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Featured researches published by J.J. Beersma.


Environmental Research Letters | 2014

Preparing local climate change scenarios for the Netherlands using resampling of climate model output

Geert Lenderink; B. J. J. M. van den Hurk; A. M. G. Klein Tank; G. J. van Oldenborgh; E. van Meijgaard; H. de Vries; J.J. Beersma

A method to prepare a set of four climate scenarios for the Netherlands is presented. These scenarios for climate change in 2050 and 2085 (compared to present-day) are intended for general use in climate change adaptation in the Netherlands. An ensemble of eight simulations with the global model EC-Earth and the regional climate model RACMO2 (run at 12 km resolution) is used. For each scenario time horizon, two target values of the global mean temperature rise are chosen based on the spread in the CMIP5 simulations. Next, the corresponding time periods in the EC-Earth/RACMO2 simulations are selected in which these target values of the global temperature rise are reached. The model output for these periods is then resampled using blocks of 5 yr periods. The rationale of resampling is that natural variations in the EC-Earth/RACMO2 ensemble are used to represent (part of the) uncertainty in the CMIP5 projections. Samples are then chosen with the aim of reconstructing the spread in seasonal temperature and precipitation changes in CMIP5 for the Netherlands. These selected samples form the basis of the scenarios. The resulting four scenarios represent 50–80% of the CMIP5 spread for summer and winter changes in seasonal means as well as a limited number of monthly statistics (warm, cold, wet and dry months). The strong point of the method—also in relation to the previous set of the climate scenarios for the Netherlands issued in 2006—is that it preserves nearly all physical inter-variable consistencies as they exist in the original model output in both space and time.


Hydrology and Earth System Sciences | 2012

Future changes in extreme precipitation in the Rhine basin based on global and regional climate model simulations

S.C. van Pelt; J.J. Beersma; T. A. Buishand; B. J. J. M. van den Hurk; P. Kabat


Climate Dynamics | 2015

Uncertainty in the future change of extreme precipitation over the Rhine basin: the role of internal climate variability

S.C. van Pelt; J.J. Beersma; T. A. Buishand; B. J. J. M. van den Hurk; J. Schellekens


Journal of Flood Risk Management | 2014

Including climate change projections in probabilistic flood risk assessment

Philip J. Ward; S.C. van Pelt; O. de Keizer; J.C.J.H. Aerts; J.J. Beersma; B. J. J. M. van den Hurk; A.H. te Linde


KNMI publicatie | 2014

KNMI14: Klimaatscenario's voor Nederland

A. M. G. Klein Tank; J.J. Beersma; J. Bessembinder; B. J. J. M. van den Hurk; Geert Lenderink


Archive | 2013

Deltascenario’s voor 2050 en 2100 : nadere uitwerking 2012-2013

W. Bruggemann; Ed Dammers; G.J. van den Born; B. Rijkens; B. van Bemmel; A. F. Bouwman; K. Nabielek; J.J. Beersma; B. J. J. M. van den Hurk; Nico Polman; V.G.M. Linderhof; C. Folmer; F. Huizinga; S. Hommes; A.H. te Linde; R. Didde; M. Roukema


Water Science and Technology | 2005

Hydrological simulations in the Rhine basin

B. J. J. M. van den Hurk; J.J. Beersma; Geert Lenderink


Archive | 2011

Attention to safety 2 (AVV2)

Philip J. Ward; J.C.J.H. Aerts; S.C. van Pelt; O. de Keizer; B. J. J. M. van den Hurk; J.J. Beersma; T. A. Buishand


Synthesis report | 2012

Attention to Safety 2

Philip J. Ward; J.C.J.H. Aerts; S.C. van Pelt; O. de Keizer; B. J. J. M. van den Hurk; J.J. Beersma; T. A. Buishand


H2O : tijdschrift voor watervoorziening en afvalwaterbehandeling | 2012

Nieuwe probabilistische methode om overstromingsrisico’s te schatten

S.C. van Pelt; Philip J. Ward; J.C.J.H. Aerts; J.J. Beersma

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B. J. J. M. van den Hurk

Royal Netherlands Meteorological Institute

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S.C. van Pelt

Wageningen University and Research Centre

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T. A. Buishand

Royal Netherlands Meteorological Institute

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Geert Lenderink

Royal Netherlands Meteorological Institute

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A. M. G. Klein Tank

Royal Netherlands Meteorological Institute

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P. Kabat

International Institute for Applied Systems Analysis

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