Kalman filter

T Dai, Y Cheng, K Suzuki, D Goto… - Journal of Advances …, 2019 - Wiley Online Library
The next‐generation geostationary satellite Himawari‐8 has a much higher observation
frequency of the aerosol field than polar‐orbiting satellites. Aerosol analyses with a …

A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8

X Yan, Z Li, N Luo, W Shi, W Zhao, X Yang, J Jin - Atmospheric Research, 2018 - Elsevier
Aerosol properties, including aerosol optical thickness (AOT) and fine-mode fraction (FMF),
are important physical data and are fundamental for climate studies. A minimum albedo …

[HTML][HTML] Himawari-8/AHI and MODIS aerosol optical depths in China: evaluation and comparison

T Jiang, B Chen, KKY Chan, B Xu - Remote Sensing, 2019 - mdpi.com
The geostationary earth orbit satellite—Himawari-8 loaded with the Advanced Himawari
Imager (AHI) has greatly enhanced our capacity of dynamic monitoring in Asia–Pacific area …

[HTML][HTML] 暗目标法的Himawari-8 静止卫星数据气溶胶反演

葛邦宇, 杨磊库, 陈兴峰, 李正强, 梅笑冬, 刘李 - 2018 - html.rhhz.net
摘要Himawari-8 (H8) 是由日本气象厅发射的新一代静止气象卫星, 可实现10
min/次的高频次对地观测, 搭载的AHI (Advanced Himawari Imager) 传感器设置有与MODIS …