Results 11 to 20 of about 348,594 (257)

Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks [PDF]

open access: yes, 2020
Changes in Arctic sea ice affect atmospheric circulation, ocean current, and polar ecosystems. There have been unprecedented decreases in the amount of Arctic sea ice due to global warming.
Han, Daehyeon   +4 more
core   +1 more source

Chemical Weather and Chemical Climate

open access: yesAGU Advances, 2021
Progress in fundamental understanding of atmospheric chemistry in the past decades has enabled the development of advanced environmental predictive capability.
Guy P. Brasseur, Rajesh Kumar
doaj   +1 more source

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

open access: yesJournal 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   +2 more
doaj   +1 more source

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

open access: yesRemote 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   +6 more
doaj   +1 more source

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

open access: yesRemote 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   +4 more
doaj   +1 more source

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

open access: yesJournal 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   +4 more
doaj   +1 more source

Decadal climate predictions improved by ocean ensemble dispersion filtering [PDF]

open access: yes, 2017
Decadal predictions by Earth system models aim to capture the state and phase of the climate several years in advance. Atmosphere-ocean interaction plays an important role for such climate forecasts.
Cubasch, Ulrich   +4 more
core   +1 more source

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

open access: yesPLoS 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   +18 more
doaj   +1 more source

The Role of China in Mitigating Climate Change [PDF]

open access: yes, 2012
http://globalchange.mit.edu/research/publications/2265We explore short- and long-term implications of several energy scenarios of China’s role in efforts to mitigate global climate risk. The focus is on the impacts on China’s energy system and GDP growth,
Cai, Y.   +4 more
core   +2 more sources

Predicting Water Cycle Characteristics from Percolation Theory and Observational Data. [PDF]

open access: yes, 2020
The fate of water and water-soluble toxic wastes in the subsurface is of high importance for many scientific and practical applications. Although solute transport is proportional to water flow rates, theoretical and experimental studies show that heavy ...
Egli, Markus   +4 more
core   +2 more sources

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