logo
ResearchBunny Logo
Consecutive one-week model predictions of land surface temperature stay on track for a decade with chaotic behavior tracking

Computer Science

Consecutive one-week model predictions of land surface temperature stay on track for a decade with chaotic behavior tracking

J. Ren, Y. Liu, et al.

Discover the innovative temperature prediction method developed by Jinfu Ren, Yang Liu, and Jiming Liu, which adapts to changing temperature dynamics and minimizes error accumulation over decades. This groundbreaking research could reshape our understanding of climate change impacts.

00:00
Playback language: English
Abstract
Accurate temperature prediction over decades is crucial for understanding the effects of climate change. This paper presents a novel prediction method incorporating an information tracking mechanism to adapt to changes in temperature dynamics. This mechanism provides probabilistic feedback on prediction errors, preventing error accumulation. Experiments on global weekly land surface temperature prediction over a decade demonstrate the method's effectiveness.
Publisher
Communications Earth & Environment
Published On
Oct 25, 2024
Authors
Jinfu Ren, Yang Liu, Jiming Liu
Tags
temperature prediction
climate change
information tracking
probabilistic feedback
error accumulation
global surface temperature
decadal analysis

Related Publications

Explore these studies to deepen your understanding of the subject.

A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture
Chemistry

A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture

H. Park, X. Yan, et al.

Effect of agency costs on the optimal matching grant rate in a model of tax competition with benefit spillovers
Economics

Effect of agency costs on the optimal matching grant rate in a model of tax competition with benefit spillovers

T. Yang

Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections
Medicine and Health

Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections

Y. Kim, S. Kim, et al.

Do emotions conquer facts? A CCME model for the impact of emotional information on implicit attitudes in the post-truth era
Psychology

Do emotions conquer facts? A CCME model for the impact of emotional information on implicit attitudes in the post-truth era

Y. Yang, L. Xiu, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny