HY2B is now the latest altimetry mission that provides global nadir significant wave height (SWH) and sea surface wind speed. The validation calibration of are carried out against National Data Buoy Center (NDBC) buoy observations from April 2019 to 2020. In general, altimeter measurements agree well with observation, scatter index 9.4% for SWH, 15.1% However, we observed a bias 0.14 m SWH −0.42 m/s A deep learning technique novelly applied Deep neural network (DNN) built trained correct...

Abstract Accurately predicting Antarctic sea ice on a subseasonal‐to‐seasonal scale remains challenge for current numerical models, partly due to imperfect model parameterizations and the extensive computational resources required. Here, we have developed lightweight machine learning model, Ice‐k‐nearest neighbor (kNN)‐South, predict concentration anomaly (SICA) up 90 days in advance. The prediction can be executed efficiently with limited resources. Compared persistence, climatology,...

Abstract High‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for downscaling is an effective approach to achieve this goal. However, lack physical process understanding in results inability accurately reconstruct fine‐scale structures after downscaling. In study, we propose a Terrain‐Constraint Wind Downscaling Model (TCWDM), lightweight model consisting module and terrain‐constraint module. By combining...

Abstract The accuracy of a wave model can be improved by assimilating an adequate number remotely sensed heights. Surface Waves Investigation and Monitoring (SWIM) Scatterometer (SCAT) instruments onboard China‐France Oceanic SATellite provide simultaneous observations waves wide swath wind fields. Based on these synchronous observations, method for retrieving the SWH over extended is developed using deep neural network approach. With combination from both SWIM SCAT, estimates achieve...

Synthetic-aperture radar (SAR) plays a crucial role in monitoring the fine structure of tropical cyclones, but its effectiveness is constrained by limitations such as signal degradation and saturation. To address this challenge, we proposed transfer learning-based generative adversarial network (GAN) framework with dilated convolution attention mechanism for reconstructing inner-core high winds from SAR images. We have employed principles learning to adapt pre-trained models developed HWRF...

Abstract This paper focuses on a comprehensive comparison of the European Centre for Medium-Range Weather Forecasts (ECMWF) significant wave height (SWH) forecasts with buoy data in China Sea, and analysis accuracy characteristics varying related variables (SWH, water depth, distance from shore) different scenarios (each month, sea area, typhoon- cold air activity–induced waves). is first time that observations Chinese Ocean Monitoring Network have been used to verify ECMWF Sea. Two years’...

Synthetic Aperture Radar (SAR) imagery plays an important role in observing tropical cyclones (TCs). However, the C-band attenuation caused by rain bands and problem of signal saturation at high wind speeds make it impossible to retrieve fine structure TCs effectively. In this paper, a dual-level contextual attention generative adversarial network (DeCA-GAN) is tailored for reconstructing SAR TCs. The DeCA-GAN follows encoder–neck–decoder architecture, which works well reconstruction large...

The surface waves investigation and monitoring (SWIM) instrument onboard the China–France Oceanography Satellite (CFOSAT) can retrieve directional wave spectra with a wavelength range of 70–500 m. This study aims to validate partitioned integrated parameters (PIWPs) from SWIM, including significant height (PSWH), peak period (PPWP), direction (PPWD), against those National Data Buoy Center (NDBC) buoys. With quasi-simultaneous two NDBC buoys 13 km away each other near Hawaii, methods...

Abstract The wave numerical simulation accuracy can be improved by assimilating remotely sensed observations. In addition to the nadir, significant height (SWH), Surface Waves Investigation and Monitoring (SWIM) onboard Chinese‐French Oceanic SATellite (CFOSAT) provides two additional columns of spectra observations within wavelengths from 70 500 m. A model based on a deep neural network (DNN) is developed retrieve total SWH partially observed SWIM. DNN uses parameters both SWIM nearest...

Offshore wind speed is a critical factor that influences various aspects of human life, and accurate forecasting utmost importance for the efficient utilization offshore resources. In this paper, we present novel deep-learning-based model multisite along US East Coast. The proposed trained using collected 2018–2020 National Data Buoy Center buoy data tested 2021–2022 data. By inputting historical into model, simultaneous results can be obtained multiple sites through embedding layer, feature...

Haiyang-2 scatterometers (HY-2A/B/C/D) have limitations in high wind speed retrieval due to the complexity of remote sensing mechanism and influence rainfall on radar cross section under conditions tropical cyclones. In this study, we focus evaluation Chinese scatterometer operational products from HY-2B/C/D over period July 2019 December 2021. are collocated with SMAP (Soil Moisture Active Passive) L-band radiometer remotely sensed measurements. The results show that underestimation occurs...

The application of internal wave recognition to the buoy system is great significance enhance understanding ocean phenomenon and provide more accurate data information support. This article proposes an automatic algorithm based on convolutional neural networks (CNN), which used in tight-profile intelligent system. sea profile temperature were collected using Bailong Andaman Sea 2018. CNN network structure applied feature compression data, reducing input amount network, thereby overall...

Consistency between national wave buoy networks is extremely important for climate studies and verification of global operational forecasting systems; however, it insufficiently investigated. The validation altimeter significant heights (SWHs) with the China, Europe National Data Buoy Center (NDBC) show divergence in assessments. This reveals a negative bias larger root mean square error scatter index from Chinese network than European NDBC networks. A remote cross-calibration method...

The potential mymargin for improving storm surge simulation is demonstrated by using winds derived from ground-based Global Navigation Satellite System Reflectometry (GNSS-R) that uses BeiDou geostationary Earth orbit (GEO) satellite signals. We reconstruct wind fields blending GNSS-R coastal with the European Center Median Weather Forecasts (ECMWF) reanalysis product. reconstructed agree well weather station data collected at Yangjiang in Guangdong, China. ECMWF and are used to force a...

The ensemble optimal interpolation method was used in this study to conduct an examination of the assimilations significant wave height (SWH) data from HY-2A satellite altimeter based on WAVEWATCH III global ocean model. results suggested that using SWH played a positive role enhancing accuracy simulations and could effectively improve deviations simulation processes. root mean square errors NDBC buoy inspections were improved by 7 44% after assimilation, those China’s offshore 3 11%...

The Arctic sea ice plays a significant role in climate-related processes and has considerable effect on humans, however accurately predicting the concentration is still challenging. Recently, with rise development of artificial intelligence, big data technology, machine learning been widely used field prediction. In this study, we utilized dataset obtained from satellite remote sensing applied k-nearest-neighbors (Ice-kNN) model to forecast summer extent 122 days Based physical...

The article takes world politics and the new globalization as its research subject, object of study is characteristics China's development initiatives for globalization. With spread "counterglobalization" impact coronavirus epidemic in recent years, wave counterglobalization a tool developed countries Europe United States to maintain their hegemonic position. In face changes international economic political landscape, China, an agent order, must respond adjust all aspects domestic foreign...

Based on the WAVEWATCH III wave model, China’s National Marine Environmental Forecasting Center has developed an operational global ocean forecasting system that covers Arctic region. In this study, in situ buoy observations and satellite remote sensing data were used to perform a detailed evaluation of system’s results for 2022, with focus offshore waters, so as comprehensively understand model’s performance. The study showed following: coastal model had high accuracy significant heights....