Imperial College London
Dr Russell

Dr Russell

Faculty of Natural Sciences, Department of Physics

Research Fellow (GERB Project Scientist)
 
 
 
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Contact

 

+44 (0)20 7594 7896j.e.russell

 
 
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Location

 

725Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Murray:2016:10.1002/2016JD025221,
author = {Murray, JE and Brindley, HE and Bryant, RG and Russell, JE and Jenkins, KF and Washington, R},
doi = {10.1002/2016JD025221},
journal = {Journal of Geophysical Research: Atmospheres},
pages = {10199--10219},
title = {Enhancing weak transient signals in SEVIRI false color imagery: Application to dust source detection in southern Africa},
url = {http://dx.doi.org/10.1002/2016JD025221},
volume = {121},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A method is described to significantly enhance the signature of dust events using observations from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The approach involves the derivation of a composite clear-sky signal for selected channels on an individual time-step and pixel basis. These composite signals are subtracted from each observation in the relevant channels to enhance weak transient signals associated with either (a) low levels of dust emission, or (b) dust emissions with high salt or low quartz content. Different channel combinations, of the differenced data from the steps above, are then rendered in false color imagery for the purpose of improved identification of dust source locations and activity. We have applied this clear-sky difference (CSD) algorithm over three [globally significant] source regions in southern Africa: the Makgadikgadi Basin, Etosha Pan, and the Namibian and western South African coast. Case study analyses indicate three notable advantages associated with the CSD approach over established image rendering methods: (i) an improved ability to detect dust plumes, (ii) the observation of source activation earlier in the diurnal cycle, and (iii) an improved ability to resolve and pinpoint dust plume source locations.
AU  - Murray,JE
AU  - Brindley,HE
AU  - Bryant,RG
AU  - Russell,JE
AU  - Jenkins,KF
AU  - Washington,R
DO  - 10.1002/2016JD025221
EP  - 10219
PY  - 2016///
SN  - 2169-897X
SP  - 10199
TI  - Enhancing weak transient signals in SEVIRI false color imagery: Application to dust source detection in southern Africa
T2  - Journal of Geophysical Research: Atmospheres
UR  - http://dx.doi.org/10.1002/2016JD025221
UR  - http://hdl.handle.net/10044/1/39450
VL  - 121
ER  -
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