Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation

<p>The cloud-profiling radar (CPR) on the Earth Clouds, Aerosol, and Radiation Explorer (EarthCARE) satellite (EC-CPR) is the first satellite-borne Doppler radar. In a previous study, we examined the effects of horizontal (along-track) integration and simple unfolding methods on the reduction...

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Main Authors: Y. Hagihara, Y. Ohno, H. Horie, W. Roh, M. Satoh, T. Kubota
Format: Article
Language:English
Published: Copernicus Publications 2023-06-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/16/3211/2023/amt-16-3211-2023.pdf
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author Y. Hagihara
Y. Ohno
H. Horie
W. Roh
M. Satoh
T. Kubota
author_facet Y. Hagihara
Y. Ohno
H. Horie
W. Roh
M. Satoh
T. Kubota
author_sort Y. Hagihara
collection DOAJ
description <p>The cloud-profiling radar (CPR) on the Earth Clouds, Aerosol, and Radiation Explorer (EarthCARE) satellite (EC-CPR) is the first satellite-borne Doppler radar. In a previous study, we examined the effects of horizontal (along-track) integration and simple unfolding methods on the reduction of Doppler errors in the EC-CPR observations, and those effects were evaluated using two limited scenes in limited-latitude and low-pulse-repetition-frequency (PRF) settings. In this study, the amount of data used was significantly increased, and the area of the data used was extended globally. Not only low-PRF but also high-PRF settings were examined. We calculated the EC-CPR-observed Doppler velocity from pulse-pair covariances using the radar reflectivity factor and Doppler velocity obtained from a satellite data simulator and a global storm-resolving simulation. The global data were divided into five latitudinal zones, and each standard deviation of Doppler errors for 5 dB<span class="inline-formula"><i>Z</i><sub>e</sub></span> after 10 km integration was calculated. In the case of the low-PRF setting, the error without unfolding correction for the tropics reached a maximum of 2.2 m s<span class="inline-formula"><sup>−1</sup></span> and then decreased toward the poles (0.43 m s<span class="inline-formula"><sup>−1</sup>)</span>. The error with unfolding correction for the tropics became much smaller at 0.63 m s<span class="inline-formula"><sup>−1</sup></span>. In the case of the high-PRF setting, the error without unfolding correction for the tropics reached a maximum of 0.78 m s<span class="inline-formula"><sup>−1</sup></span> and then decreased toward the poles (0.19 m s<span class="inline-formula"><sup>−1</sup>)</span>. The error with unfolding correction for the tropics was 0.29 m s<span class="inline-formula"><sup>−1</sup></span>, less than half the value without the correction. The results of the analyses of the simulated data indicated that the zonal mean frequency of precipitation echoes was highest in the tropics and decreased toward the poles. Considering a limitation of the unfolding correction for discrimination between large upward velocity and large precipitation falling velocity, the latitudinal variation in the standard deviation of Doppler error can be explained by the precipitation echo distribution.</p>
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spelling doaj.art-98e0c3e105094e19b6cda7ff90c04b262023-06-28T04:19:11ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482023-06-01163211321910.5194/amt-16-3211-2023Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulationY. Hagihara0Y. Ohno1H. Horie2W. Roh3M. Satoh4T. Kubota5Radio Research Institute, National Institute of Information and Communications Technology, Koganei, Tokyo 184-8795, JapanRadio Research Institute, National Institute of Information and Communications Technology, Koganei, Tokyo 184-8795, JapanRadio Research Institute, National Institute of Information and Communications Technology, Koganei, Tokyo 184-8795, JapanAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba 277-8564, JapanAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba 277-8564, JapanEarth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Ibaraki 305-8505, Japan<p>The cloud-profiling radar (CPR) on the Earth Clouds, Aerosol, and Radiation Explorer (EarthCARE) satellite (EC-CPR) is the first satellite-borne Doppler radar. In a previous study, we examined the effects of horizontal (along-track) integration and simple unfolding methods on the reduction of Doppler errors in the EC-CPR observations, and those effects were evaluated using two limited scenes in limited-latitude and low-pulse-repetition-frequency (PRF) settings. In this study, the amount of data used was significantly increased, and the area of the data used was extended globally. Not only low-PRF but also high-PRF settings were examined. We calculated the EC-CPR-observed Doppler velocity from pulse-pair covariances using the radar reflectivity factor and Doppler velocity obtained from a satellite data simulator and a global storm-resolving simulation. The global data were divided into five latitudinal zones, and each standard deviation of Doppler errors for 5 dB<span class="inline-formula"><i>Z</i><sub>e</sub></span> after 10 km integration was calculated. In the case of the low-PRF setting, the error without unfolding correction for the tropics reached a maximum of 2.2 m s<span class="inline-formula"><sup>−1</sup></span> and then decreased toward the poles (0.43 m s<span class="inline-formula"><sup>−1</sup>)</span>. The error with unfolding correction for the tropics became much smaller at 0.63 m s<span class="inline-formula"><sup>−1</sup></span>. In the case of the high-PRF setting, the error without unfolding correction for the tropics reached a maximum of 0.78 m s<span class="inline-formula"><sup>−1</sup></span> and then decreased toward the poles (0.19 m s<span class="inline-formula"><sup>−1</sup>)</span>. The error with unfolding correction for the tropics was 0.29 m s<span class="inline-formula"><sup>−1</sup></span>, less than half the value without the correction. The results of the analyses of the simulated data indicated that the zonal mean frequency of precipitation echoes was highest in the tropics and decreased toward the poles. Considering a limitation of the unfolding correction for discrimination between large upward velocity and large precipitation falling velocity, the latitudinal variation in the standard deviation of Doppler error can be explained by the precipitation echo distribution.</p>https://amt.copernicus.org/articles/16/3211/2023/amt-16-3211-2023.pdf
spellingShingle Y. Hagihara
Y. Ohno
H. Horie
W. Roh
M. Satoh
T. Kubota
Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation
Atmospheric Measurement Techniques
title Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation
title_full Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation
title_fullStr Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation
title_full_unstemmed Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation
title_short Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation
title_sort global evaluation of doppler velocity errors of earthcare cloud profiling radar using a global storm resolving simulation
url https://amt.copernicus.org/articles/16/3211/2023/amt-16-3211-2023.pdf
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