Results 21 to 30 of about 14,271 (265)

Role of forcing uncertainty and background model error characterization in snow data assimilation [PDF]

Hydrology and Earth System Sciences, 2017
Accurate specification of the model error covariances in data assimilation systems is a challenging issue. Ensemble land data assimilation methods rely on stochastic perturbations of input forcing and model prognostic fields for developing ...
S. V. Kumar, J. Dong, C. D. Peters-Lidard, D. Mocko, D. Mocko, B. Gómez   +5 more
doaj   +1 more source

Modelamiento hidrológico espacialmente distribuido: una revisión de sus componentes, niveles de integración e implicaciones en la estimación de procesos hidrológicos en cuencas no instrumentadas

Investigaciones Geográficas, 2001
This article reviews and discusses the remote sensing (RS) techniques and geographic information systems (GIS), as well as the geomorphological knowledge associated to spatially distributed hydrological modeling.
Manuel Mendoza, Gerardo Bocco, Miguel Bravo   +2 more
doaj   +1 more source

Assessment of land cover resolution impact on flood modeling uncertainty

Hydrology Research, 2021
The main objective of this paper is to evaluate the impact of land cover resolution, in comparison with the digital elevation model (DEM) resolution, on hydrological modeling outputs. Three different basins in the various resolutions of DEM (12.5, 25, 50,
Jihui Fan, Majid Galoie, Artemis Motamedi, Jing Huang   +3 more
doaj   +1 more source

rSHUD v2.0: advancing the Simulator for Hydrologic Unstructured Domains and unstructured hydrological modeling in the R environment [PDF]

Geoscientific Model Development
Hydrological modeling is a crucial component in hydrology research, particularly for projecting future scenarios. However, achieving reproducibility and automation in distributed hydrological modeling research for modeling, simulation, and analysis is ...
L. Shu, L. Shu, L. Shu, P. Ullrich, X. Meng, X. Meng, C. Duffy, H. Chen, H. Chen, H. Chen, Z. Li, Z. Li   +11 more
doaj   +1 more source

HESS Opinions: Reflecting and acting on the social aspects of modeling [PDF]

Hydrology and Earth System Sciences
Hydrological models are generally acknowledged as subjective and uncertain, yet they are often still perceived as neutral, meaning they are seen as not taking sides. This notion of neutrality has several, potentially harmful, consequences.
J. O. E. Remmers, R. ter Horst, E. Nabavi, U. Proske, A. J. Teuling, J. Vos, L. A. Melsen   +6 more
doaj   +1 more source

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

The Benefits of Continental-Scale High-Resolution Hydrological Modeling in the Detection of Extreme Hydrological Events in China

Remote Sensing, 2023
High-resolution hydrological modeling is crucial for detecting extreme hydrological events and understanding fundamental terrestrial processes. However, spatial resolutions in current hydrological modeling studies have been mostly constrained to ...
Bowen Zhu, Xianhong Xie, Yibing Wang, Xuehua Zhao   +3 more
doaj   +1 more source

On time-horizons based post-processing of flow forecasts

Frontiers in Water
Post-processing raw stream flow forecasts are generally understood as estimating the univariate predictive density of stage or discharge values at selected future time steps, which is conditional on a single or multiple streamflow forecasts and ...
Paolo Reggiani, Paolo Reggiani, Daniela Biondi, Daniela Biondi, Ezio Todini   +4 more
doaj   +1 more source

The role of land–atmosphere coupling in subseasonal surface air temperature prediction across the contiguous United States [PDF]

Hydrology and Earth System Sciences
Land–atmosphere (L–A) coupling can play a crucial role for subseasonal-to-seasonal (S2S) predictability and prediction. When coupling is strong, L–A processes and feedback are expected to enhance the system's memory, thereby increasing the predictability
Y. Lim, Y. Lim, A. M. Molod, R. D. Koster, J. A. Santanello   +4 more
doaj   +1 more source

Comparative analysis of the weather causes of two consecutive low-flow periods in the Yellow River Basin over the past hundred years

Shuili Shuiyun Gongcheng Xuebao
Under the background of global warming, the Yellow River Basin has experienced two consecutive low water periods over the past hundred years (1922–1932 and 1990–2002), which have seriously threatened the region’s water resources security.
JIN Lijun, MA Zhijin, YIN Shan, GAO Yajun, WANG Ting, ZHANG Ronggang   +5 more
doaj   +1 more source