• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of the American Water Resources Association >SPATIOTEMPORAL EVALUATION OF SIMULATED EVAPOTRANSPIRATION AND STREAMFLOW OVER TEXAS USING THE WRF-HYDRO-RAPID MODELING FRAMEWORK
【24h】

SPATIOTEMPORAL EVALUATION OF SIMULATED EVAPOTRANSPIRATION AND STREAMFLOW OVER TEXAS USING THE WRF-HYDRO-RAPID MODELING FRAMEWORK

机译：WRF-Hydroro快速建模框架在德克萨斯州模拟蒸发蒸腾和径流的时空评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study assesses a large-scale hydrologic modeling framework (WRF-Hydro-RAPID) in terms of its high-resolution simulation of evapotranspiration (ET) and streamflow over Texas (drainage area: 464,135 km(2)). The reference observations used include eight-day ET data from MODIS and FLUXNET, and daily river discharge data from 271 U.S. Geological Survey gauges located across a climate gradient. A recursive digital filter is applied to decompose the river discharge into surface runoff and base flow for comparison with the model counterparts. While the routing component of the model is pre-calibrated, the land component is uncalibrated. Results show the model performance for ET and runoff is aridity-dependent. ET is better predicted in a wet year than in a dry year. Streamflow is better predicted in wet regions with the highest efficiency similar to 0.7. In comparison, streamflow is most poorly predicted in dry regions with a large positive bias. Modeled ET bias is more strongly correlated with the base flow bias than surface runoff bias. These results complement previous evaluations by incorporating more spatial details. They also help identify potential processes for future model improvements. Indeed, improving the dry region streamflow simulation would require synergistic enhancements of ET, soil moisture and groundwater parameterizations in the current model configuration. Our assessments are important preliminary steps towards accurate large-scale hydrologic forecasts.
机译：本研究通过对德克萨斯州的蒸散量（ET）和水流的高分辨率模拟（流域：464,135 km（2））评估了大型水文建模框架（WRF-Hydro-RAPID）。使用的参考观测数据包括来自MODIS和FLUXNET的八天ET数据，以及来自横跨气候梯度的271个美国地质调查局的每日河流流量数据。应用递归数字滤波器将河流流量分解为地表径流和基础流量，以便与模型对应项进行比较。在对模型的布线组件进行预校准的同时，未对焊盘组件进行校准。结果表明，ET和径流的模型性能取决于干旱。与干旱年份相比，在潮湿年份对ET的预测更好。在湿润地区更好地预测水流，其最高效率接近0.7。相比之下，最干燥的地区在具有较大正偏差的情况下最难以预测流量。与表面径流偏差相比，建模的ET偏差与基础流量偏差之间的相关性更强。这些结果通过合并更多的空间细节来补充以前的评估。它们还有助于确定潜在的流程，以用于将来的模型改进。实际上，改善干旱地区的水流模拟将需要在当前模型配置中协同增强ET，土壤水分和地下水参数化。我们的评估是迈向准确的大规模水文预报的重要的初步步骤。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号