Results 81 to 90 of about 33,164 (284)

A downscaling algorithm for obtaining hourly gross primary productivity maps at the global scale

International Journal of Applied Earth Observations and Geoinformation
Monitoring global vegetation gross primary productivity (GPP) at an hourly scale is critical for understanding terrestrial carbon dynamics, while recent global GPP products often suffer from limitations in their temporal resolutions.
Yong Wang, Jiyan Wang, Wei Zhao, Yanqing Yang, Jiujiang Wu, Xiaobin Guan, Xinyao Xie   +6 more
doaj   +1 more source

Evaluation of dynamical downscaling prediction of BCC second-generation model system product to precipitation over Chongqing during the flood season of 2016

暴雨灾害, 2019
To evaluate the dynamical downscaling prediction skill on the averaged precipitation in flood season over Chongqing, using WRF model based on Beijing Climate Center (BCC) second-generation seasonal prediction model system (BCCv2) product, we have ...
Haonan ZHU, Xiaoran LIU, Yao WU, Xinning DONG, Hongyu TANG, Bingyan CHENG   +5 more
doaj   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

PhySoilNet: A deep learning downscaling model for microwave satellite soil moisture with physical rule constraint

International Journal of Applied Earth Observations and Geoinformation
Surface soil moisture (SM) plays an important role in water and energy cycles. Passive microwave remote sensing observation has become the main means of obtaining large-scale surface SM.
Zhenheng Xu, Hao Sun, JinHua Gao, Yunjia Wang, Dan Wu, Tian Zhang, Huanyu Xu   +6 more
doaj   +1 more source

Do More Open Economies Export Less Diversely in Brazilian Agribusiness?

Agribusiness, EarlyView.
ABSTRACT This paper asks whether municipalities with a larger export‐to‐revenue ratio display a more concentrated bundle of exported goods in Brazilian agribusiness. Recent advances in export imputation for Brazilian municipalities allow for an analysis of the concentration profile of each municipality and its association with export openness.
Alan Leal, Michelle Marcia Viana Martins
wiley   +1 more source

Study on the Effect of Shortwave Radiation in Land Surface Temperature Downscaling over Rugged Terrain

Remote Sensing
Land surface temperature (LST) is an important parameter in the surface system with drastic variation in spatial and temporal domains. The protection of the ecological environment in mountainous areas and the monitoring of natural disasters require the ...
Shumin Wang, Jie Cheng, Qiang Liu
doaj   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

A New Surface Waters Downscaling Approach Applicable at Global Scale

Remote Sensing
A surface water extent downscaling framework was developed in the past using a floodability index based on topography. We presented here a new downscaling approach including several improvements.
Thu-Hang Nguyen, Filipe Aires
doaj   +1 more source

Bivariate Downscaling With Asynchronous Measurements

, 2012
Statistical downscaling is a useful technique to localize global or regional climate model projections to assess the potential impact of climate changes.
He, Xuming, Yang, Yunwen, Zhang, Jingfei   +2 more
core   +1 more source