Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
 DetailsÜbersicht
  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.

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-4A4B-D Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-A202-8
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Burdanowitz_2017_Simulation_resubmit.zip (Ergänzendes Material), 2MB
 
Datei-Permalink:
-
Name:
Burdanowitz_2017_Simulation_resubmit.zip
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Eingeschränkt (Max Planck Institute for Meteorology, MHMT; )
MIME-Typ / Prüfsumme:
application/zip
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-
:
Scripts_Burdanowitz.tar.gz (Ergänzendes Material), 25KB
 
Datei-Permalink:
-
Name:
Scripts_Burdanowitz.tar.gz
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Eingeschränkt (Max Planck Institute for Meteorology, MHMT; )
MIME-Typ / Prüfsumme:
application/gzip
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-
:
remotesensing-09-00593.pdf (Verlagsversion), 847KB
Öffnen   Speichern
Datei-Permalink:
https://hdl.handle.net/11858/00-001M-0000-002D-6E0C-E
Name:
remotesensing-09-00593.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Öffnen
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Burdanowitz, Jörg1, 2, Autor           
Klepp, Christian3, Autor           
Bakan, Stephan2, 3, Autor           
Bühler, Stefan3, Autor           
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              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 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.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2017-052017-062017-062017-06
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.3390/rs9060593
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : FOR
Grant ID : 1740
Förderprogramm : -
Förderorganisation : Deutsche Forschungsgemeinschaft

Quelle 1

einblenden:
ausblenden:
Titel: Remote Sensing
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 9 (Spec. Iss: Remote Sensing Precipitation Measurement, Validation, and Applications)) Artikelnummer: 593 Start- / Endseite: - Identifikator: -