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Journal ArticleDOI

Sea State Impacts on Wind Speed Retrievals From C-Band Radars

TLDR
Analysis of data from advanced scatterometer (ASCAT) aboard MetOp-A and the advanced synthetic aperture radar (ASAR) aboard Envisat against the in situ buoy wind speeds finds that the sea state dominates the wind speed errors and these trends increase with the significant wave height.
Abstract
Scatterometers, a proven technology, provide ocean wind speeds and directions that are essential in operational forecasts, monitoring of the climate, and scientific applications. While the missions and geophysical model functions are performing well, challenges remain. We analyze data from advanced scatterometer (ASCAT) aboard MetOp-A and the advanced synthetic aperture radar (ASAR) aboard Envisat, both of which operate in the C-band, against the in situ buoy wind speeds. We observe large variability in the wind speed residuals. Through analysis of these residuals, we find that they are related to sea state effects and atmospheric stability. The sea state dependence created by low-frequency swells is more pronounced for the lower incidence angles in ASCAT. In ASAR with a fixed angle of $23^{\circ }$ , the sea state dominates the wind speed errors and these trends increase with the significant wave height. We observe that wind speeds from ASAR and ASCAT have a close resemblance, which helps us to extrapolate our findings. The synergy between the two technologies can be further exploited to improve wind speed retrievals. Future scatterometer missions, such as the next MetOp, will operate with the wider range of incidence angles (including lower angles) to increase their coverage together, have higher spatial resolution, and obtain measurements closer to the coasts. In these cases, high-resolution SAR data can aide in the understanding of the radar response.

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Citations
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Journal ArticleDOI

Scientific Developments and the EPS-SG Scatterometer

TL;DR: The SCA instrument innovations are well set to provide timely benefits in all the main application areas of the scatterometer and can be expected to contribute to new and more sophisticated meteorological, oceanographic, land, sea ice, and climate services in the forthcoming SCA era.
Journal ArticleDOI

ERAstar: A High-Resolution Ocean Forcing Product

TL;DR: A new forcing product, ERA*, is developed by means of a geolocated scatterometer-based correction applied to the European Centre for Medium-range Weather Forecasts (ECMWF) reanalysis or ERA-interim (hereafter referred to as ERAi), which successfully corrects for local wind vector biases present in the ERAi output globally.
Journal ArticleDOI

Retrieval of Sea Surface Wind Speeds from Gaofen-3 Full Polarimetric Data

TL;DR: In this article, the sea surface wind speed (SSWS) retrieval from Gaofen-3 (GF-3) quad-polarization stripmap (QPS) data in vertical-vertical (VV), horizontal-horizontal (HH), and vertical-orthogonal (VH) polarizations is investigated in detail based on 3170 scenes acquired from October 2016 to May 2018.
Journal ArticleDOI

Calibration of the Copolarized Backscattering Measurements From Gaofen-3 Synthetic Aperture Radar Wave Mode Imagery

TL;DR: Verification against the independent scatterometer-derived winds shows that after NWP-based ocean recalibration, the accuracy of wind speed retrieval from GF-3 wave mode imagery could reach the wind speed estimation performance using the state of theart of SAR data.
Journal ArticleDOI

Improving Altimeter Wind Speed Retrievals Using Ocean Wave Parameters

TL;DR: Major wave heights and mean wave periods are effective in correcting U10 retrievals, probably due to the tilting modulation of long-waves on the sea surface, and the atmospheric instability can lead to errors on extrapolated buoy U10.
References
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Journal ArticleDOI

Cross‐polarization geophysical model function for C‐band radar backscattering from the ocean surface and wind speed retrieval

TL;DR: In this paper, a cross-pol C-band radar backscattering geophysical model function (GMF) with incidence angle dependence for the full wind speed range in the available data sets (up to 56 m/s) was derived from RADARSAT-2 (R2) dual-polarization (dual-pol) ScanSAR modes with 300 and 500 km swaths.
Journal ArticleDOI

Can synthetic aperture radars be used to estimate hurricane force winds

TL;DR: In this paper, the authors compare wind fields retrieved from a RADARSAT-I synthetic aperture radar (SAR) image acquired over Hurricane Ivan on September 10, 2004 using the C-band geophysical model functions Cmod4 and its newest version Cmod5.
Journal ArticleDOI

The Atmospheric Boundary Layer during Swell: A Field Study and Interpretation of the Turbulent Kinetic Energy Budget for High Wave Ages

TL;DR: In this article, the turbulent kinetic energy (TKE) budget for five slightly unstable cases with swell has been performed based on measurements of mechanical production, buoyancy production, turbulent transport, and dissipation at five levels over the sea, from 2.5 to 26 m.
Journal ArticleDOI

Estimating wave orbital velocity through the azimuth cutoff from space‐borne satellites

TL;DR: In this article, a scale based on the fitting of a Gaussian function to the radar cross section azimuth spectrum is defined, which provides additional sea state information related to the root mean square surface orbital wave velocity.
Journal ArticleDOI

Effect of Long Waves on Ku-Band Ocean Radar Backscatter at Low Incidence Angles Using TRMM and Altimeter Data

TL;DR: A large ocean satellite data set is used to document relationships between Ku-band radar backscatter of the sea surface, near-surface wind speed (U), and ocean wave height (SWH) to assess hypotheses developed in past theoretical and field studies.
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