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First 2272 results for ” Marlene Kretschmer”

1. 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 | Status: published | Journal: Solar Energy | Volume: 191 | Year: 2019 | First page: 138 | Last page: 150 | doi: 10.1016/j.solener.2019.08.044

   Publication

2. 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 | Status: published | Journal: Extremes | Volume: 22 | Year: 2019 | First page: 599 | Last page: 622 | doi: 10.1007/s10687-019-00355-1

   Publication

3. 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 | Status: published | Journal: Mon. Wea. Rev. | Volume: 145 | Year: 2017 | First page: 4037 | Last page: 4054 | doi: 10.1175/MWR-D-16-0256.1

   Publication

4. 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. | Journal: Weather and Forecasting | Volume: 36 | Year: 2021 | First page: 1375 | Last page: 1386 | doi: 10.1175/WAF-D-20-0124.1

   Publication

5. Probabilistic Forecasting of Cloud-Base Height and Visibility Using Quantile Regression Forests, Based on NWP and Observation Features

   We have applied quantile regression forests (QRFs) to generate probabilistic forecasts of weather...

   D. Wolters, M. Schmeits, and K. Whan | Journal: Wea. Forecasting | Volume: 40 | Year: 2025 | First page: 543 | Last page: 559 | doi: https://doi.org/10.1175/WAF-D-23-0231.1

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