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Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models
Climate change has a large influence on the occurrence of extreme hydrological events. However, r...
SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108
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Effect of using local temperature measurements on the determination of freezing precipitation and fog
In aviation, meteorological observations are crucial to the operations of an airfield. These obse...
H.I. Bloemink, W.M.F. Wauben
| Year: 2012 | Pages: 44
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GABLS 3 SCM intercomparison and evaluation, what did we learn?
A weakly stable case is selected from the Cabauw long term archive. The case is used for an evalu...
FC Bosveld, P Baas, GJ Steeneveld, AAM Holtslag | Conference: Workshop on Diurnal cycles and the stable boundary layer, | Organisation: ECMWF | Place: Reading, UK | Year: 2011 | First page: 0 | Last page: 0
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Wind effects on snow cover in Pascua-Lama, Dry Andes of Chile
We present the first application of a distributed snow model (SnowModel) in the instrumented site...
S Gascoin, S Lhermitte, C Kinnnard, K Borstels, GE Liston | Status: published | Journal: Advances in Water Resources | Year: 2013 | doi: http://dx.doi.org/10.1016/j.advwatres.2012.11.013
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TR5.1 A Review and Meta-analysis of Current Understanding and Prospects for Development Based on the ARISE Technologies
This Technical Report reviews current and future needs for weather and climate forecasting, in th...
PSM Smets, C Lee, A Charlton-Perez, LG Evers, G Harrison | Year: 2012
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