An Online Interactive Experiment Management System for CMA Numerical Weather Prediction Models by Wang Bin, Hu Jiangkai, Cui Yingjie, Zhou Bin, Sun Jing, Zhao Chunyan, Lou Panxing

“…The system has been operational since 2023 and has facilitated the coordinated development of numerical weather forecasting at both national and provincial levels across various scenarios. …”
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A Study on the performance of Four Regression Models in Predicting Weather Temperature Based on Python by Li Taobei

“…For industries like agriculture and disaster management, weather forecasting is essential. This study assesses how well four regression models—linear regression, random forest regression, support vector regression (SVR), and K-Nearest Neighbors (KNN)—predict weather temperatures using a dataset from England. …”
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A Summary of National Oceanic and Atmospheric Administration Space Weather Prediction Center Proton Event Forecast Performance and Skill by H. M. Bain, R. A. Steenburgh, T. G. Onsager, E. M. Stitely

“…An essential aspect of space weather forecasting is therefore to predict the occurrence and properties of a solar proton event before it occurs. …”
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On Generalized Additive Models for Representation of Solar EUV Irradiance by Daniel A. Brandt, Erick F. Vega, Aaron J. Ridley

“…Abstract In the context of space weather forecasting, solar EUV irradiance specification is needed on multiple time scales, with associated uncertainty quantification for determining the accuracy of downstream parameters. …”
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Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU. by Yongfei Wang, Junping Wang, Jiarui Tian, Lin Li, Fangping Ma, Fang Peng, Hu Ke

“…Atmospheric circulation models are used for weather forecasting and climate simulation. As a critical physical process in atmospheric circulation models, the Zhang-McFarlane (ZM) deep convective physical parameterization scheme involves computationally intensive calculations that significantly impact the overall operational efficiency of the model. …”
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An Empirical Relationship Between Coronal Density and Solar Wind Velocity in the Middle Corona With Applications to Space Weather by Kaine A. Bunting, Huw Morgan

“…Abstract Accurate predictions of ambient solar wind conditions are a central component of space weather forecasting. A recent advancement is to use the distribution of electron density at a heliocentric distance of 8 R⊙, gained by applying coronal rotational tomography to coronagraph data, as an inner boundary condition for the time‐dependent Heliospheric Upwind eXtrapolation solar wind model. …”
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MSLp: Deep Superresolution for Meteorological Satellite Image by Liling Zhao, Hao Yu, Yan Wang

“…High-resolution meteorological satellite image is the basic data for weather forecasting, climate prediction, and early warning of various meteorological disasters. …”
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Research on the Effect of Data Assimilation for Three‐Dimensional MHD Simulation of Solar Wind by Hanke Zhang, Fang Shen, Yi Yang

“…Abstract As an important part of space weather forecasting, the prediction of solar wind parameters in the near‐Earth space is particularly significant. …”
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Detection and simulation of Kermanshah dust storm using HYSPLIT and WRF-chem models by Tooba Alizadeh, Majid Rezaei Banafsheh, Hashem Rostamzadeh, Gholamreza Goodarzi, Hedar Maleki, Hamzeh Alizadeh

“…To investigate the synoptic conditions of the causes of this phenomenon, from the European Central Center (ESMWF) mid-term weather forecast data set with a resolution of 0.125 degrees of arc including, geopotential height, omega, sea level pressure, orbital and meridional components, humidity. …”
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Design and Construction of an Anemometer. by Mukhangu, Paul

“…Anemometers play a crucial role in measuring wind speed and direction, essential for weather forecasting, environmental monitoring, and optimizing wind energy systems. …”
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Assessing the Influence of Input Magnetic Maps on Global Modeling of the Solar Wind and CME‐Driven Shock in the 2013 April 11 Event by Meng Jin, Nariaki V. Nitta, Christina M. S. Cohen

“…However, the input data coverage for space weather forecasting is extremely limited. One major limitation is the solar magnetic field measurements, which are used to specify the inner boundary conditions of the global magnetohydrodynamic (MHD) models. …”
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Statistical Downscaling for Rainfall Forecasts Using Modified Constructed Analog Method in Thailand by Patchalai Anuchaivong, Dusadee Sukawat, Anirut Luadsong

“…The Modified Constructed Analog Method (MCAM) is a technique in downscaling estimation, suitable for rainfall simulation accuracy using weather forecasting. In this research, the MCAM was used to calculate the Euclidean distance to obtain the number of analog days. …”
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Intelligent methods for natural data analysis: application to space weather by O.V. Mandrikova

“…This work studies a highly relevant class of problems in this area, aimed at creating methods for space weather forecasting. The negative impact of space weather anomalies on human health and practically all modern infrastructure objects requires the development of methods and the creation of effective means of detecting anomalies. …”
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A study of Summer Rainfall on the Southern Coast of the Caspian Sea Using WRF and Satellite Numerical Forecasting Models by Donya Sadegh Nezhad, Ebrahim Fatehi, Gholam Ali Kamali, Zahra Ghassabi

“…The more accurate the rainfall forecast is, the better the flood can be predicted. Numerical weather forecasting models such as WRF usually do not have suitable outputs for predicting the amount of precipitation in the first hours of implementation; This is intensified in the summer season on the southern shores of the Caspian Sea in the provinces of Gilan and Mazandaran. …”
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A New Method for Predicting Non‐Recurrent Geomagnetic Storms by Cong Wang, Qian Ye, Fei He, Bo Chen, Xiaoxin Zhang

“…Abstract Predicting non‐recurrent geomagnetic storms caused by Coronal Mass Ejection (CME) is important and necessary for space weather forecasting. Previous studies have shown that it is feasible to predict non‐recurrent geomagnetic storms by reconstructing precursors from cosmic ray intensity (CRI) in the frequency domain. …”
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A Real‐Time Prediction System of the Intensity of Solar Energetic Proton Events Based on a Solution of the Diffusion Equation by Y. Zhang, Y. Wang, X. Li, P. B. Zuo

“…The HITSEP system has huge potential to apply in the space weather forecast. The application of the HITSEP system in space weather forecasting is very promising.…”
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Deep Learning the Forecast of Galactic Cosmic-Ray Spectra by Yi-Lun Du, Xiaojian Song, Xi Luo

“…Additionally, the model reliably predicts full cosmic-ray spectra for different particle species, enhancing its utility for comprehensive space weather forecasting. Our approach offers a scalable, data-driven alternative to traditional physics-based methods, ensuring robust daily and long-term forecasts. …”
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Effect of the Ensemble System Size on the Precipitation Forecast Accuracy by Atefeh Mohamadi, Majid Azadi

“…This is accomplished by creating ensemble systems of weather forecasts differing in the initial conditions or physical formulation of NWP models. …”
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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

“…Despite advances in weather forecasting, photovoltaic power prediction accuracy remains a challenge. …”
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Effective methods of rational water resource use in the agrarian sector of Kazakhstan by Yerzhan Amirbekuly, Adaskhan Daribayeva, Aigul Toxanova, Darima Zhenskhan, Nurzhamal Kurmankulova

“…Automated monitoring systems using soil moisture sensors and weather forecasting reduced water consumption by 25-50% and increased crop yields by 15-30%. …”
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