A global dataset on subgrid land surface climate (2015-2100) from the Community Earth System Model

被引:6
|
作者
Zhang, Keer [1 ]
Lee, Xuhui [1 ]
Schultz, Natalie M. [1 ]
Zhao, Lei [2 ]
He, Chunyang [3 ,4 ]
Huang, Qingxu [3 ,4 ]
Liu, Zhifeng [3 ,4 ]
Chu, Haoran [5 ,6 ,7 ]
Zhao, Jiayu [5 ,6 ,7 ]
机构
[1] Yale Univ, Sch Environm, New Haven, CT 06520 USA
[2] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL USA
[3] Beijing Normal Univ, Ctr Human Environm Syst Sustainabil CI1ESS, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
[4] Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing, Peoples R China
[5] Nanjing Univ Informat Sci & Technol, Yale NUIST Ctr Atmospher Environm, Int Joint Lab Climate & Environm Change ILCEC, Nanjing, Peoples R China
[6] Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Peoples R China
[7] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Peoples R China
来源
GEOSCIENCE DATA JOURNAL | 2023年 / 10卷 / 02期
基金
国家重点研发计划; 美国国家科学基金会;
关键词
biophysical impacts; climate model; individual soil column; land use and land cover change; subgrid data; COVER CHANGE; BIOGEOPHYSICAL IMPACTS; DEFORESTATION; SATELLITE;
D O I
10.1002/gdj3.153
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Subgrid data from earth system models are a powerful, yet underutilized, data resource for investigating the climatic impacts of land use and land cover change (LULCC). In this paper, we describe a global dataset on subgrid land surface climate variables produced by the Community Earth System Model in a fully coupled mode. The simulation was conducted at a 0.9 degrees x 1.25 degrees resolution under the Representative Concentration Pathway (RCP) 8.5 scenario from 2015 to 2100. Data are archived for eight subgrid tiles (urban, rural, tree, grass, shrub, bare soil, crop and lake) and include variables on the physical state, surface energy fluxes, runoff and atmospheric forcing conditions. Archival intervals are monthly, daily and hourly. Meta data on land surface parameters are also available. The data files are stored in NetCDF-4 (Network Common Data Form, version 4) format and the meta data follow the latest Coupled Model Intercomparison Project phase 6 standards. We anticipate that this dataset will become a useful resource for characterizing local climate changes due to LULCC. This dataset can be downloaded from the Harvard Dataverse ().
引用
收藏
页码:208 / 219
页数:12
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