Unpublished CMIP7.LMIP.CAS.CAS-ESM2-1-ESM.land-hist (v1)
General Information
| Name | CMIP7.LMIP.CAS.CAS-ESM2-1-ESM.land-hist |
|---|---|
| Abstract | Project: CMIP7 Land (offline) Model Intercomparison Project: advancing understanding of the impacts of land-use and land-cover change (LULCC) on climate Produced by: Chinese Academy of Sciences (Using Model/Source: CAS-ESM2-1-ESM with Experiment land-hist) The Chinese Academy of Sciences Earth System Model version 2.1 Earth System Model configuration (CAS-ESM2-1-ESM) is a fully coupled Earth system model within the CAS-ESM family. It was developed collaboratively by the Institute of Atmospheric Physics, Chinese Academy of Sciences; Sun Yat-sen University; Beijing Normal University; the Computer Network Information Center, Chinese Academy of Sciences; and the Institute of Computing Technology, Chinese Academy of Sciences. CAS-ESM2-1-ESM dynamically simulates the coupled physical climate system and associated biogeochemical processes. Its physical climate components represent interactions among the atmosphere, land surface, ocean, and sea ice, while atmospheric chemistry and aerosols are interactively represented within the atmospheric system. In addition, the ocean biogeochemistry component IAP-OBGCM is included to represent marine carbon-cycle and ecosystem processes, allowing the model to simulate interactions between ocean circulation, marine ecosystems, carbon chemistry, and air-sea carbon exchange. This configuration is designed for Earth system simulations that require both physical climate feedbacks and interactive biogeochemical feedbacks. It supports studies of climate mean state and variability, historical and future climate change, climate sensitivity, atmospheric composition, aerosol-climate interactions, marine biogeochemical cycling, carbon-climate feedbacks, and ocean carbon uptake across a wide range of temporal and spatial scales. Experiment: Land-only version of `historical` with prescribed climate and weather inputs required to drive land models. CMIP7 is a project of the World Climate Research Programme (WCRP), providing climate projections to understand past, present, and future climate changes. It is part of the WCRP Earth System Modelling and Observations (ESMO) Core Project, which was formed to coordinate all modelling, data, and observation activities across WCRP and its key partners. Further details can be found here and in the CMIP7 Guidance pages. Parties using CMIP data should ensure they have read the WCRP CMIP (2026) CMIP Data Disclaimer. This record was created via the Citation Service, maintained and hosted on the CEDA JASMIN Infrastructure. |
| Rights | Creative Commons Attribution 4.0 International License (CC-BY-4.0) |
| License | CC-BY-4.0; CMIP7 data produced by CAS is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law. |
Note: This citation is currently unpublished. DOI and referencing information will appear here once the citation is published.
CMIP7 Facets
| Activity | LMIP |
|---|---|
| Experiment | land-hist |
| Institution | CAS |
| Project | CMIP7 |
| Source | CAS-ESM2-1-ESM |
Data Access
This citation record represents all ESGF-NG data corresponding to the search facets above. See the abstract for details on any limitations of coverage. The data can be discovered using either the ESGF STAC API directly or by viewing the Metagrid Search interface to ESGF-NG.
Python Client
Interfacing with the STAC API can be done programatically in python using the pystac client or similar. Below is an example code snippet to fetch items to which this Citation record applies.
from pystac.client import Client
cli = Client.open("https://search.east.esgf.io")
cli.search(
collections=["CMIP7"],
query=[
"cmip7:experiment_id=land-hist",
"cmip7:activity_id=LMIP",
"cmip7:source_id=CAS-ESM2-1-ESM",
"cmip7:institution_id=CAS",
])
Funding Streams
| Stream Name | Affiliation |
|---|
Cites
van den Hurk, B., Kim, H., Krinner, G., Seneviratne, S. I., Derksen, C., Oki, T., Douville, H., Colin, J., Ducharne, A., Cheruy, F., Viovy, N., Puma, M. J., Wada, Y., Li, W., Jia, B., Alessandri, A., Lawrence, D. M., Weedon, G. P., Ellis, R., et al. (2016) . LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil
moisture Model Intercomparison Project - aims, setup and expected outcome. Geoscientific Model Development, 9(8), 2809-2832. https://doi.org/10.5194/gmd-9-2809-2016.
Cites
Zhang, H., Zhang, M., Jin, J., Fei, K., Ji, D., Wu, C., Zhu, J., He, J., Chai, Z., Xie, J., Dong, X., Zhang, D., Bi, X., Cao, H., Chen, H., Chen, K., Chen, X., Gao, X., Hao, H., et al. (2020) . Description and Climate Simulation Performance of CAS-ESM Version 2. Journal of Advances in Modeling Earth Systems, 12(12). Portico. https://doi.org/10.1029/2020ms002210 https://doi.org/10.1029/2020MS002210.