Results 31 to 40 of about 8,971 (314)

Statistical downscaling for precipitation projections in West Africa

Theoretical and Applied Climatology, 2023
Abstract The West Africa region (5to 20N and 10E to 20W) is particularly vulnerable to climate change due to a combination of unique geographic features, meteorological conditions, and socio-economic factors. Drastic changes in precipitation (e.g., droughts or floods) in the region can have dramatic impacts on rain-fed agriculture, water ...
Andrew Polasky, Jenni L. Evans, Jose D. Fuentes   +2 more
openaire   +1 more source

Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area

Italian Journal of Agronomy, 2012
In this paper we present and discuss a comparison between statistical and regional climate modeling techniques for downscaling GCM prediction . The comparison is carried out over the “Capitanata” region, an area of agricultural interest in south ...
Claudia Pizzigalli, L. Palatella, M. Zampieri, P. Lionello, M.M. Miglietta, P. Paradisi   +5 more
doaj   +1 more source

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

Statistical downscaling of GCM simulations to Streamflow

Journal of Hydrology, 2001
A multi-tiered forecast procedure is employed to simulate real-time operational seasonal forecasts of categorized (below-normal, near-normal and above-normal) streamflow at the inlets of twelve dams of the Vaal and upper Tugela river catchments in South Africa.
Landman, Willem A., Mason, Simon J., Tyson, Peter, Tennant, Warren   +3 more
openaire   +3 more sources

Statistically Downscaled Temperature Scenarios over China [PDF]

Atmospheric and Oceanic Science Letters, 2009
Monthly mean temperatures at 562 stations in China are estimated using a statistical downscaling technique. The technique used is multiple linear regressions (MLRs) of principal components (PCs).
openaire   +1 more source

Copper‐Based Crystalline‐Metallic Glass Composite Thin Films: A Novel Material with Enhanced Strength and Thermally Stable Nanotwins

Advanced Functional Materials, EarlyView.
A Cu‐based crystal‐glass composite with high‐density twins is identified by a fast screening technique using combinatorial sputtering together with XRD and nanoindentation mapping. This bamboo‐like structure demonstrates homogenous plastic flow and retains high strength during in situ high temperature tests, up to 1 GPa at 550°C, owing to those ...
Chunhua Tian, Amit Sharma, Krzysztof Wieczerzak, Alexander Groetsch, Manish Jain, Nicolò Maria della Ventura, Remo Widmer, Fedor F. Klimashin, Johann Michler, Jakob Schwiedrzik, Xavier Maeder   +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

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 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 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