Results 111 to 120 of about 2,677,857 (208)

Trend Analysis of Hydro-Meteorological Variables in the Wadi Ouahrane Basin, Algeria

Hydrology
In recent decades, a plethora of natural disasters, including floods, storms, heat waves, droughts, and various other weather-related events, have brought destruction worldwide.
Mohammed Achite, Tommaso Caloiero, Andrzej Wałęga, Alessandro Ceppi, Abdelhak Bouharira   +4 more
doaj   +1 more source

Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau [PDF]

Hydrology and Earth System Sciences
The major rivers on the Tibetan Plateau supply important freshwater resources to riparian regions but have been undergoing significant climate change in recent decades.
Y. Nan, Y. Nan, F. Tian, F. Tian
doaj   +1 more source

Assessment of Saturated Hydraulic Conductivity‐Depth Relationships and Extended Soil Column Thickness in Catchment Hydrological Modelling

Hydrological Processes, Volume 39, Issue 5, May 2025.
We assessed the extension of the soil column in gridded catchment rainfall–runoff modelling as an approach to sufficiently capture the shallow groundwater system and its interaction with the rest of the catchment hydrological processes. We implemented and assessed different vertical profiles of saturated hydraulic conductivity that exceed the typical ...
Raul Mendoza, Willem van Verseveld, Chris Seijger, Albrecht Weerts   +3 more
wiley   +1 more source

Variability in Hydrologic Response to Wildfire Between Snow Zones in Forested Headwaters

Hydrological Processes, Volume 39, Issue 5, May 2025.
Model results showed that a stormflow response was more likely in the high snow zone (HSZ) than in the low snow zone (SZ)L, likely due to the higher soil moisture content. Rainfall intensity was a good predictor of the magnitude of the stormflow response, whereas burn category influenced the lag to peak times.
Q. M. Miller, D. M. Barnard, M. G. Sears, J. C. Hammond, S. K. Kampf   +4 more
wiley   +1 more source

A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM [PDF]

arXiv
Significant strides have been made in advancing streamflow predictions, notably with the introduction of cutting-edge machine-learning models. Predominantly, Long Short-Term Memories (LSTMs) and Convolution Neural Networks (CNNs) have been widely employed in this domain.
arxiv  

Analysis of Rainfall records in India: Self Organized Criticality and Scaling [PDF]

arXiv, 2005
The time series data of the monthly rainfall records (for the time period 1871-2002) in All India and different regions of India are analyzed. It is found that the distributions of the rainfall intensity exhibit perfect power law behavior. The scaling analysis revealed two distinct scaling regions in the rainfall time series.
arxiv  

Advancing the Reliability of Future Hydrological Projections in a Snow‐Dominated Alpine Watershed: Integrating Uncertainty Decomposition and CycleGAN Bias Correction

Earth's Future, Volume 13, Issue 5, May 2025.
Abstract Given the sensitivity of snow to climate change and its critical role in the hydrological cycle of alpine regions, it is essential to reduce biases in meteorological forces for driving hydrological models. This study, taking the Manas River Basin (MRB) in Xinjiang China as the test bed, aims to quantify the uncertainties in hydrometeorological
Tao Su, Zhu Liu, Qingyun Duan, Xinwei Mao, Weidong Xu   +4 more
wiley   +1 more source

Remotely Sensed High‐Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society

Water Resources Research, Volume 61, Issue 5, May 2025.
Abstract This paper reviews the current state of high‐resolution remotely sensed soil moisture (SM) and evapotranspiration (ET) products and modeling, and the coupling relationship between SM and ET. SM downscaling approaches for satellite passive microwave products leverage advances in artificial intelligence and high‐resolution remote sensing using ...
Jingyi Huang, Vinit Sehgal, Laura V. Alvarez, Luca Brocca, Shuohao Cai, Rui Cheng, Xinghua Cheng, Jinyang Du, Bassil El Masri, K. Arthur Endsley, Yilin Fang, Jie Hu, Mahesh Jampani, Md Golam Kibria, Gerbrand Koren, Lingcheng Li, Laibao Liu, Jiafu Mao, Hernan A. Moreno, Angela Rigden, Mingjie Shi, Xiaoying Shi, Yaoping Wang, Xi Zhang, Joshua B. Fisher   +24 more
wiley   +1 more source

Spatio-temporal Causal Learning for Streamflow Forecasting [PDF]

arXiv
Streamflow plays an essential role in the sustainable planning and management of national water resources. Traditional hydrologic modeling approaches simulate streamflow by establishing connections across multiple physical processes, such as rainfall and runoff.
arxiv  

Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability

Water Resources Research, Volume 61, Issue 5, May 2025.
Abstract Accurately predicting sediment dynamics and understanding their intrinsic contributors are pivotal for sustainable environment and water management. While machine learning (ML) enables precise predictions, its “black‐box” nature hinders transparency and credibility, posing challenges in interpretability and uncertainty quantification (UQ).
Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi   +6 more
wiley   +1 more source