Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas
Joint Authors
Choi, Minha
Kim, Hyunglok
Zohaib, Muhammad
Cho, Eunsang
Kerr, Yann H.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
For several decades, satellite-based microwave sensors have provided valuable soil moisture monitoring in various surface conditions.
We have first developed a modeled aerosol optical depth (AOD) dataset by utilizing Soil Moisture and Ocean Salinity (SMOS), Advanced Microwave Scanning Radiometer 2 (AMSR2), and the Global Land Data Assimilation System (GLDAS) soil moisture datasets in order to estimate dust outbreaks over desert areas of East Asia.
Moderate Resolution Imaging Spectroradiometer- (MODIS-) based AOD products were used as reference datasets to validate the modeled AOD (MA).
The SMOS-based MA (SMOS-MA) dataset showed good correspondence with observed AOD (R-value: 0.56) compared to AMSR2- and GLDAS-based MA datasets, and it overestimated AOD compared to observed AOD.
The AMSR2-based MA dataset was found to underestimate AOD, and it showed a relatively low R-value (0.35) with respect to observed AOD.
Furthermore, SMOS-MA products were able to simulate the short-term AOD trends, having a high R-value (0.65).
The results of this study may allow us to acknowledge the utilization of microwave-based soil moisture datasets for investigation of near-real time dust outbreak predictions and short-term dust outbreak trend analysis.
American Psychological Association (APA)
Kim, Hyunglok& Zohaib, Muhammad& Cho, Eunsang& Kerr, Yann H.& Choi, Minha. 2017. Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122533
Modern Language Association (MLA)
Kim, Hyunglok…[et al.]. Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas. Advances in Meteorology No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1122533
American Medical Association (AMA)
Kim, Hyunglok& Zohaib, Muhammad& Cho, Eunsang& Kerr, Yann H.& Choi, Minha. Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122533
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122533