No abstract

HY-2A, as the first Chinese ocean dynamic environment satellite, provides an effective and efficient way of observing ocean properties. However, in the operational stage, some inconveniences of the existing ground application system have appeared. Based on the review of users' requirements for data services, the Customized Automatic Processing Framework (CAPF) for HY-2A advanced products is proposed and has been developed. As an extension of the existing ground application system, the framework provides interfaces for adding customized algorithms, designing on-demand processing workflows, and scheduling the processing procedures. With the customized processing templates, the framework allows users to easily process the products according to their own expectations, which facilitates the usage of HY-2A satellite advanced products.

Ka‐band (32 GHz) communications links utilized by the National Aeronautics and Space Administration (NASA) flight missions for science downlink are susceptible to degradation due to weather. In this study, a customized real‐time forecast system has been developed to predict zenith atmospheric noise temperature (Tatm) at the Deep Space Network (DSN) tracking sites using machine learning (ML). A random forest model is trained with the Global Forecast System (GFS) forecast and analysis datasets in addition to the Tatm measurements derived from on‐site advanced water vapor radiometers (AWVR). The real‐time forecast uncertainty is quantified for different error regimes using the Self‐Organizing Map method. The results show that the root mean square error (RMSE) of the 24‐hr Tatm prediction at Goldstone, CA increases with the increase of Tatm. At 90% of the time, the forecasts have RMSE (bias) of less than 3.50 K (0.16 K) for fair‐weather conditions with Tatm < 16 K. In comparison to the current approach in designing Ka‐band communications links, application of weather forecasts can increase data return to the downlink for 80% of the time. A downlink gain of up to 2.43 dB (75% more data) can be realized at 10° elevation angle when Tatm = 8.32 K.