Results 21 to 30 of about 11,549 (247)
Advances in Meteorology, 2016 Many downscaling techniques have been developed in the past few years for projection of station-scale hydrological variables from large-scale atmospheric variables to assess the hydrological impacts of climate change.
Jiaming Liu +4 more
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Uncovering the shortcomings of a weather typing method [PDF]
Hydrology and Earth System Sciences, 2020 In recent years many methods for statistical downscaling of the precipitation climate model outputs have been developed. Statistical downscaling is performed under general and method-specific (structural) assumptions but those are rarely evaluated ...
E. Van Uytven +3 more
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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
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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
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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
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Precipitation Dynamical Downscaling Over the Great Plains
Journal of Advances in Modeling Earth Systems, 2018 Detailed, regional climate projections, particularly for precipitation, are critical for many applications. Accurate precipitation downscaling in the United States Great Plains remains a great challenge for most Regional Climate Models, particularly for ...
Xiao‐Ming Hu +5 more
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MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
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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 +10 more
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Scientific Reports, 2023 Ensemble simulations of climate models are used to assess the impact of climate change on precipitation, and require downscaling at the local scale. Statistical downscaling methods have been used to estimate daily and monthly precipitation from observed ...
Takao Yoshikane, Kei Yoshimura
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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 +3 more
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