SUPERSEDED - CARDAMOM driving data and C-cycle model outputs to accompany "Resolving scale-variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using Model-Data Fusion"
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https://datashare.ed.ac.uk/handle/10283/4491
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'## This item has been replaced by the one which can be found at https://datashare.ed.ac.uk/handle/10283/4849 - https://doi.org/10.7488/ds/3843 ##' This archive contains the driving data and selected model outputs to accompany the manuscript: "Resolving scale-variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using Model-Data Fusion", submitted to Biogeosciences Discussions. The archive contains two zip files containing: (i) the observations and driving data assimilated into CARDAMOM; and (ii) a selection of model output, including the carbon (C) stocks for each DALEC pool, and a compilation of key C fluxes. Data and model output are stored as netcdf files. The xarray package (https://docs.xarray.dev/en/stable/index.html) provides a convenient starting point for using netcdf files within python environments. More details are provided in the document "Milodowski_etal_dataset_description.pdf"
## 本数据集已由可在以下链接获取的版本替代:https://datashare.ed.ac.uk/handle/10283/4849 及 https://doi.org/10.7488/ds/3843 ## 本归档文件包含支撑已提交至《Biogeosciences Discussions》的论文《解析基于模型-数据融合(Model-Data Fusion)估算的碎片化混合利用景观碳动态的尺度方差(scale-variance)》的驱动数据与精选模型输出结果。归档内包含两个压缩包,分别为:(i) 已同化至CARDAMOM模型的观测数据与驱动数据;(ii) 精选模型输出结果,涵盖每个DALEC碳库的碳(C)储量,以及关键碳通量汇总数据。数据与模型输出均以netCDF(网络通用数据格式)存储。在Python环境中使用netCDF文件可借助xarray包(https://docs.xarray.dev/en/stable/index.html)获得便捷的入门途径。详细说明请参阅文档《Milodowski_etal_dataset_description.pdf》
提供机构:
Global Change Institute, School of GeoSciences, University of Edinburgh
创建时间:
2022-08-23



