Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data | Paper Citation Record

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This paper cites Precise weather parameter predictions for target regions via neural networks,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Precise weather parameter predictions for target regions via neural networks,

Reference 1

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This paper cites WRF Resources,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data WRF Resources,

Reference 2

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Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Unresolved cited work

Reference 3

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This paper cites Kentucky Mesonet,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Kentucky Mesonet,

Reference 4

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Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Mesonet,

Reference 5

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Observation c625e211-3898-47e2-ae9f-7f724be448f1 · outbound

This paper cites Long short-term memory,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Long short-term memory,

Reference 6

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This paper cites Generative adversarial nets,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Generative adversarial nets,

Reference 7

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This paper cites Deep neural networks for ultra- short-term wind forecasting,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Deep neural networks for ultra- short-term wind forecasting,

Reference 8

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Observation fd890aed-259f-4b17-92e4-c786a5f58502 · outbound

This paper cites Transfer learning for short-term wind speed prediction with deep neural networks,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Transfer learning for short-term wind speed prediction with deep neural networks,

Reference 9

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Observation 4fb43c4f-12bc-4f85-8179-48cb92495832 · outbound

This paper cites Predicting hurricane trajectories using a recurrent neural network,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Predicting hurricane trajectories using a recurrent neural network,

Reference 10

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This paper cites Data-driven weather forecast- ing models performance comparison for improving offshore wind tur- bine availability and maintenance,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Data-driven weather forecast- ing models performance comparison for improving offshore wind tur- bine availability and maintenance,

Reference 11

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This paper cites Deep learning for solar power forecasting—an approach using autoencoder and LSTM neural networks,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Deep learning for solar power forecasting—an approach using autoencoder and LSTM neural networks,

Reference 12

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Observation 61428a54-3c73-4f3f-9215-2a27039b422e · outbound

This paper cites Weather based photovoltaic energy generation prediction using LSTM networks,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Weather based photovoltaic energy generation prediction using LSTM networks,

Reference 13

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Observation 397177d8-84bc-4249-9257-947de2d3f31b · outbound

This paper cites Convolutional LSTM network: A machine learning approach for precipitation nowcasting,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Convolutional LSTM network: A machine learning approach for precipitation nowcasting,

Reference 14

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Observation e0f2939f-299a-4edc-9fd7-3a48d7e7cd38 · outbound

This paper cites Rainfall prediction: A deep learning approach,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Rainfall prediction: A deep learning approach,

Reference 15

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Observation 45b10ba7-2d70-48ce-b4c8-30f4ab30cbf7 · outbound

This paper cites Improving precipitation estimation using convolutional neural network,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Improving precipitation estimation using convolutional neural network,

Reference 16

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Observation 085f467b-b0d4-4abe-abaf-4623e868e6e8 · outbound

This paper cites Near real-time hurricane rainfall forecasting using convolutional neural network models with in- tegrated multi-satellite retrievals for gpm (imerg) product,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Near real-time hurricane rainfall forecasting using convolutional neural network models with in- tegrated multi-satellite retrievals for gpm (imerg) product,

Reference 17

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Observation c36fb570-84bb-4c85-8afc-3a103c9c88cc · outbound

This paper cites Evaluation of subseasonal-to-seasonal (s2s) precipitation forecast from the north amer- ican multi-model ensemble phase ii (nmme-2) over the contiguous us,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Evaluation of subseasonal-to-seasonal (s2s) precipitation forecast from the north amer- ican multi-model ensemble phase ii (nmme-2) over the contiguous us,

Reference 18

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Observation 8442ffc0-1c08-4c49-bd6b-58b317e1b989 · outbound

This paper cites Deep distributed fusion network for air quality prediction,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Deep distributed fusion network for air quality prediction,

Reference 19

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Observation 9540c6d9-0ee0-4897-afbb-255954b57dbc · outbound

This paper cites A deep hybrid model for weather forecasting,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data A deep hybrid model for weather forecasting,

Reference 20

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Observation 3db49bb2-8815-4b14-b9df-fb6c57f33ab1 · outbound

This paper cites Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere,

Reference 21

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This paper cites A large- scale comparison of artificial intelligence and data mining (ai&dm) techniques in simulating reservoir releases over the upper colorado region,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data A large- scale comparison of artificial intelligence and data mining (ai&dm) techniques in simulating reservoir releases over the upper colorado region,

Reference 22

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Observation 28983479-c13d-429e-a3b6-4d15364cbb72 · outbound

This paper cites Simulating hydropower discharge using multiple decision tree methods and a dynamical model merging technique,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Simulating hydropower discharge using multiple decision tree methods and a dynamical model merging technique,

Reference 23

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Observation e2ae87ee-cf09-4add-8d5a-a5e5e7e9849a · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 24

