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Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area
This study applied a stacked generalization ensemble approach to generate high-resolution
precipitation estimates and compared its performance with an optimized local weighted …
precipitation estimates and compared its performance with an optimized local weighted …
Optimization of rain gauge networks—a systematic literature review
Rain gauge is the standard instrument for ground-based precipitation measurements and
rain gauge networks play an important role in the monitoring of disasters caused by heavy …
rain gauge networks play an important role in the monitoring of disasters caused by heavy …
A locally weighted linear ridge regression framework for spatial interpolation of monthly precipitation over an orographically complex area
This article aimed to investigate the potential of using three large‐scale precipitation
products (PPs), including TRMM, ERA5‐Land, and MSWEP, and two land surface …
products (PPs), including TRMM, ERA5‐Land, and MSWEP, and two land surface …
Application of statistical and geostatistical approaches in temporal and spatial estimations of rainfall
This study is the first study that worked on the temporal and spatial distributions of annual
rainfall (P year) and maximum 24-h rainfall (P max24h) in the Semnan province. For this …
rainfall (P year) and maximum 24-h rainfall (P max24h) in the Semnan province. For this …
Uncertainty-based rainfall network design using a fuzzy spatial interpolation method
The importance of optimization of rain gauge stations locations is critical given that rainfall
data is central to various water-related studies. As rainfall data has vagueness in nature …
data is central to various water-related studies. As rainfall data has vagueness in nature …
Assessment of the weather research and forecasting model in simulation of rainfall for Khorasan Razavi Province, Iran
R Sarvestan, M Karami, RJ Sabbaghian - Arabian Journal of Geosciences, 2022 - Springer
This paper aims to assess and simulate rainfall in the cities of Khorasan Razavi Province to
warn and control floods using the Weather Research and Forecasting (WRF) model. For this …
warn and control floods using the Weather Research and Forecasting (WRF) model. For this …
Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization …
Precipitation is a key constituent of the water cycle and its accurate measurement is
essential for a wide range of hydroclimatic studies. Although advances in technology have …
essential for a wide range of hydroclimatic studies. Although advances in technology have …
Improving spatial estimation of hydrologic attributes via optimized moving search strategies
The anisotropy and directional variation of spatial attributes is one of the most important
challenges in spatial estimation of environmental features. This problem received a suitable …
challenges in spatial estimation of environmental features. This problem received a suitable …
New optimization methods for designing rain stations network using new neural network, election, and whale optimization algorithms by combining the Kriging method
M Safavi, AK Siuki, SR Hashemi - Environmental Monitoring and …, 2021 - Springer
In many studies of water and hydrological sources, estimation of the spatial distribution of
precipitation based on point data recorded in rain gauge stations is of particular importance …
precipitation based on point data recorded in rain gauge stations is of particular importance …
Evaluation of information transfer and data transfer models of rain-gauge network design based on information entropy
Rainfall is one of the most fundamental components of the water cycle and is one of the
fundamental inputs of hydrological models. A well-designed network can not only depict the …
fundamental inputs of hydrological models. A well-designed network can not only depict the …