Results 61 to 70 of about 4,321,601 (325)

Atomistic Understanding of 2D Monatomic Phase‐Change Material for Non‐Volatile Optical Applications

Advanced Science, EarlyView.
Antimony is a promising monatomic phase‐change material. Scaling down the film thickness is necessary to prolong the amorphous‐state lifetime, but it alters the optical properties. The combined computational and experimental study shows that, as thickness decreases, the extinction coefficient and optical contrast are reduced in the near‐infrared ...
Hanyi Zhang, Xueqi Xing, Jiang‐Jing Wang, Chao Nie, Yuxin Du, Junying Zhang, Xueyang Shen, Wen Zhou, Matthias Wuttig, Riccardo Mazzarello, Wei Zhang   +10 more
wiley   +1 more source

Statistical DownScaling Model - Downscaling of precipitation data with SDSM - quick start guide

, 2022
Statistical DownScaling Model - downscaling of precipitation time series data with SDSM - Step-by-step instructions for quick start This guide was created based on lectures given by Prof. Robert Wilby (Department of Geography, Loughborough University, UK) during Workshops of the ExtremeClimTwin Project (European Union’s Horizon 2020 research and ...
Wilby, Robert L., Dawson, Christian, Mesaroš, Minučer   +2 more
openaire   +2 more sources

Configuration and intercomparison of deep learning neural models for statistical downscaling

Geoscientific Model Development, 2019
. Deep learning techniques (in particular convolutional neural networks, CNNs) have recently emerged as a promising approach for statistical downscaling due to their ability to learn spatial features from huge spatiotemporal datasets.
J. Baño-Medina, R. Manzanas, J. Gutiérrez   +2 more
semanticscholar   +1 more source

NuSAP Safeguards Centriole Integrity to Mediate CEP57‐CEP152 Torus Recruitment for Proper Engagement

Advanced Science, EarlyView.
This study reveals a novel role for the microtubule stabilizer NuSAP at centrioles. NuSAP depletion destabilizes the centriole's tubulin structure, causing premature disengagement, PCM defects, and mis‐localization of the CEP57‐CEP63‐CEP152 complex. By reinforcing centriole architecture, NuSAP enables early CEP57 loading and initiates a newly proposed ...
Shiyu Zhang, Zemin Jiang, Qiaoyun Yang, Hong Zheng, Minghao Wang, Chennianci Zhu, Lih‐Wen Deng, Karen Carmelina Crasta, Yih‐Cherng Liou   +8 more
wiley   +1 more source

Differences between Machine Learning and Traditional Downscaling Method in Processing Summer Meteorological Elements in the Yellow River Basin

Gaoyuan qixiang
Global Climate Models （GCMs） are the primary tools currently used to predict future climate change； however， their coarse spatial resolution limits their ability to assess localized impacts of climate change.To address this issue， statistical downscaling
Han CHEN, Xiaodan GUAN, Tingting MA
doaj   +1 more source

Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment

, 2020
. The increasing demand for high-resolution climate information has attracted growing attention to statistical downscaling (SDS) methods, due in part to their relative advantages and merits as compared to dynamical approaches (based on regional climate ...
J. Bedia, J. Baño-Medina, M. N. Legasa, M. Iturbide, R. Manzanas, S. Herrera, A. Casanueva, D. San-Martín, A. Cofiño, J. Gutiérrez   +9 more
semanticscholar   +1 more source

Statistical Downscaling in Climatology

Geography Compass, 2013
Abstract Downscaling is a term that has been used to describe the range of methods that are used to infer regional‐scale or local‐scale climate information from coarsely resolved climate models. The use of statistical methods for this purpose is rooted in both operational weather forecasting and synoptic climatology and has become a ...
openaire   +2 more sources

Multi‐Tissue Genetic Regulation of RNA Editing in Pigs

Advanced Science, EarlyView.
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan, Wentao Gong, Xiaodian Cai, Jinyan Teng, Jiali Cai, Haonan Zeng, Wondossen Ayalew, Qingpeng Shen, Zhanming Zhong, Yifei Wang, Wenjing Zhang, Yuhan Tian, Dantong Xu, Yahui Gao, Hongwei Yin, Yuebo Zhang, Jiahui Hou, Tianru Zhou, Jiaqi Li, Lingzhao Fang, Xiaolong Yuan, Zhe Zhang   +21 more
wiley   +1 more source

Development of statistical downscaling methods for the assessment of rainfall characteristics under climate change scenarios

Journal of Water and Climate Change, 2023
The objective of this research was to develop a statistical downscaling approach in the Phetchaburi River Basin, Thailand, consisting of two main processes: predictor selection and relationship construction between predictors and local rainfall.
Thanipa Onarun, Chaiyapong Thepprasit, Ketvara Sittichok   +2 more
doaj   +1 more source

Modeling Statistical Downscaling for Prediction Precipitation Dry Season in Bireuen District Province Aceh [PDF]

, 2019
The Asian-Australian monsoon circulation specifically causes the Indonesian region to go through climate changebility that impacts on rainfall variability in different Indonesia's zone.
Husna, J. (Juniana), Sanusi, S. (Sanusi)
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