[HTML][HTML] Advancing hydrology through machine learning: insights, challenges, and future directions using the CAMELS, caravan, GRDC, CHIRPS, PERSIANN, NLDAS …

F Hasan, P Medley, J Drake, G Chen - Water, 2024 - mdpi.com
Machine learning (ML) applications in hydrology are revolutionizing our understanding and
prediction of hydrological processes, driven by advancements in artificial intelligence and …

Evaluating the effectiveness of CHIRPS data for hydroclimatic studies

H Du, ML Tan, F Zhang, KP Chun, L Li… - Theoretical and Applied …, 2024 - Springer
Long-term gridded precipitation products (GPPs) are crucial for climatology and hydrological
research to overcome the limitations of gauge observations. Climate Hazards Group …

Spatiotemporal variability and trends of rainfall and its association with Pacific Ocean Sea surface temperature in West Harerge Zone, Eastern Ethiopia

G Bayable, G Amare, G Alemu, T Gashaw - Environmental Systems …, 2021 - Springer
Background Rainfall variability exceedingly affects agriculture in Ethiopia, particularly in the
eastern region where rainfall is relatively scarce. Hence, understanding the spatiotemporal …

Impacts of climate and land use change on hydrological response in Gumara Watershed, Ethiopia

A Teklay, YT Dile, DH Asfaw, HK Bayabil… - Ecohydrology & …, 2021 - Elsevier
Climate and land-use change affect the hydrologic cycle by altering the hydrological
responses including streamflow (SF), surface runoff (SR), base-flow (BF), and …

Analysis of the impacts of land use land cover change on streamflow and surface water availability in Awash Basin, Ethiopia

H Maru, A Haileslassie, T Zeleke… - … , Natural Hazards and …, 2023 - Taylor & Francis
The current study analyzed the impact of Land Use Land Cover (LULC) change on
streamflow and surface water availability in the Akaki catchment of the Awash Basin …

[HTML][HTML] Application of satellite and reanalysis precipitation products for hydrological modeling in the data-scarce Porijõgi catchment, Estonia

DM Moges, A Kmoch, E Uuemaa - Journal of Hydrology: Regional Studies, 2022 - Elsevier
Abstract Study region The Porijõgi catchment in Estonia, Northern Europe. Study focus The
lack of adequate precipitation gauges has long been a major obstacle for hydrological …

A simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment

A Kumar, R Ramsankaran, L Brocca… - Journal of Hydrology, 2021 - Elsevier
Real-time streamflow modeling is a challenging endeavor in regions where real-time ground-
based hydro-meteorological observations are scarce. Nevertheless, with the emergence of …

[HTML][HTML] Spatio-temporal hydro-climate variability in Omo-Gibe river Basin, Ethiopia

FA Anose, KT Beketie, TT Zeleke, DY Ayal, GL Feyisa - Climate Services, 2021 - Elsevier
Hydroclimatic variables have changed globally mainly due to human intervention; those
hydroclimatic changes alter the distribution behavior of rainfall and temperature at different …

Evaluation of climate hazards group infrared precipitation station (CHIRPS) satellite‐based rainfall estimates over Finchaa and Neshe Watersheds, Ethiopia

CD Geleta, TA Deressa - Engineering Reports, 2021 - Wiley Online Library
Recent advancements in the field of remote sensing have led to the development of high
resolution satellite‐based rainfall products to improve the quality of observed rainfall data …

[HTML][HTML] Implications of water abstraction on the interconnected Central Rift Valley Lakes sub-basin of Ethiopia using WEAP

DW Goshime, AT Haile, T Rientjes, R Absi… - Journal of Hydrology …, 2021 - Elsevier
Abstract Study region Central Rift Valley Lakes sub-basin, Ethiopia. Study focus The
competition for water is rapidly increasing in Central Rift Valley lakes sub-basin due to the …