Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars

Ground-based radar observations show that, over the eastern North Atlantic, 50 % of warm marine boundary layer (WMBL) hydrometeors occur below 1.2 km and have reflectivities of < −17 dBZ, thus making their detection from space susceptible to the extent of surface clutter and radar sensitivity. Su...

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Main Authors: Katia Lamer, Pavlos Kollias, Alessandro Battaglia, Simon Preval
Format: Other Non-Article Part of Journal/Newspaper
Language:unknown
Published: 2020
Subjects:
Online Access:https://figshare.com/articles/journal_contribution/Mind_the_gap_-_Part_1_Accurately_locating_warm_marine_boundary_layer_clouds_and_precipitation_using_spaceborne_radars/12424637
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spelling ftleicesterunfig:oai:figshare.com:article/12424637 2023-05-15T17:35:23+02:00 Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars Katia Lamer Pavlos Kollias Alessandro Battaglia Simon Preval 2020-05-14T00:00:00Z https://figshare.com/articles/journal_contribution/Mind_the_gap_-_Part_1_Accurately_locating_warm_marine_boundary_layer_clouds_and_precipitation_using_spaceborne_radars/12424637 unknown 2381/12424637.v1 https://figshare.com/articles/journal_contribution/Mind_the_gap_-_Part_1_Accurately_locating_warm_marine_boundary_layer_clouds_and_precipitation_using_spaceborne_radars/12424637 CC BY 4.0 CC-BY Uncategorized Science & Technology Physical Sciences Meteorology & Atmospheric Sciences PROFILING RADAR A-TRAIN VARIABILITY CALIBRATION Text Journal contribution 2020 ftleicesterunfig 2021-11-11T19:17:17Z Ground-based radar observations show that, over the eastern North Atlantic, 50 % of warm marine boundary layer (WMBL) hydrometeors occur below 1.2 km and have reflectivities of < −17 dBZ, thus making their detection from space susceptible to the extent of surface clutter and radar sensitivity. Surface clutter limits the ability of the CloudSat cloud profiling radar (CPR) to observe the true cloud base in ∼52 % of the cloudy columns it detects and true virga base in ∼80 %, meaning the CloudSat CPR often provides an incomplete view of even the clouds it does detect. Using forward simulations, we determine that a 250 m resolution radar would most accurately capture the boundaries of WMBL clouds and precipitation; that being said, because of sensitivity limitations, such a radar would suffer from cloud cover biases similar to those of the CloudSat CPR. Observations and forward simulations indicate that the CloudSat CPR fails to detect 29 %–43 % of the cloudy columns detected by ground-based sensors. Out of all configurations tested, the 7 dB more sensitive EarthCARE CPR performs best (only missing 9.0 % of cloudy columns) indicating that improving radar sensitivity is more important than decreasing the vertical extent of surface clutter for measuring cloud cover. However, because 50 % of WMBL systems are thinner than 400 m, they tend to be artificially stretched by long sensitive radar pulses, hence the EarthCARE CPR overestimation of cloud top height and hydrometeor fraction. Thus, it is recommended that the next generation of space-borne radars targeting WMBL science should operate interlaced pulse modes including both a highly sensitive long-pulse mode and a less sensitive but clutter-limiting short-pulse mode. Other Non-Article Part of Journal/Newspaper North Atlantic University of Leicester: Figshare
institution Open Polar
collection University of Leicester: Figshare
op_collection_id ftleicesterunfig
language unknown
topic Uncategorized
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
PROFILING RADAR
A-TRAIN
VARIABILITY
CALIBRATION
spellingShingle Uncategorized
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
PROFILING RADAR
A-TRAIN
VARIABILITY
CALIBRATION
Katia Lamer
Pavlos Kollias
Alessandro Battaglia
Simon Preval
Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
topic_facet Uncategorized
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
PROFILING RADAR
A-TRAIN
VARIABILITY
CALIBRATION
description Ground-based radar observations show that, over the eastern North Atlantic, 50 % of warm marine boundary layer (WMBL) hydrometeors occur below 1.2 km and have reflectivities of < −17 dBZ, thus making their detection from space susceptible to the extent of surface clutter and radar sensitivity. Surface clutter limits the ability of the CloudSat cloud profiling radar (CPR) to observe the true cloud base in ∼52 % of the cloudy columns it detects and true virga base in ∼80 %, meaning the CloudSat CPR often provides an incomplete view of even the clouds it does detect. Using forward simulations, we determine that a 250 m resolution radar would most accurately capture the boundaries of WMBL clouds and precipitation; that being said, because of sensitivity limitations, such a radar would suffer from cloud cover biases similar to those of the CloudSat CPR. Observations and forward simulations indicate that the CloudSat CPR fails to detect 29 %–43 % of the cloudy columns detected by ground-based sensors. Out of all configurations tested, the 7 dB more sensitive EarthCARE CPR performs best (only missing 9.0 % of cloudy columns) indicating that improving radar sensitivity is more important than decreasing the vertical extent of surface clutter for measuring cloud cover. However, because 50 % of WMBL systems are thinner than 400 m, they tend to be artificially stretched by long sensitive radar pulses, hence the EarthCARE CPR overestimation of cloud top height and hydrometeor fraction. Thus, it is recommended that the next generation of space-borne radars targeting WMBL science should operate interlaced pulse modes including both a highly sensitive long-pulse mode and a less sensitive but clutter-limiting short-pulse mode.
format Other Non-Article Part of Journal/Newspaper
author Katia Lamer
Pavlos Kollias
Alessandro Battaglia
Simon Preval
author_facet Katia Lamer
Pavlos Kollias
Alessandro Battaglia
Simon Preval
author_sort Katia Lamer
title Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
title_short Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
title_full Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
title_fullStr Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
title_full_unstemmed Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
title_sort mind the gap - part 1: accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
publishDate 2020
url https://figshare.com/articles/journal_contribution/Mind_the_gap_-_Part_1_Accurately_locating_warm_marine_boundary_layer_clouds_and_precipitation_using_spaceborne_radars/12424637
genre North Atlantic
genre_facet North Atlantic
op_relation 2381/12424637.v1
https://figshare.com/articles/journal_contribution/Mind_the_gap_-_Part_1_Accurately_locating_warm_marine_boundary_layer_clouds_and_precipitation_using_spaceborne_radars/12424637
op_rights CC BY 4.0
op_rightsnorm CC-BY
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