Documenting Climate Models and Their Simulations

Author:

Guilyardi Eric1,Balaji V.2,Lawrence Bryan3,Callaghan Sarah4,Deluca Cecelia5,Denvil Sébastien6,Lautenschlager Michael7,Morgan Mark6,Murphy Sylvia5,Taylor Karl E.8

Affiliation:

1. NCAS, University of Reading, Reading, United Kingdom, and IPSL/LOCEAN, Paris, France

2. Princeton, New Jersey

3. NCAS, University of Reading, Reading, United Kingdom, and STFC, Didcot, United Kingdom

4. STFC/BADC, Didcot, United Kingdom

5. NOAA/ESRL/NESII, Boulder, Colorado

6. IPSL, Paris, France

7. DKRZ, Hamburg, Germany

8. PCMDI, Livermore, California

Abstract

The results of climate models are of increasing and widespread importance. No longer is climate model output of sole interest to climate scientists and researchers in the climate change impacts and adaptation fields. Now nonspecialists such as government officials, policy makers, and the general public all have an increasing need to access climate model output and understand its implications. For this host of users, accurate and complete metadata (i.e., information about how and why the data were produced) is required to document the climate modeling results. Here we describe a pilot community initiative to collect and make available documentation of climate models and their simulations. In an initial application, a metadata repository is being established to provide information of this kind for a major internationally coordinated modeling activity known as CMIP5 (Coupled Model Intercomparison Project, Phase 5). It is expected that for a wide range of stakeholders, this and similar community-managed metadata repositories will spur development of analysis tools that facilitate discovery and exploitation of Earth system simulations.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference13 articles.

1. A lesson in sharing;Carlson;Nature,2011

2. Performance metrics for climate models;Gleckler;J. Geophys. Res.,2008

3. The CMIP5 model and simulation documentation: A new standard for climate modelling metadata;Guilyardi;CLIVAR Exchanges,2011

4. The potential to narrow uncertainty in regional climate predictions;Hawkins;Bull. Amer. Meteor. Soc,2009

5. Data on demand;Kleiner;Nature Climate Change,2011

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3