Heather currently serves as the Ground System and Mission Operations Manager for NASA’s GeoCarb satellite mission. In this role, she supports and oversees the pre-launch development and the post-launch operations of all the elements of the ground data system, including the Science Operations Center (University of Oklahoma, Norman, OK), Instrument Operations Center (Lockheed Martin Advanced Technology Center, Palo Alto, CA), Data Operations Center (CIRA, Fort Collins, Colorado), and the Mission Operations Center (Location TBD).
Heather received her BA in math and physics from Austin College in 2007 and went on to earn her MS in atmospheric science from Colorado State University in 2009, where she focused on analysis of cloud and radiation measurements from the Cloud Profiling Radar onboard the CloudSat satellite platform. She then taught high school math for one year before joining the Suomi-NPP VIIRS Aerosol Calibration and Validation Team at NOAA’s Center for Satellite Applications and Research. There, she played a key role in pre-launch systems readiness as well as VIIRS aerosol algorithm testing and maintenance both pre- and post-launch. Subsequently, Heather began supporting the JPSS-1 and JPSS-2 Flight Project at NASA’s Goddard Space Flight Center where she helped develop the science validation test plan for JPSS-1 and updated documentation and contract requirements for JPSS-2. Heather returned to CIRA in 2013 as a member of the Data Processing center, responsible for a number of different tasks including development and maintenance of algorithms, analysis tools, data products, and documentation in support of the CloudSat and OCO-2/3 satellite missions; early development of the GeoCarb Data Operations Center as the Co-Lead and Algorithm Integration Specialist; management of a NOAA-NESDIS Technology Maturation Project to streamline the process of assimilating small satellite and cube satellite data into NOAA operational forecasting models; and evaluation of the NASA MEaSUREs Water Vapor Project (NVAP-M) blended observational water vapor dataset.