Karin van der Wiel

www.karinvanderwiel.nl | wiel@knmi.nl | +31 (0)30 2206 783




Hi, I'm Karin.

I work as a postdoctoral research scientist at the Royal Netherlands Meteorological Institute (KNMI).

My general research interests include atmospheric dynamics, atmosphere-ocean interactions, extreme events, regional weather and the impact of weather on society. Most of my research focuses is on how internal climate variability and climate change might impact these topics.

I hope to contribute to increasing our understanding of Earth’s weather and climate in a way that is useful for society.

Please be in contact with any questions, requests for PDFs of publications or anything else.


Research projects

Extreme precipitation

Mild weather

Diagonal convergence zones


Converging sea breezes


Publications

Peer-reviewed

xiii. L Krishnamurthy, GA Vecchi, X Yang, K van der Wiel, V Balaji, SB Kapnick, L Jia, F Zeng, K Paffendorf, S Underwood (2018): Causes and probability of occurrence of extreme precipitation events like Chennai 2015. Journal of Climate, 31, pp. 3831–3848.

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Unprecedented high-intensity flooding induced by extreme precipitation was reported over Chennai in India during November–December of 2015, which led to extensive damage to human life and property. It is of utmost importance to determine the odds of occurrence of such extreme floods in the future, and the related climate phenomena, for planning and mitigation purposes. Here, a suite of simulations from GFDL high-resolution coupled climate models are used to investigate the odds of occurrence of extreme floods induced by extreme precipitation over Chennai and the role of radiative forcing and/or large-scale SST forcing in enhancing the probability of such events in the future. The climate of twentieth-century experiments with large ensembles suggest that the radiative forcing may not enhance the probability of extreme floods over Chennai. Doubling of CO2 experiments also fails to show evidence for an increase of such events in a global warming scenario. Further, this study explores the role of SST forcing from the Indian and Pacific Oceans on the odds of occurrence of Chennai-like floods. Neither El Nino nor La Nina enhances the probability of extreme floods over Chennai. However, a warm Bay of Bengal tends to increase the odds of occurrence of extreme Chennai-like floods. In order to trigger a Chennai like-flood, a conducive weather event, such as a tropical depression over the Bay of Bengal with strong transport of moisture from a moist atmosphere over the warm Bay, is necessary for the intense precipitation.

xii. FEL Otto, K van der Wiel, GJ van Oldenborgh, S Philip, S Kew, P Uhe, H Cullen (2018): Climate change increases the probability of heavy rains in Northern England/Southern Scotland like those of storm Desmond - a real-time event attribution revisited. Environmental Research Letters, 13, pp. 024006.

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xi.  GJ van Oldenborgh, K van der Wiel, A Sebastian, R Singh, J Arrighi, FEL Otto, K Haustein, S Li, GA Vecchi, H Cullen (2017): Attribution of extreme rainfall from Hurricane Harvey, August 2017. Environmental Research Letters, 12, pp. 124009. Featured article.

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x. K van der Wiel, ST Gille, SG Llewellyn Smith, PF Linden, C Cenedese (2017): Characteristics of colliding sea breeze gravity current fronts: a laboratory study. Quarterly Journal of the Royal Meteorological Society, 143, pp. 1434-1441.

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ix. K van der Wiel, SB Kapnick, GJ van Oldenborgh, K Whan, S Philip, GA Vecchi, RK Singh, J Arrighi, H Cullen (2017): Rapid attribution of the August 2016 flood-inducing extreme precipitation in south Louisiana to climate change. Hydrology and Earth System Sciences, 21, pp. 897-921. Highlighted article.

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viii. K van der Wiel, SB Kapnick, GA Vecchi (2017): Shifting patterns of mild weather in response to projected radiative forcing. Climatic Change, 140, pp. 649-658.

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vii. K van der Wiel, SB Kapnick, GA Vecchi, WF Cooke, TL Delworth, L Jia, H Murakami, S Underwood, F Zeng (2016): The resolution dependence of contiguous U.S. precipitation extremes in response to CO2 forcing. Journal of Climate, 29, pp. 7991-8012.

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vi. MA Stiller-Reeve, C Heuzé, WT Ball, RH White, G Messori, K van der Wiel, I Medhaug, AH Eckes, A O'Callaghan, MJ Newland, SR Williams, M Kasoar, HE Wittmeier and V Kumer (2016): Improving together: better science writing through peer learning. Hydrology and Earth System Science, 20, pp. 2965-2973.

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v. K van der Wiel, AJ Matthews, MM Joshi, DP Stevens (2016): The influence of diabatic heating in the South Pacific Convergence Zone on Rossby wave propagation and the mean flow. Quarterly Journal of the Royal Meteorological Society, 142, pp. 901-910.

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iv. K van der Wiel, AJ Matthews, MM Joshi, DP Stevens (2016): Why the South Pacific Convergence Zone is diagonal. Climate Dynamics, 46, pp. 1683-1698.

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iii. K van der Wiel, AJ Matthews, DP Stevens, MM Joshi (2015): A dynamical framework for the origin of the diagonal South Pacific and South Atlantic Convergence Zones. Quarterly Journal of the Royal Meteorological Society, 141, pp. 1997-2010. Featured article.

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ii. MM Joshi, M Stringer, K van der Wiel, A O'Callaghan, S Fueglistaler (2015): IGCM4: A fast, parallel and flexible intermediate climate model. Geoscientific Model Development, 8, pp. 1157-1167.

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i. W Hazeleger, X Wang, C Severijns, S Ştefănescu, R Bintanja, A Sterl, K Wyser, T Semmler, S Yang, B van den Hurk, T van Noije, E van der Linden, K van der Wiel (2012): EC-Earth V2.2: description and validation of a new seamless earth system prediction model. Climate Dynamics, 39, pp. 2611-2629.

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Curriculum Vitae

A pdf-version of my C.V. is available here.

Contact

Dr Karin van der Wiel
Royal Netherlands Meteorological Institute
Postbus 201
3730 AE De Bilt
Netherlands

Phone: +31 (0)30 2206 783
E-mail: wiel@knmi.nl

Google Scholar: list of publications
ResearchGate: personal profile
Twitter: karin_vdwiel