Acquisition of the Wide Swath Significant Wave Height from HY-2C through Deep Learning

Abstract

Significant wave height (SWH) is of great importance in industries such as ocean engineering, marine resource development, shipping and transportation. Haiyang-2C (HY-2C), the second operational satellite in China’s ocean dynamics exploration series, can provide all-weather, all-day, global observations of wave height, wind, and temperature. An altimeter can only measure the nadir wave height and other information, and a scatterometer can obtain the wind field with a wide swath. In this paper, a deep learning approach is applied to produce wide swath SWH data through the wind field using a scatterometer and the nadir wave height taken from an altimeter. Two test sets, 1-month data at 6 min intervals and 1-day data with an interval of 10 s, are fed into the trained model. Experiments indicate that the extending nadir SWH yields using a real-time wide swath grid product along a track, which can support oceanographic study, is superior for taking the swell characteristics of ERA5 into account as the input of the wide swath SWH model. In conclusion, the results demonstrate the effectiveness and feasibility of the wide swath SWH model.

Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis

“…In addition, the Arctic and Tibetan plateaus are hot issues, which primarily involve the study of sea ice, snow, glaciers, and Tibetan lakes and adopt the data of CryoSat-2 and ICESat-2 [124][125][126][127][128]. Finally, we detected a surging of diverse deep learning topics covering nearly all possibilities of satellite altimetry, such as SWH prediction, SSH reconstruction, eddy detection, 3D ocean state estimation, eddy heat flux estimation, and surface current derivation [129][130][131][132][133][134][135][136][137]. The majority of current research trends, according to the analysis, are related to innovative altimetry technologies (such as SAR altimetry and interferometer altimetry) and cross-disciplines (such as the computer and information science of deep learning technology).…”

Validation of Multisource Altimeter SWH Measurements for Climate Data Analysis in China’s Offshore Waters

“…The Haiyang-2C (HY-2C) satellite is the third satellite in the HY-2 series. All the payloads onboard HY-2C are same as those onboard HY-2B, except the radiometer [28]. Unlike HY-2B, which has a sun-synchronous orbit, HY-2C is in a non-sun-synchronous orbit with inclination of 66 • and a 10 d repeat cycle [29].…”

Significant Wave Height Forecasting Based on EMD-TimesNet Networks

“…The recent surge in machine learning has significantly contributed to the rapid development of various fields [11,12]. With their benefits of strong nonlinear learning capabilities, low computing cost, and quick calculation speed, SWH prediction methods based on machine learning have garnered significant attention from researchers in recent years [13,14]. Deep learning methods require only the identification of factors related to the desired physical quantities.…”