TY - JOUR
T1 - Asian and Trans-Pacific Dust
T2 - A Multimodel and Multiremote Sensing Observation Analysis
AU - Kim, Dongchul
AU - Chin, Mian
AU - Yu, Hongbin
AU - Pan, Xiaohua
AU - Bian, Huisheng
AU - Tan, Qian
AU - Kahn, Ralph A.
AU - Tsigaridis, Kostas
AU - Bauer, Susanne E.
AU - Takemura, Toshihiko
AU - Pozzoli, Luca
AU - Bellouin, Nicolas
AU - Schulz, Michael
N1 - Funding Information:
This work is supported by NASA Atmospheric Composition: Modeling and Analysis (NNH14ZDA001N-ACMAP) and EOS Programs. H. Y. acknowledge the NASA support via NNH15ZDA001N-CCST and NNH17ZDA001N-TASNPP. We thank to Paul Ginoux for his insightful comments including MODIS Deep Blue dust optical depth. We would like to thank the MODIS, MISR, CALIOP, and AERONET teams for the data used in this study. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. Model data are available at the AeroCom webpage (http://aerocom.met.no/). AERONET data are obtained from NASA AERONET webpage (https://aeronet.gsfc.nasa.gov/). The MODIS Dark Target aerosol data were obtained from the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS) webpage (https://ladsweb.nascom.nasa.gov/). The CALIOP aerosol products were obtained from NASA Langley Research Center Atmospheric Science Data Center (https://eosweb.larc.nasa.gov/).
Funding Information:
This work is supported by NASA Atmospheric Composition: Modeling and Analysis (NNH14ZDA001N‐ACMAP) and EOS Programs. H. Y. acknowledge the NASA support via NNH15ZDA001N‐CCST and NNH17ZDA001N‐TASNPP. We thank to Paul Ginoux for his insightful comments including MODIS Deep Blue dust optical depth. We would like to thank the MODIS, MISR, CALIOP, and AERONET teams for the data used in this study. Resources supporting this work were provided by the NASA High‐End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. Model data are available at the AeroCom webpage ( http://aerocom.met.no/ ). AERONET data are obtained from NASA AERONET webpage ( https://aeronet.gsfc.nasa.gov/ ). The MODIS Dark Target aerosol data were obtained from the NASA Level‐1 and Atmosphere Archive and Distribution System (LAADS) webpage ( https://ladsweb.nascom.nasa.gov/ ). The CALIOP aerosol products were obtained from NASA Langley Research Center Atmospheric Science Data Center ( https://eosweb.larc.nasa.gov/ ).
Publisher Copyright:
©2019. American Geophysical Union. All Rights Reserved. This article has been contributed to by US Government employees and their work is in the public domain in the USA.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Dust is one of the dominant aerosol types over Asia and the North Pacific Ocean, but quantitative estimation of dust distribution and its contribution to the total regional aerosol load from observations is challenging due to the presence of significant anthropogenic and natural aerosols and the frequent influence of clouds over the region. This study presents the dust aerosol distributions over Asia and the North Pacific using simulations from five global models that participated in the AeroCom phase II model experiments, and from multiple satellite remote sensing and ground-based measurements of total aerosol optical depth and dust optical depth. We examine various aspects of aerosol and dust presence in our study domain: (1) the horizontal distribution, (2) the longitudinal gradient during trans-Pacific transport, (3) seasonal variations, (4) vertical profiles, and (5) model-simulated dust life cycles. This study reveals that dust optical depth model diversity is driven mostly by diversity in the dust source strength, followed by residence time and mass extinction efficiency.
AB - Dust is one of the dominant aerosol types over Asia and the North Pacific Ocean, but quantitative estimation of dust distribution and its contribution to the total regional aerosol load from observations is challenging due to the presence of significant anthropogenic and natural aerosols and the frequent influence of clouds over the region. This study presents the dust aerosol distributions over Asia and the North Pacific using simulations from five global models that participated in the AeroCom phase II model experiments, and from multiple satellite remote sensing and ground-based measurements of total aerosol optical depth and dust optical depth. We examine various aspects of aerosol and dust presence in our study domain: (1) the horizontal distribution, (2) the longitudinal gradient during trans-Pacific transport, (3) seasonal variations, (4) vertical profiles, and (5) model-simulated dust life cycles. This study reveals that dust optical depth model diversity is driven mostly by diversity in the dust source strength, followed by residence time and mass extinction efficiency.
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U2 - 10.1029/2019JD030822
DO - 10.1029/2019JD030822
M3 - Article
AN - SCOPUS:85076401370
VL - 124
SP - 13534
EP - 13559
JO - Journal of Geophysical Research
JF - Journal of Geophysical Research
SN - 0148-0227
IS - 23
ER -