Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5643-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-5643-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
07 Dec 2021
Data description paper |
| 07 Dec 2021
| 07 Dec 2021
Global balanced wind derived from SABER temperature and pressure observations and its validations
Henan Engineering Laboratory for Big Data Statistical Analysis and
Optimal Control, School of Mathematics and Information Sciences, Henan
Normal University, Xinxiang, 453000, China
State Key Laboratory of Space Weather, Center for Space Science and
Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
Jiyao Xu
CORRESPONDING AUTHOR
State Key Laboratory of Space Weather, Center for Space Science and
Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
School of Astronomy and Space Science, University of the Chinese
Academy of Science, Beijing, 100049, China
Atmospheric and Planetary Sciences, Hampton University, Hampton, VA
23668, USA
now at: Catholic University of America, Washington, DC 20064, USA
You Yu
Key Laboratory of Ionospheric Environment, Institute of Geology and
Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
Paulo P. Batista
Heliophysics, Planetary Science and Aeronomy Division, National
Institute for Space Research (INPE), Sao Jose dos Campos, Sao Paulo, Brazil
Vania F. Andrioli
State Key Laboratory of Space Weather, Center for Space Science and
Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
Heliophysics, Planetary Science and Aeronomy Division, National
Institute for Space Research (INPE), Sao Jose dos Campos, Sao Paulo, Brazil
Zhengkuan Liu
State Key Laboratory of Space Weather, Center for Space Science and
Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
Center for Atmospheric and Space Sciences, Utah State University,
Logan, UT 84322, USA
Chi Wang
State Key Laboratory of Space Weather, Center for Space Science and
Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
Ziming Zou
State Key Laboratory of Space Weather, Center for Space Science and
Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
Guozhu Li
Key Laboratory of Ionospheric Environment, Institute of Geology and
Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
James M. Russell III
Atmospheric and Planetary Sciences, Hampton University, Hampton, VA
23668, USA
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Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-33, https://doi.org/10.5194/acp-2021-33, 2021
Revised manuscript not accepted
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In this study, we report the climatology of migrating and non-migrating tides in mesopause winds estimated using multiyear observations from three meteor radars in the southern equatorial region. The results reveal that the climatological patterns of tidal amplitudes by meteor radars is similar to the Climatological Tidal Model of the Thermosphere (CTMT) results and the differences are mainly due to the effect of the stratospheric sudden warming (SSW) event.
Zhaohai He, Jiyao Xu, Ilan Roth, Chi Wang, and Lei Dai
Ann. Geophys. Discuss., https://doi.org/10.5194/angeo-2021-4, https://doi.org/10.5194/angeo-2021-4, 2021
Revised manuscript not accepted
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We presented sharp descent in proton fluxes is accompanied by the corresponding depression of SYM-H index, with a one-to-one correspondence, regardless of the storm intensity in our previous work [Xu et al., 2019]. This paper is a further study of the possible mechanisms, and to quantitified evaluate the effect of full adiabatic changes. Inner belt is not very stable as previous announced especially for the out zone of the inner belt. It is necessary to survey characteristics of protons.
Ricardo A. Buriti, Wayne Hocking, Paulo P. Batista, Igo Paulino, Ana R. Paulino, Marcial Garbanzo-Salas, Barclay Clemesha, and Amauri F. Medeiros
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Xiao Liu, Jiyao Xu, Jia Yue, and Hanli Liu
Atmos. Chem. Phys., 20, 14437–14456, https://doi.org/10.5194/acp-20-14437-2020, https://doi.org/10.5194/acp-20-14437-2020, 2020
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Sabine Wüst, Michael Bittner, Jeng-Hwa Yee, Martin G. Mlynczak, and James M. Russell III
Atmos. Meas. Tech., 13, 6067–6093, https://doi.org/10.5194/amt-13-6067-2020, https://doi.org/10.5194/amt-13-6067-2020, 2020
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With airglow spectrometers, the temperature in the upper mesosphere/lower thermosphere can be derived each night. The data allow to estimate the amount of energy which is transported by small-scale atmospheric waves, known as gravity waves. In order to do this, information about the Brunt–Väisälä frequency and its evolution during the year is necessary. This is provided here for low and midlatitudes based on 18 years of satellite data.
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Short summary
Based on the gradient balance wind theory and the SABER observations, a dataset of monthly mean zonal wind has been developed at heights of 18–100 km and latitudes of 50° Sndash;50° N from 2002 to 2019. The dataset agrees with the zonal wind from models (MERRA2, UARP, HWM14) and observations by meteor radar and lidar at seven stations. The dataset can be used to study seasonal and interannual variations and can serve as a background for wave studies of tides and planetary waves.
Based on the gradient balance wind theory and the SABER observations, a dataset of monthly mean...
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