In response to the COVID-19 pandemic, SSAI's GLOBE Observer Team brought NASA Earth science into the homes of families through a novel series of activity videos, a new web activity page, and a family science guide.

The SSAI-led FLUID team was recognized for contributing to the success of seven NASA field campaigns - by working long hours and weekends to efficiently accommodate real-time support, last minute requests, and complex custom services.

In response to the pandemic, SSAI coordinated with government civil servants to develop an automated solution called PASS - Project Access Selection System - to efficiently manage and monitor movements of personnel at NASA Langley Research Center.

Arctic clouds are a pivotal part of global climate; yet, due to a series of challenges associated with obtaining accurate Arctic cloud data, they are often poorly simulated in most global climate models. SSAI scientist Dr. Zhujun Li took a new approach to climate modeling by using a multi-scale modeling framework (MMF).

The SSAI web and mobile applications team successfully redesigned the City of Burbank, California’s website to meet the needs of the various city departments; improve the aesthetics, organization, and useability; and bring it in line with the latest website technology

Interference from clouds, aerosols, and strong water surface reflection known as sunglint are major obstacle for obtaining accurate satellite retrievals. Thus, the SSAI OMI team set out to develop new techniques to mitigate this challenge using machine learning.

SSAI computer scientist Maura Tokay set out to predict the crop yield for corn, wheat, and soybeans using meteorological data in conjunction with machine learning predictive models in order to determine the importance of each weather variable on crop yield outcome.