Quantile regression forests for post-processing ECWMF ensemble precipitation forecasts: hyperparameter optimization and comparison to EMOS

Autor: Eva van der Kooij, Antonello Squintu, Kirien Whan, Maurice Schmeits

Ensemble forecasts are important due to their ability to characterize forecast uncertainty, which is fundamental when forecasting extreme weather. Ensemble forecasts are however often biased and underdispersed and thus need to be post-processed.A com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e82464d1e47ead74f1a3f07f0721b7fd
https://doi.org/10.5194/egusphere-egu23-14560

Seasonal streamflow forecasting for fresh water reservoir management in the Netherlands: an assessment of multiple prediction systems

Autor: Ruud T.W.L. Hurkmans, Bart van den Hurk, Maurice Schmeits, Fredrik Wetterhall, Ilias G. Pechlivanidis

Publikováno v: Journal of Hydrometeorology.

For efficient management of the Dutch surface water reservoir Lake IJssel, (sub)seasonal forecasts of the water volumes going in and out of the reservoir are potentially of great interest. Here, streamflow forecasts were analyzed for the river Rhine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd0da8334a229ca8bde1fdf0b401442a
https://doi.org/10.1175/jhm-d-22-0107.1

Blue-green roofs with forecast-based operation to reduce the impact of weather extremes

Autor: Hans de Moel, Bart van den Hurk, Toon Haer, Dirk Gijsbert Cirkel, Kira Myers, Jeroen C. J. H. Aerts, Maurice Schmeits, Tim Busker

Publikováno v: Journal of Environmental Management, 301:113750, 1-12. Academic Press Inc.
Busker, T, de Moel, H, Haer, T, Schmeits, M, van den Hurk, B, Myers, K, Cirkel, D G & Aerts, J 2022, ' Blue-green roofs with forecast-based operation to reduce the impact of weather extremes ', Journal of Environmental Management, vol. 301, 113750, pp. 1-12 . https://doi.org/10.1016/j.jenvman.2021.113750

Conventional green roofs have often been criticised for their limited water buffer capacity during extreme rainfall events and for their susceptibility to droughts when additional irrigation is unavailable. One solution to these challenges is to crea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c0d3ef964b0cb042fb5fa06b4710ca2
https://doi.org/10.1016/j.jenvman.2021.113750

Multivariate post-processing of temporal dependencies with autoregressive and LSTM neural networks

Autor: Daniel Tolomei, Sjoerd Dirksen, Kirien Whan, Maurice Schmeits

We consider the problem of post-processing forecasts for multiple lead times simultaneously. In particular, we focus on post-processing wind speed forecasts for consecutive lead times (0 - 48h ahead) from the deterministic HARMONIE-AROME NWP model. G

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::57d70ca4d1fd264c7562a98ae0a4e11d
https://doi.org/10.5194/egusphere-egu22-13413

Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation

Autor: Kilian Bakker, Maurice Schmeits, Wouter H. Knap, Kirien Whan

Publikováno v: Solar Energy. 191:138-150

The increased usage of solar energy places additional importance on forecasts of solar radiation. Solar panel power production is primarily driven by the amount of solar radiation and it is therefore important to have accurate forecasts of solar radi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdc79626487de154123fb9c044b9479a
https://doi.org/10.1016/j.solener.2019.08.044