Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Tian Mao is active.

Publication


Featured researches published by Tian Mao.


Journal of Geophysical Research | 2014

A preliminary study of thermosphere and mesosphere wind observed by Fabry‐Perot over Kelan, China

Tao Yu; Cong Huang; Guangxin Zhao; Tian Mao; Yungang Wang; Zhongcao Zeng; Jing-Song Wang; Chunliang Xia

A Fabry-Perot interferometer (FPI) system was deployed in Kelan (38.7°N, 111.6°E), center China in November 2011, which observes the airglows at wavelengths of 892.0 nm, 557.7 nm, and 630.0 nm from OH and OI emissions in the upper atmosphere, to derive the wind and temperature at heights around 87 km, 97 km, and 250 km, respectively. From late 2011 through 2013 a series of more than 4500 measurements at each height are validated according to manufacture data quality criteria. By using these data, the morphology of wind in the mesosphere and thermosphere is investigated in this study. Preliminary results are as follows: (1) As for the diurnal variation, meridional and zonal winds at heights of 87 km and 97 km, which are derived through 892.0 nm and 557.7 nm airglows, usually range from −50 m/s to 30 m/s and −50 m/s to 50 m/s, respectively, with typical random errors of about 6–10 m/s at 87 km and 2–3 m/s at 97 km. Meridional winds usually are northward at dusk, southward at middle night, and back to northward at dawn; and zonal winds usually are eastward at dusk, westward at middle night, and back to eastward at dawn. The monthly mean winds are in good agreement with those of HWM93 results. Meridional and zonal winds at a height of 250 km, which are derived through 630.0 nm nightglow, range from −110 m/s to 80 m/s with typical random errors of about 8–10 m/s. Meridional winds usually are northward at dusk, southward at middle night, and back to northward at dawn; and zonal winds usually are eastward at dusk, zero at middle night, and westward at dawn; and they are also well consistent with HWM93 results. (2) As for the seasonal variation, meridional winds at the heights of 87 km and 97 km have a visible annual variation at 12–17 LT and with a little semiannual variation at all other hours, but the zonal winds at the heights of 87 km and 97 km have a semiannual variation all night. The seasonal dependence of the winds, both meridional and zonal winds, at the height of 250 km is generally annual, but isolated cases of semiannual variation are observed. (3) The horizontal winds at 250 km evidently respond to the two storms of July 2012, apparent enhancement of the velocity of the southwestward wind. But no other obvious storm effects can be found from the winds at 87 km and 97 km during the same period.


Journal of Geophysical Research | 2016

Contrasting behavior of the F2 peak and the topside ionosphere in response to the 2 October 2013 geomagnetic storm

Jiuhou Lei; Jiahao Zhong; Tian Mao; Lianhuan Hu; Tao Yu; Xiaoli Luan; Xiankang Dou; Eric K. Sutton; Xinan Yue; Jian Lin; I. S. Batista

In this study, the ionospheric observations from ionosondes, ground-based GPS receivers, Gravity Recovery and Climate Experiment (GRACE) and MetOp-A satellites, and Fabry-Perot interferometer over the Asian-Australian sector have been used to investigate the responses of the F2 peak and the topside ionosphere to the 2 October 2013 geomagnetic storm, particularly during the recovery phase. The comparison between the multiple simultaneous observations revealed a contrasting behavior of the topside ionosphere and the F2 peak in East Asia during the recovery phase. The upward looking total electron content from low-Earth orbit (LEO) satellites did not undergo such depletions as seen in the region near the F2 peak, and they even showed increases. Furthermore, the simulation results of the Thermosphere Ionosphere Electrodynamics General Circulation Model are used to explore the possible mechanisms responsible for the observed features. The model results and observations suggested that the contrasting behavior of the F2 peak and the topside ionosphere is mainly associated with the enhancement of the equatorward winds, albeit the disturbed electric fields could play an important role in producing it.


