five

Peri Lake Experimental Catchment Data Set

收藏
Mendeley Data2024-03-27 更新2024-06-27 收录
下载链接:
https://zenodo.org/record/4445367
下载链接
链接失效反馈
官方服务:
资源简介:
This is the Peri Lake Experimental Catchment data set (PLEC) developed by the Hydrology Laboratory - LabHidro group at the Federal University of Santa Catarina, Florianópolis - Brazil. PLEC data set provides: (i) meteorological data for the Peri Lake catchment (solar radiation, relative humidity, air temperature, wind velocity and wind direction data); (ii) rainfall data (rain gauges located at the Peri Lake park headquarters (HQ) and Retiro meteorological station); (iii) experimental interception data (23 and 24 throughfall gauges and 18 and 20 stemflow gauges in the HQ and Retiro plots, respectively); (iv) overland flow data measured in Retiro headwater catchment (23 Overland Flow Detectors (OFD)); (v) streamflow and flow velocity data measured in 31 cross sections of the Peri Lake watershed; (vi) groundwater levels mesured in 10 wells installed close to the flow lines in Retiro headwater catchment; (vii) soil characteristics estimated in the Retiro headwater catchment (hydraulic conductivity and infiltration rate); (viii) geographic information system (GIS) data for the Peri lakecatchment (digital elevation model (DEM) of Peri Lake Watershed, delimitation of the Peri Lake watershed, delimitation of Peri Lake, stream network of Peri Lake Watershed, information of streamflow and flow velocity, land cover of Peri Lake Watershed, location of Water Level Gauge of Ribeirao Grande Watershed, delimitation of the Ribeirao Grande watershed, location of Interception gauge, delimitation of the Retiro Headwater, drainage network lines, intermittent flow lines, location of Hydraulic Conductivity test of soil, locations of the overland flow detectors, locations of the wells to monitor the groudwater level). More details on each data can be found in the readme.txt files available within each subdirectory of this data set. For more information on the available data and collaborations, please communicate with the lead author pedro.chaffe@ufsc.br (www.labhidro.ufsc.br).
创建时间:
2023-06-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作