Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures

A neural-network-based retrieval method to determine the snow ice water path (SIWP), liquid water path (LWP), and integrated water vapor (IWV) from millimeter and submillimeter brightness temperatures, measured by using airborne radiometers (ISMAR and MARSS), is presented. The neural networks were t...

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Published in:Atmospheric Measurement Techniques
Main Authors: Brath, M., Eriksson, Patrick, Chawn Harlow, R., Burgdorf, Martin, Buehler, S.A.
Language:unknown
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/amt-11-611-2018
https://research.chalmers.se/en/publication/500680
id ftchalmersuniv:oai:research.chalmers.se:500680
record_format openpolar
spelling ftchalmersuniv:oai:research.chalmers.se:500680 2023-05-15T16:52:56+02:00 Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures Brath, M. Eriksson, Patrick Chawn Harlow, R. Burgdorf, Martin Buehler, S.A. 2018 text https://doi.org/10.5194/amt-11-611-2018 https://research.chalmers.se/en/publication/500680 unknown http://dx.doi.org/10.5194/amt-11-611-2018 https://research.chalmers.se/en/publication/500680 Meteorology and Atmospheric Sciences Water Engineering Oceanography Hydrology Water Resources radiometer brightness temperature climate prediction airborne survey prediction radiative transfer atmospheric modeling measurement method water vapor ice retreat artificial neural network 2018 ftchalmersuniv https://doi.org/10.5194/amt-11-611-2018 2022-12-11T07:05:48Z A neural-network-based retrieval method to determine the snow ice water path (SIWP), liquid water path (LWP), and integrated water vapor (IWV) from millimeter and submillimeter brightness temperatures, measured by using airborne radiometers (ISMAR and MARSS), is presented. The neural networks were trained by using atmospheric profiles from the ICON numerical weather prediction (NWP) model and by radiative transfer simulations using the Atmospheric Radiative Transfer Simulator (ARTS). The basic performance of the retrieval method was analyzed in terms of offset (bias) and the median fractional error (MFE), and the benefit of using submillimeter channels was studied in comparison to pure microwave retrievals. The retrieval is offset-free for SIWP > 0.01kgm -2 , LWP > 0:1kgm -2 , and IWV > 3kgm -2 . The MFE of SIWP decreases from 100% at SIWPD 0.01kgm -2 to 20% at SIWPD 1kgm -2 and the MFE of LWP from 100% at LWP D 0.05kgm -2 to 30% at LWPD 1kgm -2 . The MFE of IWV for IWV > 3kgm -2 is 5 to 8%. The SIWP retrieval strongly benefits from submillimeter channels, which reduce the MFE by a factor of 2, compared to pure microwave retrievals. The IWV and the LWP retrievals also benefit from submillimeter channels, albeit to a lesser degree. The retrieval was applied to ISMAR and MARSS brightness temperatures from FAAM flight B897 on 18 March 2015 of a precipitating frontal system west of the coast of Iceland. Considering the given uncertainties, the retrieval is in reasonable agreement with the SIWP, LWP, and IWV values simulated by the ICON NWP model for that flight. A comparison of the retrieved IWV with IWV from 12 dropsonde measurements shows an offset of 0:5kgm -2 and an RMS difference of 0:8kgm -2 , showing that the retrieval of IWV is highly effective even under cloudy conditions. Other/Unknown Material Iceland Chalmers University of Technology: Chalmers research Atmospheric Measurement Techniques 11 1 611 632
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language unknown
topic Meteorology and Atmospheric Sciences
Water Engineering
Oceanography
Hydrology
Water Resources
radiometer
brightness temperature
climate prediction
airborne survey
prediction
radiative transfer
atmospheric modeling
measurement method
water vapor
ice retreat
artificial neural network
spellingShingle Meteorology and Atmospheric Sciences
Water Engineering
Oceanography
Hydrology
Water Resources
radiometer
brightness temperature
climate prediction
airborne survey
prediction
radiative transfer
atmospheric modeling
measurement method
water vapor
ice retreat
artificial neural network
Brath, M.
Eriksson, Patrick
Chawn Harlow, R.
Burgdorf, Martin
Buehler, S.A.
Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
topic_facet Meteorology and Atmospheric Sciences
Water Engineering
Oceanography
Hydrology
Water Resources
radiometer
brightness temperature
climate prediction
airborne survey
prediction
radiative transfer
atmospheric modeling
measurement method
water vapor
ice retreat
artificial neural network
description A neural-network-based retrieval method to determine the snow ice water path (SIWP), liquid water path (LWP), and integrated water vapor (IWV) from millimeter and submillimeter brightness temperatures, measured by using airborne radiometers (ISMAR and MARSS), is presented. The neural networks were trained by using atmospheric profiles from the ICON numerical weather prediction (NWP) model and by radiative transfer simulations using the Atmospheric Radiative Transfer Simulator (ARTS). The basic performance of the retrieval method was analyzed in terms of offset (bias) and the median fractional error (MFE), and the benefit of using submillimeter channels was studied in comparison to pure microwave retrievals. The retrieval is offset-free for SIWP > 0.01kgm -2 , LWP > 0:1kgm -2 , and IWV > 3kgm -2 . The MFE of SIWP decreases from 100% at SIWPD 0.01kgm -2 to 20% at SIWPD 1kgm -2 and the MFE of LWP from 100% at LWP D 0.05kgm -2 to 30% at LWPD 1kgm -2 . The MFE of IWV for IWV > 3kgm -2 is 5 to 8%. The SIWP retrieval strongly benefits from submillimeter channels, which reduce the MFE by a factor of 2, compared to pure microwave retrievals. The IWV and the LWP retrievals also benefit from submillimeter channels, albeit to a lesser degree. The retrieval was applied to ISMAR and MARSS brightness temperatures from FAAM flight B897 on 18 March 2015 of a precipitating frontal system west of the coast of Iceland. Considering the given uncertainties, the retrieval is in reasonable agreement with the SIWP, LWP, and IWV values simulated by the ICON NWP model for that flight. A comparison of the retrieved IWV with IWV from 12 dropsonde measurements shows an offset of 0:5kgm -2 and an RMS difference of 0:8kgm -2 , showing that the retrieval of IWV is highly effective even under cloudy conditions.
author Brath, M.
Eriksson, Patrick
Chawn Harlow, R.
Burgdorf, Martin
Buehler, S.A.
author_facet Brath, M.
Eriksson, Patrick
Chawn Harlow, R.
Burgdorf, Martin
Buehler, S.A.
author_sort Brath, M.
title Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
title_short Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
title_full Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
title_fullStr Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
title_full_unstemmed Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
title_sort retrieval of an ice water path over the ocean from ismar and marss millimeter and submillimeter brightness temperatures
publishDate 2018
url https://doi.org/10.5194/amt-11-611-2018
https://research.chalmers.se/en/publication/500680
genre Iceland
genre_facet Iceland
op_relation http://dx.doi.org/10.5194/amt-11-611-2018
https://research.chalmers.se/en/publication/500680
op_doi https://doi.org/10.5194/amt-11-611-2018
container_title Atmospheric Measurement Techniques
container_volume 11
container_issue 1
container_start_page 611
op_container_end_page 632
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