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Personal information

I have a PhD in astrophysics and have since worked in Earth science, on atmospheric composition. My main interests are the climate, biosphere and health impacts of aerosol. I work on the interface between observations and models, using one to make sense of the other. 

I am a Dutch national and have worked before in the Netherlands (KNMI), Japan (NICT and University of Tokyo) and England (University of Oxford).

Research

Recently, I studied observational spatio-temporal sampling impacts on model evaluation and showed sampling can introduce large and unneccessary errors. Currently I am intercomparing a large dataset of satellite remote sensing products for aerosol, evaluating AEROCOM models with that same satellite dataset and trying to deduce the source of model errors.

In the past I worked on data assimilation of aerosol, and developed an ensemble Kalman filter/smoother to estimate aerosol emissions from satellite measurements. This system is used by other researchers ( at NIES in Japan and BSC in Spain). Soon I will return to this work as we will upgrade the system to operate with the ECHAM-HAM global model and multi-angle polarisation measurements from POLDER PARASOL.

I am also starting to use WRF-Chem to simulate landscape fires in order to better understand climate impacts of biomass burning aerosol. 

 

Education

I studied astrophysics at Utrecht University in the Netherlands and obtained my PhD (on oscillations in solar prominences) from that same place.

Education/Academic qualification

astrophysics, PhD, Universiteit Utrecht

Fingerprint Dive into the research topics where Nick Schutgens is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

aerosol Earth & Environmental Sciences
Kalman filter Earth & Environmental Sciences
climate modeling Earth & Environmental Sciences
optical depth Earth & Environmental Sciences
CALIPSO Earth & Environmental Sciences
cloud condensation nucleus Earth & Environmental Sciences
radiative forcing Earth & Environmental Sciences
black carbon Earth & Environmental Sciences

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Research Output 2002 2019

Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing

Yoshioka, M., Regayre, L. A., Pringle, K. J., Johnson, J. S., Mann, G. W., Partridge, D. G., Sexton, D. M. H., Lister, G. M. S., Schutgens, N., Stier, P., Kipling, Z., Bellouin, N., Browse, J., Booth, B. B. B., Johnson, C. E., Johnson, B., Mollard, J. D. P., Lee, L. & Carslaw, K. S., 1 Nov 2019, In : Journal of Advances in Modeling Earth Systems. 11, 11, p. 3728-3754 27 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Climate models
radiative forcing
Aerosols
global climate
climate modeling

Hourly Aerosol Assimilation of Himawari-8 AOT Using the Four-Dimensional Local Ensemble Transform Kalman Filter

Dai, T., Cheng, Y., Suzuki, K., Goto, D., Kikuchi, M., Schutgens, N. A. J., Yoshida, M., Zhang, P., Husi, L., Shi, G. & Nakajima, T., 20 Feb 2019, In : Journal of Advances in Modeling Earth Systems. p. 1-32 32 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Kalman filter
Aerosols
Kalman filters
transform
Mathematical transformations

In situ constraints on the vertical distribution of global aerosol

Watson-Parris, D., Schutgens, N., Reddington, C., Pringle, K. J., Liu, D., Allan, J. D., Coe, H., Carslaw, K. S. & Stier, P., 23 Sep 2019, In : Atmospheric Chemistry and Physics. 19, 18, p. 11765-11790 26 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
vertical distribution
aerosol
cloud condensation nucleus
airborne survey
in situ

Inverting the east Asian dust emission fluxes using the ensemble Kalman smoother and Himawari-8 AODs: A case study with WRF-Chem v3.5.1

Dai, T., Cheng, Y., Goto, D., Schutgens, N. A. J., Kikuchi, M., Yoshida, M., Shi, G. & Nakajima, T., 12 Sep 2019, In : Atmosphere. 10, 9, p. 1-14 14 p., 543.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
optical depth
aerosol
dust
geostationary satellite
CALIPSO

Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter

Cheng, Y., Dai, T., Goto, D., A J Schutgens, N., Shi, G. & Nakajima, T., 5 Nov 2019, In : Atmospheric Chemistry and Physics. 19, 21, p. 13445-13467 23 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
CALIPSO
Kalman filter
aerosol
MODIS
extinction coefficient