Bjorn Brooks joined NCICS as a Research Associate with expertise in environmental data analysis and scientific computing in the cloud. His work designs, develops, and tests research software applications to meet the specific objectives of science activities. Transitioning the outputs of scientific research into the cloud increases the exposure and impact of science through open APIs and links to other cloud-based systems. This line of work makes science more integrated into the modern world and more available for people who need it.
Dr. Brooks is an interdisciplinary scholar involved in projects dealing with agriculture and climate, geology and trace gases, remote sensing and artificial intelligence and science outreach. Dr. Brooks’ dedication to work with people seeking scientifically informed decision making and healthy, resilient, productive environs, has steered his research pursuits. Applying science-based insights and detailed data analyses have shaped his understanding of tradeoffs between management practices, landscape stability, and risk from climate change.
Dr. Brooks’ recent work has focused on monitoring landscape dynamic change (disturbance, recovery, stability) and the predictability of patterns of change. For example, ‘How much and which changes in a landscape can be attributed to wood-using mills, wildfire, or drought?’ The difficulty, but also intrigue, of this work lies in distinguishing ecological signals from anthropogenic drivers of change, such as human industry. In this vein of study, Brooks used his expertise to develop an operational mobile technology for oil & gas field research, capable of pinpointing industrial and formation gas signals and distinguishing them in real-time from other ecologically influenced air samples. He also brings years of experience in atmospheric CO2 analysis, tracer-transport modeling, and land-atmosphere CO2 exchange modeling.
Brooks’ research has been important for planners and landowners interested in quantifying the stability of their land and placing observed disturbance events in the context of the history of events on their land observed in the satellite record. His work seeks to reduce the guesswork in management decisions, particularly by presenting climate and environmental data that is most relevant. Human decisions are the biggest driver of change in many landscapes, and Dr. Brooks’s pursuit of positive change in the world includes using relevant information from cutting-edge science to enhance the capacity for decision-makers to reduce their environmental impact and increase their efficiency.
Brooks holds Ph.D. and B.S. degrees from Iowa State University in geology and biology, and an M.Sc. in palaeobiology from the University of Bristol, England.
Brooks, B.-G. J., D. C. Lee, L. Y. Pomara, and W. W. Hargrove, 2020: Monitoring Broadscale Vegetational Diversity and Change across North American Landscapes Using Land Surface Phenology. Forests, 11, 606. http://dx.doi.org/10.3390/f11060606
Brooks, B., Lee, D., 2019: Feasibility of Pattern Type Classification for Landscape Patterns Using the AG-curve. Landscape Ecology. DOI
Brooks, B., Lee, D., Pomara, L., Hargrove, W., Desai, A., 2017: Quantifying Seasonal Patterns in Disparate Environmental Variables Using the PolarMetrics R Package, IEEE. DOI
Hurry, J., Risk, D., Lavoie, M., Brooks, B., Phillips, C., Gӧckede, M., 2016: Atmospheric monitoring and detection of fugitive emissions for Enhanced Oil Recovery. International Journal of Greenhouse Gas Control. DOI
Brooks, B., Desai, A., Stephens, B., Bowling, D., Burns, S., Watt, A., Heck, S., Sweeney, C., 2012: Assessing filtering of mountaintop CO2 mole fractions for application to inverse models of biosphere-atmosphere carbon exchange. Atmospheric Chemistry and Physics.. DOI
Kumar, J., Brooks, B., Thornton, P., Dietze, M., 2012: Subdaily Statistical Downscaling of Meteorological Variables Using Neural Networks. Procedia Computer Science. URL
Desai, A., Moore, D., Ahue, W., Wilkes, P., de Wekker, S., Brooks, B., Campos, T., Stephens, B., Monson, R., Burns, S., Quaife, T., Aulenbach, S., Schimel, D., 2011: Seasonal pattern of regional carbon balance in the central Rocky Mountains from surface and airborne measurements. Journal of Geophysical Research. DOI
Hoffman, F., Larson, J., Mills, R., Brooks, B., Ganguly, A., Hargrove, W., Huang, J., Kumar, J., Vatsava, R., 2011: Data Mining in Earth System Science. Procedia Computer Science. URL
Brooks, B., 2011: Earth Scientist's Guide to Discrete-Time Power Spectrum Analysis. Chapter in: Goran Nikolic (Ed.) Fourier Transforms-New Analytical Approaches and FTIR Strategies, ISBN 978-953-307-232-6. DOI
Brooks, B., Cervato, C., 2010: A Habitat-based Perspective of Marine Biogeography in Passive and Convergent Tectonic Settings. Palaeontologia Electronica. URL
Brooks, B., 2009: Applying Wavelet and Fourier Transform Analysis to Large Geophysical Datasets. Lecture Notes in Computer Science. DOI
Brooks, B., 2020: Transitioning local to cloud-native data processing, lessons from an environmental dataset. 2020 NOAA Environmental Data Management Workshop, Virtual, August 19, 2020.
Brooks, B., 2020: A joint private-public citizen science collaboration to ‘Fight Forest Fragmentation’. 2020 NOAA Environmental Data Management Workshop, Virtual, August 18, 2020.