Meteorological, reference evapotranspiration and estimated transpiration data, July 2020-Dec 2021, Slate River Floodplain, Crested Butte, Colorado

This data package includes a time series of meteorological data (air temperature, relative humidity, barometric pressure, precipitation, wind speed, soil heat flux, incoming shortwave radiation, incoming longwave radiation, outgoing shortwave radiation and outgoing longwave radiation) from the Slate River floodplain outside Crested Butte, Colorado, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the work targeting the overarching research question for the SLAC SFA: How do ubiquitous subsurface interfaces mediate molecular-scale biogeochemical processes and groundwater quality in floodplains and watersheds? The package also includes reference evapotranspiration calculated via the Penman-Monteith equation and an estimate of willow (Salix spp.) evapotranspiration using the method of Irmak et al., J. Hydrology, 2013. Due to two malfunctioning sensors (incoming shortwave radiation from Oct 2020-May 2021 and incoming longwave radiation from May 2021-March 2022), observed net radiation and calculated evapotranspiration are only included from July-October 2020. However, users may be able to extend calculated evapotranspiration using estimates of these two parameters from other sources. Both sensors have been replaced and data beyond 2021 be uploaded to this repository when it is available. Within the data package, "FLMD.csv" describes file-level metadata and "dd.csv" defines column headers and universal terms across the dataset. The data package includes 3 "*data.csv" files, two for meteorological data for 2020 and 2021 and one for reference evapotranspiration and transpiration data from 2020 ("SLT_OBJ2_PenmanMonteith_2020_data.csv"). Each "*data.csv" file of meteorological data has a corresponding "*_InstallationMethods.csv" file that describes the location, sensor model, sensor serial number and other metadata corresponding to each measured parameter. We also include a Jupyter notebook ("PenmanMonteithET_Calculations.ipynb") that details the assumptions and equations used to calculate daily and hourly reference evapotranspiration and daily willow transpiration from raw meteorological data.

本数据包包含科罗拉多州克雷斯特德比特（Crested Butte）外斯莱特河漫滩的气象时间序列数据，涵盖气温、相对湿度、大气压力、降水量、风速、土壤热通量、入射短波辐射、入射长波辐射、出射短波辐射以及出射长波辐射。该区域是SLAC漫滩水文生物地球化学科学焦点区域（SLAC Floodplain Hydro-Biogeochemistry SFA）的重点野外试验站点。
本数据为响应SLAC SFA的核心研究问题而生成，该问题为：普遍存在的地下界面如何调节漫滩与流域内的分子尺度生物地球化学过程与地下水水质？
数据包还包含通过彭曼-蒙特斯方程（Penman-Monteith）计算得到的参考蒸散量，以及采用Irmak等人2013年发表于《水文学杂志》（J. Hydrology）的方法估算的柳属（Salix spp.）蒸散量。
由于两台传感器故障（2020年10月—2021年5月的入射短波辐射传感器，以及2021年5月—2022年3月的入射长波辐射传感器），仅2020年7月—10月的实测净辐射与计算得到的蒸散量被纳入数据包。不过用户可借助其他来源的这两项参数估算值，拓展计算得到的蒸散量数据集。目前两台故障传感器均已更换，2021年之后的可用数据将在就绪后上传至本存储库。
本数据包中，"FLMD.csv"用于描述文件级元数据，"dd.csv"定义了数据集的列标题与通用术语。数据包包含3个"*data.csv"格式文件：2个分别对应2020年与2021年的气象数据文件，以及1个包含2020年参考蒸散量与蒸腾数据的文件（"SLT_OBJ2_PenmanMonteith_2020_data.csv"）。每个气象数据"*data.csv"文件均配有对应的"*_InstallationMethods.csv"文件，用于说明各测量参数对应的传感器布设位置、传感器型号、序列号及其他元数据。此外，我们还提供了一份Jupyter笔记本（"PenmanMonteithET_Calculations.ipynb"），其中详细阐述了基于原始气象数据计算日尺度与小时尺度参考蒸散量、日尺度柳属植物蒸腾量所采用的假设条件与计算公式。