Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter
Yueming Cheng,Tie Dai,Daisuke Goto,Nick A. J. Schutgens,Guangyu Shi,and Teruyuki Nakajima
Yueming Cheng
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Faculty of Science, Free University of Amsterdam, Amsterdam, the
Netherlands
Guangyu Shi
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Teruyuki Nakajima
Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan
Viewed
Total article views: 4,044 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,710
1,241
93
4,044
285
110
138
HTML: 2,710
PDF: 1,241
XML: 93
Total: 4,044
Supplement: 285
BibTeX: 110
EndNote: 138
Views and downloads (calculated since 03 Jun 2019)
Cumulative views and downloads
(calculated since 03 Jun 2019)
Total article views: 3,412 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,434
895
83
3,412
285
99
128
HTML: 2,434
PDF: 895
XML: 83
Total: 3,412
Supplement: 285
BibTeX: 99
EndNote: 128
Views and downloads (calculated since 05 Nov 2019)
Cumulative views and downloads
(calculated since 05 Nov 2019)
Total article views: 632 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
276
346
10
632
11
10
HTML: 276
PDF: 346
XML: 10
Total: 632
BibTeX: 11
EndNote: 10
Views and downloads (calculated since 03 Jun 2019)
Cumulative views and downloads
(calculated since 03 Jun 2019)
Viewed (geographical distribution)
Total article views: 4,044 (including HTML, PDF, and XML)
Thereof 3,851 with geography defined
and 193 with unknown origin.
Total article views: 3,412 (including HTML, PDF, and XML)
Thereof 3,296 with geography defined
and 116 with unknown origin.
Total article views: 632 (including HTML, PDF, and XML)
Thereof 555 with geography defined
and 77 with unknown origin.
Aerosol vertical information is critical to quantify the influences of aerosol on the climate and environment; however, large uncertainties still persist in model simulations. Global aerosol vertical distributions are more accurately simulated by assimilating the vertical aerosol extinction coefficients from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP).
Aerosol vertical information is critical to quantify the influences of aerosol on the climate...
