Irrigation quantification through backscatter data assimilation with a buddy check approach

This repository contains the input and output data used in the research article "Irrigation quantification through backscatter data assimilation with a buddy check approach" published in AGU Journal of Advances in Modeling Earth Systems (JAMES) with doi: 10.1029/2023MS003661. The modified NASA-LIS source code can be found under https://github.com/lbusschaert/LISF_buddy_check (branch: irrigation_DETECT). The input, setup, and ouput are provided for the German test site. The GERMANY directory contains: example_lis_config_files with configuration files to run LIS INPUT with all the necessary inputs to run LIS lis_input.NoahMP.Germany.nc, the input file with the parameters for the test site OUTPUT, with netcdf files containing the output of the SURFACEMODEL, the irrigation estimates and the innovations for different experiments. S1_synthetic containing the synthetic backscatter VV observations, produced with the OUTPUT of the nature run For questions or additional input/output files, please contact [e-mail].本仓库收录了发表于美国地球物理学会（AGU）《地球系统建模进展期刊》（*Journal of Advances in Modeling Earth Systems, JAMES*）、DOI为10.1029/2023MS003661的研究论文《基于协同检验（buddy check）方法的后向散射数据同化灌溉量化》中所使用的输入与输出数据。 修改后的美国国家航空航天局（NASA）陆地信息系统（LIS）源代码可在https://github.com/lbusschaert/LISF_buddy_check获取，对应分支为irrigation_DETECT。本仓库提供了德国试验站点的输入、配置与输出数据，GERMANY目录包含以下内容： - `example_lis_config_files`：用于运行LIS的配置文件； - `INPUT`：运行LIS所需的全部输入数据； - `lis_input.NoahMP.Germany.nc`：该试验站点的参数输入文件； - `OUTPUT`：存储不同试验下地表模型（SURFACEMODEL）输出、灌溉估算结果与新息的NetCDF文件； - `S1_synthetic`：包含合成后向散射VV极化观测数据的目录，该观测数据由自然模拟运行（nature run）的输出结果生成。 若有疑问或需要额外的输入/输出文件，请联系[e-mail]。