Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space
<p>High spatial resolution images of polar mesospheric clouds (PMCs) from a camera array on board the Aeronomy of Ice in the Mesosphere (AIM) satellite have been obtained since 2007. The Cloud Imaging and Particle Size Experiment (CIPS) detects scattered ultraviolet (UV) radiance at a variety...
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doaj-789b881b25f64557a420a455520dbdad2020-11-25T00:36:59ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-03-01121755176610.5194/amt-12-1755-2019Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from spaceG. E. Thomas0J. Lumpe1C. Bardeen2C. E. Randall3C. E. Randall4Laboratory for Atmospheric and Space Physics, University of Colorado Boulder, Boulder, Colorado, USAComputational Physics, Inc., Boulder, Colorado, USANational Center for Atmospheric Research, Boulder, Colorado, USALaboratory for Atmospheric and Space Physics, University of Colorado Boulder, Boulder, Colorado, USADepartment of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA<p>High spatial resolution images of polar mesospheric clouds (PMCs) from a camera array on board the Aeronomy of Ice in the Mesosphere (AIM) satellite have been obtained since 2007. The Cloud Imaging and Particle Size Experiment (CIPS) detects scattered ultraviolet (UV) radiance at a variety of scattering angles, allowing the scattering phase function to be measured for every image pixel. With well-established scattering theory, the mean particle size and ice water content (IWC) are derived. In the nominal mode of operation, approximately seven scattering angles are measured per cloud pixel. However, because of a change in the orbital geometry in 2016, a new mode of operation was implemented such that one scattering angle, or at most two, per pixel are now available. Thus particle size and IWC can no longer be derived from the standard CIPS algorithm. The Albedo-Ice Regression (AIR) method was devised to overcome this obstacle. Using data from both a microphysical model and from CIPS in its normal mode, we show that the AIR method provides sufficiently accurate average IWC so that PMC IWC can be retrieved from CIPS data into the future, even when albedo is not measured at multiple scattering angles. We also show from the model that 265 <span class="inline-formula">nm</span> UV scattering is sensitive only to ice particle sizes greater than about 20–25 <span class="inline-formula">nm</span> in (effective) radius and that the operational CIPS algorithm has an average error in retrieving IWC of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">13</mn><mo>±</mo><mn mathvariant="normal">17</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="257ceaed365862eb174d5924b0477b12"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-12-1755-2019-ie00001.svg" width="46pt" height="10pt" src="amt-12-1755-2019-ie00001.png"/></svg:svg></span></span> %.</p>https://www.atmos-meas-tech.net/12/1755/2019/amt-12-1755-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
G. E. Thomas J. Lumpe C. Bardeen C. E. Randall C. E. Randall |
spellingShingle |
G. E. Thomas J. Lumpe C. Bardeen C. E. Randall C. E. Randall Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space Atmospheric Measurement Techniques |
author_facet |
G. E. Thomas J. Lumpe C. Bardeen C. E. Randall C. E. Randall |
author_sort |
G. E. Thomas |
title |
Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space |
title_short |
Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space |
title_full |
Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space |
title_fullStr |
Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space |
title_full_unstemmed |
Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space |
title_sort |
albedo-ice regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space |
publisher |
Copernicus Publications |
series |
Atmospheric Measurement Techniques |
issn |
1867-1381 1867-8548 |
publishDate |
2019-03-01 |
description |
<p>High spatial resolution images of polar mesospheric clouds (PMCs)
from a camera array on board the Aeronomy of Ice in the Mesosphere (AIM) satellite
have been obtained since 2007. The Cloud Imaging and Particle Size
Experiment (CIPS) detects scattered ultraviolet (UV) radiance at a variety
of scattering angles, allowing the scattering phase function to be measured
for every image pixel. With well-established scattering theory, the mean
particle size and ice water content (IWC) are derived. In the nominal mode
of operation, approximately seven scattering angles are measured per cloud
pixel. However, because of a change in the orbital geometry in 2016, a new
mode of operation was implemented such that one scattering
angle, or at most two, per pixel are now available. Thus particle size and IWC can no longer
be derived from the standard CIPS algorithm. The Albedo-Ice Regression (AIR)
method was devised to overcome this obstacle. Using data from both a
microphysical model and from CIPS in its normal mode, we show that the AIR
method provides sufficiently accurate average IWC so that PMC IWC can be
retrieved from CIPS data into the future, even when albedo is not measured
at multiple scattering angles. We also show from the model that 265 <span class="inline-formula">nm</span> UV
scattering is sensitive only to ice particle sizes greater than about 20–25 <span class="inline-formula">nm</span>
in (effective) radius and that the operational CIPS algorithm has an
average error in retrieving IWC of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">13</mn><mo>±</mo><mn mathvariant="normal">17</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="257ceaed365862eb174d5924b0477b12"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-12-1755-2019-ie00001.svg" width="46pt" height="10pt" src="amt-12-1755-2019-ie00001.png"/></svg:svg></span></span> %.</p> |
url |
https://www.atmos-meas-tech.net/12/1755/2019/amt-12-1755-2019.pdf |
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