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Observation 15703577-66a9-432d-a67c-abcc7dec644f · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 25

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Observation 3557e777-e8d5-4312-8ae4-e2e1b7466d2f · outbound

This paper cites Interpretable weather forecasting for worldwide stations with a unified deep model,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Interpretable weather forecasting for worldwide stations with a unified deep model,

Reference 26

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Observation 3d8d2d11-5985-434c-aa70-bcb3dce5588e · outbound

This paper cites Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators,

Reference 27

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Observation f0b3c21d-f3ac-4949-882b-080914b253ac · outbound

This paper cites Skillful precipitation nowcasting using deep generative models of radar,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Skillful precipitation nowcasting using deep generative models of radar,

Reference 28

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Observation 147c9c8c-59dd-4a89-b9fc-42ad668f2207 · outbound

This paper cites MiMa codes and pertinent information,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data MiMa codes and pertinent information,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.194916Z

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Observation 19849335-b1f4-4b3a-bbda-2e6bba84deb4 · outbound

This paper cites Challenges and design choices for global weather and climate models based on machine learning,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Challenges and design choices for global weather and climate models based on machine learning,

Reference 30

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Observation d32bd7c9-fca7-4a00-8cd6-1715089bbd13 · outbound

This paper cites Toward data-driven weather and climate forecasting: Ap- proximating a simple general circulation model with deep learning,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Toward data-driven weather and climate forecasting: Ap- proximating a simple general circulation model with deep learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.162513Z

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Observation bfa02b74-f62e-4460-a7c4-9eef8dfbeb21 · outbound

This paper cites Can machines learn to predict weather? using deep learning to predict gridded 500-hpa geopotential height from historical weather data,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Can machines learn to predict weather? using deep learning to predict gridded 500-hpa geopotential height from historical weather data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.146432Z

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Observation 17a0e2c1-6ccb-4c1b-9ab8-130b071a8b3a · outbound

This paper cites Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.129916Z

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Observation a5035065-365d-466b-876a-1962d90d316d · outbound

This paper cites Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.113778Z

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Observation f17ad452-00d2-495f-99a9-47d5e57cb7df · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data U-net: Convolutional networks for biomedical image segmentation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.097579Z

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Observation e3f47d07-885f-444f-bebd-a05f1b004795 · outbound

This paper cites Improving nowcasting of convective development by incorporating polarimetric radar variables into a deep-learning model,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Improving nowcasting of convective development by incorporating polarimetric radar variables into a deep-learning model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.082279Z

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Observation 3306a82b-7487-4e4e-bcdb-d8674fbb169b · outbound

This paper cites Msdm v1. 0: A machine learning model for precipitation nowcasting over eastern china using multisource data,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Msdm v1. 0: A machine learning model for precipitation nowcasting over eastern china using multisource data,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.067140Z

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Observation a18e108a-5edc-47fa-9740-754d71845190 · outbound

This paper cites Micro-climate prediction-multi scale encoder-decoder based deep learning framework,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Micro-climate prediction-multi scale encoder-decoder based deep learning framework,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.050810Z

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Observation f48c48eb-beb8-4ca8-af09-83eee68e8840 · outbound

This paper cites Comprehensive transformer-based model architecture for real- world storm prediction,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Comprehensive transformer-based model architecture for real- world storm prediction,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.034283Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8c70b22-b6a3-45c8-8f33-7d157ccc4b07 · outbound

This paper cites Skillful nowcasting of extreme precipitation with nowcastnet,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Skillful nowcasting of extreme precipitation with nowcastnet,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:48.017408Z

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Observation 26c9622a-d733-4831-841f-2961fc26b781 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 41

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Observation 255a39ba-7135-4f93-808e-e2a2cdad557a · outbound

This paper cites Neural networks for postpro- cessing ensemble weather forecasts,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Neural networks for postpro- cessing ensemble weather forecasts,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.999948Z

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Observation 4684b65e-35af-48c0-b985-10ff75e156a8 · outbound

This paper cites Deep uncertainty quantification: A machine learning approach for weather forecasting,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Deep uncertainty quantification: A machine learning approach for weather forecasting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.983730Z

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Observation fce238c6-fd40-4d12-8187-acf40e3ca2d2 · outbound

This paper cites Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting

Reference 44

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Observation bb1ad9c2-47b9-48ed-95c2-f87efac4326b · outbound

This paper cites Deriving accurate surface meteorological states at arbitrary locations via observation-guided continous neural field modeling,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Deriving accurate surface meteorological states at arbitrary locations via observation-guided continous neural field modeling,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.966522Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55a29dc5-8eb3-46ee-b79c-71d954b80599 · outbound

This paper cites DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling

Reference 46

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This paper cites Deep Learning for Day Forecasts from Sparse Observations.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Deep Learning for Day Forecasts from Sparse Observations

