...
首页> 外文期刊>Remote Sensing >Assimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential
【24h】

Assimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential

机译:将GRACE陆地储水观测资料同化到用于评估区域洪水潜力的地表模型中

获取原文

摘要

We evaluate performance of the Catchment Land Surface Model (CLSM) under flood conditions after the assimilation of observations of the terrestrial water storage anomaly (TWSA) from NASA’s Gravity Recovery and Climate Experiment (GRACE). Assimilation offers three key benefits for the viability of GRACE observations to operational applications: (1) near-real time analysis; (2) a downscaling of GRACE’s coarse spatial resolution; and (3) state disaggregation of the vertically-integrated TWSA. We select the 2011 flood event in the Missouri river basin as a case study, and find that assimilation generally made the model wetter in the months preceding flood. We compare model outputs with observations from 14 USGS groundwater wells to assess improvements after assimilation. Finally, we examine disaggregated water storage information to improve the mechanistic understanding of event generation. Validation establishes that assimilation improved the model skill substantially, increasing regional groundwater anomaly correlation from 0.58 to 0.86. For the 2011 flood event in the Missouri river basin, results show that groundwater and snow water equivalent were contributors to pre-event flood potential, providing spatially-distributed early warning information.
机译:我们将NASA的重力恢复和气候实验(GRACE)对陆地蓄水异常(TWSA)的观测结果同化后,评估洪水条件下的集水地表模型(CLSM)的性能。同化为GRACE观测在业务应用中的可行性提供了三个主要好处:(1)近实时分析; (2)GRACE粗略的空间分辨率的缩减; (3)垂直整合的TWSA的状态分解。我们以密苏里州流域2011年的洪水事件为例进行研究,发现同化通常使模型在洪水前的几个月中变得湿润。我们将模型输出与14个USGS地下水井的观测值进行比较,以评估同化后的改善情况。最后,我们研究了分类的储水信息,以提高对事件生成的机械理解。验证表明,同化极大地提高了模型技巧,使区域地下水异常相关性从0.58增加到0.86。对于2011年密苏里河流域的洪水事件,结果表明,地下水和雪水当量是事件前洪灾潜力的成因,提供了空间分布的预警信息。

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