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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 | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1
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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 | Status: published | Journal: Journal of Applied Meteorology and Climatology | Volume: 58 | Year: 2019 | First page: 1709 | Last page: 1723 | doi: 10.1175/JAMC-D-18-0210.1
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A climate database with varying drought-heat signatures for climate impact modelling
Extreme climate events, such as droughts and heatwaves, can have large impacts on the environment...
E Tschumi, S Lienert, K van der Wiel, F Koos, J Zschleischler | Journal: Geoscience Data Journal | Volume: 9 | Year: 2022 | First page: 154 | Last page: 166 | doi: 10.1002/gdj3.129
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The effects of varying drought-heat signatures on terrestrial carbon dynamics and vegetation composition
The frequency and severity of droughts and heatwaves are projected to increase under global warmi...
E Tschumi, S Lienert, K van der Wiel, F Koos, J Zschleischler | Journal: Biogeosciences | Volume: 19 | Year: 2022 | First page: 1979 | Last page: 1993 | doi: 10.5194/bg-19-1979-2022
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Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET
This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm f...
A Chaikovsky, O Dubovik, B Holben, A Bril, P Goulob, D Tanre, G Pappalardo, U Wandinger, L Chaikovskaya, S Denisov, J Gurdo, A Lopatin, Y Karol, A Apituley, V Amiridis | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2016 | doi: 10.5194/amt-9-1181-2016
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