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  Simulation of ship-track versus satellite-sensor differences in oceanic precipitation using an island-based radar

Burdanowitz, J., Klepp, C., Bakan, S., & Bühler, S. (2017). Simulation of ship-track versus satellite-sensor differences in oceanic precipitation using an island-based radar. Remote Sensing, 9(Spec. Iss: Remote Sensing Precipitation Measurement, Validation, and Applications)): 593. doi:10.3390/rs9060593.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-4A4B-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-A202-8
Genre: Journal Article

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 Creators:
Burdanowitz, Jörg1, 2, Author           
Klepp, Christian3, Author           
Bakan, Stephan2, 3, Author           
Bühler, Stefan3, Author           
Affiliations:
1IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, ou_913547              
2Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913559              
3A 2 - Climate Processes and Feedbacks, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863497              

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 Abstract: The point-to-area problem strongly complicates the validation of satellite-based precipitation estimates, using surface-based point measurements. We simulate the limited spatial representation of light to moderate oceanic precipitation rates along ship tracks with respect to areal passive microwave satellite estimates using data from a subtropical island-based radar. The radar data serves to estimate the discrepancy between point-like and areal precipitation measurements. From the spatial discrepancy, two statistical adjustments are derived so that along-track precipitation ship data better represents areal precipitation estimates from satellite sensors. The first statistical adjustment uses the average duration of a precipitation event as seen along a ship track and the second adjustment uses the median-normalized along-track precipitation rate. Both statistical adjustments combined reduce the root mean squared error by 0.24 mm h 10 (55%) compared to the unadjusted average track of 60 radar pixels in length corresponding to a typical ship speed of 24–34 km h depending on track orientation. Beyond along-track averaging, the statistical adjustments represent an important step towards a more accurate validation of precipitation derived from passive microwave satellite sensors using point-like along-track surface precipitation reference data.

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Language(s): eng - English
 Dates: 2017-052017-062017-062017-06
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/rs9060593
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Project name : FOR
Grant ID : 1740
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft

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Title: Remote Sensing
Source Genre: Journal
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Pages: - Volume / Issue: 9 (Spec. Iss: Remote Sensing Precipitation Measurement, Validation, and Applications)) Sequence Number: 593 Start / End Page: - Identifier: -