Results 11 to 20 of about 12,074 (267)

Impacts of Horizontal Resolution of the Lateral Boundary Conditions and Downscaling Method on the Performance of RegCM4.6 in Simulating the Surface Climate Over Central‐Eastern China

Earth and Space Science, 2022
This study investigated the impacts of horizontal resolution of lateral boundary condition (LBC) and downscaling method on the performance of RegCM4.6 in simulating the 2 m air temperature and precipitation over central eastern China.
Xiaoke Xu, Anning Huang, Qian Huang, Yan Zhang, Yang Wu, Chunlei Gu, Shuxin Cai, Xueyan Zhu   +7 more
doaj   +1 more source

Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution

Advances in Meteorology, 2022
The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu, Zhihua Zhang, M. James C. Crabbe, Lipon Chandra Das   +3 more
doaj   +1 more source

GRACE Downscaler: A Framework to Develop and Evaluate Downscaling Models for GRACE

Remote Sensing, 2023
Monitoring and managing groundwater resources is critical for sustaining livelihoods and supporting various human activities, including irrigation and drinking water supply. The most common method of monitoring groundwater is well water level measurements.
Sarva T. Pulla, Hakan Yasarer, Lance D. Yarbrough   +2 more
openaire   +4 more sources

An Improved Approach for Downscaling Coarse-Resolution Thermal Data by Minimizing the Spatial Averaging Biases in Random Forest

Remote Sensing, 2020
Land surface temperature (LST) plays a fundamental role in various geophysical processes at varying spatial and temporal scales. Satellite-based observations of LST provide a viable option for monitoring the spatial-temporal evolution of these processes.
Sammy M. Njuki, Chris M. Mannaerts, Zhongbo Su   +2 more
doaj   +1 more source

A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation

Remote Sensing, 2022
Remote sensing soil moisture (SM) has been widely used in various earth science studies and applications, but their low resolution limits their usage and downscaling of them is needed.
Taoning Mao, Wei Shangguan, Qingliang Li, Lu Li, Ye Zhang, Feini Huang, Jianduo Li, Wei Liu, Ruqing Zhang   +8 more
doaj   +1 more source

Evaluation of statistical downscaling model's performance in projecting future climate change scenarios

Journal of Water and Climate Change, 2023
Statistical downscaling (SD) is preferable to dynamic downscaling to derive local-scale climate change information from large-scale datasets. Many statistical downscaling models are available these days, but comparison of their performance is still ...
Rituraj Shukla, Deepak Khare, Anuj Kumar Dwivedi, Ramesh Pal Rudra, Santosh S. Palmate, C. S. P. Ojha, Vijay P. Singh   +6 more
doaj   +1 more source

Output Domain Downscaler [PDF]

, 2016
This paper offers an area-efficient video downscaler hardware architecture, which we call Output Domain Downscaler (ODD). ODD is demonstrated through an implementation of the bilinear interpolation method combined with Edge Detection and Sharpening Spatial Filter.
Mert Büyükmihçi, Vecdi Emre Levent, Aydin Emre Guzel, Özgür Ates, Mustafa Tosun, Toygar Akgün, Cengiz Erbas, Sezer Gören 0001, Hasan Fatih Ugurdag   +8 more
openaire   +2 more sources

Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia [PDF]

Proceedings of the International Association of Hydrological Sciences, 2015
Downscaling of climate projections is the most adopted method to assess the impacts of climate change at regional and local scale. In the last decade, downscaling techniques which provide reasonable improvement to resolution of General Circulation ...
H. M. S. M. Herath, P. R. Sarukkalige, V. T. V. Nguyen   +2 more
doaj   +1 more source

PreciPatch: A Dictionary-based Precipitation Downscaling Method

Remote Sensing, 2020
Climate and weather data such as precipitation derived from Global Climate Models (GCMs) and satellite observations are essential for the global and local hydrological assessment.
Mengchao Xu, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M Putman, Mark Carroll, Tsengdar Lee, Chaowei Yang   +8 more
doaj   +1 more source

Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on Machine Learning Method

Remote Sensing, 2021
Downscaling microwave remotely sensed soil moisture (SM) is an effective way to obtain spatial continuous SM with fine resolution for hydrological and agricultural applications on a regional scale.
Hao Sun, Yajing Cui
doaj   +1 more source