Results 51 to 60 of about 13,991,990 (295)

Modeling Subsurface Hydrology in Floodplains [PDF]

Water Resources Research, 2018
AbstractSoil‐moisture patterns in floodplains are highly dynamic, owing to the complex relationships between soil properties, climatic conditions at the surface, and the position of the water table. Given this complexity, along with climate change scenarios in many regions, there is a need for a model to investigate the implications of different ...
Cristina M. Evans, David G. Dritschel, Michael B. Singer   +2 more
openaire   +4 more sources

Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez Catchment in Southern France [PDF]

, 2012
The present study explores the application of a data assimilation (DA) procedure to correct the radar rain- fall inputs of an event-based, distributed, parsimonious hy- drological model.
Piacentini, Andrea, A. Piacentini, C. Bouvier, E. Harader, M. Coustau, Bouvier, Christophe, Borrell Estupina, Valérie, Borrell-Estupina, Valérie, V. Borrell-Estupina, O. Thual, Thual, Olivier, Ricci, Sophie, Coustau, Mathieu, S. Ricci, Harader, Elizabeth   +14 more
core   +2 more sources

Hybrid machine learning hydrological model for flood forecast purpose

Open Geosciences, 2020
Machine learning-based data-driven models have achieved great success since their invention. Nowadays, the artificial neural network (ANN)-based machine learning methods have made great progress than ever before, such as the deep learning and ...
Kan Guangyuan, Liang Ke, Yu Haijun, Sun Bowen, Ding Liuqian, Li Jiren, He Xiaoyan, Shen Chengji   +7 more
doaj   +1 more source

Comparing The Performance Of Two Hydrological Models, IHACRES And GR2M For Simulating Monthly Flow Of Dareh-Takht Basin [PDF]

علوم و مهندسی آبیاری, 2017
Modeling of the rainfall-runoff process is important. The Results of the rainfall-runoff models have been used directly on issues such as water resource management, flood control and design of hydraulic structures.
fatemeh zandi daregharibi, Zohreh Khorsandi, Malihe Mozayan, Nasim Arman   +3 more
doaj   +1 more source

Automatic Regionalization of Model Parameters for Hydrological Models

Water Resources Research, 2022
Abstract Parameter estimation is one of the most challenging tasks in large‐scale distributed modeling, because of the high dimensionality of the parameter space. Relating model parameters to catchment/landscape characteristics reduces the number of parameters, enhances physical realism, and allows the transfer of
Moritz Feigl, Stephan Thober, Robert Schweppe, Mathew Herrnegger, Luis E. Samaniego, Karsten Schulz   +5 more
openaire   +2 more sources

Simulating interactions between saturated and unsaturated storage in a conceptual runoff model [PDF]

, 2003
There is an increasing demand for modelling the fluxes of chemical constituents at the catchment scale. Conceptual runoff models provide a basis for such modelling tasks provided that they capture the essential hydrological processes.
Jan Seibert, Rodhe, Allan,, Bishop, Kevin, Seibert, Jan, Kevin Bishop, Seibert, J., Rodhe, Allan, Allan Rodhe   +7 more
core   +1 more source

Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming

Advanced Science, EarlyView.
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du, Zhixiang Niu, Yanfen Wang, Shirui Zhou, Youqing Yang, Xiang Wei, Haishan Niu, Yitao Zhang, Anquan Xia, Yali Liu, Yanbin Hao, Kai Xue, Bingfang Wu, Xinquan Zhao, Tandong Yao, Yiyu Chen   +15 more
wiley   +1 more source

Drought Stress Mediated Changes in Food Crops: Mechanisms and Remediation Strategies

Advanced Science, EarlyView.
This work presents a multi‐scale framework for flavonoid‐mediated drought tolerance in staple food crops, integrating ROS redox regulation, antioxidant defense, rhizosphere microbial interactions, and sustainable agronomic practices. This interdisciplinary model provides core insights to develop climate‐resilient cropping systems and enhance global ...
Xiaoyi Duan, Litao Wang, Tuuli‐Marjaana Koski, Lizhe An, Thomas Efferth, Yujie Fu   +5 more
wiley   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures [PDF]

, 2011
"An operational hydrological ensemble forecasting system based on a meteorological ensemble prediction system (M-EPS) coupled with a hydrological model searches to capture the uncertainties associated with the meteorological prediction to better predict ...
Juan Alberto Velazquez
core   +1 more source