[HTML][HTML] Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation System (IBIS)

S Ali, B Khorrami, M Jehanzaib, A Tariq, M Ajmal… - Remote Sensing, 2023 - mdpi.com
Climate change may cause severe hydrological droughts, leading to water shortages which
will require to be assessed using high-resolution data. Gravity Recovery and Climate …

Constructing high-resolution groundwater drought at spatio-temporal scale using GRACE satellite data based on machine learning in the Indus Basin

S Ali, D Liu, Q Fu, MJM Cheema, SC Pal, A Arshad… - Journal of …, 2022 - Elsevier
The complicated phenomenon induced by inadequate precipitation is a drought that impacts
water resources and human life. Traditional methods to assess groundwater drought events …

[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 …

Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review

V Nourani, NJ Paknezhad, A Ag, Z Wen… - Groundwater for …, 2024 - Elsevier
Abstract The Gravity Recovery and Climate Experiment (GRACE) data has brought
significant advancements in groundwater (GW) analysis by providing crucial information …

[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review

A Bamal, MG Uddin, AI Olbert - Heliyon, 2024 - cell.com
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …

Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential

B Khorrami, S Pirasteh, S Ali, OG Sahin… - Journal of …, 2023 - Elsevier
Abstract The Gravity Recovery and Climate Experiment (GRACE) paved the way for large-
scale monitoring of the hydrological extremes. However, local scale analysis is aslo …

[HTML][HTML] Evaluating groundwater storage change and recharge using GRACE data: A case study of aquifers in Niger, West Africa

SA Barbosa, ST Pulla, GP Williams, NL Jones… - Remote Sensing, 2022 - mdpi.com
Accurately assessing groundwater storage changes in Niger is critical for long-term water
resource management but is difficult due to sparse field data. We present a study of …

Investigating the local-scale fluctuations of groundwater storage by using downscaled GRACE/GRACE-FO JPL mascon product based on machine learning (ML) …

B Khorrami, S Ali, O Gündüz - Water Resources Management, 2023 - Springer
Groundwater storage is of grave significance for humanity by sustaining the required water
for agricultural irrigation, industry, and domestic use. Notwithstanding the impressive …

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] Spatial downscaling and gap-filling of SMAP soil moisture to high resolution using MODIS surface variables and machine learning approaches over …

AA Nadeem, Y Zha, L Shi, S Ali, X Wang, Z Zafar… - Remote Sensing, 2023 - mdpi.com
High-resolution soil moisture (SM) information is essential for regional to global hydrological
and agricultural applications. The Soil Moisture Active Passive (SMAP) offers daily global …