AIMC Topic: Climate

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Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing.

International journal of biometeorology Mar 5, 2024
The Universal Thermal Climate Index (UTCI) is a thermal comfort index that describes how the human body experiences ambient conditions. It has units of temperature and considers physiological aspects of the human body. It takes into account the effec...
Wind Linear Models Forecasting Temperature Humidity Slovenia Thermosensing Climate Humans Neural Networks, Computer Machine Learning
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Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study.

Journal of environmental management Feb 14, 2024
Accurate and reliable estimation of Reference Evapotranspiration (ETo) is crucial for water resources management, hydrological processes, and agricultural production. The FAO-56 Penman-Monteith (FAO-56PM) approach is recommended as the standard model...
Climate Wind Neural Networks, Computer Deep Learning Temperature
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Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model.

Scientific reports Dec 28, 2023
Climatic factors influence malaria transmission via the effect on the Anopheles vector and Plasmodium parasite. Modelling and understanding the complex effects that climate has on malaria incidence can enable important early warning capabilities. Dee...
Animals Deep Learning Climate Mosquito Vectors Models, Statistical Malaria
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FDNet: An end-to-end fusion decomposition network for infrared and visible images.

PloS one Sep 18, 2023
Infrared and visible image fusion can generate a fusion image with clear texture and prominent goals under extreme conditions. This capability is important for all-day climate detection and other tasks. However, most existing fusion methods for extra...
Climate Neural Networks, Computer
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Is deeper always better? Evaluating deep learning models for yield forecasting with small data.

Environmental monitoring and assessment Sep 6, 2023
Predicting crop yields, and especially anomalously low yields, is of special importance for food insecure countries. In this study, we investigate a flexible deep learning approach to forecast crop yield at the provincial administrative level based o...
Crops, Agricultural Climate Algorithms Deep Learning Environmental Monitoring
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Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India.

Environmental science and pollution research international Apr 29, 2023
Supply of water is one of the most significant determinants of regional crop production and human food security. To promote sustainable management of agricultural water, the crop water requirement assessment (CropWRA) model was introduced as a tool f...
Water Supply Crops, Agricultural Climate Remote Sensing Technology Machine Learning Water India Agriculture
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A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.

Environmental science and pollution research international Mar 1, 2023
Precipitation, as an important indicator describing the evolution of the regional climate system, plays an important role in understanding the spatial and temporal distribution characteristics of regional precipitation. Scientific and accurate predic...
Neural Networks, Computer Forecasting Weather Droughts Rain Climate Floods
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Evaluation of AquaCrop and intelligent models in predicting yield and biomass values of wheat.

International journal of biometeorology Feb 28, 2023
AquaCrop is one of the dynamic and user-friendly models for simulating different conditions governing plant growth in the field. But this model requires many input parameters such as plant information, soil, climate, groundwater, and management facto...
Algorithms Biomass Neural Networks, Computer Triticum Climate
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A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention.

International journal of environmental research and public health Feb 25, 2023
This research aims to predict dengue fever cases in Malaysia using machine learning techniques. A dataset consisting of weekly dengue cases at the state level in Malaysia from 2010 to 2016 was obtained from the Malaysia Open Data website and includes...
Dengue Machine Learning Humans Malaysia Deep Learning Climate
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Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation.

Journal of medical Internet research Feb 13, 2023
BACKGROUND: In megacities, there is an urgent need to establish more sensitive forecasting and early warning methods for acute respiratory infectious diseases. Existing prediction and early warning models for influenza and other acute respiratory inf...
Epidemics Influenza, Human Climate Deep Learning Humans Forecasting
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