TY - GEN
T1 - A new approach to detect surface currents of complex flows using doppler marine radar
AU - Nyman, Lisa
AU - Lund, Björn
AU - Romeiser, Roland
AU - Graber, Hans
AU - Horstmann, Jochen
N1 - Funding Information:
This work has been supported by the U.S. Office of Naval Research under Grants N00014-14-1-0630, N00014-16-1-3147, and N000014-17-1-2172
PY - 2018/10/31
Y1 - 2018/10/31
N2 - During a 2016 cruise to Palau, an X-Band, VV polarization Doppler Marine Radar (DMR) was installed on the R/V Roger Revelle. The DMR’s capabilities to receive Doppler velocity information is utilized in order to find surface currents. An algorithm was developed to extract full Doppler velocity vectors from radially averaged data on a rotating antenna every 1.5 minutes for all 10 days of the cruise. This algorithm can also produce fully 2-D Doppler velocity vector maps for locations seen from a variety of look directions as the ship moves. Statistical analysis is done to show that the time series of Doppler velocity has dependence on three crucial variables: ship motion, wind speed, and surface current. A functional relationship is determined from this. The overall validity of this functional relationship is analyzed.
AB - During a 2016 cruise to Palau, an X-Band, VV polarization Doppler Marine Radar (DMR) was installed on the R/V Roger Revelle. The DMR’s capabilities to receive Doppler velocity information is utilized in order to find surface currents. An algorithm was developed to extract full Doppler velocity vectors from radially averaged data on a rotating antenna every 1.5 minutes for all 10 days of the cruise. This algorithm can also produce fully 2-D Doppler velocity vector maps for locations seen from a variety of look directions as the ship moves. Statistical analysis is done to show that the time series of Doppler velocity has dependence on three crucial variables: ship motion, wind speed, and surface current. A functional relationship is determined from this. The overall validity of this functional relationship is analyzed.
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U2 - 10.1109/IGARSS.2018.8519168
DO - 10.1109/IGARSS.2018.8519168
M3 - Conference contribution
AN - SCOPUS:85063151601
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1493
EP - 1496
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -