Role of reservoir regulation and groundwater feedback in a simulated ground‐soil‐vegetation continuum: A long‐term regional scale analysis

Abstract

The regional terrestrial water cycle is strongly altered by human activities. Among them, reservoir regulation is a way to spatially and temporally allocate water resources in a basin for multi-purposes. However, it is still not sufficiently understood how reservoir regulation modifies the regional terrestrial-and subsequently, the atmospheric water cycle. To address this question, the representation of reservoir regulation into the terrestrial component of fully coupled regional Earth system models is required. In

Simulation of an Extreme Precipitation Event Using Ensemble-Based WRF Model in the Southeastern Coastal Region of China

“…The models' initial state never matches the real atmosphere. Initial condition errors grew with model integration time, most rapidly at smaller scales [17,18]. The model equations did not fully represent all of the processes in the atmosphere.…”

“…It is well-known that the occurrence and development of heavy rain is not only related to large-scale weather conditions and sufficient water vapor transport but also to nonuniform underlying surface processes [13,16]. The land surface scheme is a basic physical and chemical process in the atmospheric circulation system, which affects the atmospheric circulation and climate change modeling [15,17]. Over the past several decades, many studies have shown that land-surface processes play an important role in climate models, atmospheric circulation models, and mesoscale numerical prediction models [17].…”

“…The land surface scheme is a basic physical and chemical process in the atmospheric circulation system, which affects the atmospheric circulation and climate change modeling [15,17]. Over the past several decades, many studies have shown that land-surface processes play an important role in climate models, atmospheric circulation models, and mesoscale numerical prediction models [17]. Land surface schemes such as CLM4, Noah and Noah-MP in WRF could enhance the ability of precipitation prediction [17].…”

“…Over the past several decades, many studies have shown that land-surface processes play an important role in climate models, atmospheric circulation models, and mesoscale numerical prediction models [17]. Land surface schemes such as CLM4, Noah and Noah-MP in WRF could enhance the ability of precipitation prediction [17].…”

“…However, numerical prediction models such as WRF were not perfect because of the measurement errors, analysis errors and model bias. The atmospheric variables cannot be measured to an infinite degree of accuracy or precision [14,15,17]. The models' initial state never matches the real atmosphere.…”