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

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posted on 2020-06-05, 09:39 authored by Katia Lamer, Pavlos Kollias, Alessandro Battaglia, Simon Preval
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.

Funding

This research has been supported by the U.S.Department of Energy Biological and Environmental Research pro-gram (grant nos. DE-SC0016344 and DE-SC0017967)

History

Citation

Atmos. Meas. Tech., 13, 2363–2379, 2020

Version

  • VoR (Version of Record)

Published in

ATMOSPHERIC MEASUREMENT TECHNIQUES

Volume

13

Issue

5

Pagination

2363 - 2379 (17)

Publisher

COPERNICUS GESELLSCHAFT MBH

issn

1867-1381

eissn

1867-8548

Acceptance date

2020-04-06

Copyright date

2020

Notes

All CloudSat CPR observations were obtained from the CloudSat data processing center (http://www.cloudsat.cira.colostate.edu/, last access: 12 June 2019, CloudSat, 2019). All ARM observations were obtained from the ARM archive (https://www.archive.arm.gov/discovery/, last access: 12 June 2019, ARM Data Discovery, 2019). Output of all forward simulations is fully reproducible from the information given.

Language

English

Publisher version

https://www.atmos-meas-tech.net/13/2363/2020/

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