Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements

Felix Yanovsky; Christine Unal; Aleksander Pitertsev; Herman Russchenberg

doi:10.1109/IGARSS53475.2024.10640682

Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements

Felix Yanovsky^*, Christine Unal, Aleksander Pitertsev, Herman Russchenberg

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Downloads (Pure)

Abstract

This paper describes the results of the research fulfilled in TU-Delft by joint Ukrainian and Dutch team. It analyzes multi-instrument rain observations, using the instrument set, which includes W-band cloud radar, laser optical disdrometers, weather station, and microwave radiometer. New friendly interface software is developed, presented, and used as a tool for comparison and fusion of diverse sensors datasets. The results obtained demonstrate the synergy of multi-instrument measurements and corresponds to the overarching trends of big data analysis. The intricacies of combining data from various sources to enhance calibration and improve the accuracy of atmospheric studies is discussed. In particular, analysis of 94 GHz cloud radar calibration based on disdrometer measurements with application of additional multi-instrument measurements is performed.

Original language	English
Title of host publication	IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	IEEE
Pages	520-524
Number of pages	5
ISBN (Electronic)	9798350360325
DOIs	https://doi.org/10.1109/IGARSS53475.2024.10640682
Publication status	Published - 2024
Event	2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece Duration: 7 Jul 2024 → 12 Jul 2024

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Country/Territory	Greece
City	Athens
Period	7/07/24 → 12/07/24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

calibration
data fusion
data processing
remote sensing
signal processing

Access to Document

10.1109/IGARSS53475.2024.10640682

Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer MeasurementsFinal published version, 1.19 MB

Cite this

Yanovsky, F., Unal, C., Pitertsev, A., & Russchenberg, H. (2024). Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 520-524). (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS53475.2024.10640682

@inproceedings{7dc223cc888343fa92caa730debdea5f,

title = "Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements",

abstract = "This paper describes the results of the research fulfilled in TU-Delft by joint Ukrainian and Dutch team. It analyzes multi-instrument rain observations, using the instrument set, which includes W-band cloud radar, laser optical disdrometers, weather station, and microwave radiometer. New friendly interface software is developed, presented, and used as a tool for comparison and fusion of diverse sensors datasets. The results obtained demonstrate the synergy of multi-instrument measurements and corresponds to the overarching trends of big data analysis. The intricacies of combining data from various sources to enhance calibration and improve the accuracy of atmospheric studies is discussed. In particular, analysis of 94 GHz cloud radar calibration based on disdrometer measurements with application of additional multi-instrument measurements is performed.",

keywords = "calibration, data fusion, data processing, remote sensing, signal processing",

author = "Felix Yanovsky and Christine Unal and Aleksander Pitertsev and Herman Russchenberg",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",

year = "2024",

doi = "10.1109/IGARSS53475.2024.10640682",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE",

pages = "520--524",

booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

address = "United States",

}

Yanovsky, F , Unal, C, Pitertsev, A & Russchenberg, H 2024, Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements. in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, pp. 520-524, 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, Athens, Greece, 7/07/24. https://doi.org/10.1109/IGARSS53475.2024.10640682

Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements. / Yanovsky, Felix ; Unal, Christine; Pitertsev, Aleksander et al.
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE, 2024. p. 520-524 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements

AU - Yanovsky, Felix

AU - Unal, Christine

AU - Pitertsev, Aleksander

AU - Russchenberg, Herman

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

Y1 - 2024

N2 - This paper describes the results of the research fulfilled in TU-Delft by joint Ukrainian and Dutch team. It analyzes multi-instrument rain observations, using the instrument set, which includes W-band cloud radar, laser optical disdrometers, weather station, and microwave radiometer. New friendly interface software is developed, presented, and used as a tool for comparison and fusion of diverse sensors datasets. The results obtained demonstrate the synergy of multi-instrument measurements and corresponds to the overarching trends of big data analysis. The intricacies of combining data from various sources to enhance calibration and improve the accuracy of atmospheric studies is discussed. In particular, analysis of 94 GHz cloud radar calibration based on disdrometer measurements with application of additional multi-instrument measurements is performed.

AB - This paper describes the results of the research fulfilled in TU-Delft by joint Ukrainian and Dutch team. It analyzes multi-instrument rain observations, using the instrument set, which includes W-band cloud radar, laser optical disdrometers, weather station, and microwave radiometer. New friendly interface software is developed, presented, and used as a tool for comparison and fusion of diverse sensors datasets. The results obtained demonstrate the synergy of multi-instrument measurements and corresponds to the overarching trends of big data analysis. The intricacies of combining data from various sources to enhance calibration and improve the accuracy of atmospheric studies is discussed. In particular, analysis of 94 GHz cloud radar calibration based on disdrometer measurements with application of additional multi-instrument measurements is performed.

KW - calibration

KW - data fusion

KW - data processing

KW - remote sensing

KW - signal processing

UR - http://www.scopus.com/inward/record.url?scp=85204920386&partnerID=8YFLogxK

U2 - 10.1109/IGARSS53475.2024.10640682

DO - 10.1109/IGARSS53475.2024.10640682

M3 - Conference contribution

AN - SCOPUS:85204920386

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 520

EP - 524

BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - IEEE

T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024

Y2 - 7 July 2024 through 12 July 2024

ER -

Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this