Results 61 to 70 of about 2,046,347 (299)

Understanding the dynamical mechanism of year-to-year incremental prediction by nonlinear time series prediction theory

Atmospheric and Oceanic Science Letters, 2018
Previous studies have shown that year-to-year incremental prediction (YIP) can obtain considerable skill in seasonal forecasts. This study analyzes the mathematical definition of YIP and derives its formula in the nonlinear time series prediction (NP ...
Shu-Ting Bi, Peng-Fei Wang, Xin-Nong Pan, Chao-Fan Li   +3 more
doaj   +1 more source

Seasonal Performance of a Nonhydrostatic Global Atmospheric Model on a Cubed‐Sphere Grid

Earth and Space Science, 2021
The Korean Integrated Model (KIM), a recently developed nonhydrostatic global atmospheric model over a cubed‐sphere grid, was deployed in April 2020 as an operational weather forecasting model.
Jung‐Eun Esther Kim, Myung‐Seo Koo, Changhyun Yoo, Song‐You Hong   +3 more
doaj   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

Advanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Skillful seasonal prediction of the 2022–23 mega soil drought over the Yangtze River basin by combining dynamical climate prediction and copula analysis

Environmental Research Letters
An unprecedented soil moisture drought broke out over the Yangtze River basin (YRB) in the summer of 2022 and lasted until the spring of 2023, caused great economic losses and serious environmental issues.
Yumiao Wang, Xing Yuan, Yuxiu Liu, Wenyan Wang   +3 more
doaj   +1 more source

Chapter 15 - Machine learning for subseasonal-to-seasonal prediction

In this chapter, we cover the current state of machine learning (ML) applied to subseasonal-to-seasonal (S2S) prediction and predictability. This includes ML applications for postprocessing and online bias correction, data-driven forecasting, and ...
Mayer, Kirsten J., Lerch, Sebastian, Arcodia, Marybeth C., de Burgh-Day, Catherine   +3 more
core   +1 more source

Iron‐Mediated Release of Aged Dissolved Organic Carbon From Waterlogged Peatland Under Warming

Advanced Science, EarlyView.
This study conducts a five‐year in situ warming experiment in high‐altitude peatlands to examine dissolved organic carbon (DOC) release. The study shows that warming promotes the release of plant‐derived modern DOC in drained peatlands, but amplifies aquatic export of century‐old DOC from waterlogged peatlands via Fe‐mediated DOC mobilization—a ...
Guohua Dai, Zhiying Yang, Zongguang Liu, Wanjia Hu, Lixiao Ma, Enze Kang, Wanqing Luo, Yunpeng Zhao, Chengzhu Liu, Juan Jia, Ting Liu, Chen He, Quan Shi, Jianliang Liu, Yongheng Gao, Huai Chen, Hailong Zhang, Meixun Zhao, Xiaojuan Feng   +18 more
wiley   +1 more source

Multi‐Season Lead Prediction of Atlantic Niño Facilitated by Pacific Ocean Precursors

Geophysical Research Letters
The boreal summer Atlantic Niño, the dominant mode of interannual climate variability in the equatorial Atlantic, exerts profound effects on local ecosystems and broader climate patterns, yet its prediction remains a long‐standing challenge.
Feng Jiang, Wenjun Zhang, Julien Boucharel, Fei‐Fei Jin, Michael J. McPhaden, Malte F. Stuecker   +5 more
doaj   +1 more source

Auto‐Downregulation of the Florigen FT Production Prevents Precocious Flowering in Plants

Advanced Science, EarlyView.
This study shows that the leaf vein‐expressed FD complexes with the florigen FT to bind DNA motifs in FT promoter, which antagonizes CONSTANS‐mediated FT activation to feedback down‐regulate FT expression. This prevents an excessive induction of FT expression by inductive photoperiods, thereby precluding precocious transition to flowering in ...
Shu Tian, Xiao Luo, Bowen Cui, Yuehui He
wiley   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Seasonal Predictability of Four Major Crop Yields Worldwide by a Hybrid System of Dynamical Climate Prediction and Eco-Physiological Crop-Growth Simulation

Frontiers in Sustainable Food Systems, 2020
The purpose of this study was to evaluate the prediction accuracy of a newly developed crop yield prediction system, composed of a dynamical seasonal climate prediction model (SINTEX-F2) and an eco-physiological process-based crop growth model (PRYSBI2).
Takeshi Doi, Gen Sakurai, Toshichika Iizumi   +2 more
doaj   +1 more source