Photo-counting detector for ionosphere far ultraviolet night airglow remote sensing

2018 ◽  
Author(s):  
Jilong Peng ◽  
Shanshan Wang ◽  
Qian Yu ◽  
Zhong Yi ◽  
Dongbo Tian
Keyword(s):  
Remote Sensing ◽  
Far Ultraviolet ◽  
Night Airglow

scholarly journals Auroral ionospheric E region parameters obtained from satellite-based far ultraviolet and ground-based ionosonde observations: Effects of proton precipitation

2019 ◽  
Author(s):  
Harold K. Knight
Keyword(s):  
Remote Sensing ◽  
Optical Emission ◽  
Electron Precipitation ◽  
E Region ◽  
Emission Models ◽  
Proton Precipitation ◽  
Far Ultraviolet ◽  
Proton Aurora ◽  
Remote Sensing Methods

Abstract. Coincident auroral far ultraviolet (FUV) and ground-based ionosonde observations are compared for the purpose of determining whether auroral FUV remote sensing algorithms that assume pure electron precipitation are biased in the presence of proton precipitation. Auroral particle transport and optical emission models, such as the Boltzmann 3-Constituent (B3C) model, predict that maximum E region electron density (NmE) values derived from auroral Lyman-Birge-Hopfield (LBH) emission assuming electron precipitation will be biased high by up to ~ 20 % for pure proton aurora, while comparisons between LBH radiances and radiances derived from in situ particle flux observations (i.e., Knight et al., 2008, 2012) indicate that the bias associated with proton aurora should be much larger. Surprisingly, in the comparisons with ionosonde observations described here, no bias associated with proton aurora is found in FUV-derived auroral NmE, which means that auroral FUV remote sensing methods for NmE are more accurate in the presence of proton precipitation than was suggested in the aforementioned earlier works. Possible explanations for the discrepancy with the earlier results are discussed.

Far ultraviolet remote sensing of ionospheric emissions by Polar BEAR

1993 ◽  
Vol 31 (5) ◽  
pp. 931-945 ◽  
Author(s):  
I. Oznovich ◽  
A. Ravitz ◽  
M. Tur ◽  
I. Glaser ◽  
R.E. Huffman ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Polar Bear ◽  
Ultraviolet Remote Sensing ◽  
Far Ultraviolet

scholarly journals Far ultraviolet remote sensing of the isotropy boundary and magnetotail stretching

2005 ◽  
Vol 110 (A11) ◽  
Author(s):  
C. Blockx ◽  
J.-C. Gérard ◽  
M. Meurant ◽  
B. Hubert ◽  
V. Coumans
Keyword(s):  
Remote Sensing ◽  
Ultraviolet Remote Sensing ◽  
Far Ultraviolet

scholarly journals Far ultraviolet airglow remote sensing measurements on Feng Yun 3D meteorological satellite

2021 ◽  
Author(s):  
Yungang Wang ◽  
Liping Fu ◽  
Fang Jiang ◽  
Xiuqing Hu ◽  
Chengbao Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Standard Deviation ◽  
High Sensitivity ◽  
Equatorial Ionization Anomaly ◽  
High Latitude Region ◽  
Night Side ◽  
Latitude Region ◽  
Far Ultraviolet ◽  
Meteorological Satellite ◽  
Initial Results

Abstract. The Ionospheric Photometer (IPM) is carried on the Feng Yun 3D (FY3D) meteorological satellite, which allows for the measurement of far-ultraviolet (FUV) airglow radiation in the thermosphere. IPM is a compact and high-sensitivity nadir-viewing FUV remote sensing instrument. It monitors 135.6 nm emission in the night-side thermosphere and 135.6 nm and N2 LBH emissions in the day-side thermosphere that can be used to invert the peak electron density of the F2 layer (NmF2) at night and O / N2 ratio in the daytime, respectively. Preliminary observations show that the IPM could monitor the global structure of the equatorial ionization anomaly (EIA) structure around 2:00 local time using OI 135.6 nm nightglow properly. It could also identify the reduction of O / N2 in the high-latitude region during the geomagnetic storm of Aug. 26, 2018. The IPM derived NmF2 accords well with that observed by 4 ionosonde stations along 120° E with a standard deviation of 26.67 %. Initial results demonstrate that the performance of IPM meets the designed requirement and therefore can be used to study the thermosphere and ionosphere in the future.

SSUSI-Lite: a far-ultraviolet hyper-spectral imager for space weather remote sensing

2015 ◽  
Author(s):  
Bernard Ogorzalek ◽  
Steven Osterman ◽  
Uno Carlsson ◽  
Matthew Grey ◽  
John Hicks ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Space Weather ◽  
Hyper Spectral ◽  
Spectral Imager ◽  
Far Ultraviolet

Optical System of Far Ultraviolet Imaging Spectrometer for Space-Based Upper Atmosphere Remote Sensing

2013 ◽  
Vol 33 (1) ◽  
pp. 0122001
Author(s):  
于磊 Yu Lei ◽  
林冠宇 Lin Guanyu ◽  
于向阳 Yu Xiangyang
Keyword(s):  
Remote Sensing ◽  
Optical System ◽  
Upper Atmosphere ◽  
Imaging Spectrometer ◽  
Far Ultraviolet

Optics Design of Far Ultraviolet Imaging Spectrometer for Ionosphere Remote Sensing

2012 ◽  
Vol 32 (1) ◽  
pp. 0122001
Author(s):  
吴雁 Wu Yan ◽  
唐义 Tang Yi ◽  
刘健鹏 Liu Jianpeng ◽  
张止戈 Zhang Zhige ◽  
倪国强 Ni Guoqiang
Keyword(s):  
Remote Sensing ◽  
Imaging Spectrometer ◽  
Far Ultraviolet ◽  
Optics Design

The use of far ultraviolet remote sensing to monitor space weather

2003 ◽  
Vol 31 (4) ◽  
pp. 813-818 ◽  
Author(s):  
Larry J. Paxton ◽  
Daniel Morrison ◽  
Douglas J. Strickland ◽  
M.Geoff McHarg ◽  
Yongliang Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Space Weather ◽  
Ultraviolet Remote Sensing ◽  
Far Ultraviolet
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