Doppler radar and backscatter from the ocean:
- Jackson (RS 1981). An analysis of short pulse and dual frequency radar techniques for measuring ocean wave spectra from satellites.
- Jackson et al. (JGR 1985). Aircraft and Satellite Measurement of Ocean Wave Directional Spectra Using Scanning-Beam Microwave Radars.
- Vandemark et al. (JPO 2004). Ocean wave slope observations using radar backscatter and laser altimeters.
- Chapron et al. (JGR 2005). Direct measurements of ocean surface velocity from space: Interpretation and validation.
- Ngan et al. (IEEE GRSL 2007). Effect of long waves on Ku-band ocean radar backscatter at low incidence angles using TRMM and altimeter data.
- Johannessen et al. (GRL 2008). Direct ocean surface velocity measurements from space: Improved quantitative interpretation of Envisat ASAR observations.
- Mouche et al. (WRCM 2008). Predicted Doppler shifts induced by ocean surface wave displacements using asymptotic electromagnetic wave scattering theories.
- Walsh et al. (JPO 2008). The southern ocean waves experiment. Part III: Sea surface slope statistics and near-nadir remote sensing.
- Caudal et al. (JAOT 2014). KuROS: A New Airborne Ku-Band Doppler Radar for Observation of Surfaces.
- Saïd et al. (IEEE TGRS 2015). An Ocean Wind Doppler Model Based on the Generalized Curvature Ocean Surface Scattering Model.
- Nouguier et al. (IEEE GRSL 2016). Analysis of Dual-Frequency Ocean Backscatter Measurements at Ku- and Ka-Bands Using Near-Nadir Incidence GPM Radar Data.
- Rodriguez et al. (RS 2018). Estimating Ocean Vector Winds and Currents Using a Ka-band Pencil-Beam Doppler Scatterometer.
- Yurovsky et al. (IEEE TGRS 2018). Modulation of Ka-Band Doppler Radar Signals Backscattered From the Sea Surface.
Upper ocean currents:
- Rio and Hernandez (JGR 2003). High-frequency response of wind-driven currents measured by drifting buoys and altimetry over the world ocean.
- Rascle and Ardhuin (JGR 2009). Drift and mixing under the ocean surface revisited: Stratified conditions and model-data comparisons.
- Rio et al. (GRL 2014). Beyond GOCE for the ocean circulation estimate: Synergetic use of altimetry, gravimetry, and in situ data provides new insight into geostrophic and Ekman currents.
- Sutherland and Melville (JPO 2015). Field Measurements of Surface and Near-Surface Turbulence in the Presence of Breaking Waves.
- Rio et al. (JAOT 2016). Improving the Altimeter-Derived Surface Currents Using High-Resolution Sea Surface Temperature Data: A Feasability Study Based on Model Outputs.
- Sutherland et al. (JPO 2016). Enhanced Turbulence Associated with the Diurnal Jet in the Ocean Surface Boundary Layer.
- Laxague et al. (GRL 2018). Observations of Near‐Surface Current Shear Help Describe Oceanic Oil and Plastic Transport.
- Chelton et al. (PO 2018). Prospects for Future Satellite Estimation of Small-Scale Variability of Ocean Surface Velocity and Vorticity.
SKIM-specific papers and documents:
- Nouguier et al. (IEEE TGRS 2018). Sea Surface Kinematics From Near-Nadir Radar Measurements.
- Ardhuin et al. (OS 2018). Measuring currents, ice drift, and waves from space: The Sea surface KInematics Multiscale monitoring (SKIM) concept.
- Ardhuin et al. (OceanObs'19). SKIM, a candidate satellite mission exploring global ocean currents and waves.
Reference measurement systems:
- Niiler et al. (JPO 1995). Wind-Driven Motions in the Northeast Pacific as Measured by Lagrangian Drifters.
- Ivonin (JGR 2004). Validation of HF radar probing of the vertical shear of surface currents by acoustic Doppler current profiler measurements.
- Ardhuin et al. (JPO 2009). Observation and Estimation of Lagrangian, Stokes, and Eulerian Currents Induced by Wind and Waves at the Sea Surface.
- Kudryavtsev et al. (JGR 2017 Part 1). Sun glitter imagery of ocean surface waves. Part 1: Directional spectrum retrieval and validation.
- Kudryavtsev et al. (JGR 2017 Part 2). Sun glitter imagery of surface waves. Part 2: Waves transformation on ocean currents.
- Laurindo et al. (DSR 2017). An improved surface velocity climatology for the global ocean from drifter observations.
- Lumpkin et al. (ARMS 2017). Advances in the application of surface drifters.