Building trust in climate science: data products for the 21st century

Building trust in climate science: data products for the 21st century
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DOI:
10.1002/env.2141
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发表时间:
2012-08-01
期刊:
影响因子:
1.7
通讯作者:
Willett, Kate
Willett, Kate
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Chandler, Richard E.;Thorne, Peter;Willett, Kate

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气候科学在制定适应和减轻气候变化影响的战略方面可以发挥关键作用。然而,考虑到所涉问题的严重性及其影响,当务之急是科学进程必须保持公正性和公正性,并使其看起来是可疑的、可辩护的和透明的,以确保对结果的信任。建立这种信任的一个关键因素是提供对基础数据的访问,以便感兴趣的各方可以检查公布的结果,并与自己的分析进行比较。另一个优先事项是提供与用户需求相关的精细空间和时间尺度的数据。直到最近,满足这些要求的能力一直受到数据共享协议和数字存储和处理方面的限制。然而,这种情况现在正在改变,这要归功于全球合作、通信和计算能力的提高。本文介绍了目前通过国际地表温度倡议利用这些机会所作的努力,这是一项多学科的国际努力,其目的是:第一,建立一个单一的、综合的全球月度、每日和亚日分辨率地面气象观测数据库;第二,鼓励在遵守共同业绩评估和基准标准的情况下,编制多种独立的数据产品,从而为详细评估不确定性提供机会。讨论了该倡议的理由,以及后勤和技术挑战,以及统计界和更广泛的科学界和用户界参与的机会。版权所有(C)2012 John Wiley&Sons,Ltd.
Climate science has a key role to play in informing strategies for adapting to and mitigating the effects of climate change. However, given the magnitude of the issues involved and their implications, it is imperative that the scientific process isand is seen to berigorous, defensible, and transparent so as to ensure trust in the results. A key element in building such trust is to provide access to underlying data, so that interested parties can check published results and compare with their own analyses. A further priority is to provide data at the fine space and time scales that are relevant for user needs. Until recently, the ability to meet these requirements has been constrained by data-sharing agreements and limitations on digital storage and processing. This is now changing however, thanks to improved global collaboration, communication and computing capability. This article describes current efforts to exploit these opportunities via the International Surface Temperature Initiative, an international and multidisciplinary effort that aims: firstly, to create a single comprehensive global databank of surface meteorological observations at monthly, daily, and sub-daily resolutions; and secondly, to encourage the contribution of multiple independent data products, subject to common performance assessment and benchmarking criteria, thus providing the opportunity for a detailed assessment of uncertainties. The rationale for the initiative is discussed, along with logistical and technical challenges, as well as opportunities for involvement from the statistical and wider scientific and user communities. Copyright (C) 2012 John Wiley & Sons, Ltd.