Karin van der Wiel

www.karinvanderwiel.nl | wiel@knmi.nl | (030) 2206 783




Hoi, ik ben Karin.

Ik werk op het Koninklijk Nederlands Meteorologisch Instituut (KNMI) als postdoctoraal wetenschappelijk onderzoeker.

Mijn onderszoeksinteresse is breed, onder andere dynamica van de atmosfeer, atmosfeer-oceaan interacties, extreme gebeurtenissen en regionaal weer. Ik ben geïnteresseerd in de manier waarop interne klimaat variabiliteit en de opwarming van de aarde deze verschillende aspecten verandert.

Het doel van mijn onderzoek is om bij te dragen aan onze kennis van het weer en klimaat op aarde op een manier die nuttig en bruikbaar is voor de samenleving.

Aarzel niet om contact te zoeken met vragen, verzoeken om PDFs van mijn publicaties of iets anders.


Onderzoeksprojecten

Extreme neerslag

Mild weer

Diagonale convergentie zones


Zeewind convergentie


Publicaties

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.

+ abstract (EN)

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.

- abstract (EN)           > pdf
On 4–6 December 2015, storm Desmond caused very heavy rainfall in Northern England and Southern Scotland which led to widespread flooding. A week after the event we provided an initial assessment of the influence of anthropogenic climate change on the likelihood of one-day precipitation events averaged over an area encompassing Northern England and Southern Scotland using data and methods available immediately after the event occurred. The analysis was based on three independent methods of extreme event attribution: historical observed trends, coupled climate model simulations and a large ensemble of regional model simulations. All three methods agreed that the effect of climate change was positive, making precipitation events like this about 40% more likely, with a provisional 2.5%–97.5% confidence interval of 5%–80%. Here we revisit the assessment using more station data, an additional monthly event definition, a second global climate model and regional model simulations of winter 2015/16. The overall result of the analysis is similar to the real-time analysis with a best estimate of a 59% increase in event frequency, but a larger confidence interval that does include no change. It is important to highlight that the observational data in the additional monthly analysis does not only represent the rainfall associated with storm Desmond but also that of storms Eve and Frank occurring towards the end of the month.

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.

+ abstract (EN)

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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+ Meer publicaties

Curriculum Vitae

Een pdf-versie van mijn C.V. is hier beschikbaar.

Contact

Dr. ir. Karin van der Wiel
Koninklijk Nederlands Meteorologisch Instituut
Postbus 201
3730 AE De Bilt

Telefoon: (030) 2206 783
E-mail: wiel@knmi.nl

Google Scholar: lijst van publicaties
ResearchGate: persoonlijk profiel
Twitter: karin_vdwiel