32 papers in the archive.
FuXi Weather is an ML system that assimilates multi-satellite observations and produces 10-day global forecasts, outperforming ECMWF HRES in observation-sparse regions like central Africa.
Data assimilationChina Meteorological Administration (CMA)Fudan University (FuXi)Nanjing University of Information Science & Technology (NUIST)Tsinghua University (NowcastNet)University of California, Los Angeles (UCLA)
Couples the FengWu forecast model with 4D-Var using autodifferentiation instead of adjoints, producing cyclic analyses from simulated observations.
Data assimilationShanghai Artificial Intelligence LaboratoryTsinghua University (NowcastNet)
Adaptive MRMR feature selection with conditional mutual information builds an optimal graph for GCN wind-farm cluster power forecasts from NWP data, cutting cost while improving accuracy.
Ensemble of 32-layer residual CNNs emulates superparameterized convection and clouds, runs stably for 5 years in CAM5, and generalizes to a +4K warmer climate.
Hybrid physics-ML & parameterizationTsinghua University (NowcastNet)
DABU-Net, a data-augmented deep learning correction of GFS wintertime precipitation over southeastern China, cuts RMSE by 19–25% at 24–72 h.
Post-processing & calibrationTsinghua University (NowcastNet)Nanjing University of Information Science & Technology (NUIST)
Ensemble learning with focal loss improves 60-hour sea fog forecasts over WRF and NOAA FSL baselines off the Yangtze estuary, raising detection and cutting false alarms.
Post-processing & calibrationTsinghua University (NowcastNet)
NowcastNet unifies advection physics with learned conditional generation for extreme precipitation nowcasts up to 3 hours, ranked first by meteorologists in 71% of cases.
NowcastingChina Meteorological Administration (CMA)Tsinghua University (NowcastNet)University of California, Berkeley
Attentional GAN with a spatial variability loss reduces the blurry effect in radar nowcasts and outperforms competing models on the test set and storm cases.
NowcastingTsinghua University (NowcastNet)Colorado State University (incl. CIRA)Institute of Atmospheric Physics, Chinese Academy of SciencesChina Meteorological Administration (CMA)
Transformer detects concentric eyewalls in passive microwave imagery, producing a 30-year global dataset of 377 events with 92.9% precision and recall.
Observations & remote sensingTsinghua University (NowcastNet)
Spatiotemporal deep network for multi-horizon wind prediction; the abstract is missing, so architecture and results are unverified.
SeaUnet, a fully convolutional network trained on CMIP TC tracks, gives skillful seasonal forecasts of Western North Pacific typhoon track density up to four months ahead.
Sub-seasonal to seasonalTsinghua University (NowcastNet)University of ReadingChina Meteorological Administration (CMA)
A residual network with automatically selected precursors predicts ENSO up to 8 months ahead, with a 6-month correlation of 0.82 beating the multi-model mean of 0.70.
Sub-seasonal to seasonalTsinghua University (NowcastNet)Nanjing University of Information Science & Technology (NUIST)Institute of Atmospheric Physics, Chinese Academy of Sciences
Deep neural network whitecap-fraction parameterization for Earth system models reduces error by about 15% versus a recent scheme and ranks drivers by permutation importance.
Hybrid physics-ML & parameterizationTsinghua University (NowcastNet)
Applies neural networks to social-media data to assess typhoon disaster impacts; the abstract is missing, so details are inferred from the title.
SVM and MLP downscale GCM output to daily precipitation at 10 Shenzhen stations, outperforming SDSM and projecting ensemble precipitation trends to 2100.
Downscaling & super-resolutionTsinghua University (NowcastNet)
NeuroClim provides a hybrid climate modeling platform, open dataset, and stability and approximation metrics for learning climate simulation components.
Benchmarks, datasets & evaluationTsinghua University (NowcastNet)code
Residual neural networks replace moist physics and radiation in a realistic GCM, giving stable simulations over 10+ years with improved tropical land precipitation.
Hybrid physics-ML & parameterizationTsinghua University (NowcastNet)
A deep learning model pre-trained on GCM hindcasts and transfer-learned on ERA5 raises seasonal China precipitation correlation by 0.10-0.13 over raw GCM output; used operationally for guidance.
Sub-seasonal to seasonalTsinghua University (NowcastNet)China Meteorological Administration (CMA)
Uses a MaxEnt model on environmental variables to project a significant decline in future tropical cyclone genesis across CMIP6 SSP scenarios, with a nonlinear link to potential intensity.
Extremes & hazardsTsinghua University (NowcastNet)China Meteorological Administration (CMA)
An LSTM-based health monitoring framework for CINRAD-SA weather radar flags early faults from deviations between predicted and measured monitoring parameters, reducing false alarms.
Observations & remote sensingTsinghua University (NowcastNet)China Meteorological Administration (CMA)
Proposes MMFSDI, a multi-model drought index built with forecastable component analysis and Gaussian mixtures over 23 CMIP6 models on the Tibetan Plateau, consistent with SPI.
FY4-SR-Net uses transfer learning to super-resolve FY4 visible satellite images from 4 km to 1 km, cutting RMSE by 16.12% versus bicubic interpolation.
Observations & remote sensingTsinghua University (NowcastNet)
Graph neural network fuses wind farm power history with NWP inputs and multi-task learning to predict ultra-short-term power for all farms in a cluster.
Multi-GRU-RCN model forecasts intra-hour cloud motion from FengYun-2G infrared imagery, outperforming optical flow, ConvLSTM and GRU baselines.
ResCu, a residual CNN trained on SPCAM output, parameterizes moist convection and clouds with moist-static-energy conservation, outperforming conventional schemes in single-column tests.
Hybrid physics-ML & parameterizationTsinghua University (NowcastNet)
K-means station clustering and decision-tree transfer learning post-process operational temperature forecasts at 301 Chinese stations, cutting 7-day RMSE by up to 39.4%.
Post-processing & calibrationTsinghua University (NowcastNet)
K-means station clustering and decision-tree transfer learning post-process operational temperature forecasts at 301 Chinese stations, cutting 7-day RMSE by up to 39.4%.
Post-processing & calibrationTsinghua University (NowcastNet)
Dynamic clustered Bayesian model averaging merges four satellite precipitation products over Pakistan, outperforming each input product against gauges.
Observations & remote sensingTsinghua University (NowcastNet)
AdaBoost classifies whether mesoscale convective systems become tropical cyclones, reaching 97.2% F1 at 6 h lead and beating the genesis potential index.
CNN-LSTM statistical downscaling of ECMWF precipitation over a monsoon basin beats quantile mapping and SVM, with gains up to two-week lead times.
Downscaling & super-resolutionTsinghua University (NowcastNet)
A deep neural network retrieves high-latitude rain and snow from GMI and MODIS data, largely outperforming GPROF on snowfall and reducing rain underestimation.
Observations & remote sensingNASACalifornia Institute of Technology (Caltech)Tsinghua University (NowcastNet)University of California, Los Angeles (UCLA)University of Oklahoma (AI2ES)
Maps Tibetan Plateau permafrost at 1 km using logistic regression, SVM and random forest, projecting 25.9% to 43.9% permafrost loss by the 2040s and 2090s under RCP4.5.
