A12. MOSART-lake-stratification
- Hongyi Li
- Holly Davis (Unlicensed)
- Renata McCoy
| Poster Title | MOSART-lake-stratification |
|---|---|
| First Author | Hongyi Li |
| Topic | land/energy model development |
| Affiliation | land/energy NGD |
| Link to document |
Title
A Multi‐layer Lake/Reservoir Thermal Stratification Module for Earth System Models
Authors
Hongyi Li; Wondmagegn, Yigzaw (U of Houston); Ruby Leung
Abstract
Thermal stratification in reservoirs is a critical process that regulates downstream riverine energy and biogeochemical cycling. Current stratification models either simplify vertical energy process, reservoir geometry or neglecting the effects of reservoir operation. Here we present a new multi‐layer reservoir stratification model that can be applied for reservoir and stream temperature simulation at regional or global scale. With a multi‐layer vertical discretization, we introduce a newly developed storage‐area‐depth dataset to improve parameterization of advection processes in and out of the reservoir. The new model better represents vertical temperature gradient and subsequently temperature of water released to downstream. The stratification model is applied to 1400 reservoirs over the contiguous US and validated against observed surface, profile, and outflow temperature data over 130 reservoirs subjected to various levels of regulation. The Nash‐Sutcliffe values are higher than 0.5 for about 77% of the validated reservoirs using surface temperature while the average values of root mean square error and bias are 3.6oC and ‐1.1oC, respectively. Using the new reservoir storage‐area‐depth dataset improves the simulation of surface temperature at over 69% of the validated reservoirs compared to using simplified reservoir geometry. The reservoir stratification model contributes to improving predictive understanding of anthropogenic impact on terrestrial hydrological, ecological and biogeochemical cycles.