Design of an optical remote-sensing system for measuring refractive turbulence in the Antarctic boundary layer

1996 ◽  
Author(s):  
Gary G. Gimmestad ◽  
J. R. White ◽  
Mikhail S. Belen'kii
Keyword(s):  
Remote Sensing ◽  
Boundary Layer ◽  
Optical Remote Sensing ◽  
Sensing System ◽  
Antarctic Boundary Layer ◽  
The Antarctic

Effective real refractive index of dry aerosols in the Antarctic boundary layer

2006 ◽  
Vol 33 (6) ◽  
Author(s):  
A. Virkkula ◽  
I. K. Koponen ◽  
K. Teinilä ◽  
R. Hillamo ◽  
V-M. Kerminen ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Refractive Index ◽  
Antarctic Boundary Layer ◽  
The Antarctic ◽  
Real Refractive Index

scholarly journals OH and halogen atom influence on the variability of non-methane hydrocarbons in the Antarctic Boundary Layer

Tellus B ◽  
2007 ◽  
Vol 59 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Katie A. Read ◽  
Alastair C. Lewis ◽  
Rhian A. Salmon ◽  
Anna E. Jones ◽  
Stéphane Bauguitte
Keyword(s):  
Boundary Layer ◽  
Halogen Atom ◽  
Antarctic Boundary Layer ◽  
The Antarctic

scholarly journals The multi-seasonal NO<sub>y</sub> budget in coastal Antarctica and its link with surface snow and ice core nitrate: results from the CHABLIS campaign

2007 ◽  
Vol 7 (2) ◽  
pp. 4127-4163 ◽  
Author(s):  
A. E. Jones ◽  
E. W. Wolff ◽  
D. Ames ◽  
S. J.-B. Bauguitte ◽  
K. C. Clemitshaw ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Ice Core ◽  
Austral Summer ◽  
Polar Regions ◽  
Low Concentrations ◽  
Surface Snow ◽  
Consistent Picture ◽  
Antarctic Boundary Layer ◽  
The Antarctic

Abstract. Measurements of individual NOy components were carried out at Halley station in coastal Antarctica. The measurements were made as part of the CHABLIS campaign (Chemistry of the Antarctic Boundary Layer and the Interface with Snow) and cover over half a year, from austral winter 2004 through to austral summer 2005. They are the longest duration and most extensive NOy budget study carried out to date in polar regions. Results show clear dominance of organic NOy compounds (PAN and MeONO2) during the winter months, with low concentrations of inorganic NOy, but a reversal of this situation towards summer when the balance shifts in favour of inorganic NOy. Multi-seasonal measurements of surface snow nitrate correlate strongly with inorganic NOy species. One case study in August suggested that particulate nitrate was the dominant source of nitrate to the snowpack, but this was not the consistent picture throughout the measurement period. An analysis of NOx production rates showed that emissions of NOx from the snowpack dominate over gas-phase sources of "new NOx", suggesting that, for certain periods in the past, the flux of NOx into the boundary layer can be calculated from ice core nitrate data.

scholarly journals DMS and MSA measurements in the Antarctic boundary layer: impact of BrO on MSA production

2008 ◽  
Vol 8 (1) ◽  
pp. 2657-2694 ◽  
Author(s):  
K. A. Read ◽  
A. C. Lewis ◽  
S. Bauguitte ◽  
A. M. Rankin ◽  
R. A. Salmon ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Austral Summer ◽  
Atmospheric Concentration ◽  
Air Masses ◽  
Average Value ◽  
Number Of Factors ◽  
Spatial Coverage ◽  
Antarctic Boundary Layer ◽  
The Antarctic

Abstract. In situ measurements of dimethyl sulphide (DMS) and methane sulphonic acid (MSA) were made at Halley Station, Antarctica (75°35´S, 26°19W) during February 2004–February 2005 as part of the CHABLIS (Chemistry of the Antarctic boundary layer and the interface with snow) project. DMS was present in the atmosphere at Halley all year (average 38.1±43 pptV) with a maximum monthly average value of 113.6±52 pptV in February 2004 coinciding temporally with a minimum in sea extent. Whilst seasonal variability and interannual variability can be attributed to a number of factors, short term variability appeared strongly dependent on air mass origin and trajectory pressure height. The MSA and derived non-sea salt sulphate (nss-SO42−) measurements showed no correlation with those of DMS (regression R2=0.039, and R2=0.001, respectively) in-line with the complexity of DMS fluxes, conflicting oxidation routes, transport of air masses and variable spatial coverage of both sea-ice and phytoplankton. MSA was generally low throughout the year, with an annual average of 42 ng m−3 (9.8±13.2 pptV), however MSA: nss-SO42− ratios were high implying a dominance of the addition oxidation route for DMS. Including BrO measurements into MSA production calculations demonstrated the significance of BrO on DMS oxidation within this region of the atmosphere in austral summer. Assuming an 80% yield of DMSO from the reaction of DMS+BrO, an atmospheric concentration of BrO equal to 3 pptV increased the calculated MSA production from DMS by a factor of 9 above that obtained when considering only reaction with the hydroxyl radical.

