41 citations as recorded by crossref.

1. Short-Term Forecasting of Daily Pan Evaporation Using Corrected Numerical Weather Forecasts Products L. Yao et al.
2. Ensemble characteristics of an analog ensemble (AE) system for simultaneous prediction of multiple surface meteorological variables at local scale N. Batolar et al.
3. Elevation-driven biases in seasonal weather forecasts: Insights from the Alpine region S. Uttarwar et al.
4. Forecasting frost risk in forest plantations by the combination of spatial data and machine learning algorithms É. Diniz et al.
5. Sensitivity Studies for a Hybrid Numerical–Statistical Short-Term Wind and Gust Forecast at Three Locations in the Basque Country (Spain) S. Carreno-Madinabeitia et al.
6. Frost management in agriculture with advanced sensing, modeling, and artificial intelligent technologies: A review W. Hua et al.
7. Using fuzzified regression trees for statistical downscaling and regionalization of near surface temperatures in complex terrain L. Gerlitz
8. Quality of Local Scale Surface Weather Analogs in Two Climatologically and Geographically Distinct Mountainous Regions D. Singh & A. Kumar
9. Case-adaptive ensemble technique for met-ocean data restoration J. Araya-Lopez et al.
10. A comparative assessment of the ability of different types of machine learning in short-term predictions of nocturnal frosts E. Mesgari et al.
11. Spatial Downscaling of Daily Temperature Minima Using Machine Learning Methods and Application to Frost Forecasting in Two Alpine Valleys S. Bhakare et al.
12. Downscaling of daily extreme temperatures in the Yarlung Zangbo River Basin using machine learning techniques M. Ren et al.
13. Quality of local scale surface weather analogs over the north-west Himalaya (NWH), India D. Singh et al.
14. Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting R. de A. Araújo
15. A comparative study of convolutional neural network models for wind field downscaling K. Höhlein et al.
16. Statistical Downscaling of Wind Variability from Meteorological Fields R. Davy et al.
17. A hybrid cost-sensitive ensemble for heart disease prediction Q. Zhenya & Z. Zhang
18. A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area M. Deif et al.
19. Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region L. Zappa et al.
20. Temperature forecasting by deep learning methods B. Gong et al.
21. A statistical approach for post-processing residential building energy simulation output S. Valovcin et al.
22. Forecasting ramps of wind power production with numerical weather prediction ensembles A. Bossavy et al.
23. Developing climate model ensembles: A comparative case study J. Crawford et al.
24. Deep learning for downward longwave radiative flux forecasts in the Arctic D. Kim & H. Kim
25. A transformer neural network for predicting near‐surface temperature E. Alerskans et al.
26. An analytical comparison of four approaches to modelling the daily variability of solar irradiance using meteorological records J. Huang et al.
27. Prediction of Frost Events Using Machine Learning and IoT Sensing Devices A. Diedrichs et al.
28. Comparative validation of statistical and dynamical downscaling models on a dense grid in central Europe: temperature R. Huth et al.
29. Establishment of Dynamic Evolving Neural‐Fuzzy Inference System Model for Natural Air Temperature Prediction S. Bhagat et al.
30. Analysis of different existing measurement-based methods and a new approach for frost probability detection B. Omazić et al.
31. Spatial downscaling of precipitation using adaptable random forests X. He et al.
32. Forecasting spring frost events in agriculture using machine learning: A case study from southeastern Massachusetts, United States S. Bhatti et al.
33. Evaluation of the Weather Research and Forecasting model for two frost events T. Prabha & G. Hoogenboom
34. Statistical Downscaling of Temperature with the Random Forest Model B. Pang et al.
35. Downscaling of surface moisture flux and precipitation in the Ebro Valley (Spain) using analogues and analogues followed by random forests and multiple linear regression G. Ibarra-Berastegi et al.
36. Local temperature forecasts based on statistical post‐processing of numerical weather prediction data E. Alerskans & E. Kaas
37. Downscaling, bias correction, and spatial adjustment of extreme tropical cyclone rainfall in ERA5 using deep learning G. Ascenso et al.
38. Water Price Prediction for Increasing Market Efficiency Using Random Forest Regression: A Case Study in the Western United States Z. Xu et al.
39. Frost prediction using machine learning and deep neural network models C. Talsma et al.
40. Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas D. Cho et al.
41. Deep Learning Retrieval and Prediction of Summer Average Near-Surface Air Temperature in China with Vegetation Regionalization W. Lu et al.