Reference 47

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Observation f00a7307-964a-4ae5-8fcb-84dadeb4ae8c · outbound

This paper cites Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:36:47.578179Z

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Observation fa1bfac6-452c-4100-adcc-b90a965c5ff5 · outbound

This paper cites The High-Resolution Rapid Refresh (HRRR),.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data The High-Resolution Rapid Refresh (HRRR),

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.947907Z

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Observation d7325b51-764a-47c7-b5bb-5f3ecbd1d77a · outbound

This paper cites A description of the advanced research wrf model version 4,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data A description of the advanced research wrf model version 4,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.931129Z

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Observation a064939c-7430-4ac4-a53d-15086010cbad · outbound

This paper cites WRF Model Users’ Page,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data WRF Model Users’ Page,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.914277Z

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This paper cites A north american hourly assimilation and model forecast cycle: The rapid refresh,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data A north american hourly assimilation and model forecast cycle: The rapid refresh,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.898781Z

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This paper cites upcoming HRRRv2/RAPv3 imple @ NCEP - sched 8/23,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data upcoming HRRRv2/RAPv3 imple @ NCEP - sched 8/23,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.883268Z

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Observation d67fd8b8-f1a8-4d0d-b9da-7b32e694fe01 · outbound

This paper cites Attention is all you need,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Attention is all you need,

Reference 54

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Observation f10485af-7a70-4276-95b9-a7e6f65b174b · outbound

This paper cites Feature selection for machine learn- ing: comparing a correlation-based filter approach to the wrapper.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Feature selection for machine learn- ing: comparing a correlation-based filter approach to the wrapper

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.855522Z

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Observation 1b58601f-bcc3-462f-abbf-67cfff038fff · outbound

This paper cites Is mutual information adequate for feature selection in regression?.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Is mutual information adequate for feature selection in regression?

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.838337Z

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Observation e1110e1f-d432-46c8-8130-51e9bf0c62f3 · outbound

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Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Unresolved cited work

Reference 57

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Observation b89df815-1f77-465e-95be-26573cb88add · outbound

This paper cites Atmospheric temperature prediction using support vector machines,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Atmospheric temperature prediction using support vector machines,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.810505Z

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Observation 53214534-92e1-41cb-885f-b445ff63f12a · outbound

This paper cites Nowcasting: The promise of new technologies of communi- cation, modeling, and observation,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Nowcasting: The promise of new technologies of communi- cation, modeling, and observation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.793332Z

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Observation 3f1bd6ee-b7b3-4eb0-9a17-ffc7b58da5f6 · outbound

This paper cites Neural networks for postprocessing ensemble weather forecasts,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Neural networks for postprocessing ensemble weather forecasts,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.776759Z

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Observation 52e0f51d-4f1e-40dc-b8d4-b57756b5feb1 · outbound

This paper cites Ensemble methods for neural network-based weather forecasts,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Ensemble methods for neural network-based weather forecasts,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.760727Z

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Observation 84b36f6e-03ef-4bcf-99e9-bde0a5aadcce · outbound

This paper cites The ensemble approach to forecasting: A review and synthesis,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data The ensemble approach to forecasting: A review and synthesis,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.744495Z

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Observation 33c8614b-9259-448d-9abc-5b230ff09463 · outbound

This paper cites Computing the ensemble spread from de- terministic weather predictions using conditional generative adversarial networks,.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Computing the ensemble spread from de- terministic weather predictions using conditional generative adversarial networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.727824Z

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Observation d0af9b79-0c41-4b2f-8c2c-8850d2dfbd87 · outbound

This paper cites His current research interest includes high-performance computer systems, computer net- works, and parallel and distributed processing.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data His current research interest includes high-performance computer systems, computer net- works, and parallel and distributed processing

Reference 1986

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T17:36:47.661402Z

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Observation fbdb7b38-51f7-4e57-8637-7b55051d8c2a · outbound

This paper cites degree in the School of Computing and Informatics, Uni- versity of Louisiana at Lafayette.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data degree in the School of Computing and Informatics, Uni- versity of Louisiana at Lafayette

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.712022Z

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Observation 3bae49d5-88f3-4be5-8757-a351c7c43433 · outbound

This paper cites His research includes stochastic and ap- proximate computing, unary processing, in-memory computing, and hyperdimensional computing.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data His research includes stochastic and ap- proximate computing, unary processing, in-memory computing, and hyperdimensional computing

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.678263Z

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Observation e675cac1-3c94-4724-b2b0-06937943248c · outbound

This paper cites His research interests lie in weather fore- casting, radar analysis, and remote sensing.

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data His research interests lie in weather fore- casting, radar analysis, and remote sensing

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:36:47.694712Z

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