I'm an atmospheric and climate scientist interested in climate variability and change, atmospheric dynamics, terrestrial carbon cycle dynamics, and applying data assimilation and machine learning techniques for geophysical problems. My current research focuses on developing data assimilation and inverse techniques to estimate regional-scale sources and sinks of CO2 using primarily satellite observations. Such methods are useful both to study the natural carbon cycle and to provide independent estimates of human fossil fuel emissions.
I'm working as a postdoc in the Department of Physical Geography and Ecosystem Science at Lund University in Sweden.
|2013–2018||Ph.D. in Meteorology and Atmospheric Science, Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, United States.|
|2010–2012||M.S. in Atmospheric Sciences, Oceanography and Climate, Department of Meteorology, Stockholm University, Stockholm, Sweden.|
|2007–2010||B.S. in Meteorology, Department of Meteorology, Stockholm University, Stockholm, Sweden.|
More information can be found in my CV (PDF).
My research aims to improve our understanding of the climate system by combining information from observations and numerical models using innovative methods based on data assimilation, Bayesian inference, statistics, and machine learning techniques. I'm particularly interested processes that affect the weather and climate we experience on daily to multidecadal time scales. At the moment my research focuses on two topics: (1) Arctic amplification and linkages to mid-latitude weather and climate, and (2) data assimilation and inverse methods to estimate regional-scale CO2 sources and sinks.
I'm currently involved with the CO2 Human Emissions (CHE) project, which is an initiative lead by ECMWF and comprised of 22 European partners to explore the development of a European system to monitor human-induced CO2 emissions across the world. My role in CHE is to evaluate how enhanced space-borne and in situ observations can improve top-down quantification of fossil fuel CO2 emissions.
Previously I worked on the NASA Atmospheric Carbon and Transport - America (ACT-America) mission, which aims at improving our understanding of atmospheric transport uncertainties and regional-scale sources and sinks of CO2 and methane through targeted airborne campaigns and inverse modeling.
The Arctic region is warming more than twice as fast as the rest of the world, with dramatic changes in the Arctic climate system including a rapid decline of Arctic sea ice. Some studies have suggested that the changes in the Arctic climate can cause systematic shifts in mid-latitude weather and climate, such as colder winters over the continents, known as the "Warm Arctic Cool Continents" pattern. I study Arctic climate change, Arctic amplification and linkages to mid-latitude weather and climate using a combination of observations, numerical modeling, and advanced statistical methods.
The climate has undoubtedly changed in the recent decades, but how to quantify this change in a useful way is not always straightforward. In my research, I use different metrics to quantify and diagnose climate change and climate variations.