scholarly journals THE MATHEMATICAL MODEL OF OPTICAL REMOTE SENSING SYSTEM SIGNAL CONSIDERING BROKEN CLOUDINESS EFFECTS

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1145-1148
Author(s):  
V. P. Budak ◽  
O. V. Shagalov
Keyword(s):  
Remote Sensing ◽  
Complete Solution ◽  
Optical Remote Sensing ◽  
Approximate Methods ◽  
Sensing System ◽  
Two Stages ◽  
The Mathematical Model ◽  
Special Case ◽  
Speed And Accuracy ◽  
Good Agreement

With increasing of the accuracy of measuring equipment for the optical remote sensing in recent years the requirements for speed and accuracy of the algorithms for satellite data processing has greatly increased. It became necessary accurately to account all of the known factors, which affect the signal significantly. At each time, more than half of the planet is covered with clouds, so it is almost always necessary to take measurements into breaks in clouds. Cloudiness is among those factors which affect significantly the signal and its neglect in extreme cases can lead to an error of 140%. Here we propose a new solution of the radiative transfer equation (RTE) for a slab of a turbid medium with consideration of broken clouds. We use the classical approach to solving RTE: complete solution is represented as the sum of the anisotropic and regular parts. We express anisotropic part using small-angle modification of the spherical harmonics method. For the regular part we propose to use quasi two-stream approximation. This method is a special case of the synthetic iterations method. The method is based on splitting the ordinary iteration into two stages. At the first step one of approximate methods is used, and on the second step one ordinary iteration is used. We use two-stream approximation as an approximate method. In this paper we proposed a solution for the simplest case of broken clouds - cylindrical hole in the slab. Comparison of the algorithm was performed with established program MDOM, and showed good agreement.

Short-wave infrared imaging technology on space optical remote sensing system

2017 ◽  
Author(s):  
Wei Jiang ◽  
Qiaolin Huang ◽  
Zhanping Zhao ◽  
Lingyan Gao ◽  
Shaoyuan Cheng
Keyword(s):  
Remote Sensing ◽  
Infrared Imaging ◽  
Short Wave ◽  
Optical Remote Sensing ◽  
Imaging Technology ◽  
Sensing System ◽  
Short Wave Infrared

scholarly journals SACTNet: Spatial Attention Context Transformation Network for Cloud Removal

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Linlin Liu ◽  
Shaohui Hu
Keyword(s):  
Remote Sensing ◽  
Spatial Attention ◽  
Information Acquisition ◽  
Dynamic Monitoring ◽  
Optical Remote Sensing ◽  
Sensing System ◽  
Optical Remote Sensing Image ◽  
Feature Information ◽  
Cloud Removal ◽  
Ocean Monitoring

Optical remote sensing image has the advantages of fast information acquisition, short update cycle, and dynamic monitoring. It plays an important role in many earth observation activities, such as ocean monitoring, meteorological observation, land planning, and crop yield investigation. However, in the process of image acquisition, an optical remote sensing system is often disturbed by clouds, resulting in low image clarity or even loss of ground information, affecting the acquisition of feature information and subsequent applications. We propose a spatial attention recurrent neural network model combined with a context transformation network to overcome the challenge of cloud occlusion. This model can obtain the core information in remote sensing images and consider the remote dependencies in the network. Furthermore, the network proposed in this paper has achieved excellent performance on the RICE1 and RICE2 datasets.

A turbulent data analysis in the Antarctic boundary layer

1996 ◽  
Vol 19 (4) ◽  
pp. 487-504 ◽  
Author(s):  
G. Ficca ◽  
M. Pangia ◽  
S. Pierini ◽  
R. Purini ◽  
E. Sansone
Keyword(s):  
Boundary Layer ◽  
Data Analysis ◽  
Antarctic Boundary Layer ◽  
The Antarctic
Sign in / Sign up

Export Citation Format

Share Document