Results 51 to 60 of about 84,381 (353)

Errors in climate model daily precipitation and temperature output: time invariance and implications for bias correction [PDF]

, 2013
When correcting for biases in general circulation model (GCM) output, for example when statistically downscaling for regional and local impacts studies, a common assumption is that the GCM biases can be characterized by comparing model simulations and ...
Cayan, Daniel R., Das, Tapash, Maurer, Edwin P.   +2 more
core   +3 more sources

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

Comparison of different downscaling schemes for obtaining regional high-resolution soil moisture data

International Journal of Applied Earth Observations and Geoinformation
Obtaining regional fine-scale daily Soil Moisture (SM) data is crucial for better understanding carbon and water cycles. Currently, downscaling from passive microwave SM products has become the most commonly utilized approach for generating regional high-
Yulin Shangguan, Cheng Tong, Zhou Shi, Hongquan Wang, Xiaodong Deng   +4 more
doaj   +1 more source

Analysis of the impact of climate change on groundwater related hydrological fluxes: a multi-model approach including different downscaling methods [PDF]

Hydrology and Earth System Sciences, 2011
Climate change related modifications in the spatio-temporal distribution of precipitation and evapotranspiration will have an impact on groundwater resources.
S. Stoll, H. J. Hendricks Franssen, M. Butts, W. Kinzelbach   +3 more
doaj   +1 more source

Downscaling SMAP Soil Moisture Products With Convolutional Neural Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Soil moisture (SM) downscaling has been extensively investigated in recent years to improve coarse resolution of SM products. However, available methods for downscaling are generally based on pixel-to-pixel strategy, which ignores the information among ...
Wei Xu, Zhaoxu Zhang, Zehao Long, Qiming Qin   +3 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

A Hybrid Statistical Downscaling Framework Based on Nonstationary Time Series Decomposition and Machine Learning

Earth and Space Science, 2022
Downscaling techniques are effective to bridge the scale gap between global circulation models and regional studies. Statistical downscaling methods are prevalent due to their advantages in high computational efficiency and accuracy. However, an implicit
Xintong Li, Xiaodong Zhang, Shuguang Wang   +2 more
doaj   +1 more source

Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet

Advanced Materials, EarlyView.
Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens, Francisco Romero‐Lara, Trisha Sai, Kalyan Biswas, Manuel Vilas‐Varela, Thomas Frederiksen, Diego Peña, Fabian Schulz, Jose Ignacio Pascual   +8 more
wiley   +1 more source

Comparing Regression Techniques for Temperature Downscaling in Different Climate Classifications

Engineering Proceedings, 2023
This study aims to identify the optimal regression techniques for downscaling among ten commonly used methods in climatology, including SVR, LinearSVR, LASSO, LASSOCV, Elastic Net, Bayesian Ridge, RandomForestRegressor, AdaBoost Regressor, KNeighbors ...
Ali Ilghami Kkhosroshahi, Mohammad Bejani, Hadi Pourali, Arman Hosseinpour Salehi   +3 more
doaj   +1 more source

Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities

, 2019
We propose a probabilistic model for refining coarse-grained spatial data by utilizing auxiliary spatial data sets. Existing methods require that the spatial granularities of the auxiliary data sets are the same as the desired granularity of target data.
Iwata, Tomoharu, Kurashima, Takeshi, Okawa, Maya, Tanaka, Toshiyuki, Tanaka, Yusuke, Toda, Hiroyuki   +5 more
core   +1 more source