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Publication database KNMI

The publication database contains the (co-)authored publications in scientific journals, KNMI reports and other publications

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Publications

  1. Seasonal Streamflow Forecasting for Fresh Water Reservoir Management in the Netherlands: An Assessment of Multiple Prediction Systems

    For efficient management of the Dutch surface water reservoir Lake IJssel, (sub)seasonal forecast...

    Hurkmans, R. T. W. L., B. van den Hurk, M. Schmeits, F. Wetterhall, and I. G. Pechlivanidis | J. Hydrometeor. | 2023 | 24
  2. Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions

    Accurate forecasts of solar irradiance are required for the large-scale integration of solar phot...

    Frank P.M. Kreuwel, Wouter Knap, Maurice Schmeits, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden | Solar Energy | 2023 | 258
  3. Strengthening gradients in the tropical west Pacific connect to European summer temperatures on sub-seasonal timescales

    Recent work has shown that (sub-)seasonal variability in tropical Pacific convection, closely lin...

    Chiem van Straaten, Dim Coumou, Kirien Whan, Bart van den Hurk, and Maurice Schmeits | Weather and Climate Dynamics | 2023 | 4
  4. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

    Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Artif. Intell. Earth Syst. | 2023 | 2
  5. Blue-green roofs with forecast-based operation to reduce the impact of weather extremes

    Conventional green roofs have often been criticised for their limited water buffer capacity durin...

    Tim Busker, Hans de Moel, Toon Haer, Maurice Schmeits, Bart van den Hurk, Kira Myers, Dirk Gijsbert Cirkel, and Jeroen Aerts | Journal of Environmental Management | 2022 | 301
  6. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

    Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Monthly Weather Review | 2022 | 150
  7. Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World

    Statistical postprocessing techniques are nowadays key components of the forecasting suites in ma...

    Vannitsem, S., Bremnes, J. B., Demaeyer, J., Evans, G. R., Flowerdew, J., Hemri, S., Lerch, S., Roberts, N., Theis, S., Atencia, A., Ben Bouallègue, Z., Bhend, J., Dabernig, M., De Cruz, L., Hieta, L., Mestre, O., Moret, L., Plenković, I. O., Schmeits, M., Taillardat, M., Van den Bergh, J., Van Schaeybroeck, B., Whan, K., and Ylhaisi, J. | Bulletin of the American Meteorological Society | 2021 | 102
  8. Calibration of ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia) Using Bias-Corrected Precipitation and Climate Indices

    The seasonal precipitation forecast is one of the essential inputs for economic and agricultural ...

    Ratri, D. N., Whan, K., and Schmeits, M. | Weather and Forecasting | 2021 | 36
  9. Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks

    Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...

    Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Monthly Weather Review | 2021 | 149
  10. The influence of aggregation and statistical post‐processing on the subseasonal predictability of European temperatures

    The succession of European surface weather patterns has limited predictability because disturbanc...

    C van Straaten, K Whan, D Coumou, B van den Hurk, M Schmeits | published | Quart. J. Royal Meteor. Soc. | 2020 | 146
  11. Subseasonal Statistical Forecasts of Eastern U.S. Hot Temperature Events

    Extreme summer temperatures can cause severe societal impacts. Early warnings can aid societal pr...

    S Vijverberg, M Schmeits, K van der Wiel, D Coumou | published | Mon. Wea. Rev. | 2020 | 148
  12. Improving precipitation forecasts using extreme quantile regression

    Aiming to estimate extreme precipitation forecast quantiles, we propose a nonparametric regressio...

    J Velthoen, J Cai, G Jongbloed, M Schmeits | published | Extremes | 2019 | 22
  13. Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation

    The increased usage of solar energy places additional importance on forecasts of solar radiation....

    K Bakker, K Whan, W Knap, M Schmeits | published | Solar Energy | 2019 | 191
  14. A Comparative Verification of Raw and Bias-Corrected ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia)

    Dynamical seasonal forecasts are afflicted with biases, including seasonal ensemble precipitation...

    DN Ratri, K Whan, M Schmeits | published | Journal of Applied Meteorology and Climatology | 2019 | 58
  15. Statistical Postprocessing and Multivariate Structuring of High-Resolution Ensemble Precipitation Forecasts

    A comparison of statistical postprocessing methods is performed for high-resolution precipitation...

    C van Straaten, K Whan, M Schmeits | published | J. Hydrometeor. | 2018 | 19
  16. Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods

    Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...

    KRP Whan, MJ Schmeits | published | Mon. Wea. Rev. | 2018 | 146
  17. A comparative verification of high resolution precipitation forecasts using model output statistics

    Verification of localized events such as precipitation has become even more challenging with the ...

    Plas, Schmeits, Hooijman, Kok | published | Mon. Wea. Rev. | 2017 | 145
  18. Skill improvement of dynamical seasonal Arctic sea ice forecasts

    We explore the error and improve the skill of the outcome from dynamical seasonal Arctic sea ice ...

    F Krikken, MJ Schmeits, W Vlot, V Guemas, W Hazeleger | published | Geophys. Res. Lett. | 2016 | 43
  19. A Stratified Sampling Approach for Improved Sampling from a Calibrated Ensemble Forecast Distribution

    Before using the Schaake Shuffle or Empirical Copula Coupling to reconstruct the dependence struc...

    Y Hu, MJ Schmeits, S van Andel, JS Verkade, M Xu, DP Solomatine, Z Liang | published | J. Hydrometeor. | 2016 | 17
  20. Technical description of the KNMI Rainfall Generators for the Rhine and Meuse basins

    This report gives a technical description of what is briefly known as the KNMI Rainfall (or Weath...

    Jules J. Beersma, T. Adri Buishand and Maurice J. Schmeits | --2014 | pp32
  21. Rainfall generator for the Meuse basin: Description of simulations with and without a memory term and uncertainty analysis

    The rainfall generator has been developed to generate long synthetic sequences of daily precipita...

    Maurice Schmeits, Jules Beersma, Adri Buishand | 0-4-2014 | pp21
  22. Rainfall generator for the Rhine basin: Description of simulations using gridded precipitation datasets and uncertainty analysis

    The rainfall generator has been used to generate long synthetic series of daily precipitation and...

    Maurice Schmeits, Erwin Wolters, Jules Beersma, Adri Buishand | 0-1-2014 | pp29
  23. Over regenkansen en paraplu's

    Van vrijwel alle weersverwachtingen is de 24-uurskans op neerslag in de komende 5 of 6 dagen een ...

    MJ Schmeits | published | STAtOR | 2012 | 13
  24. Using MSG-SEVIRI cloud physical properties and weather radar observations for the detection of Cb/TCu clouds

    C Carbajal Henken, MJ Schmeits, H Deneke, RA Roebeling | published | Journal of Applied Meteorology and Climatology | 2011 | 50
  25. Detection of Cb and TCu clouds using MSG-SEVIRI cloud physical properties and weather radar observations

    Deep convective clouds, such as Towering Cumulus (TCu) and Cumulonimbus (Cb) clouds, may pose a s...

    CK Carbajal Henken, MJ Schmeits, ELA Wolters, RA Roebeling | 20-11-2009 | pp0