Results 21 to 30 of about 348,594 (257)

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

Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach

ISPRS International Journal of Geo-Information, 2023
The occurrence of flash floods in urban catchments within the Mediterranean climate zone has witnessed a substantial rise due to climate change, underscoring the urgent need for early-warning systems.
Eleni-Ioanna Koutsovili, Ourania Tzoraki, Nicolaos Theodossiou, George E. Tsekouras   +3 more
doaj   +1 more source

Advancing polar prediction capabilities on daily to seasonal time scales [PDF]

, 2016
It is argued that existing polar prediction systems do not yet meet users’ needs; and possible ways forward in advancing prediction capacity in polar regions and beyond are outlined.
Bauer, Peter, Bromwich, David H., Chevallier, Matthieu, Dawson, Jackie, Day, Jonathan J., Doblas-Reyes, Francisco, Fairall, Christopher, Goessling, Helge F., Gordon, Neil D., Holland, Marika, Inoue, Jun, Iversen, Trond, Jung, Thomas, Klebe, Stefanie, Lemke, Peter, Losch, Martin, Makshtas, Alexander, Mills, Brian, Nurmi, Pertti, Perovich, Donald, Reid, Philip, Renfrew, Ian A., Smith, Gregory, Svensson, Gunilla, Tolstykh, Mikhail, Yang, Qinghua   +25 more
core   +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

The Research of Control Method of Greenhouse Based on Global Variable Prediction Model

Chemical Engineering Transactions, 2016
The paper deals with the problem of control of greenhouses inside climate based on the global variable prediction model. A mathematical model of greenhouse climate was established.
M. Cheng, H.B. Yuan, M. Zhang, M. Cheng
doaj   +1 more source

Designing and Implementation of Climate Dynamic Diagnosis and Analysis System

应用气象学报, 2021
Climate dynamic diagnosis and numerical simulation are important means to understand the rules of climate variability and improve the service efficiency of short-term climate prediction and scientific decision-making.
Zhang Zhengqiu, Zhu Congwen, Su Jingzhi, Liu Boqi, Jiang Ning, Chen Haoming   +5 more
doaj   +1 more source

Weather, climate, and hydrologic forecasting for the US Southwest: A survey [PDF]

, 2002
As part of a regional integrated assessment of climate vulnerability, a survey was conducted from June 1998 to May 2000 of weather, climate, and hydrologic forecasts with coverage of the US Southwest and an emphasis on the Colorado River Basin.
Bales, R, Hartmann, HC, Sorooshian, S
core   +1 more source

Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature

Energy Reports, 2020
Wind power experienced a substantial growth over the past decade especially because it has been seen as one of the best ways towards meeting climate change and emissions targets by many countries.
Sambeet Mishra, Chiara Bordin, Kota Taharaguchi, Ivo Palu   +3 more
doaj   +1 more source

Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm

Energies, 2020
The high utilization of renewable energy to manage climate change and provide green energy requires short-term photovoltaic (PV) power forecasting. In this paper, a novel forecasting strategy that combines a convolutional neural network (CNN) and a salp ...
Happy Aprillia, Hong-Tzer Yang, Chao-Ming Huang   +2 more
doaj   +1 more source

Development and Evaluation of a Deep Learning Based System to Predict District-Level Maize Yields in Tanzania

Agriculture, 2023
Prediction of crop yields is very helpful in ensuring food security, planning harvest management (storage, transport, and labor), and performing market planning.
Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki   +4 more
doaj   +1 more source