Results 61 to 70 of about 10,908 (283)

A discussion of some aspects of statistical downscaling in climate impacts assessment

Shui kexue jinzhan, 2012
Global Climate Models(GCMs) are the primary tools for understanding how the global climate might change in the future.However,the relatively low spatial resolution of GCMs outputs is unsatisfactory for the local-scale climate impact assessments.Compared ...
LIU Chang-ming, LIU Wen-bin, FU Guo-bin, OUYANG Ru-lin   +3 more
doaj   +1 more source

Estimation of Spatially Detailed Electricity Demands Using Spatial Statistical Downscaling Techniques [PDF]

, 2015
Although city scale aggregate electricity demands are usually estimated by multiplying intensity data by floor space, in Japan there are few available sources for municipality level building stock (floor space) data.
Yamagata, Yoshiki, Seya, Hajime, Murakami, Daisuke   +2 more
core   +1 more source

Meniscus‐Guided Interfacial Ring‐by‐Ring Assembly for In Situ Fabrication of Tubular Hydrogels

Advanced Materials, EarlyView.
A tubular hydrogel fabrication method leveraging the meniscus effect at the oil‐water interface is presented. UV irradiation across the concave surface of the photocurable hydrogel precursor induces the formation of ring‐like hydrogel structures. Sequential ring‐by‐ring assembly within microchannels enables the construction of arteriole‐scale hydrogel ...
Yuki Kamiya, Yingzhe Wang, Keisuke Morishima   +2 more
wiley   +1 more source

A Downscaling Method of TRMM Satellite Precipitation Based on Geographically Neural Network Weighted Regression: A Case Study in Sichuan Province, China

Atmosphere
Spatial downscaling is an effective way to improve the spatial resolution of precipitation products. However, the existing methods often fail to adequately consider the spatial heterogeneity and complex nonlinearity between precipitation and surface ...
Ge Zheng, Nan Zhang, Laifu Zhang, Yijun Chen, Sensen Wu   +4 more
doaj   +1 more source

A Machine Learning-Based Geostatistical Downscaling Method for Coarse-Resolution Soil Moisture Products

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The surface soil moisture (SSM) products derived from microwave remote sensing have a coarse spatial resolution; therefore, downscaling is required to obtain accurate SSM at high spatial resolution. An effective way to handle the stratified heterogeneity
Yan Jin, Yong Ge, Yaojie Liu, Yuehong Chen, Haitao Zhang, Gerard B. M. Heuvelink   +5 more
doaj   +1 more source

Spatial random downscaling of rainfall signals in Andean heterogeneous terrain [PDF]

, 2015
Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes.
Yarleque, C., A. Posadas, Espinosa, LA Duffaut, Carvalho, L, Duffaut Espinoza, L.A., Heidinger, H, L. A. Duffaut Espinosa, Heidinger, Haline, Carbajal, M., Carvalho, L., Jones, C., C. Jones, M. Carbajal, Posadas, A., Carbajal, M, L. Carvalho, Posadas, A, Jones, C, C. Yarlequé, H. Heidinger, Quiroz, R, Quiróz, R., R. Quiroz, Yarlequé, C   +23 more
core   +1 more source

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

Advanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase, Varsha C. Pujari, Akash V. Fulari, Sunil M. Patange, Sean Li, Danyang Wang, Sagar E. Shirsath   +6 more
wiley   +1 more source

Analisis Pola Spatio-Temporal dan Komparasi Hasil Dowscaling CCAM (Conformal Cubic Atmospheric Model) Untuk Parameter Curah Hujan 3 Jam-an [PDF]

, 2016
Validation and comparison are necessary to analyze and evaluate the performance of the model atmosphere. The comparison is carried out between model outputs with observed data or satellite. Downscaling is used to obtain data with high spatial resolution.
Haries Satyawardhana
core  

Unveiling the Hidden Geometry of OECTs: Contact‐Semiconductor Overlap Driven Errors in Volumetric Capacitance

Advanced Materials Technologies, EarlyView.
This work examines how contact–semiconductor overlap influences volumetric capacitance extraction in organic electrochemical transistors as device dimensions shrink. It shows that neglecting overlap leads to systematic, geometry‐driven errors in capacitance values.
Renan Colucci, Marcos Luginieski, Germán D. Gómez Higuita, Gerwin Dijk, Bianca de A. Feitosa, Yaakov Tuchman, Alberto Salleo, Gregório Couto Faria   +7 more
wiley   +1 more source

Downscaling in remote sensing [PDF]

, 2013
Downscaling has an important role to play in remote sensing. It allows prediction at a finer spatial resolution than that of the input imagery, based on either (i) assumptions or prior knowledge about the character of the target spatial variation coupled
Atkinson, Peter M.
core   +1 more source