Results 31 to 40 of about 2,660,815 (249)

The Principal Component Linear Spline Quantile Regression Model in Statistical Downscaling for Rainfall Data [PDF]

Journal of Sciences, Islamic Republic of Iran
Information regarding rainfall can be obtained from global data, namely the global climate model that can be accessed through the statistical downscaling approach.
Andi Yulianti, Anna Islamiyati, Erna Herdiani   +2 more
doaj   +1 more source

DL4DS—Deep learning for empirical downscaling

Environmental Data Science, 2023
A common task in Earth Sciences is to infer climate information at local and regional scales from global climate models. Dynamical downscaling requires running expensive numerical models at high resolution, which can be prohibitive due to long model ...
Carlos Alberto Gomez Gonzalez
doaj   +1 more source

In Situ Magnetic Ordering and Microfabrication of Liquid Crystal Networks with Discretized Alignment

Advanced Functional Materials, EarlyView.
Miniaturizing liquid crystal network actuators typically demands costly laser writing or digital light processing. A low‐cost photolithography platform couples rotating photomasks with a Halbach magnetic array to discretize in‐plane molecular alignment down to 50 µm, producing programmable, light‐responsive grippers, checkerboards, and origami‐inspired
Matthew Gene Scarfo, Ramón S. Herrera Restrepo, Irving Hafed Tejedor Garcia, Hamed Shahsavan   +3 more
wiley   +1 more source

Applications of Self-Organizing Maps to Statistical Downscaling of Major Regional Climate Variables [PDF]

, 2011
This research developed a practical methodological framework, which integrated most of the important aspects related to statistical downscaling.
Yin, Chonghua
core  

Interrogating empirical-statistical downscaling

, 2013
The delivery of downscaled climate information is increasingly seen as a vehicle of climate services, a driver for impacts studies and adaptation decisions, and for informing policy development.
Crane, Robert, Daron, Joe, Zermoglio, Fernanda, Hewitson, Bruce, Jack, Christopher   +4 more
core   +1 more source

Barrier‐Assisted Plasma Doping for Spatially Selective Resistance Engineering in MoS2 Transistors

Advanced Materials, EarlyView.
Barrier‐assisted NH3 plasma doping enables damage‐free, spatially selective carrier modulation in monolayer MoS2 transistors. An ultrathin pV3D3/Al2O3 protective‐dielectric stack acts as a chemical filter that allows NHx radicals to reach the MoS2 surface while blocking plasma damage. This process achieves a high electron concentration of 4.3 × 1013 cm−
Inseong Lee, Joonho Park, Seungsun Yoo, Seunghyun Yu, Mingu Kang, Seohak Park, Min Kyu Lee, Hyeongjin Lim, Dongyoung Kim, Kunwoo Roh, Sejin Kim, Kihyuk Kim, Wonbae Ahn, Kibum Kang, Yong‐Hoon Kim, Sung‐Yool Choi   +15 more
wiley   +1 more source

2D Abrupt Nano‐Junctions Blending sp–sp2 Bonds on Atomically Precise Heterostructures

Advanced Materials, EarlyView.
A lateral heterostructure between atomically precise sp–sp2$^2$ metalated graphdiyne and sp2$^2$ graphene nanoribbons is realized by on‐surface synthesis and investigated by STM and DFT. The impact of on‐surface synthesis byproducts on covalent junction formation yield is unveiled.
Alice Cartoceti, Simona Achilli, Masoumeh Alihosseini, Adriana E. Candia, Enrico Beltrami, Paolo D'Agosta, Alessio Orbelli Biroli, Francesco Sedona, Andrea Li Bassi, Jorge Lobo‐Checa, Carlo S. Casari   +10 more
wiley   +1 more source

Modulating Local Coordination in Single‐Atom Catalysts: From Fundamental Concepts to Emerging Breakthroughs in Electrocatalysis

Angewandte Chemie, EarlyView.
This review summarizes atomic‐level design strategies for single‐atom catalysts, emphasizing modulation of the local coordination environment, active‐site geometry, and metal‐support interactions to optimize catalytic activity and stability in electrocatalytic energy conversion applications.
Ashwani Kumar, Harun Tüysüz
wiley   +2 more sources

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 of Climate Change Scenarios of Rainfall and Temperature over Indira Sagar Canal Command Area in Madhya Pradesh, India

, 2015
General circulation models (GCMs) have been employed by climate agencies to predict future climate change. A challenging issue with GCM output for local relevance is their coarse spatial resolution of the projected variables.
Deepak Khare, Shukla, Rituraj, Rituraj Shukla, Ravinesh Deo, Khare, Deepak, Deo, Ravinesh   +5 more
core   +1 more source