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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
black carbon Earth & Environmental Sciences
Kalman filter Earth & Environmental Sciences
climate modeling Earth & Environmental Sciences
cloud condensation nucleus Earth & Environmental Sciences
sampling Earth & Environmental Sciences
remote sensing Earth & Environmental Sciences
optical depth Earth & Environmental Sciences

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Research Output 2002 2019

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

Kalman filter
Aerosols
Kalman filters
transform
Mathematical transformations

The global aerosol-climate model echam6.3-ham2.3: Part 1: Aerosol evaluation

Tegen, I., Neubauer, D., Ferrachat, S., Drian, C. S. L., Bey, I., Schutgens, N., Stier, P., Watson-Parris, D., Stanelle, T., Schmidt, H., Rast, S., Kokkola, H., Schultz, M., Schroeder, S., Daskalakis, N., Barthel, S., Heinold, B. & Lohmann, U., 24 Apr 2019, In : Geoscientific Model Development. 12, 4, p. 1643-1677 35 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Climate models
Climate Models
Aerosol
Aerosols
climate modeling

On the Limits of CALIOP for Constraining Modeled Free Tropospheric Aerosol

Watson-Parris, D., Schutgens, N., Winker, D., Burton, S. P., Ferrare, R. A. & Stier, P., 16 Sep 2018, In : Geophysical Research Letters. 45, 17, p. 9260-9266 7 p.

Research output: Contribution to JournalArticleAcademicpeer-review

optical radar
aerosols
aerosol
polarization
backscatter

Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0

Di Tomaso, E., Schutgens, N. A. J., Jorba, O. & Garcia-Pando, C. P., 10 Mar 2017, In : Geoscientific Model Development. 10, 3, p. 1107-1129

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access

On the spatio-temporal representativeness of observations

Schutgens, N., Tsyro, S., Gryspeerdt, E., Goto, D., Weigum, N., Schulz, M. & Stier, P., 21 Aug 2017, In : Atmospheric Chemistry and Physics. 17, 16, p. 9761-9780 20 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
remote sensing
sampling
orography
black carbon
lidar