This section covers basic concepts needed to understand remote sensing retrievals, algorithm development and computer modeling

  • Remote Sensing
  • Data Science and Cloud Computing
  • Algorithm Development
  • Modeling of the Earth System

This course covers basic concepts needed to understand remote sensing retrievals.  Though some retrievals are presented, the emphasis is on the underlying theory.  The goal is mastery in such topics as optical depth, Rayleigh scattering and brightness temperature, familiarity with other topics.


Students will understand the overview of Data Science, covering a broad selection of key challenges in and methodologies for working with big data. Topics to be covered include data collection, integration, management, modeling, and visualization. Student will get understanding of current status of NOAA and other agencies, their need of cloud computing related to weather and climate modelling. Student will learn basic understanding of data cleaning, identifying data trends, and data analysis. Students will be introduced to Amazon Web Services with sample examples of cloud computing.

This workshop series contains 3 learning modules and was designed to support your learning of beginner level concepts in UxS. As you know, as a NOAA-EPP/MSI CESSRST-II fellow and hopeful future NOAA workforce participant, you are required to demonstrate levels of competencies in a number of areas, including UxS subject matter in general and well as it relates to the NOAA Mission.  To help you prepare to demonstrate competency, the Center developed these modules in collaboration with subject matter experts (SMEs) from one of our CESSRST-II partner institutions and NOAA. All three modules are available for your review, followed by a brief assessment after each. The first two modules were delivered Professors Robert C. Roberts and Laura Alvarez, both Assistant Professors at the University of Texas at El Paso (UTEP). The third module was delivered by Jennifer Bowers, Uncrewed Data Services Product Lead at NOAA NESDIS National Centers for Environmental Information (NCEI). 

This workshop series contains 4 learning modules and was designed to support your learning of beginner level concepts in AI/ML. As you know, as a NOAA-EPP/MSI CESSRST-II fellow and hopeful future NOAA workforce participant, you are required to demonstrate levels of competencies in a number of areas, including AI/ML subject matter in general and well as it relates to the NOAA Mission. To help you prepare to demonstrate competency, the Center developed these modules in collaboration with subject matter experts (SMEs) from one of our CESSRST-II partner institutions and NOAA. All four modules are available for your review, followed by a brief assessment after each. The first three modules were delivered live on zoom on April 28, 2023 by either Professor Hernan Moreno, Assistant Professor in the Department of Earth, Environmental and Resource Sciences University of Texas at El Paso or Rob Redmon, NOAA Center for AI (NCAI) Lead. The fourth module is a pre-recorded session on responsible and ethical AI from an NCAI closing plenary.