Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and its Implication on IWP Retrievals
The accurate simulation of microwave observations of clouds and precipitation are com-putationally 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 assumpt...
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ftchalmersuniv:oai:research.chalmers.se:529999 2024-11-03T14:59:37+00:00 Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and its Implication on IWP Retrievals Kaur, Inderpreet Eriksson, Patrick Barlakas, Vasileios Pfreundschuh, Simon Fox, Stuart 2022 text https://doi.org/10.3390/rs14071594 https://research.chalmers.se/en/publication/529999 unknown http://dx.doi.org/10.3390/rs14071594 https://research.chalmers.se/en/publication/529999 Meteorology and Atmospheric Sciences Physical Geography Climate Research scattering radiative transfer remote sensing ice water path polarisation differences ARTS oriented hydrometeors 2022 ftchalmersuniv https://doi.org/10.3390/rs14071594 2024-10-22T15:54:52Z The accurate simulation of microwave observations of clouds and precipitation are com-putationally 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 com-putationally 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 ... Other/Unknown Material Sea ice Chalmers University of Technology: Chalmers research Remote Sensing 14 7 1594 |
institution |
Open Polar |
collection |
Chalmers University of Technology: Chalmers research |
op_collection_id |
ftchalmersuniv |
language |
unknown |
topic |
Meteorology and Atmospheric Sciences Physical Geography Climate Research scattering radiative transfer remote sensing ice water path polarisation differences ARTS oriented hydrometeors |
spellingShingle |
Meteorology and Atmospheric Sciences Physical Geography Climate Research scattering radiative transfer remote sensing ice water path polarisation differences ARTS oriented hydrometeors Kaur, Inderpreet Eriksson, Patrick Barlakas, Vasileios Pfreundschuh, Simon Fox, Stuart Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and its Implication on IWP Retrievals |
topic_facet |
Meteorology and Atmospheric Sciences Physical Geography Climate Research scattering radiative transfer remote sensing ice water path polarisation differences ARTS oriented hydrometeors |
description |
The accurate simulation of microwave observations of clouds and precipitation are com-putationally 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 com-putationally 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 ... |
author |
Kaur, Inderpreet Eriksson, Patrick Barlakas, Vasileios Pfreundschuh, Simon Fox, Stuart |
author_facet |
Kaur, Inderpreet Eriksson, Patrick Barlakas, Vasileios Pfreundschuh, Simon Fox, Stuart |
author_sort |
Kaur, Inderpreet |
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 |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14071594 https://research.chalmers.se/en/publication/529999 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://dx.doi.org/10.3390/rs14071594 https://research.chalmers.se/en/publication/529999 |
op_doi |
https://doi.org/10.3390/rs14071594 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
7 |
container_start_page |
1594 |
_version_ |
1814718132536737792 |