A Global Sea State Dataset from Spaceborne Synthetic Aperture Radar Wave Mode Data

Li, Xiao-Ming; Huang, Bingqing

doi:10.20944/preprints202001.0200.v1

Cited by 4 publications

(4 citation statements)

References 21 publications

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“…This work complies with the AGU data policy. The radar data used in this paper is available at Li (2023b). The LMA data used in this paper is available at Li (2023a).…”

Section: Data Availability Statementmentioning

confidence: 99%

Analysis of the Relationship Between the Morphological Characteristics of Lightning Channels and Turbulent Dynamics Based on the Localization of VHF Radiation Sources

Li,

Zhang,

Zhang

et al. 2024

Geophysical Research Letters

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Lightning channel morphology depends on the thunderstorm cloud charge structure, which in turn is influenced by the thunderstorm dynamics. In this paper, based on three‐dimensional radiation source localization data from the Lightning Mapping Array and radar‐based data, our analysis shows that the overall morphology and detailed morphology of the lightning channel correspond to different eddy dissipation rate (EDR) characteristics. Lightning with complex channel morphology occurs in regions with large EDRs. In single lightning events, channels that extend directly within a certain height range without significant bifurcation and turning tend to propagate in the direction of decreasing EDRs, while channel bifurcations and turns usually occur in regions with large radial velocity gradients and large EDRs. This study shows the relationship between channel morphology and thunderstorm dynamics and provides a new method for the direct application of channel‐level localization data to understand thunderstorm dynamics characteristics.

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“…This work complies with the AGU data policy. The radar data used in this paper is available at Li (2023b). The LMA data used in this paper is available at Li (2023a).…”

Section: Data Availability Statementmentioning

confidence: 99%

Analysis of the Relationship Between the Morphological Characteristics of Lightning Channels and Turbulent Dynamics Based on the Localization of VHF Radiation Sources

Li,

Zhang,

Zhang

et al. 2024

Geophysical Research Letters

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“…CWAVE-type empirical models have been developed for ERS/SAR, EN-VISAT/ASAR and S1/SAR WV data. Recently, we have finished processing the ten-year WV data set of ENVISAT/ASAR to obtain the sea state parameters based on the CWAVE_ENV model, and the results suggest good agreements with in situ buoy data and RA data (Li & Huang, 2020). Therefore, we also chose parameters similar to those used in CWAVEtype algorithms to retrieve SWH by the S1 data: the mean NRCS (denoted (3)…”

Section: Extraction Of S1 Image Parametersmentioning

confidence: 99%

Retrieval of Ocean Wave Heights From Spaceborne SAR in the Arctic Ocean With a Neural Network

Huang

2021

JGR Oceans

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Prior to the launch of the Chinese French Oceanic Satellite (CFOSAT) with its onboard Surface Waves Investigation and Monitoring (SWIM) sensor, the only sensor capable of imaging ocean waves in two dimensions from space was the spaceborne synthetic aperture radar (SAR), which provides images with high spatial resolution. The SAR imaging mechanism of ocean waves is complex which is generally explained by three modulations: tilt modulation, hydrodynamic modulation and velocity bunching (Alpers et al., 1981; Valenzuela, 1978). While tilt and hydrodynamic modulations are also shared by real-aperture radar as the dominant imaging mechanisms of ocean waves, velocity bunching is unique for SAR to image ocean waves. The moving scatterer of water particles with a velocity either toward or away from a moving SAR sensor, causes an azimuthal shift in SAR images. In addition, velocity bunching in the SAR resolution cell leads to an azimuth cutoff , that is, the minimum SAR-detectable wavelength of ocean waves traveling in the azimuth direction. Therefore, the nonlinearity of SAR ocean wave imaging complicates their retrieval. In the following, we briefly summarize the existing methods used to retrieve ocean wave information in terms of both two-dimensional spectra and integral wave parameters. The Max Planck Institute (MPI) scheme developed by Hasselmann and Hasselmann (1991) and Hasselmann et al. (1996) is a widely used method to retrieve two-dimensional ocean wave spectra from spaceborne

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“…All the NC records in the same year are compressed to a single file with the file extension ".tar.gz"; therefore, there are together 11 GNU zip files corresponding to the data from the year 2002 to 2012. They have been uploaded to the public repository Sea Scientific open data publication (SEANOE, https://www.seanoe.org) with full free access 35 .…”

Section: Data Recordsmentioning

confidence: 99%

“…The calibrated ASAR SWH (applying Eq. (7)) is also compared with the JASON-1 calibrated SWH 35 (Calibrated_JASONI_Hs), as shown in Fig. 7(b).…”

Section: Technical Validationmentioning

confidence: 99%

A global sea state dataset from spaceborne synthetic aperture radar wave mode data

Huang

2020

Sci Data

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This dataset consists of integral sea state parameters of significant wave height (SWH) and mean wave period (zero-upcrossing mean wave period, MWP) data derived from the advanced synthetic aperture radar (ASAR) onboard the ENVISAT satellite over its full life cycle (2002-2012) covering the global ocean. Both parameters are calibrated and validated against buoy data. a cross-validation between the ASAR SWH and radar altimeter (RA) data is also performed to ensure that the SAR-derived wave height data are of the same quality as the RA data. These data are stored in the standard NetCDF format, which are produced for each ASAR wave mode Level1B data provided by the European Space Agency. This is the first time that a full sea state product in terms of both the SWH and MWP has been derived from spaceborne SAR data over the global ocean for a decadal temporal scale.

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A Global Sea State Dataset from Spaceborne Synthetic Aperture Radar Wave Mode Data

Cited by 4 publications

References 21 publications

Analysis of the Relationship Between the Morphological Characteristics of Lightning Channels and Turbulent Dynamics Based on the Localization of VHF Radiation Sources

Analysis of the Relationship Between the Morphological Characteristics of Lightning Channels and Turbulent Dynamics Based on the Localization of VHF Radiation Sources

Retrieval of Ocean Wave Heights From Spaceborne SAR in the Arctic Ocean With a Neural Network

A global sea state dataset from spaceborne synthetic aperture radar wave mode data

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