Poisson Total Variation Denoising for Micropulse Water Vapor DIAL
We have adapted the Poisson Total Variation lidar signal processing technique for Micro-Pulse DIAL water vapor estimates. This processing technique ingests data at 10 second-37.5 meter resolution where it adaptively adjusts the retrieval resolution based on signal-to-noise and performs range deconvo...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2020-01-01
|
Series: | EPJ Web of Conferences |
Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_06012.pdf |
id |
doaj-8935b8bd497f47a4af84da4ecd6cec64 |
---|---|
record_format |
Article |
spelling |
doaj-8935b8bd497f47a4af84da4ecd6cec642021-08-02T17:07:49ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012370601210.1051/epjconf/202023706012epjconf_ilrc292020_06012Poisson Total Variation Denoising for Micropulse Water Vapor DIALHayman Matthew0Marais Willem1Stillwell Robert2Spuler Scott3National Center for Atmospheric Research, Earth Observing LabCooperative Institute for Meteorological Satellite Studies, University of Wisconsin-MadisonNational Center for Atmospheric Research, Earth Observing LabNational Center for Atmospheric Research, Earth Observing LabWe have adapted the Poisson Total Variation lidar signal processing technique for Micro-Pulse DIAL water vapor estimates. This processing technique ingests data at 10 second-37.5 meter resolution where it adaptively adjusts the retrieval resolution based on signal-to-noise and performs range deconvolution. The result is high resolution data in regions with ample signal, preservation of sharp discontinuities where they exist, and a data product that better represents of the acquired photon counting data than the standard processing technique.https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_06012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hayman Matthew Marais Willem Stillwell Robert Spuler Scott |
spellingShingle |
Hayman Matthew Marais Willem Stillwell Robert Spuler Scott Poisson Total Variation Denoising for Micropulse Water Vapor DIAL EPJ Web of Conferences |
author_facet |
Hayman Matthew Marais Willem Stillwell Robert Spuler Scott |
author_sort |
Hayman Matthew |
title |
Poisson Total Variation Denoising for Micropulse Water Vapor DIAL |
title_short |
Poisson Total Variation Denoising for Micropulse Water Vapor DIAL |
title_full |
Poisson Total Variation Denoising for Micropulse Water Vapor DIAL |
title_fullStr |
Poisson Total Variation Denoising for Micropulse Water Vapor DIAL |
title_full_unstemmed |
Poisson Total Variation Denoising for Micropulse Water Vapor DIAL |
title_sort |
poisson total variation denoising for micropulse water vapor dial |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2020-01-01 |
description |
We have adapted the Poisson Total Variation lidar signal processing technique for Micro-Pulse DIAL water vapor estimates. This processing technique ingests data at 10 second-37.5 meter resolution where it adaptively adjusts the retrieval resolution based on signal-to-noise and performs range deconvolution. The result is high resolution data in regions with ample signal, preservation of sharp discontinuities where they exist, and a data product that better represents of the acquired photon counting data than the standard processing technique. |
url |
https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_06012.pdf |
work_keys_str_mv |
AT haymanmatthew poissontotalvariationdenoisingformicropulsewatervapordial AT maraiswillem poissontotalvariationdenoisingformicropulsewatervapordial AT stillwellrobert poissontotalvariationdenoisingformicropulsewatervapordial AT spulerscott poissontotalvariationdenoisingformicropulsewatervapordial |
_version_ |
1721229308943400960 |