Comparison of the SAC-SMA and API-CONT hydrologic models at several Susquehanna River headwater basins Comparison of the Sacramento-Soil Moisture Accounting and Continuous Antecedent Precipitation Index hydrologic models at several Susquehanna River headwater basins
收藏NOAA Institutional Repository2021-10-05 更新2026-04-25 收录
下载链接:
https://repository.library.noaa.gov/
下载链接
链接失效反馈官方服务:
资源简介:
"Hydrologic simulation comparisons were made between the Sacramento Soil Moisture Accounting (SAC - SMA) model and the Continuous Antecedent Precipitation Index (API - CONT) model for six Susquehanna River Basin (SRB) headwater basins. Using a 6 - hour time step, the difference in cumulative simulation error (stage) between observations and model simulations was calculated over a 19-month period (August 2010 - February 2012) to visualize event, monthly, and seasonal model trends. Next, simulated crests (stage) were compared to observed crests for five rain-driven events. Finally, Ensemble Streamflow Prediction (ESP) was used on a daily time scale to provide a long-term (1950-1998) perspective of model performance compared to historical high flow events. Results show that the SAC-SMA model consistently produced more accurate streamflow simulations in terms of the cumulative error in stage over time. However, we could not establish a distinct seasonality (i.e. wet or dry periods, snowmelt) pattern in which one model was consistently more accurate across all basins. The API-CONT model more accurately predicted large event (flood) crests based on the Probability of Detection (POD), False Alarm Rate (FAR), Critical Success Index (CSI), and bias verification statistics. Results suggest that use of the lumped SAC-SMA could improve upon the lumped API-CONT for low and medium flow forecasts, which may be particularly useful for longer lead time applications such as water supply management. However, no improvements would be expected for flood forecasts"--Abstract. Cody L. Moser, Scott Kroczynski, and Kevin Hlywiak. "June 2013." System requirements: Adobe Acrobat Reader. Includes bibliographical references (pages 21-22). 2013 NWS (National Weather Service) ER (Eastern Region) Library Public Domain 1931
提供机构:
NOAA
创建时间:
2021-10-05



