Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies
Shallow trade wind clouds pose one of the largest uncertainties in climate models. Due to the difficulties in assessing these clouds with routine observations the next-generation aircraft remote-sensing for validation campaign with the German High Altitude and LOng range research aircraft (HALO) too...
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Online Access: | https://ieeexplore.ieee.org/document/7937811/ |
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doaj-0f8b7d5f75aa4c419c7d5821c9de780e2021-06-02T23:05:49ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352017-01-011073114312410.1109/JSTARS.2017.26879437937811Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South StudiesSabrina Schnitt0Emiliano Orlandi1Mario Mech2Andre Ehrlich3Susanne Crewell4University of Cologne, Cologne, GermanyUniversity of Cologne, Cologne, GermanyUniversity of Cologne, Cologne, GermanyUniversity of Leipzig, Leipzig, GermanyUniversity of Cologne, Cologne, GermanyShallow trade wind clouds pose one of the largest uncertainties in climate models. Due to the difficulties in assessing these clouds with routine observations the next-generation aircraft remote-sensing for validation campaign with the German High Altitude and LOng range research aircraft (HALO) took place in December 2013. Here we take advantage of the synergy of the HALO active and passive microwave package as well as spectrally resolved solar radiation (SR) measured by HALO-SR to characterize shallow clouds in the Caribbean. Based on a cloud mask developed from HALO-SR, about 12 000 cloudy profiles within ~4100 individual clouds could be detected with about 70 % of them having a length of less than 2 km. Corresponding measurements with passive microwave measurements reveal that these small clouds also contain little water with 36% of the clouds showing a liquid water path (LWP) of less than 50g · m<sup>-2</sup>. We show that these small and thin clouds are difficult to characterize with satellite observations by the special sensor microwave imager/sounder due to its coarse resolution. Moderate imaging spectroradiometer measurements are able to identify the smaller clouds but suffer in terms of LWP when clouds start precipitating, which is the case for about 7% of the clouds as detected by the airborne 35 GHz radar.https://ieeexplore.ieee.org/document/7937811/Airborne active and passive microwavescloud remote sensingsatellite |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sabrina Schnitt Emiliano Orlandi Mario Mech Andre Ehrlich Susanne Crewell |
spellingShingle |
Sabrina Schnitt Emiliano Orlandi Mario Mech Andre Ehrlich Susanne Crewell Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Airborne active and passive microwaves cloud remote sensing satellite |
author_facet |
Sabrina Schnitt Emiliano Orlandi Mario Mech Andre Ehrlich Susanne Crewell |
author_sort |
Sabrina Schnitt |
title |
Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies |
title_short |
Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies |
title_full |
Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies |
title_fullStr |
Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies |
title_full_unstemmed |
Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies |
title_sort |
characterization of water vapor and clouds during the next-generation aircraft remote sensing for validation (narval) south studies |
publisher |
IEEE |
series |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
issn |
2151-1535 |
publishDate |
2017-01-01 |
description |
Shallow trade wind clouds pose one of the largest uncertainties in climate models. Due to the difficulties in assessing these clouds with routine observations the next-generation aircraft remote-sensing for validation campaign with the German High Altitude and LOng range research aircraft (HALO) took place in December 2013. Here we take advantage of the synergy of the HALO active and passive microwave package as well as spectrally resolved solar radiation (SR) measured by HALO-SR to characterize shallow clouds in the Caribbean. Based on a cloud mask developed from HALO-SR, about 12 000 cloudy profiles within ~4100 individual clouds could be detected with about 70 % of them having a length of less than 2 km. Corresponding measurements with passive microwave measurements reveal that these small clouds also contain little water with 36% of the clouds showing a liquid water path (LWP) of less than 50g · m<sup>-2</sup>. We show that these small and thin clouds are difficult to characterize with satellite observations by the special sensor microwave imager/sounder due to its coarse resolution. Moderate imaging spectroradiometer measurements are able to identify the smaller clouds but suffer in terms of LWP when clouds start precipitating, which is the case for about 7% of the clouds as detected by the airborne 35 GHz radar. |
topic |
Airborne active and passive microwaves cloud remote sensing satellite |
url |
https://ieeexplore.ieee.org/document/7937811/ |
work_keys_str_mv |
AT sabrinaschnitt characterizationofwatervaporandcloudsduringthenextgenerationaircraftremotesensingforvalidationnarvalsouthstudies AT emilianoorlandi characterizationofwatervaporandcloudsduringthenextgenerationaircraftremotesensingforvalidationnarvalsouthstudies AT mariomech characterizationofwatervaporandcloudsduringthenextgenerationaircraftremotesensingforvalidationnarvalsouthstudies AT andreehrlich characterizationofwatervaporandcloudsduringthenextgenerationaircraftremotesensingforvalidationnarvalsouthstudies AT susannecrewell characterizationofwatervaporandcloudsduringthenextgenerationaircraftremotesensingforvalidationnarvalsouthstudies |
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1721400169690300416 |