A review of downscaling methods of satellite-based precipitation estimates

A Abdollahipour, H Ahmadi, B Aminnejad - Earth Science Informatics, 2022 - Springer
Satellite remote sensing is the main tool for estimating precipitation over areas with sparse
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …

[HTML][HTML] Improving flood forecasting in Narmada river basin using hierarchical clustering and hydrological modelling

D Mehta, J Dhabuwala, SM Yadav, V Kumar… - Results in …, 2023 - Elsevier
The purpose of the study was to use hierarchical clustering and Thiessen polygon
algorithms to identify the significant rain gauge stations for flood forecasting at Sardar …

[HTML][HTML] Combining downscaled-GRACE data with SWAT to improve the estimation of groundwater storage and depletion variations in the Irrigated Indus Basin (IIB)

A Arshad, A Mirchi, M Samimi, B Ahmad - Science of the Total Environment, 2022 - Elsevier
The growth of agricultural production systems is a major driver of groundwater depletion
worldwide. Balancing groundwater supply and food production requires localized …

Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area

O Zandi, B Zahraie, M Nasseri, A Behrangi - Atmospheric Research, 2022 - Elsevier
This study applied a stacked generalization ensemble approach to generate high-resolution
precipitation estimates and compared its performance with an optimized local weighted …

A GWR downscaling method to reconstruct high-resolution precipitation dataset based on GSMaP-Gauge data: A case study in the Qilian Mountains, Northwest China

H Wang, F Zang, C Zhao, C Liu - Science of the Total Environment, 2022 - Elsevier
Accurate precipitation data are crucial for hydrological, meteorological, and ecological
research. However, it is difficult to obtain high-precision and high-resolution spatiotemporal …

[HTML][HTML] A two-step merging strategy for incorporating multi-source precipitation products and gauge observations using machine learning classification and …

H Lei, H Zhao, T Ao - Hydrology and Earth System Sciences, 2022 - hess.copernicus.org
Although many multi-source precipitation products (MSPs) with high spatiotemporal
resolution have been extensively used in water cycle research, they are still subject to …

The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain

S Ali, J Ran, Y Luan, B Khorrami, Y Xiao… - Science of The Total …, 2024 - Elsevier
Groundwater storage and depletion fluctuations in response to groundwater availability for
irrigation require understanding on a local scale to ensure a reliable groundwater supply …

[HTML][HTML] Evaluation of Satellite-Derived Precipitation Products for Streamflow Simulation of a Mountainous Himalayan Watershed: A Study of Myagdi Khola in Kali …

A Aryal, TND Tran, B Kumar, V Lakshmi - Remote Sensing, 2023 - mdpi.com
This study assesses four Satellite-derived Precipitation Products (SPPs) that are corrected
and validated against gauge data such as Soil Moisture to Rain—Advanced SCATterometer …

[HTML][HTML] Review on spatial downscaling of satellite derived precipitation estimates

M Kofidou, S Stathopoulos, A Gemitzi - Environmental Earth Sciences, 2023 - Springer
The present work aims at reviewing and identifying gaps in knowledge and future
perspectives of satellite-derived precipitation downscaling algorithms. Here, various aspects …

[HTML][HTML] Combining APHRODITE rain gauges-based precipitation with downscaled-TRMM data to translate high-resolution precipitation estimates in the indus basin

R Noor, A Arshad, M Shafeeque, J Liu, A Baig, S Ali… - Remote Sensing, 2023 - mdpi.com
Understanding the pixel-scale hydrology and the spatiotemporal distribution of regional
precipitation requires high precision and high-resolution precipitation data. Satellite-based …