• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Earth System Science Data Discussions >An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada
【24h】

An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada

机译：来自加拿大萨斯喀彻温省Brightwater Creek盆地Kenaston网络的11年（2007-2017）土壤湿度和降水数据集

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

摘要

Soil moisture and precipitation have been monitored in ahydrometeorological network situated within the Brightwater Creek basin, eastof Kenaston, Saskatchewan, Canada, since 2007. The majority of the prairielandscape is annually cropped with some sections in pasture. Thisagricultural region is ideal for remote-sensing validation and calibrationand, in conjunction with the flux tower situated within the network,hydrological model validation. Remote-sensing validation collaborations haveincluded the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) andNASA's Soil Moisture Active Passive (SMAP). The network was developed at twospatial scales, one high-resolution set of sites installed over a10km×10km region and a second installed over40km×40km. The sites are all similar in design with threeinstrument depths for soil moisture and temperature, as well as precipitationmeasurement. The 2007–2017 dataset published in this paper has gone througha quality control review process, which involved both automated and manualprocesses. The dataset is limited to the summer months (1?May–30?September)due to the uncertainties and complexities of measurement in frozen soils andthe freeze–thaw period each year. Data discussed in this publication areavailable at https://doi.org/10.20383/101.0116, and data beyond 2017 can be requestedfrom the corresponding author.
机译：自2007年以来，已经在位于加拿大萨斯喀彻温省Kenaston以东的Brightwater Creek盆地内的水文气象网络中对土壤水分和降水进行了监测。大部分草原景观每年都种植有部分牧场。这个农业地区是遥感验证和校准的理想选择，并且与位于网络中的流量塔，水文模型验证相结合。遥感验证合作包括欧洲航天局的土壤水分和海洋盐度（SMOS）和美国国家航空航天局的土壤水分主动被动（SMAP）。该网络是在两个空间规模上开发的，一组高分辨率站点安装在10km×10km的区域内，第二组站点安装在40km×40km的区域内。这些位置在设计上都相似，具有用于土壤湿度和温度以及降水测量的三个仪器深度。本文中发布的2007-2017年数据集已经过质量控制审核过程，涉及自动化和手动过程。由于在冻结土壤中测量的不确定性和复杂性以及每年的冻融期，该数据集仅限于夏季月份（1月至5月30日至9月）。该出版物中讨论的数据可从https://doi.org/10.20383/101.0116获得，可以向相应的作者索取2017年以后的数据。

著录项

相似文献

  • 外文文献
  • 中文文献
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