Results 11 to 20 of about 28,819 (266)

Short-Term Forecasting of Electric Energy Generation for a Photovoltaic System [PDF]

MATEC Web of Conferences, 2018
This article presents a short-term forecast of electric energy output of a photovoltaic (PV) system towards Tomsk city, Russia climate variations (module temperature and solar irradiance).
Dinh V.T., Yan Yuhao
doaj   +2 more sources

Short- and long-term weather prediction based on a hybrid of CEEMDAN, LMD, and ANN.

PLoS ONE
Agriculture is one of the major economic sectors in Africa, and it predominantly depends on the climate. However, extreme climate changes do have a negative impact on agricultural production.
Samuel Asante Gyamerah, Victor Owusu
doaj   +2 more sources

Data‐Driven Super‐Parameterization Using Deep Learning: Experimentation With Multiscale Lorenz 96 Systems and Transfer Learning

Journal of Advances in Modeling Earth Systems, 2020
To make weather and climate models computationally affordable, small‐scale processes are usually represented in terms of the large‐scale, explicitly resolved processes using physics‐based/semi‐empirical parameterization schemes.
Ashesh Chattopadhyay, Adam Subel, Pedram Hassanzadeh   +2 more
doaj   +1 more source

A Hybrid ENSO Prediction System Based on the FIO−CPS and XGBoost Algorithm

Remote Sensing, 2023
Accurate prediction of the El Niño–Southern Oscillation (ENSO) is crucial for climate change research and disaster prevention and mitigation. In recent decades, the prediction skill for ENSO has improved significantly; however, accurate forecasting at a ...
Zhiyuan Kuang, Yajuan Song, Jie Wu, Qiuying Fu, Qi Shu, Fangli Qiao, Zhenya Song   +6 more
doaj   +1 more source

A Novel Hybrid Intelligent SOPDEL Model with Comprehensive Data Preprocessing for Long-Time-Series Climate Prediction

Remote Sensing, 2023
Long-time-series climate prediction is of great significance for mitigating disasters; promoting ecological civilization; identifying climate change patterns and preventing floods, drought and typhoons.
Zeyu Zhou, Wei Tang, Mingyang Li, Wen Cao, Zhijie Yuan   +4 more
doaj   +1 more source

Deep Learning of Systematic Sea Ice Model Errors From Data Assimilation Increments

Journal of Advances in Modeling Earth Systems, 2023
Data assimilation is often viewed as a framework for correcting short‐term error growth in dynamical climate model forecasts. When viewed on the time scales of climate however, these short‐term corrections, or analysis increments, can closely mirror the ...
William Gregory, Mitchell Bushuk, Alistair Adcroft, Yongfei Zhang, Laure Zanna   +4 more
doaj   +1 more source

Deep learning models for forecasting dengue fever based on climate data in Vietnam.

PLoS Neglected Tropical Diseases, 2022
BackgroundDengue fever (DF) represents a significant health burden in Vietnam, which is forecast to worsen under climate change. The development of an early-warning system for DF has been selected as a prioritised health adaptation measure to climate ...
Van-Hau Nguyen, Tran Thi Tuyet-Hanh, James Mulhall, Hoang Van Minh, Trung Q Duong, Nguyen Van Chien, Nguyen Thi Trang Nhung, Vu Hoang Lan, Hoang Ba Minh, Do Cuong, Nguyen Ngoc Bich, Nguyen Huu Quyen, Tran Nu Quy Linh, Nguyen Thi Tho, Ngu Duy Nghia, Le Van Quoc Anh, Diep T M Phan, Nguyen Quoc Viet Hung, Mai Thai Son   +18 more
doaj   +1 more source

Validation and forecasting accuracy in models of climate change [PDF]

, 2011
Forecasting researchers, with few exceptions, have ignored the current major forecasting controversy: global warming and the role of climate modelling in resolving this challenging topic.
Kourentzes, Nikolaos,, Kourentzes, Nikolaos, Fildes, Robert, Robert Fildes, Nikolaos Kourentzes, Fildes, Robert,   +5 more
core   +1 more source

Can we tackle climate change by behavioral hacking of the dopaminergic system?

Frontiers in Behavioral Neuroscience, 2022
Climate change is an undeniable fact that will certainly affect millions of people in the following decades. Despite this danger threatening our economies, wellbeing and our lives in general, there is a lack of immediate response at both the ...
Jérôme Munuera, Jérôme Munuera, Eric Burguière   +2 more
doaj   +1 more source

Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations

Journal of Advances in Modeling Earth Systems, 2020
To increase our capability to predict Arctic sea ice and climate, we have developed a coupled atmosphere‐sea ice‐ocean model configured for the pan‐Arctic with sufficient flexibility.
Chao‐Yuan Yang, Jiping Liu, Shiming Xu
doaj   +1 more source