Ms Femke Nijsse
Telephone: 01392 727033
Extension: (Streatham) 7033
I'm a third-year PhD candidate in mathematics in the Exeter Climate Systems group. My PhD is into finding a theoretical basis for emergent constraints and improving the (statistical) techniques used for them.
Emergent constraints are emergent relationships that appear when you have a group of different climate models (an ensemble) in which a mostly linear relationship appears between a variable of past climate and a variable of future climate. Using measurements of the first allows us to exploit this relationship and get a better estimate of our future climate. A theoretical basis is needed to prevent data mining of linear relationships.
I completed my Bachelor in Physics and Astronomy at Utrecht University, spending half a year doing modules in biology and geology at the University of Murcia in Spain. My Master's didn't appreciate the strength of short names and was in Meteorology, Physical Oceanography and Climate Physics. For my master's thesis I worked together with Henk Dijkstra on finding a dynamical underpinning for emergent constraints using linear response theory.
Nijsse, F.J.M.M. and Dijkstra, H A (2018) A mathematical approach to understanding emergent constraints, Earth Syst. Dynam., 9, 999-1012.
Cox, P.M., Williamson, M.S., Nijsse, F.J.M.M., Huntingford, C. (2018). Cox et al reply Nature 563, pagesE10–E15.
Williamson M.S., Cox P.M., Nijsse, F.J.M.M. (2019). Theoretical foundations of emergent constraints: relationships between climate sensitivity and global temperature variability in conceptual models Dynamics and Statistics of the Climate system 3:1
Nijsse, F.J.M.M., Cox, P.M., Huntingford, C., Williamson M.S. (2019). Decadal global temperature variability increases strongly with climate sensitivity. Nature Climate Change