IEEE Transactions on Geoscience and Remote Sensing | 2016

First Ionospheric Radio-Occultation Measurements From GNSS Occultation Sounder on the Chinese Feng-Yun 3C Satellite

Tian Mao; Lingfeng Sun; Guanglin Yang; Xinan Yue; Tao Yu; Cong Huang; Zhongchao Zeng; Yungang Wang; Jing-Song Wang

The Global Navigation Satellite System Occultation Sounder (GNOS) has been planned for the five Feng-Yun 3 series (FY3) weather satellites since 2013, the first of which, the FY3C satellite, was launched successfully at 03:07 UTC on September 23, 2013 from the Taiyuan Satellite Base, Shanxi province, China, into the orbit of 836-km altitude and 98.75° inclination. In addition to the Global Positioning System (GPS), the FY3C/GNOS is capable of tracking the occultation signal of the BeiDou Navigation Satellite System (BDS) (also called COMPASS) from space for the first time. The quality of BDS radio occultation (RO) has been verified in terms of signal-to-noise ratio. In this paper, the electron density profiles (EDPs) observed by FY3C/GNOS from both GPS RO and BDS RO, which were processed and archived in the National Satellite Meteorological Center of China Meteorological Administration, are compared with 32 globally distributed ionosonde observations, and then, we compare GPS RO EDPs with ionosonde observations at Mohe (52.0° N, 122.5° E), Beijing (40.3° N, 116.2° E), Wuhan (31.0° N, 114.5° E), and Sanya (18.3° N, 109.6° E). FY3C/GNOS EDPs show good agreement with ionosonde measurements, with larger discrepancies near the equatorial ionization anomaly region at Wuhan and Sanya. The ionospheric peak density (NmF2) and peak height (hmF2) derived from FY3C/GNOS EDPs are also compared with those obtained from the globally distributed ionosondes for the day of year 274-365 in 2013. In general, NmF2 and hmF2 have a higher correlation coefficient in the middle-high latitude than in the lower latitude region, due to the difference of ionospheric horizontal inhomogeneity. We also compared the NmF2 and hmF2 maps between FY3C/GNOS and the International Reference Ionosphere 2012 (IRI-2012) model. However, the wavenumber-4 structure, which can be indicated clearly from FY3C/GNOS observations, could not be reproduced well by IRI-2012. Further investigations show that the nighttime EDPs have obvious ionization enhancement around the ionospheric E layer over the Aurora and the South Atlantic Anomaly regions due to the energetic particle precipitation indicated by the Space Environment Monitor observations onboard FY3C.


Journal of Geophysical Research | 2016

A comparison of mesospheric and low‐thermospheric winds measured by Fabry‐Perot interferometer and meteor radar over central China

Tao Yu; Chunliang Xia; Xiaomin Zuo; Cong Huang; Tian Mao; Libo Liu; Zhizhao Liu

Wind data observed by a Fabry Perot Interferometer (FPI) and a Meteor Radar (MR) deployed in two stations, which are 430 km apart in ground distance, are used to study wind climatology in MLT over Central China and compare between the measurements. A general morphologic similarity of the FPI winds and MR winds is identified with four-years data since November 2011. At 87 km, the wind vector plots show the FPI and MR winds agree with each other very well in all months. The zonal winds of both instruments have an apparent semi-annual variation with a maximal strength of -20 m/s at around 18 UT in equinoctial months, and the meridional winds from both instruments have an apparent annual variation with a maximal strength of -40 m/s at around 15 UT in summer months. The correlation coefficients between the measurements of the two instruments are about 0.95 for meridional wind and 0.90 for zonal wind. At 97 km, the wind vector plots show that FPI and MR winds agree with each other from May to October and are obviously different in the rest months. There are very weak semi-annual variation at around 18 UT for both zonal winds and pronounced annual variation at around 13 UT for both meridional winds. The correlation coefficients between the FPI and MR winds are 0.73 for zonal wind and 0.86 for meridional wind, which are overall smaller than that at 87 km. A Gaussian distribution of airglow profile is used to investigate the deviations associated with peak height and full-width-half-maximum (FWHM) of airglow layer. It is found that the variation of peak height could lead to about 20% variation of correlation coefficients between measurements at the height of 87 km and about 14.8% at the height of 97 km on average. The variation of FWHM could lead to a correlation coefficient variation of about 2.4% and 3.5% at the height of 87 km and 97 km, respectively. Some other reasons, such as the influence of geomagnetic field on meteor trail, the propagation of gravity waves, could also contribute to these differences between measurements.


