Staff profiles
Tim HiltonCarbon Cycle Scientist
Biography
I seek to understand the terrestrial biological carbon cycle at urban to continental scales using a combination of atmospheric composition observations, ecosystem–atmosphere flux observations, atmospheric and ecosystem models, and data assimilation methods. Anthropogenic greenhouse gas emissions from fossil fuel combustion are a primary driver of global climate change. Because most of human daily life occurs at the urban spatial scale it is critical to understand how urban design relates to urban-scale fossil fuel emissions. This problem is difficult with current data and methods, and I am currently working to develop new trace gas data and modeling methods to address the problem. Broad research interests include modeling of geophysical phenomena and anthropogenic influences on geophysical systems.
Qualifications
- PhD, Meteorology
- MSc, Meteorology
- BSE, Computer Science
Areas of expertise
- Business Development: Algorithms
- Business Development: Climate Science
- Business Development: Data Science
- Business Development: Data fusion
- Business Development: Numerical Modelling
- Business Development: Sea-level Rise
- Business Development: Software Design
- Business Development: programming
- Information Technology: C programming
- Information Technology: C/C++ programming
- Information Technology: MatLab
- Information Technology: Programming
- Information Technology: Python
- Information Technology: R scripting
- Information Technology: Shell scripting
- Business Development: carbon cycle science
Major Publications
See all publications
- Mahuika-Auckland : a spatially and temporally resolved fossil fuel CO2 emissions data product for Auckland, New Zealand, Geoscience Data Journal 10(3): p. 347-367. DOI: 10.1002/gdj3.181. p. 347-367
- Photosynthesis in high definition, Nature Climate Change 8: p. 20-21. DOI: 10.1038/s41558-017-0040-6. p. 20-21
- Peak growing season gross uptake of carbon in North America is largest in the Midwest USA, Nature Climate Change 7: p. 450-454. DOI: 10.1038/nclimate3272. p. 450-454
- Improving North American terrestrial CO2 flux diagnosis using spatial structure in land surface model residuals, Biogeosciences 10(7): p. 4607-4625. DOI: 10.5194/bg-10-4607-2013. p. 4607-4625