Our lab explores two main research areas: 1) the impacts of climate change on inland and coastal water quality and 2) understanding and quantifying the cycling and emissions of greenhouse gases at the Earth surface at urban to global scales. Our approach is highly data-driven, with a common methodological thread being the development and application of spatiotemporal statistical data fusion methods for optimizing the use of limited in situ and remote sensing environmental data.
Some of the current questions we are exploring:
Some of the current questions we are exploring:
- How much reduced sulfur is emitted from the Southern Ocean? Can we constrain it?
- Are the dominant drivers of CH4 and CO2 fluxes the same in places where fluxes are collocated?
- What climate-related risks arise from both prolonged and extreme fluctuations in the hydroclimate systems of mountainous regions? What mitigation strategies can be adopted to enhance climate resilience?
- Can we make it easy for researchers to use available atmospheric data to constrain estimates of GHG fluxes? Funding agencies spend hundreds of millions on collecting these data, but bottom-up models and inventories hardly use them as constraints. How can we fix this?