AIMC Topic: Meteorology

Clear Filters Showing 11 to 20 of 36 articles

Contributions of meteorology to ozone variations: Application of deep learning and the Kolmogorov-Zurbenko filter.

Environmental pollution (Barking, Essex : 1987) Aug 11, 2022
From hourly ozone observations obtained from three regions⸻Houston, Dallas, and West Texas⸻we investigated the contributions of meteorology to changes in surface daily maximum 8-h average (MDA8) ozone from 2000 to 2019. We applied a deep convolutiona...
Deep Learning Environmental Monitoring Ozone Meteorology Air Pollutants Air Pollution
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Drought Assessment Based on Data Fusion and Deep Learning.

Computational intelligence and neuroscience Jul 31, 2022
Drought is a major factor affecting the sustainable development of society and the economy. Research on drought assessment is of great significance for formulating drought emergency policies and drought risk early warning and enhancing the ability to...
Rivers Droughts Deep Learning Hydrology Meteorology
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Road Traffic Forecast Based on Meteorological Information through Deep Learning Methods.

Sensors (Basel, Switzerland) Jun 14, 2022
Forecasting road flow has strong importance for both allowing authorities to guarantee safety conditions and traffic efficiency, as well as for road users to be able to plan their trips according to space and road occupation. In a summer resort, such...
Weather Meteorology Neural Networks, Computer Forecasting Deep Learning
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ECMWF short-term prediction accuracy improvement by deep learning.

Scientific reports May 12, 2022
This paper aims to describe and evaluate the proposed calibration model based on a neural network for post-processing of two essential meteorological parameters, namely near-surface air temperature (2 m) and 24 h accumulated precipitation. The main i...
Meteorology Forecasting Deep Learning Temperature Weather
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Using multiple linear regression and BP neural network to predict critical meteorological conditions of expressway bridge pavement icing.

PloS one Feb 4, 2022
Icy bridge deck in winter has tremendous consequences for expressway traffic safety, which is closely related to the bridge pavement temperature. In this paper, the critical meteorological conditions of icy bridge deck were predicted by multiple line...
Air Pollutants Neural Networks, Computer Safety Wind Weather Linear Models Meteorological Concepts Ice Cold Temperature Environmental Monitoring China Meteorology Pressure Regression Analysis
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Modelling the reference crop evapotranspiration in the Beas-Sutlej basin (India): an artificial neural network approach based on different combinations of meteorological data.

Environmental monitoring and assessment Feb 3, 2022
Accurate prediction of the reference evapotranspiration (ET) is vital for estimating the crop water requirements precisely. In this study, we developed multi-layer perceptron artificial neural network (MLP-ANN) models considering different combinatio...
Wind India Neural Networks, Computer Temperature Meteorology Plant Transpiration Environmental Monitoring Crops, Agricultural
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A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.

Environmental science and pollution research international Jan 29, 2022
Meteorological events constantly affect human life, especially the occurrence of excessive precipitation in a short time causes important events such as floods. However, in case of insufficient precipitation for a long time, drought occurs. In recent...
Meteorology Droughts Neural Networks, Computer Forecasting Time
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Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach.

Environmental science and pollution research international Jan 4, 2022
One way of reducing environmental pollution is to reduce our dependence on fossil fuels by replacing them with solar radiation (Rs), which is one of the main sources of clean and renewable energy. In this study, daily Rs values at seven meteorologica...
Algorithms Support Vector Machine Solar Energy Meteorology Artificial Intelligence
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BiLSTM-I: A Deep Learning-Based Long Interval Gap-Filling Method for Meteorological Observation Data.

International journal of environmental research and public health Sep 30, 2021
Complete and high-resolution temperature observation data are important input parameters for agrometeorological disaster monitoring and ecosystem modelling. Due to the limitation of field meteorological observation conditions, observation data are co...
Meteorology Ecosystem Deep Learning
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Interpretable and explainable AI (XAI) model for spatial drought prediction.

The Science of the total environment Aug 21, 2021
Accurate prediction of any type of natural hazard is a challenging task. Of all the various hazards, drought prediction is challenging as it lacks a universal definition and is getting adverse with climate change impacting drought events both spatial...
Droughts Algorithms Meteorology Climate Change Artificial Intelligence
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