gee-hydro/PML.R

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Penman-Monteith-Leuning Evapotranspiration (ET) Version2 in R Dongdong Kong, CUG TODO 以NorthChina为输入，测试PMLV2的核心代码； 植被驱动数据，等待GEE跑完Albedo，然后进行线性插值、历史平均插值处理； 气象驱动数据，从GEE截取，tiff转nc； 模型参数率定，截取通量站驱动数据，重新率定模型参数（ERA5L, GLDASv2.1, GLDASv2.2, CFSV2, MERRA2）； Installation You can install the development version of PMLV2 like so: remotes::install_github("gee-hydro/PMLV2") pak::pkg_install(c("phenofit")) pak::pkg_install(c("rpkgs/rfluxnet", "rpkgs/nctools")) Example See the following instruction: https://gee-hydro.github.io/PML.R/articles/model_forcing.html https://gee-hydro.github.io/PML.R/articles/run_model.html Validation ET Eddy covariance flux https://fluxnet.org/data/fluxnet2015-dataset/fullset-data-product Basin-scale water balance $$E_{wb} = P - R - \Delta S + RES_s$$ $$E_{wb} ≈ P - R - \Delta S$$ GRDC streamflow, https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/Stations USGS streamflow, https://github.com/DOI-USGS/dataRetrieval/ Atmosphere moisture balance $$E_{atm} = P + Div + \Delta W - RES_w$$ $$E_{atm} ≈ P + Div$$ ERA5 monthly, https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=form References Zhang, Y., Kong, D., Gan, R., Chiew, F. H. S., McVicar, T. R., Zhang, Q., & Yang, Y. (2019). Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002–2017. Remote Sensing of Environment, 222, 165–182. https://doi.org/10.1016/j.rse.2018.12.031 Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 155, 13–24. https://doi.org/10.1016/j.isprsjprs.2019.06.014