Data for: Field scale quantification indicates potential for variability in return flows from flood irrigation in the high altitude western US

If data are used in publication, we request that you please cite: Gordon, B. L., Paige, G. B., Miller, S. N., Claes, N., & Parsekian, A. D. (2020). Field scale quantification indicates potential for variability in return flows from flood irrigation in the high altitude western US. Agricultural Water Management, 232, 106062 Readme: The included files are: Calculated Flow_NoLosses, Calculated_Losses, Calculated_Return_Flows, Crop_Growth_Cruve, ET_Not_Interpolated, Precipitation, Raw_Meteorological, and the readme. Included databases are: GIS information based on Trimble GPS, Raw Flow Data, including pressure transducer data and developed rating curves, Geophysical data, including Nuclear Magnetic Resonance, and Ground Penetrating Radar, and Scintillometry data, including raw downloads and footprint calculations. All the data (except GIS) are in tab delimited ASCII files. GIS data are in standard formats, most site specific information including soils, meadow delineation, instrumentation, etc. can be found in the site_information file. Flow data (Calculated_Flow, Calculated_Losses, Calculated_Return_Flows) were obtained using developed rating curves at each site, where each stilling well was instrumented with a pressure transducer (Level TROLL 500 Data Logger, In-Situ, USA) and manual flow measurements consisting of 25+ individual points for each measurement were made using an electromagnetic current meter (MF Pro, OTT Hydromet, USA). ET data include both measurements from a Large Aperture Scintillometer (LAS MKII, Kipp & Zonen, NLD) and from Penman-Monteith Calculations performed on raw meteorological data collected on site. For Penman-Monteith, we include both raw values and values modified using a crop coefficient from Pochop et al. (1992). Precipitation data were collected using a tipping bucket rain gauge (Rain Collector II, Davis Instruments, USA). All data (except the ET data for the scintillometer) are from May 2015 to October 2015; the ET data from the scintillometer are from June 2015 to October 2015. If you have any questions, please contact me via email at: [e-mail]若将本数据集用于学术发表，请引用如下文献：Gordon, B. L.、Paige, G. B.、Miller, S. N.、Claes, N. 与 Parsekian, A. D.（2020）。《美国西部高海拔地区漫灌回流变异性的区域尺度量化分析》，《农业水管理（Agricultural Water Management）》，第232卷，文章编号106062。数据集说明（Readme）：本数据集包含以下文件：Calculated_Flow_NoLosses、Calculated_Losses、Calculated_Return_Flows、Crop_Growth_Curve、ET_Not_Interpolated、Precipitation、Raw_Meteorological 以及本说明文件。附带的数据库包括：基于Trimble GPS的地理信息系统（GIS，Geographic Information System）数据、原始流量数据（含压力传感器数据与推导出的流量率定曲线数据）、地球物理数据（含核磁共振（Nuclear Magnetic Resonance）与探地雷达（Ground Penetrating Radar）数据）以及闪烁测量数据（含原始下载数据与足迹计算数据）。除地理信息系统数据外，所有数据均采用制表符分隔的ASCII（American Standard Code for Information Interchange）文件格式存储。地理信息系统数据采用标准格式存储，大部分场地专属信息（如土壤、草地区划、仪器布设等）均可在site_information文件中获取。流量数据（包括Calculated_Flow、Calculated_Losses与Calculated_Return_Flows）通过各场地推导出的流量率定曲线获取：每个静水井均布设了压力传感器（Level TROLL 500数据记录仪，In-Situ公司，美国），且每次流量测量均采用电磁流速仪（MF Pro，OTT Hydromet公司，美国）采集至少25个单点流量数据。蒸散发（Evapotranspiration，ET）数据包含两类：一类是来自大孔径闪烁仪（Large Aperture Scintillometer，LAS MKII，Kipp & Zonen公司，荷兰）的实测数据，另一类是基于场地采集的原始气象数据通过彭曼-蒙特斯（Penman-Monteith）模型计算得到的数据。针对彭曼-蒙特斯模型计算结果，本数据集同时提供原始计算值与采用Pochop等人（1992）提出的作物系数修正后的数值。降水数据通过翻斗式雨量计（Rain Collector II，Davis Instruments公司，美国）采集获取。除大孔径闪烁仪的蒸散发数据外，所有数据的采集时段均为2015年5月至2015年10月；大孔径闪烁仪的蒸散发数据采集时段为2015年6月至2015年10月。如有任何疑问，请通过电子邮件联系：[e-mail]