Research graph
References from Sea surface wind fields downscaling Using SwinIR and a two-stage learning approach. Local targets link to admitted publications; unresolved targets remain external evidence.
Statistical downscaling of SEVIRI land surface temperature to WRF near-surface air temperature using a deep learning model
10.3390/rs15184447 · 2023 · External reference
Influence of surface water on coarse resolution C-band backscatter: implications for freeze/thaw retrieval from scatterometer data
10.1016/j.rse.2020.111911 · 2020 · External reference
A weather-type statistical downscaling framework for ocean wave climate
10.1002/2014jc010141 · 2015 · External reference
Class-balanced loss based on effective number of samples
2019 · External reference
PEST: Physics-enhanced Swin Transformer for 3D turbulence simulation
2026 · External reference
The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: a follow on for European wind scatterometers
10.5589/m02-035 · 2002 · External reference
Offshore wind power resource assessment using Oceansat-2 scatterometer data at a regional scale
10.1016/j.apenergy.2016.05.046 · 2016 · External reference
A new sea surface wind speed product derived from re-calibrated FengYun-3 MWRI data
10.1080/17538947.2025.2563717 · 2025 · External reference
Assessment of China's offshore wind resources based on the integration of multiple satellite data and meteorological data
10.3390/rs11222680 · 2019 · External reference
GNSS-R wind speed retrieval of sea surface based on particle swarm optimization algorithm
10.1109/tgrs.2021.3082916 · 2022 · External reference
Learning from imbalanced data
10.1109/tkde.2008.239 · 2009 · External reference
ERA5 hourly data on pressure levels from 1940 to present
10.24381/cds.bd0915c6 · 2023 · External reference
A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China
10.1016/j.rse.2011.06.009 · 2011 · External reference
Retrieval of sea surface wind speed from spaceborne SAR over the Arctic marginal ice zone with a neural network
10.3390/rs12203291 · 2020 · External reference
Tropical cyclone morphology from spaceborne synthetic aperture radar
10.1175/bams-d-11-00211.1 · 2013 · External reference
Sea surface imprints of coastal mountain lee waves imaged by synthetic aperture radar
10.1029/2010jc006643 · 2011 · External reference
SwinIR: image restoration using Swin transformer
10.1109/iccvw54120.2021.00210 · 2021 · External reference
A spatial downscaling approach for enhanced accuracy in high wind speed estimation using hybrid attention transformer
10.1007/s13351-025-4105-6 · 2025 · External reference
Improvement of the data assimilation scheme for sea surface wind products
2021 · External reference
Rapid acceleration of Arctic near-surface wind speed in a warming climate
10.1029/2024gl109385 · 2024 · External reference
A systematic comparison of the effect of polarization ratio models on sea surface wind retrieval from C-band synthetic aperture radar
10.1109/jstars.2013.2242848 · 2013 · External reference
10.1029/2024jh000375 · 2024 · Admitted local publication
Fine scale surface climate in complex terrain using machine learning
10.1002/joc.6617 · 2021 · External reference
Can we see the wind? Statistical downscaling of historical sea surface winds in the subarctic northeast Pacific
10.1175/2011jcli4089.1 · 2012 · External reference
Comparison of SAR-derived wind speed with model predictions and ocean buoy measurements
10.1109/36.974994 · 2001 · External reference
NCEP GDAS/FNL 0.25 degree global tropospheric analyses and forecast grids
10.5065/d65q4t4z · 2015 · External reference
Wind speed downscaling of the WRF model at subkilometer scale in complex terrain for wind power applications
10.1109/jstars.2024.3386629 · 2024 · External reference
FourCastNet: a global data-driven high-resolution weather model using adaptive Fourier neural operators
2022 · External reference
Transformer based super-resolution downscaling for regional reanalysis: full domain vs tiling approaches
2024 · External reference
The weather research and forecasting model: overview, system efforts, and future directions
10.1175/bams-d-15-00308.1 · 2017 · External reference
Empirical downscaling of wind speed probability distributions
10.1029/2005jd005899 · 2005 · External reference
Statistical downscaling of precipitation using machine learning techniques
10.1016/j.atmosres.2018.05.022 · 2018 · External reference
Wind power assessment based on super-resolution and downscaling – a comparison of deep learning methods
2024 · External reference
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
2016 · External reference
Distributions and correlation properties of offshore wind speeds and wind speed increments
10.1007/s10546-024-00889-3 · 2024 · External reference
Nested mesoscale large-eddy simulations with WRF: performance in real test cases
10.1175/jhm-d-11-048.1 · 2012 · External reference
Statistical downscaling and dynamical downscaling of regional climate in China: present climate evaluations and future climate projections
10.1002/2015jd023977 · 2016 · External reference
A novel machine learning-transfer function approach for estimating power absorption in floating wave energy converters
10.1016/j.renene.2025.125011 · 2026 · External reference
Two-stage fine-tuning with ChatGPT data augmentation for learning class-imbalanced data
10.1016/j.neucom.2024.127801 · 2024 · External reference
Generating high resolution climate change projections through single image super-resolution
2018 · External reference
Sensitivities in wind driven spectral wave modelling for the Belgian coast
10.3390/jmse10081138 · 2022 · External reference
Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources
10.1016/j.rser.2014.09.042 · 2015 · External reference
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
10.1016/j.engappai.2024.109167 · 2024 · External reference
Invertible image rescaling
10.1007/978-3-030-58452-8_8 · 2020 · External reference
A downscaling–merging scheme for improving daily spatial precipitation estimates based on random forest and cokriging
10.3390/rs13112040 · 2021 · External reference
Machine learning prediction of wave characteristics: comparison between semi-empirical approaches and DT model
10.1016/j.oceaneng.2023.115583 · 2023 · External reference
Machine learning as a downscaling approach for prediction of wind characteristics under future climate change scenarios
10.1155/2022/8451812 · 2022 · External reference
East asia reanalysis system (EARS)
10.5194/essd-15-2329-2023 · 2023 · External reference
Terrain-guided flatten memory network for deep spatial wind downscaling
10.1109/jstars.2022.3218016 · 2022 · External reference
HiCPC: a new 10-km CMIP6 downscaled daily climate projections over China
10.1038/s41597-024-03982-x · 2024 · External reference
Spatial downscaling of satellite sea surface wind with soft-sharing multi-task learning
10.3390/rs17040587 · 2025 · External reference
SAR based sea surface complex wind fields estimation: an analysis over the northern Adriatic Sea
10.3390/rs15082074 · 2023 · External reference
Potential tropical cyclone movement and intensification factors imaged by spaceborne SAR
10.1038/s41612-025-01162-1 · 2025 · External reference
Assessing vessel transportation delays affected by tropical cyclones using AIS data and a Bayesian network: a case study of Veronica in northwestern Australia
10.1016/j.oceaneng.2024.118385 · 2024 · External reference
