4.6 Article

Assessing observation network design predictions for monitoring Antarctic surface temperature

期刊

出版社

WILEY
DOI: 10.1002/qj.4226

关键词

Antarctica; data assimilation; network design; optimization; surface observations; validation

资金

  1. National Science Foundation, Office of Polar Programs [1542766, 1542789, 1543305, 1924730]
  2. Directorate For Geosciences
  3. Office of Polar Programs (OPP) [1542766, 1543305, 1924730] Funding Source: National Science Foundation
  4. Directorate For Geosciences
  5. Office of Polar Programs (OPP) [1542789] Funding Source: National Science Foundation

向作者/读者索取更多资源

This study evaluates a network design method that uses ensemble sensitivity to predict optimal sampling locations for surface air temperature in Antarctica. The results show the importance of stations on the East Antarctic Plateau, followed by stations in West Antarctica and the Ross Ice Shelf region. Coastal and Peninsula stations provide the least information content.
Networks of observations ideally provide adequate sampling of parameters to be monitored for climate and weather forecasting applications. This is a challenge for any network, but is particularly difficult in the harsh environment of the Antarctic continent. We evaluate a network design method providing objective information on station siting for optimal sampling of a variable, here taken to be surface air temperature. The method uses the concept of ensemble sensitivity to predict locations reducing the most total ensemble variance, that is, uncertainty, across the continent. The method is applied to a network of frequently-reporting stations, and validation is performed using results from assimilating station observations. A cost-efficient offline data assimilation framework is used to allow testing over a large sample of experiments, including a large number of randomly chosen networks that serve as a null hypothesis. Network design predictions agree well with observed error reductions from assimilation. The important role of stations on the East Antarctic Plateau in monitoring surface air temperature is evident in network design and data assimilation results, followed by stations in West Antarctica and the Ross Ice Shelf region. Antarctic coastal and Peninsula stations are found to provide the smallest information content integrated over the continent. Validation results are also robust to covariance localization, an essential factor for ensemble methods. Optimal networks outperform randomly chosen-networks in all cases, by up to nearly 50%, depending on the size of the network and the covariance localization distance.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据