Journal of Geophysical Research | 2017

Peak height of OH airglow derived from simultaneous observations a Fabry-Perot interferometer and a Meteor Radar†

Tao Yu; Xiaomin Zuo; Chunliang Xia; Mingyuan Li; Cong Huang; Tian Mao; Xiaoxin Zhang; Biqiang Zhao; Libo Liu

A new method for estimating daily averaged peak height of the OH airglow layer from a ground-based Meteor Radar (MR) and a Fabry-Perot Interferometer (FPI) is presented. The first results are derived from four-year simultaneous measurements of winds by a MR and a FPI at two adjacent stations over center China, and are compared with observations from the TIMED/SABER instrument. The OH airglow peak heights, which are derived by using correlation analysis between winds of the FPI and MR, are found to generally peak at an altitude of 87 km, and frequently varied between 80 km to 90 km day to day. In comparison with SABER OH 1.6 µm observations, reasonable similarity of airglow peak heights is found, and rapid day-to-day variations are also pronounced. Lomb-Scargle analysis is used to determine cycles of temporal variations of airglow peak heights, and there are obvious periodic variations both in our airglow peak heights and in the satellite observations. In addition to the annual, semi-annual, monthly and three monthly variations, the shorter time variations, e.g. day-to-day and several days’ variations are also conspicuous. The day-to-day variations of airglow height obviously could reduce observation accuracy and lead to some deviations in FPI measurements. These FPI wind deviations arising from airglow height variations are also estimated to be about 3 - 5 m/s from 2011 to 2015, with strong positive correlation with airglow peak height variation. More attention should be paid to the wind deviations associated with airglow height variation when using and interpreting winds measured by FPI.


Radio Science | 2008

An empirical orthogonal function model of total electron content over China

Tian Mao; Weixing Wan; Xinan Yue; Lingfeng Sun; Biqiang Zhao; Jianpeng Guo


Chinese Science Bulletin | 2009

Study of the ionospheric anomaly before the Wenchuan earthquake

Tao Yu; Tian Mao; YunGang Wang; Jing-Song Wang


Chinese Science Bulletin | 2010

Effects of typhoon Matsa on ionospheric TEC

Tian Mao; Jing-Song Wang; Guanglin Yang; Tao Yu; JinSong Ping; YuCheng Suo


Annales Geophysicae | 2007

Gravity wave propagation in the realistic atmosphere based on a three-dimensional transfer function model

Lingfeng Sun; W. Wan; Feng Ding; Tian Mao


Advances in Space Research | 2015

A case study of ionospheric storm effects in the Chinese sector during the October 2013 geomagnetic storm

Tian Mao; Lingfeng Sun; Lianhuan Hu; Yungang Wang; Zhijun Wang

Collaboration


Dive into the Tian Mao's collaboration.

Top Co-Authors

Avatar

Tao Yu

China University of Geosciences

View shared research outputs
Top Co-Authors

Avatar

Chunliang Xia

China University of Geosciences

View shared research outputs
Top Co-Authors

Avatar

Lingfeng Sun

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Xinan Yue

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yungang Wang

China Meteorological Administration

View shared research outputs
Top Co-Authors

Avatar

Cong Huang

China Meteorological Administration

View shared research outputs
Top Co-Authors

Avatar

Jing-Song Wang

China Meteorological Administration

View shared research outputs
Top Co-Authors

Avatar

Biqiang Zhao

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Lianhuan Hu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Feng Ding

Chinese Academy of Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge