Moritz Feigl,Stephan Thober,Robert Schweppe et al.
Moritz Feigl et al.
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...
Wildfire Induces Changes in Receiving Waters: A Review With Considerations for Water Quality Management [0.03%]
野火对受纳水体的影响：综述及水质管理考虑因素
M J Paul,S D LeDuc,M G Lassiter et al.
M J Paul et al.
Wildfires have increased in frequency in many ecosystems, with implications for human health and the environment, including water quality. Increased fire frequency and urbanization also raise the prospect of fires burning into urban areas, ...
Long-Term Mississippi River Trends Expose Shifts in the River Load Response to Watershed Nutrient Balances Between 1975 and 2017 [0.03%]
基于1975年至2017年的长期趋势分析密西西比河水动力学对流域营养物平衡变化的响应机制
Sarah Stackpoole,Robert Sabo,James Falcone et al.
Sarah Stackpoole et al.
Excess nutrients transported by the Mississippi River (MR) contribute to hypoxia in the Gulf of Mexico. Nutrient balances are key drivers to river nutrient loads and represent inputs (fertilizer, manure, deposition, wastewater, N-fixation, ...
S A Te Wierik,J Keune,D G Miralles et al.
S A Te Wierik et al.
The redistribution of biological (transpiration) and non-biological (interception loss, soil evaporation) fluxes of terrestrial evaporation via atmospheric circulation and precipitation is an important Earth system process. In vegetated eco...
Dongmei Feng,Colin J Gleason,Xiao Yang et al.
Dongmei Feng et al.
Changes in a river's width reflect natural and anthropogenic impacts on local and upstream/downstream hydraulic and hydrologic processes. Temporal variation of river width also impacts biogeochemical exchange and reflects geomorphologic evo...
A Tempered Particle Filter to Enhance the Assimilation of SAR-Derived Flood Extent Maps Into Flood Forecasting Models [0.03%]
一种改进SAR水体产品同化到洪水预报模型中的 tempered粒子滤波器方法
Concetta Di Mauro,Renaud Hostache,Patrick Matgen et al.
Concetta Di Mauro et al.
Data assimilation (DA) is a powerful tool to optimally combine uncertain model simulations and observations. Among DA techniques, the particle filter (PF) has gained attention for its capacity to deal with nonlinear systems and for its rela...
Fewer Basins Will Follow Their Budyko Curves Under Global Warming and Fossil-Fueled Development [0.03%]
全球变暖和化石燃料开发下盆地将较少遵循布迪克奥曲线
Fernando Jaramillo,Luigi Piemontese,Wouter R Berghuijs et al.
Fernando Jaramillo et al.
The Budyko framework consists of a curvilinear relationship between the evaporative ratio (i.e., actual evaporation over precipitation) and the aridity index (i.e., potential evaporation over precipitation) and defines evaporation's water a...
A Review of GNSS/GPS in Hydrogeodesy: Hydrologic Loading Applications and Their Implications for Water Resource Research [0.03%]
全球导航卫星系统在水文大地测量中的应用及对水资源研究的影响综述
Alissa M White,W Payton Gardner,Adrian A Borsa et al.
Alissa M White et al.
Hydrogeodesy, a relatively new field within the earth sciences, is the analysis of the distribution and movement of terrestrial water at Earth's surface using measurements of Earth's shape, orientation, and gravitational field. In this pape...
Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi-Basin Modeling and Remote Sensing Imagery [0.03%]
基于多流域模型和遥感数据的高山地区河流径流预测研究——以中亚锡尔河与纳伦河流域为例
Tien L T Du,Hyongki Lee,Duong D Bui et al.
Tien L T Du et al.
Despite the potential of remote sensing for monitoring reservoir operation, few studies have investigated the extent to which reservoir releases can be inferred across different spatial and temporal scales. Through evaluating 21 reservoirs ...
Nicola Durighetto,Veronica Mariotto,Francesca Zanetti et al.
Nicola Durighetto et al.
In spite of the prevalence of temporary rivers over a wide range of climatic conditions, they represent a relatively understudied fraction of the global river network. Here, we exploit a well-established hydrological model and a derived dis...