Impacts of eCO2 vs. deforestation on Amazon climate modelled with the CPTEC-BAM

Post-processed data from the coupled land-atmosphere CPTEC-BAM model simulations used in the study by Sampaio et al. (2021 Biogeosciences; doi: 10.5194/bg-18-2511-2021) This dataset is organized into three data types as follows: monthly_mean: last 10 years of each simulation, month-by-month (120 data slices per model simulation per variable) annual_mean: long-term monthly mean for the last 10 years of each simulation (12 data slices per model simulation per variable) ensemble: average between the three runs (each with a different initial conditionl, see below) for the controls, deforestation and physiology simulations. Control and experimental runs were composed each of three model runs, each of them with different initial conditions derived from three different days of NCEP analysis (2003.Jan.01; 2007.Oct.10; 2017.Dec.17). [Except for the physiology scenario in which the simulations starting with the 2003.Jan.01 initial condition was not carried out] Data files labels are as follows: …controle: control run for the deforestation scenario. Deforestation: no. Vegetation: static. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 388. …controle2: control run for the physiolgy scenario. Deforestation: no. Vegetation: dynamic. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 388. …deforestation: experiment run for the deforestation scenario. Deforestation: yes (100%). Vegetation: static. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 388. …physiology: experiment run for the physiology scenario. Deforestation: no. Vegetation: dynamic. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 588. Spatial resolution: 192 longitude x 97 latitude x 18 vertical levels Files are in NetCDF format, with a header specifying the contained variables and units, reproduced in a separate README file for sake of convenience. This dataset and related publication are part of the AmazonFACE∫ME (AmazonFACE/ME) research project (https://labterra.cpa.unicamp.br/amazonface-me/).

Sampaio等人（2021年《生物地球科学》；doi: 10.5194/bg-18-2511-2021）研究中使用的陆气耦合CPTEC-BAM模型模拟的后处理数据。该数据集分为以下三类：monthly_mean：每个模拟的最后10年，逐月数据（每个模型模拟的每个变量对应120个数据切片）；annual_mean：每个模拟最后10年的长期月均值（每个模型模拟的每个变量对应12个数据切片）；ensemble：控制、森林砍伐和生理学模拟的三次运行（每次运行初始条件不同，详见下文）的平均值。控制和实验运行各包含三次模型运行，每次运行的初始条件均来自NCEP分析的三个不同日期（2003年1月1日；2007年10月10日；2017年12月17日）。[生理学情景除外，该情景未开展以2003年1月1日为初始条件的模拟]数据文件标签如下：…controle：森林砍伐情景的控制运行。森林砍伐：否。植被：静态。影响大气的CO₂浓度（大气辐射通量）：388。影响植物生理学的CO₂浓度：388。…controle2：生理学情景的控制运行。森林砍伐：否。植被：动态。影响大气的CO₂浓度（大气辐射通量）：388。影响植物生理学的CO₂浓度：388。…deforestation：森林砍伐情景的实验运行。森林砍伐：是（100%）。植被：静态。影响大气的CO₂浓度（大气辐射通量）：388。影响植物生理学的CO₂浓度：388。…physiology：生理学情景的实验运行。森林砍伐：否。植被：动态。影响大气的CO₂浓度（大气辐射通量）：388。影响植物生理学的CO₂浓度：588。空间分辨率：192经度×97纬度×18垂直层。文件采用NetCDF格式，其头部指定了包含的变量及单位，为方便起见，这些信息也复制在单独的README文件中。该数据集及相关出版物属于AmazonFACE∫ME（AmazonFACE/ME）研究项目（https://labterra.cpa.unicamp.br/amazonface-me/）的一部分。