GHub : Building a glaciology gateway to unify a community
GHub : Building a glaciology gateway to unify a community
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GHub：建立一个冰川学门户来统一社区
DOI：
10.1002/cpe.6130
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Patra, Abani
中科院分区：
文献类型：
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作者：
Sperhac, Jeanette M.;Poinar, Kristin;Jones‐Ivey, Renette;Briner, Jason;Csatho, Beata;Nowicki, Sophie;Simon, Erika;Larour, Eric;Quinn, Justin;Patra, Abani
由于全球变暖，地球冰盖融化的速度有多快，也没有对海平面上升的影响达成共识。由于其对沿海人口和全球经济的潜在影响，海平面上升是一个严重的问题，使冰融化率成为一个重要的研究领域。冰盖科学社区由两个进行相关但不同类型研究的小组组成：数据社区和模型构建社区。数据界通过收集实地和卫星观测的数据来确定冰盖过去和目前的状况。建模社区预测冰盖下降的速度与计算模型验证对观测。虽然观测数据和模型相互依赖，但这两组数据并没有很好地结合在一起。如果我们要提高对冰盖损失率的理解，就必须更好地协调数据收集工作和建模工作。我们提出了一个新的科学网关，GHub，冰盖科学家的合作空间。这个可通过网络访问的网关将托管数据集和建模工作流程，并提供访问代码的权限，使冰盖科学界能够构建工具。使用GHub，我们将收集和集中现有的数据集，创建更完整地记录格陵兰岛和南极洲冰盖的数据产品。我们将建立模型验证和不确定性量化的工作流程，扩展现有的冰盖模型。最后，我们将托管现有的社区代码，使科学家能够利用它们构建新的工具。有了这个新的网络基础设施，冰盖科学家将获得综合工具来量化海平面上升的速度和程度，造福地球仪各地的人类社会。
There is no consensus on how quickly the earth's ice sheets are melting due to global warming, nor on the ramifications to sea level rise. Due to its potential effects on coastal populations and global economies, sea level rise is a grave concern, making ice melt rates an important area of study. The ice‐sheet science community consists of two groups that perform related but distinct kinds of research: a data community, and a model building community. The data community characterizes past and current states of the ice sheets by assembling data from field and satellite observations. The modeling community forecasts the rate of ice‐sheet decline with computational models validated against observations. Although observational data and models depend on one another, these two groups are not well integrated. Better coordination between data collection efforts and modeling efforts is imperative if we are to improve our understanding of ice sheet loss rates. We present a new science gateway,GHub, a collaboration space for ice sheet scientists. This web‐accessible gateway will host datasets and modeling workflows, and provide access to codes that enable tool building by the ice sheet science community. Using GHub, we will collect and centralize existing datasets, creating data products that more completely catalog the ice sheets of Greenland and Antarctica. We will build workflows for model validation and uncertainty quantification, extending existing ice sheet models. Finally, we will host existing community codes, enabling scientists to build new tools utilizing them. With this new cyberinfrastructure, ice sheet scientists will gain integrated tools to quantify the rate and extent of sea level rise, benefitting human societies around the globe.