Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals
The accurate simulation of microwave observations of clouds and precipitation are computationally challenging. A common simplification is the assumption of totally random orientation (TRO); however, studies have revealed that TRO occurs relatively infrequently in reality. A more appropriate assumpti...
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ftdoajarticles:oai:doaj.org/article:1fb84e67330346e486f3bf0e4d35d084 2023-05-15T18:18:49+02:00 Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals Inderpreet Kaur Patrick Eriksson Vasileios Barlakas Simon Pfreundschuh Stuart Fox 2022-03-01T00:00:00Z https://doi.org/10.3390/rs14071594 https://doaj.org/article/1fb84e67330346e486f3bf0e4d35d084 EN eng MDPI AG https://www.mdpi.com/2072-4292/14/7/1594 https://doaj.org/toc/2072-4292 doi:10.3390/rs14071594 2072-4292 https://doaj.org/article/1fb84e67330346e486f3bf0e4d35d084 Remote Sensing, Vol 14, Iss 1594, p 1594 (2022) oriented hydrometeors scattering polarisation differences ice water path remote sensing radiative transfer Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14071594 2022-12-30T23:41:32Z The accurate simulation of microwave observations of clouds and precipitation are computationally challenging. A common simplification is the assumption of totally random orientation (TRO); however, studies have revealed that TRO occurs relatively infrequently in reality. A more appropriate assumption is that of azimuthally random orientation (ARO), but so far it has been a computationally expensive task. Recently a fast approximate approach was introduced that incorporates hydrometeor orientation into the assimilation of data from microwave conically scanning instruments. The approach scales the extinction in vertical (V) and horizontal (H) polarised channels to approximate ARO. In this study, the application of the approach was extended to a more basic radiative transfer perspective using the Atmospheric Radiative Transfer Simulator and the high-frequency channels of the Global Precipitation Measurement Microwave Imager (GMI). The comparison of forward simulations and GMI observations showed that with a random selection of scaling factors from a uniform distribution between 1 and 1.4–1.5, it is possible to mimic the full distribution of observed polarisation differences at 166 GHz over land and water. The applicability of this model at 660 GHz was also successfully demonstrated by means of existing airborne data. As a complement, a statistical model for polarised snow emissivity between 160 and 190 GHz was also developed. Combining the two models made it possible to reproduce the polarisation signals that were observed over all surface types, including snow and sea ice. Further, we also investigated the impact of orientation on the ice water path (IWP) retrievals. It has been shown that ignoring hydrometeor orientation has a significant negative impact (∼20% in the tropics) on retrieval accuracy. The retrieval with GMI observations produced highly realistic IWP distributions. A significant highlight was the retrieval over snow covered regions, which have been neglected in previous retrieval studies. These ... Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 14 7 1594 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
oriented hydrometeors scattering polarisation differences ice water path remote sensing radiative transfer Science Q |
spellingShingle |
oriented hydrometeors scattering polarisation differences ice water path remote sensing radiative transfer Science Q Inderpreet Kaur Patrick Eriksson Vasileios Barlakas Simon Pfreundschuh Stuart Fox Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals |
topic_facet |
oriented hydrometeors scattering polarisation differences ice water path remote sensing radiative transfer Science Q |
description |
The accurate simulation of microwave observations of clouds and precipitation are computationally challenging. A common simplification is the assumption of totally random orientation (TRO); however, studies have revealed that TRO occurs relatively infrequently in reality. A more appropriate assumption is that of azimuthally random orientation (ARO), but so far it has been a computationally expensive task. Recently a fast approximate approach was introduced that incorporates hydrometeor orientation into the assimilation of data from microwave conically scanning instruments. The approach scales the extinction in vertical (V) and horizontal (H) polarised channels to approximate ARO. In this study, the application of the approach was extended to a more basic radiative transfer perspective using the Atmospheric Radiative Transfer Simulator and the high-frequency channels of the Global Precipitation Measurement Microwave Imager (GMI). The comparison of forward simulations and GMI observations showed that with a random selection of scaling factors from a uniform distribution between 1 and 1.4–1.5, it is possible to mimic the full distribution of observed polarisation differences at 166 GHz over land and water. The applicability of this model at 660 GHz was also successfully demonstrated by means of existing airborne data. As a complement, a statistical model for polarised snow emissivity between 160 and 190 GHz was also developed. Combining the two models made it possible to reproduce the polarisation signals that were observed over all surface types, including snow and sea ice. Further, we also investigated the impact of orientation on the ice water path (IWP) retrievals. It has been shown that ignoring hydrometeor orientation has a significant negative impact (∼20% in the tropics) on retrieval accuracy. The retrieval with GMI observations produced highly realistic IWP distributions. A significant highlight was the retrieval over snow covered regions, which have been neglected in previous retrieval studies. These ... |
format |
Article in Journal/Newspaper |
author |
Inderpreet Kaur Patrick Eriksson Vasileios Barlakas Simon Pfreundschuh Stuart Fox |
author_facet |
Inderpreet Kaur Patrick Eriksson Vasileios Barlakas Simon Pfreundschuh Stuart Fox |
author_sort |
Inderpreet Kaur |
title |
Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals |
title_short |
Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals |
title_full |
Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals |
title_fullStr |
Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals |
title_full_unstemmed |
Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals |
title_sort |
fast radiative transfer approximating ice hydrometeor orientation and its implication on iwp retrievals |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14071594 https://doaj.org/article/1fb84e67330346e486f3bf0e4d35d084 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing, Vol 14, Iss 1594, p 1594 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/7/1594 https://doaj.org/toc/2072-4292 doi:10.3390/rs14071594 2072-4292 https://doaj.org/article/1fb84e67330346e486f3bf0e4d35d084 |
op_doi |
https://doi.org/10.3390/rs14071594 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
7 |
container_start_page |
1594 |
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1766195525279809536 |