Results 41 to 50 of about 33,164 (284)
Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India [PDF]
Hydrology and Earth System Sciences, 2022 GRACE (Gravity Recovery and Climate Experiment) and its follow-on mission have provided since 2002 monthly anomalies of total water storage (TWS), which are very relevant to assess the evolution of groundwater storage (GWS) at global and regional scales.
C. Pascal +5 more
doaj +1 more source
Comparison of data-driven methods for downscaling ensemble weather forecasts [PDF]
Hydrology and Earth System Sciences, 2008 This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical ...
Xiaoli Liu, P. Coulibaly, N. Evora
doaj
Progress in Earth and Planetary Science, 2018 The hybrid dynamical-statistical downscaling approach is an effort to combine the ability of dynamical downscaling to resolve fine-scale climate changes with the low computational cost of statistical downscaling.
Quan Tran Anh, Kenji Taniguchi
doaj +1 more source
Coordination of Regional Downscaling [PDF]
, 2020 Regional climate downscaling has been motivated by the objective to understand how climate processes not resolved by global models can influence the evolution of a region’s climate and by the need to provide climate change information to other sectors ...
Filippo Giorgi +3 more
core +1 more source
, 2020 Code repository for the paper "A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling" by Kevin Höhlein, Michael Kern, Timothy Hewson and Rüdiger ...
Michael Kern, Kevin Höhlein
core +1 more source
sif-downscaling-essd-supporting-data
, 2020 This repository contains supporting data associated to the following paper: Duveiller G., Filipponi F., Walther S., Köhler P., Frankenberg C., Guanter L., and Cescatti A. 2020.
Filipponi, Federico +7 more
core +1 more source
Adversarial images with downscaling [PDF]
, 2022 International audienceMost works on adversarial attacks consider small images whose size already fits the model. This paper explores attacking large images on classifiers with different input sizes. Downscaling is a necessary first step to adapt the size
Bas, Patrick +2 more
core +2 more sources
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
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 +3 more
wiley +1 more source
Stepwise Downscaling of ERA5-Land Reanalysis Air Temperature: A Case Study in Nanjing, China
Remote SensingReanalysis air temperature data, characterized by temporal continuity but limited spatial resolution, are commonly downscaled to achieve higher spatial resolution to meet the demands of regional climatological studies and related research fields. However,
Xuelian Li +3 more
doaj +1 more source