Results 31 to 40 of about 12,074 (267)

Application of Gaofen-6 Images in the Downscaling of Land Surface Temperatures

Remote Sensing, 2022
The coarse resolution of land surface temperatures (LSTs) retrieved from thermal-infrared (TIR) satellite images restricts their usage. One way to improve the resolution of such LSTs is downscaling using high-resolution remote sensing images.
Xiaoyuan Li, Xiufeng He, Xin Pan
doaj   +1 more source

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, S. Ferrant, A. Selles, J.-C. Maréchal, A. Paswan, O. Merlin   +5 more
doaj   +1 more source

Comparison of Three Statistical Downscaling Methods and Ensemble Downscaling Method Based on Bayesian Model Averaging in Upper Hanjiang River Basin, China

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, Di Yuan, Liping Zhang, Xia Zou, Xingyuan Song   +4 more
doaj   +1 more source

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, J. De Niel, P. Willems, P. Willems   +3 more
doaj   +1 more source

Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Deep networks have achieved great success in image rescaling (IR) task that seeks to learn the optimal downscaled representations, i.e., low-resolution (LR) images, to reconstruct the original high-resolution (HR) images. Compared with super-resolution methods that consider a fixed downscaling scheme, e.g., bicubic, IR often achieves significantly ...
Bingna Xu, Yong Guo, Luoqian Jiang, Mianjie Yu, Jian Chen 0011   +4 more
openaire   +2 more sources

Coupling dynamical and statistical downscaling for high-resolution rainfall forecasting: case study of the Red River Delta, Vietnam

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

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  

Demonstrating Vibrational Current Generation With a Self‐Assembled Bioelectret

Advanced Functional Materials, EarlyView.
Vacuum‐deposited films of the plant‐derived molecule, Baicalein, form a self‐assembled bioelectret exhibiting spontaneous orientation polarization and a giant surface potential. The films induce alternating current during the vibration of a movable electrode without charging treatments. Hydrocarbon protection enhances the air stability of the Baicalein
Kouki Akaike, Yukihiro Shimoi, Qingshuo Wei, Yutaro Ono, Satomi Hosono, Yoichi Yamada, Haruhisa Akiyama, Shunsuke Tanaka   +7 more
wiley   +1 more source

Stepwise Downscaling of ERA5-Land Reanalysis Air Temperature: A Case Study in Nanjing, China

Remote Sensing
Reanalysis 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, Guixin Zhang, Shanyou Zhu, Yongming Xu   +3 more
doaj   +1 more source

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, Ming Xue, Renee A. McPherson, Elinor Martin, Derek H. Rosendahl, Lei Qiao   +5 more
doaj   +1 more source