Wet surface evaporation with FLUXNET data

FLUXNET data from 171 stations and software to process it for use in the complementary relationship of evaporation. This repo is intended to allow users to reproduce the analyses from manuscript under review in the journal HESS (Hydrology and Earth System Science). The software and the csv files for 171 stations are included. All data files were obtained from the fluxnet.org web site. Files are all csv. Fluxnet files contain the daily (filename contains "DD") and monthly (filename contains, "MM") average flux data. Sensible and latent heat fluxes are from eddy covariance measurements. The goal of the project is to gain insight into the meaning of the Priestley-Taylor wet-surface evaporation parameter alpha. Four hypotheses regarding how to estimate alpha are proposed in the manuscript. The manuscript (still under review) describing the study in detail is at https://egusphere.copernicus.org/preprints/2022/egusphere-2022-712/egusphere-2022-712.pdf Co-authors on the paper are R. Crago, J. Szilagyi and R. J. Qualls Software was written by R. Crago I will update the link if the paper gets accepted. Instructions: The Python code is in the 'Wet_surface_evap_public.ipynb' file. The other uploaded files contain data. The data should be placed in a suitable folder, and the code in the first few cells should be modified so that the code looks into the directory in which your data are stored. This runs well in Google's Colab environment. The data files and the ipynb file can be uploaded to your google drive. The ipynb file is already in the form of a Jupyter notebook, which is what Colab uses.本数据集包含源自171个站点的FLUXNET（FLUXNET）数据，以及用于处理该数据以开展蒸发互补关系研究的配套软件。 本代码仓库旨在支持用户复现投稿于《水文学与地球系统科学》（Hydrology and Earth System Science，简称HESS）期刊的待审稿件中的分析流程。 仓库中附带了该处理软件与171个站点对应的CSV文件，所有数据文件均取自fluxnet.org官方网站，所有文件格式均为CSV。 FLUXNET数据文件包含两类通量数据：日平均通量数据（文件名包含"DD"标识）与月平均通量数据（文件名包含"MM"标识），其中感热通量与潜热通量来自涡度协方差观测结果。 本项目的核心目标是深入解析普里斯特利-泰勒（Priestley-Taylor）湿面蒸发参数α的物理内涵，稿件中提出了4种用于估算该参数的假说。 该待审的详细研究稿件可通过以下链接获取：https://egusphere.copernicus.org/preprints/2022/egusphere-2022-712/egusphere-2022-712.pdf。本文的共同作者包括R. Crago、J. Szilagyi与R. J. Qualls，软件由R. Crago开发。若稿件最终被正式录用，我将更新相关链接。 使用说明：Python代码存储于`Wet_surface_evap_public.ipynb`文件中，其余上传文件均为数据集文件。请将数据文件放置于合适的文件夹中，并修改代码前若干单元格的路径配置，使代码可正确读取数据所在目录。本代码可在谷歌Colab环境中流畅运行，用户可将数据文件与Jupyter笔记本文件上传至谷歌云盘。该笔记本文件已适配为Colab支持的标准Jupyter Notebook格式。