Artificial intelligence for geoscience: Progress, challenges and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …
traditional physics-based models to modern data-driven approaches facilitated by significant …
River water quality shaped by land–river connectivity in a changing climate
River water quality is crucial to ecosystem health and water security, yet its deterioration
under climate change is often overlooked in climate risk assessments. Here we review how …
under climate change is often overlooked in climate risk assessments. Here we review how …
Temperature outweighs light and flow as the predominant driver of dissolved oxygen in US rivers
The concentration of dissolved oxygen (DO), an important measure of water quality and river
metabolism, varies tremendously in time and space. Riverine DO is commonly perceived as …
metabolism, varies tremendously in time and space. Riverine DO is commonly perceived as …
Global riverine land-to-ocean carbon export constrained by observations and multi-model assessment
Rivers are a key component of the global carbon cycle. They receive vast quantities of
terrestrial carbon, of which a large fraction is ultimately exported to the coastal ocean. Our …
terrestrial carbon, of which a large fraction is ultimately exported to the coastal ocean. Our …
Overlooked riverine contributions of dissolved neodymium and hafnium to the Amazon estuary and oceans
Abstract The Amazon River accounts for 20% of global freshwater runoff and supplies vital
trace metals to the Atlantic Ocean. Suspended particles within its plume are thought to …
trace metals to the Atlantic Ocean. Suspended particles within its plume are thought to …
[HTML][HTML] Hydrography90m: A new high-resolution global hydrographic dataset
The geographic distribution of streams and rivers drives a multitude of patterns and
processes in hydrology, geomorphology, geography, and ecology. Therefore, a …
processes in hydrology, geomorphology, geography, and ecology. Therefore, a …
Making China's water data accessible, usable and shareable
Water data are essential for monitoring, managing, modelling and projecting water
resources. Yet despite such data—including water quantity, quality, demand and ecology …
resources. Yet despite such data—including water quantity, quality, demand and ecology …
[HTML][HTML] Random forest-based modeling of stream nutrients at national level in a data-scarce region
Nutrient runoff from agricultural production is one of the main causes of water quality
deterioration in river systems and coastal waters. Water quality modeling can be used for …
deterioration in river systems and coastal waters. Water quality modeling can be used for …
[HTML][HTML] How does the choice of DEMs affect catchment hydrological modeling?
The digital elevation models (DEMs) are the primary and most important spatial inputs for a
wide range of hydrological applications. However, their availability from multiple sources …
wide range of hydrological applications. However, their availability from multiple sources …
Human and natural activities regulate organic matter transport in Chinese rivers
Rivers connect terrestrial and aquatic ecosystems and export approximately 55.47% of the
net terrestrial carbon fixation. However, due to unavailable high-frequency monitoring data …
net terrestrial carbon fixation. However, due to unavailable high-frequency monitoring data …