Arctic Ocean Adjoint sensitivity web-server

Currently, most of the current state-of-the-art scientific software packages expect a potential user to read through documentation that explains how to install, specify input data, and execute a numerical model. In most cases, the steep learning curve, which is required to install/configure the model, is deterrent to future utilization of the model. We have developed interactive web server that gives the potential user an opportunity to run pre-configured Data Assimilation algorithms on a remote computer and to obtain results within a reasonable time-frame via the internet. This approach allows the user to avoid the installation/configuration of the DA software and to proceed directly to specifying the input data. Moreover, the web-based approach provide interactive access to the most updated model version, if any future modifications become available. Our web-server allows users to estimate a potential "usefulness" of the velocity observation in the Arctic Ocean and derive adjoint sensitivity map. Analysis of the adjoint sensitivity map allows to define the region of influence of the velocity observations and thus help to optimize the mooring observations in the Arctic Ocean.当前，绝大多数顶尖的科学软件包均要求潜在用户通读相关文档，以掌握安装、配置输入数据并运行数值模型的方法。多数情况下，安装/配置模型所需的较高学习门槛，会阻碍用户后续使用该模型。我们开发了一款交互式Web服务器，可让潜在用户通过互联网在远程计算机上运行预配置的数据同化（Data Assimilation）算法，并在合理时限内获取计算结果。该方案可使用户无需安装、配置数据同化软件，直接着手配置输入数据。此外，若未来对模型进行了更新迭代，基于Web的部署方式还可让用户交互获取最新版本的模型。 本Web服务器可支持用户评估北冰洋速度观测的潜在“应用价值”，并生成伴随敏度图。通过对伴随敏度图进行分析，可明确速度观测的影响区域，进而助力优化北冰洋的锚系观测方案。