Towards wide-swath high-resolution mapping of total ocean surface current vectors from space: Airborne proof-of-concept and validation

Two-dimensional high-resolution maps of total surface current vectors obtained for the first time with an airborne demonstrator of the innovative Wavemill instrument concept are validated against HF radar data and compared with output from the POLCOMS high-resolution coastal ocean circulation model. Wavemill is a squinted along-track interferometric SAR system optimized for ocean surface current vector retrieval that operates at moderate incidence angles (∼30°) and is compatible with spaceborne implementation. This paper represents the first comprehensive validation of the current retrieval capabilities of squinted along-track SAR interferometry in support of its development as a future European Space Agency Earth Explorer mission. Wavemill airborne data were acquired in October 2011 in Liverpool Bay off the west coast of Great Britain in light southerly wind (5.5 m/s) and maximum tidal ebbing flow (0.7 m/s) conditions. Contributions to the measured SAR interferometric phase by surface gravity waves, known as the Wind-wave induced Artefact Surface Velocity (WASV), were removed using our best estimate of wind conditions and the (Mouche et al., 2012) empirical correction derived from Envisat ASAR. Validation of the 1.5 km resolution Wavemill current vectors against independent current measurements from HF radar gives very encouraging results, with Wavemill biases and precisions typically better than 0.05 m/s and 0.1 m/s for surface current speed, and better than 10° and 7° for current direction. The sensitivity of the current retrieval to the wind vector used to compute the WASV is estimated. A ± 1 m/s error (bias) in wind speed has minimal impact on the quality of the retrieved currents. In contrast, the choice of wind direction is critical: a bias of ± 15° in the direction of the wind vector degrades the accuracy of the airborne current speed against the HF radar by about ± 0.2 m/s. This highlights the need for future instruments to provide calibrated SAR Normalised Radar Cross Section data to support retrieval of wind and current vectors simultaneously. Comparisons of POLCOMS surface currents with HF radar data indicate that the model reproduces well the overall temporal evolution of the tidal current (correlation of spatial fields against HF radar over two tidal cycles of 0.9) but that the model features a systematic 1-h delay in the timing of the maximum ebbing flow in eastern parts of the domain near the Mersey Bar Light buoy. At the maximum ebb flow, the model underestimates the current speed (bias of −0.2m/s) with respect to the HF radar and Wavemill data at the time of the flights. Both the HF radar and Wavemill data reflect much greater snapshot spatial variability of the ocean surface current field than is present in the model, resulting in poor correlation of instantaneous spatial fields (< 0.5) between POLCOMS and the HF radar data. The Wavemill data reveal high spatial variability of ocean surface currents at fine scales, which are not visible in the 4km resolution HF radar data. Wavemill detects several strong (1–1.5m/s) localized current jets associated with deeper bathymetry channels in shallow waters (< 10 m) that are too narrow or too close to land to be observed by the HF radar. The study confirms the value of synoptic wide-swath maps of high-resolution ocean surface current vectors for coastal applications and to validate and develop high-resolution ocean circulation models.

[1]  Fabrice Ardhuin,et al.  Observation and estimation of Lagrangian, Stokes and Eulerian currents induced by wind and waves at the sea surface , 2008, 0810.3537.

[2]  Patrice Klein,et al.  Impact of the small-scale elongated filaments on the oceanic vertical pump. , 2006 .

[3]  P. Thibaut,et al.  Investigating Short-Wavelength Correlated Errors on Low-Resolution Mode Altimetry , 2014 .

[4]  Cristian Rossi,et al.  Quality Assessment of Surface Current Fields From TerraSAR-X and TanDEM-X Along-Track Interferometry and Doppler Centroid Analysis , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[5]  T. Barnett,et al.  Remote Sensing of Ocean Currents , 1989, Science.

[6]  Christopher Buck,et al.  An extension to the wide swath ocean altimeter concept , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[7]  Donald R. Thompson,et al.  Ocean surface features and currents measured with synthetic aperture radar interferometry and HF radar , 1996 .

[8]  Bertrand Chapron,et al.  Direct measurements of ocean surface velocity from space: Interpretation and validation , 2005 .

[9]  J. Holt,et al.  An s coordinate density evolving model of the northwest European continental shelf: 1. Model description and density structure , 2001 .

[10]  Russell Tessier,et al.  A pod-based dual-beam SAR , 2004, IEEE Geoscience and Remote Sensing Letters.

[11]  Clifford R. Merz,et al.  Assessment of CODAR SeaSonde and WERA HF Radars in Mapping Surface Currents on the West Florida Shelf , 2014 .

[12]  Christine Gommenginger,et al.  Wind‐wave‐induced velocity in ATI SAR ocean surface currents: First experimental evidence from an airborne campaign , 2016 .

[13]  Roland Romeiser,et al.  Estimating Nearshore Ocean Currents from Airborne ATI-SAR , 2016 .

[14]  R. Shuchman,et al.  Airborne synthetic aperture radar observation of surf zone conditions , 1980 .

[15]  Huazeng Deng,et al.  Dual-beam ATI SAR measurements of surface currents in the nearshore ocean , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[16]  Bo Qiu,et al.  Impact of oceanic-scale interactions on the seasonal modulation of ocean dynamics by the atmosphere , 2014, Nature Communications.

[17]  Gurvan Madec,et al.  Modifications of gyre circulation by sub-mesoscale physics , 2010 .

[18]  W. Emery,et al.  An objective method for computing advective surface velocities from sequential infrared satellite images , 1986 .

[19]  Synthetic aperture radar measurements of ocean surface currents , 1982 .

[20]  Lee-Lueng Fu,et al.  Eddy dynamics from satellite altimetry , 2010 .

[21]  Patrice Klein,et al.  Dynamics of the Upper Oceanic Layers in Terms of Surface Quasigeostrophy Theory , 2006 .

[22]  Robert A. Shuchman,et al.  Interpretation of synthetic aperture radar measurements of ocean currents , 1983 .

[23]  Adrian P. Martin,et al.  Mechanisms for vertical nutrient transport within a North Atlantic mesoscale eddy , 2001 .

[24]  B. Chapron,et al.  Homogenization of scatterometer wind retrievals , 2017 .

[25]  L. Shemer,et al.  Estimates of currents in the nearshore ocean region using interferometric Synthetic Aperture Radar , 1993 .

[26]  Jakov V. Toporkov,et al.  Sea surface velocity vector retrieval using dual-beam interferometry: first demonstration , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Helga S. Huntley,et al.  Submesoscale dispersion in the vicinity of the Deepwater Horizon spill , 2014, Proceedings of the National Academy of Sciences.

[28]  Bertrand Chapron,et al.  On the Use of Doppler Shift for Sea Surface Wind Retrieval From SAR , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Nancy Nichols,et al.  Representativity error for temperature and humidity using the Met Office high‐resolution model † , 2014 .

[30]  Kathryn A. Kelly,et al.  An Inverse Model for Near-Surface Velocity from Infrared Images , 1989 .

[31]  R. Goldstein,et al.  Interferometric radar measurement of ocean surface currents , 1987, Nature.

[32]  G. Broström,et al.  Comparison of HF radar measurements with Eulerian and Lagrangian surface currents , 2015, Ocean Dynamics.

[33]  Adriano Camps,et al.  Dual-beam interferometry for ocean surface current vector mapping , 2001, IEEE Trans. Geosci. Remote. Sens..