Articles | Volume 8, issue 6
https://doi.org/10.5194/acp-8-1649-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-8-1649-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
18 Mar 2008
Operational retrieval of Asian sand and dust storm from FY-2C geostationary meteorological satellite and its application to real time forecast in Asia
X. Q. Hu
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites (KLRCV), National Satellite Meteorological Center, China Meteorological Administration (NSMC/CMA), Beijing 100081, China
Institute of remote sensing applications, Chinese Academy of Sciences, Beijing 100101, China
N. M. Lu
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites (KLRCV), National Satellite Meteorological Center, China Meteorological Administration (NSMC/CMA), Beijing 100081, China
T. Niu
Centre for Atmosphere Watch & Services (CAWAS), Chinese Academy of Meteorological Sciences, China Meteorological Administration (CMA), Beijing 100081, China
P. Zhang
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites (KLRCV), National Satellite Meteorological Center, China Meteorological Administration (NSMC/CMA), Beijing 100081, China
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- Evolutionary characteristics of the atmospheric circulations for frequent and infrequent dust storm springs in northern China and the detection of potential future seasonal forecast signals T. Gao & J. Han 10.1002/met.163
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- Detection of Asian dust storms from geostationary satellite observations of the INSAT-3D imager M. Mishra et al. 10.1080/01431161.2015.1084432
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45 citations as recorded by crossref.
- A review of techniques and technologies for sand and dust storm detection . Muhammad Akhlaq et al. 10.1007/s11157-012-9282-y
- A multi-scale hybrid neural network retrieval model for dust storm detection, a study in Asia M. Wong et al. 10.1016/j.atmosres.2015.02.006
- Analysis of the horizontal and vertical distribution of a dust weather event in the Tarim Basin based on multi-source observational datasets H. Jiang et al. 10.1016/j.apr.2025.102455
- Which dual-band infrared indices are optimum for identifying aerosol compositional change using Himawari-8 data? M. Sowden & D. Blake 10.1016/j.atmosenv.2020.117620
- A simplified Suomi NPP VIIRS dust detection algorithm Y. Yang et al. 10.1016/j.jastp.2017.08.010
- Identification of hydrological controls on dust emissions from Xilingol Grassland of Inner Mongolia, China M. Chi et al. 10.1088/1755-1315/227/5/052035
- Global sand and dust storms in 2008: Observation and HYSPLIT model verification Y. Wang et al. 10.1016/j.atmosenv.2011.08.035
- Adjoint inversion modeling of Asian dust emission using lidar observations K. Yumimoto et al. 10.5194/acp-8-2869-2008
- Dust Identification over Arid and Semiarid Regions of Asia Using AIRS Thermal Infrared Channels H. Xu et al. 10.1155/2014/847432
- PM10 data assimilation over south Korea to Asian dust forecasting model with the optimal interpolation method E. Lee et al. 10.1007/s13143-013-0009-y
- Detecting dust loads in the atmosphere over Thar desert by using MODIS and INSAT-3D data P. Sujitha et al. 10.1016/j.aeolia.2022.100814
- Evolutionary characteristics of the atmospheric circulations for frequent and infrequent dust storm springs in northern China and the detection of potential future seasonal forecast signals T. Gao & J. Han 10.1002/met.163
- Data assimilation of dust aerosol observations for the CUACE/dust forecasting system T. Niu et al. 10.5194/acp-8-3473-2008
- Detection of Asian dust storms from geostationary satellite observations of the INSAT-3D imager M. Mishra et al. 10.1080/01431161.2015.1084432
- Combined Dust Detection Algorithm for Asian Dust Events Over East Asia Using GK2A/AMI: a Case Study in October 2019 J. Jang et al. 10.1007/s13143-021-00234-5
- CUACE/Dust – an integrated system of observation and modeling systems for operational dust forecasting in Asia S. Gong & X. Zhang 10.5194/acp-8-2333-2008
- Spatiotemporal variability in dust observed over the Sinkiang and Inner Mongolia regions of Northern China H. Xu et al. 10.5094/APR.2015.063
- An Enhanced Satellite-Based Algorithm for Detecting and Tracking Dust Outbreaks by Means of SEVIRI Data F. Marchese et al. 10.3390/rs9060537
- Dust emission and environmental changes in the dried bottom of the Aral Sea R. Indoitu et al. 10.1016/j.aeolia.2015.02.004
- A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations M. Yu & C. Yang 10.1080/13658816.2016.1250900
- Sensitivity studies of aerosol data assimilation and direct radiative feedbacks in modeling dust aerosols H. Wang & T. Niu 10.1016/j.atmosenv.2012.09.066
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- Climatological analysis of dust storms in the area surrounding the Tengger Desert during 1960–2007 Q. Guan et al. 10.1007/s00382-014-2321-3
- Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring D. Tong et al. 10.5194/acp-12-5189-2012
- Enhancing Extended SWIR Al0.3InAsSb PIN Photodetectors with All-Dielectric Amorphous Germanium Photon-Capturing Gratings D. Wei et al. 10.1021/acsphotonics.3c01317
- Retrieval of dust storm aerosols using an integrated Neural Network model F. Xiao et al. 10.1016/j.cageo.2015.02.016
- An overview of passive and active dust detection methods using satellite measurements B. Chen et al. 10.1007/s13351-014-4032-4
- A Dynamic Enhancement With Background Reduction Algorithm: Overview and Application to Satellite‐Based Dust Storm Detection S. Miller et al. 10.1002/2017JD027365
- Identification Method for Spring Dust Intensity Levels Based on Multiple Remote Sensing Parameters Q. Jiang et al. 10.3390/rs16142606
- Using infrared geostationary remote sensing to determine particulate matter ground-level composition and concentration M. Sowden & D. Blake 10.1007/s11869-021-01061-3
- A seasonal forecast scheme for spring dust storm predictions in Northern China T. Gao et al. 10.1002/met.175
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