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Dr Femke Nijsse

Dr Femke Nijsse

Lecturer at Global Systems Institute

 7033

 Laver Building 

 

Laver Building, University of Exeter, North Park Road, Exeter, EX4 4QE, UK

Overview

I'm a complexity scientist working on innovation in the energy system and the transition towards sustainable energy. I have been involved in the EEIST project led previously by Jean-Francois Mercure. The project seeks to inform energy policy in China, Brazil and India, as well as the UK and the EU. As part of this project, I've improved the representation of the power sector in the energy-economy-environment model E3ME-FTT. Major energy technologies in E3ME-FTT are represented with evolutionary economics, so that the diffusion of a new technology follows an S-curve. I've improved the power sector model by improving the representation of learning, getting higher-quality data and improve the representation of energy storage.

As a next step, I'm involved in developing a submodel of E3ME-FTT for flexibility, storage and hydrogen to gain a better understanding of the diffusion of high shares of variable renewables, and the way sector coupling can help. This should inform what type of policies are effective now that the major barriers towards diffusion are changing (supply chain / grid stability rather than costs)

Career

PhD

I did my PhD within mathematics in the Exeter Climate Systems group with Peter Cox and Mark Williamson. It involved finding a theoretical basis for emergent constraints and improving (statistical) techniques. Emergent constraints are emergent relationships that appear when you have a group of climate models (an ensemble) in which relationship appears between a variable of past climate and a variable of future climate. 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. My focus was on decadal variability, historical warming and climate sensitivity.

Bachelor and Master

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 was in Meteorology, Physical Oceanography and Climate Physics.  For my master's thesis I worked with Henk Dijkstra to find a dynamical underpinning for emergent constraints using linear response theory.

Research

Publications

Key publications | Publications by category | Publications by year

Key publications


Nijsse FJMM, Cox PM, Williamson MS (2020). Emergent constraints on transient climate response. (TCR) and equilibrium climate sensitivity (ECS) from historical warming in CMIP5 and CMIP6 models. Earth System Dynamics, 11(3), 737-750. Abstract.
Nijsse F, Cox PM, Huntingford C, Williamson M (2019). Decadal global temperature variability increases strongly with climate sensitivity. Nature Climate Change, 9, 598-601.

Publications by category


Journal articles

Nijsse FJMM, Cox PM, Williamson MS (In Press). An emergent constraint on Transient Climate Response from simulated historical warming in CMIP6 models.  Abstract.
Nijsse FJMM, Cox PM, Williamson MS (In Press). An emergent constraint on transient warming from simulated historical warming in CMIP6 models.  Abstract.
Mercure J-F, Sharpe S, Vinuales JE, Ives M, Grubb M, Lam A, Drummond P, Pollitt H, Knobloch F, Nijsse FJMM, et al (2021). Risk-opportunity analysis for transformative policy design and appraisal. Global Environmental Change, 70, 102359-102359.
Huntingford C, Williamson MS, Nijsse FJMM (2020). CMIP6 climate models imply high committed warming. Climatic Change, 162(3), 1515-1520.
Williamson MS, Thackeray CW, Cox PM, Hall A, Huntingford C, Nijsse FJMM (2020). Emergent constraints on climate sensitivities.  Abstract.  Author URL.
Nijsse FJMM, Cox PM, Williamson MS (2020). Emergent constraints on transient climate response. (TCR) and equilibrium climate sensitivity (ECS) from historical warming in CMIP5 and CMIP6 models. Earth System Dynamics, 11(3), 737-750. Abstract.
Nijsse F, Cox PM, Huntingford C, Williamson M (2019). Decadal global temperature variability increases strongly with climate sensitivity. Nature Climate Change, 9, 598-601.
Nijsse FJMM, Dijkstra HA (2018). A mathematical approach to understanding emergent constraints. Earth System Dynamics, 9(3), 999-1012. Abstract.
Cox PM, Williamson MS, Nijsse FJMM, Huntingford C (2018). Cox et al. reply. Nature, 563(7729), E10-E15. Author URL.
Williamson MS, Cox PM, Nijsse FJMM (2018). Theoretical foundations of emergent constraints: relationships between. climate sensitivity and global temperature variability in conceptual models.  Abstract.  Author URL.

Publications by year


In Press

Nijsse FJMM, Cox PM, Williamson MS (In Press). An emergent constraint on Transient Climate Response from simulated historical warming in CMIP6 models.  Abstract.
Nijsse FJMM, Cox PM, Williamson MS (In Press). An emergent constraint on transient warming from simulated historical warming in CMIP6 models.  Abstract.

2022

Nijsse F, Mercure J, Ameli N, Larosa F, Kothari S, Rickman J, Vercoulen P, Pollitt H (2022). Is a solar future inevitable?.

2021

Mercure J-F, Sharpe S, Vinuales JE, Ives M, Grubb M, Lam A, Drummond P, Pollitt H, Knobloch F, Nijsse FJMM, et al (2021). Risk-opportunity analysis for transformative policy design and appraisal. Global Environmental Change, 70, 102359-102359.

2020

Huntingford C, Williamson MS, Nijsse FJMM (2020). CMIP6 climate models imply high committed warming. Climatic Change, 162(3), 1515-1520.
Williamson MS, Thackeray CW, Cox PM, Hall A, Huntingford C, Nijsse FJMM (2020). Emergent constraints on climate sensitivities.
Williamson MS, Thackeray CW, Cox PM, Hall A, Huntingford C, Nijsse FJMM (2020). Emergent constraints on climate sensitivities.  Abstract.  Author URL.
Nijsse FJMM, Cox PM, Williamson MS (2020). Emergent constraints on transient climate response. (TCR) and equilibrium climate sensitivity (ECS) from historical warming in CMIP5 and CMIP6 models. Earth System Dynamics, 11(3), 737-750. Abstract.

2019

Nijsse F, Cox PM, Huntingford C, Williamson M (2019). Decadal global temperature variability increases strongly with climate sensitivity. Nature Climate Change, 9, 598-601.
Westhoff M, Kleidon A, Schymanski S, Dewals B, Nijsse F, Renner M, Dijkstra H, Ozawa H, Savenije H, Dolman H, et al (2019). ESD Reviews: Thermodynamic optimality in Earth sciences. The missing constraints in modeling Earth system dynamics?. , 2019, 1-31.

2018

Nijsse FJMM, Dijkstra HA (2018). A mathematical approach to understanding emergent constraints. Earth System Dynamics, 9(3), 999-1012. Abstract.
Nijsse FJMM, Dijkstra HA (2018). A mathematical approach to understanding emergent constraints. , 1-24.
Cox PM, Williamson MS, Nijsse FJMM, Huntingford C (2018). Cox et al. reply. Nature, 563(7729), E10-E15. Author URL.
Williamson MS, Cox PM, Nijsse FJMM (2018). Theoretical foundations of emergent constraints: relationships between. climate sensitivity and global temperature variability in conceptual models.  Abstract.  Author URL.
Williamson MS, Cox PM, Nijsse FJMM (2018). Theoretical foundations of emergent constraints: relationships between. climate sensitivity and global temperature variability in conceptual models.

Femke_Nijsse Details from cache as at 2022-12-03 10:46:55

Refresh publications

Teaching

Postgraduate modules

  • GEOM144 Innovation and the Science-Policy Interface

Supervision / Group

Postgraduate researchers

  • Ian Burton
  • Olga Maria Ribeiro De Carvalho
  • Cormac Lynch

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