遇见数据集

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from CARAIB rice simulations

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Zenodo2020-07-29 更新2026-05-25 收录
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This data set contains output data from simulations with the model CARAIB for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

本数据集收录了农业模型互通与改进项目(Agricultural Model Intercomparison and Improvement Project, 简称AgMIP)全球网格化作物模型比对计划(Global Gridded Crop Model Intercomparison, 缩写GGCMI)第二阶段产出数据集的一部分,即基于CARAIB模型针对水稻开展的模拟实验所得数据。所包含的输出变量包括:作物产量、地上生物量、播种期、成熟期、潜在灌溉需水量、实际生长期蒸散量。本次模拟采用AgMERRA数据集(Ruane等,2015)开展为期31年的模拟实验,设置了4组大气CO₂体积混合比梯度(C=360、510、660、810 ppm)、7组温度均匀偏移量(T=-1、0、1、2、3、4、6 K)、8组水分调控梯度(W=-50、-30、-20、-10、0、10、20、30%,以及无限灌溉/常规灌溉场景)、3种氮肥投入水平(N=10、60、200 kgN/ha),并针对作物适应措施设置2种假设场景(A0=“无适应”,A1=“恢复原生长季”)。

提供机构:
Zenodo
创建时间:
2019-03-23
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