Results 61 to 70 of about 12,074 (267)

Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling

open access: yesScientific Reports
The increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes.
Alfredo Reder   +3 more
doaj   +1 more source

Astrocytic Phenotypic Switching in Posterior Piriform Cortex Orchestrates Bone Cancer Pain–Depression Comorbidity via Purinergic–Noradrenergic Signaling

open access: yesAdvanced Science, EarlyView.
Bone cancer pain and depression share a common origin: astrocytic A2‐to‐A1 transition in the posterior piriform cortex. This phenotypic shift disrupts the ATP–adenosine–A2AR–norepinephrine axis, simultaneously driving nociceptive and affective dysfunction.
Jiang‐Ping Liu   +14 more
wiley   +1 more source

How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections?

open access: yesEarth's Future, 2022
We present an intercomparison of a suite of high‐resolution downscaled climate projections based on a six‐member General Circulation Model (GCM) ensemble from Coupled Models Intercomparison Project (CMIP6).
Deeksha Rastogi   +2 more
doaj   +1 more source

Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation

open access: yesAdvanced Science, EarlyView.
Sleep deprivation progressively shifts human brain dynamics from near‐critical toward supercritical states, as revealed by neuronal avalanche analysis of resting‐state fMRI. These changes track subjective sleep pressure rather than vigilance lapses and show marked network heterogeneity. A circuit model suggests that reduced inhibitory efficacy provides
Dai Zhang   +6 more
wiley   +1 more source

A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling

open access: yesJournal of Geophysical Research: Machine Learning and Computation
High‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for wind downscaling is an effective approach to achieve this goal. However, the lack of physical process understanding in
Anboyu Guo   +9 more
doaj   +1 more source

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

open access: yesAdvanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren   +5 more
wiley   +1 more source

On the Use of Reanalysis Data for Downscaling [PDF]

open access: yesJournal of Climate, 2012
Abstract In this study, a worldwide overview on the expected sensitivity of downscaling studies to reanalysis choice is provided. To this end, the similarity of middle-tropospheric variables—which are important for the development of both dynamical and statistical downscaling schemes—from 40-yr European Centre for Medium-Range Weather ...
Brands, Swen Franz   +3 more
openaire   +3 more sources

Boosting Ferroelectricity: 2D and Polymer Ferroelectric Hybrids Enabling Ambipolar Nonvolatile MoS2 Memory Transistor

open access: yesAdvanced Science, EarlyView.
Two‐dimensional CuInP2S6 nanosheets are incorporated into a P(VDF‐TrFE) matrix to induce polarization‐cooperative ferroelectric coupling. The resulting P(VDF‐TrFE)/CuInP2S6 hybrid film exhibits reinforced ferroelectric ordering and reduced coercive electric fields compared with pristine P(VDF‐TrFE).
Yeonsu Jeong   +10 more
wiley   +1 more source

Study on the Construction of Initial Condition Perturbations for the Regional Ensemble Prediction System of North China

open access: yesAtmosphere, 2019
The regional ensemble prediction system (REPS) of North China is currently under development at the Institute of Urban Meteorology, China Meteorological Administration, with initial condition perturbations provided by global ensemble dynamical ...
Hanbin Zhang, Min Chen, Shuiyong Fan
doaj   +1 more source

Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed) [PDF]

open access: yesEnvironmental Resources Research, 2017
Assessment of the impacts of climate change on water resources has been obtainedsignificant attentions in the past decade. This paper assesses the climate change impacts onprecipitation in the Minab basin, in the Hormozgan province in Iran.
Meysam Alizamir   +3 more
doaj   +1 more source

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