Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

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

MPG-Autoren
/persons/resource/persons138725

Burdanowitz,  Jörg
IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society;
Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

/persons/resource/persons37091

Bakan,  Stephan
Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society;
A 2 - Climate Processes and Feedbacks, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)

remotesensing-09-00593.pdf
(Verlagsversion), 847KB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

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.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-002D-4A4B-D
Zusammenfassung
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.