...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Hydrology and Earth System Sciences >Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data
【24h】

Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data

机译：具有地面和遥感数据的分布式水文模型的不确定性降低和参数估计

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

During the last decade the opportunity and usefulness of using remote-sensing data in hydrology, hydrometeorology and geomorphology has become even more evident and clear. Satellite-based products often allow for the advantage of observing hydrologic variables in a distributed way, offering a different view with respect to traditional observations that can help with understanding and modeling the hydrological cycle. Moreover, remote-sensing data are fundamental in scarce data environments. The use of satellite-derived digital elevation models (DEMs), which are now globally available at 30 m resolution (e.g., from Shuttle Radar Topographic Mission, SRTM), have become standard practice in hydrologic model implementation, but other types of satellite-derived data are still underutilized. As a consequence there is the need for developing and testing techniques that allow the opportunities given by remote-sensing data to be exploited, parameterizing hydrological models and improving their calibration.
机译：在过去的十年中，在水文学，水文气象学和地貌学中使用遥感数据的机会和实用性变得更加明显和明确。基于卫星的产品通常具有以分布式方式观测水文变量的优势，相对于传统观测提供了不同的观点，可以帮助理解和模拟水文循环。此外，在稀疏数据环境中，遥感数据至关重要。卫星衍生的数字高程模型（DEM）的使用现已在全球以30 m的分辨率提供（例如，来自航天飞机雷达地形任务，SRTM），已成为水文模型实施的标准做法，但其他类型的卫星衍生的模型数据仍未得到充分利用。因此，需要开发和测试技术，以利用遥感数据提供的机会，对水文模型进行参数设置并改善其校准。

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