DOI: 10.5676/dwd/seasonal-epi-de_v2022.01_qa
title: 3-monatliche Anomalien und Qualitätsmaße der saisonalen Klimavorhersagen für Deutschland (EPISODES) Version 2022.01
title: 3-monthly anomalies and quality assessment of seasonal climate predictions for Germany (EPISODES) version 2022.01

description: Die 3-monatlichen Anomalien (für die Monat 1-3, 2-4, 3-5 und 4-6), die mittleren quadratischen Fehler (mse) und die Pearson-Korrelationskoeffizienten (corr_pea) werden für die saisonalen Klimavorhersagen des German Climate Forecast System GCFS2.1 berechnet, die mit der empirisch-statistischen Downscaling-Methode DWD-EPISODES Version 2022 über Deutschland gedownscalt werden. Die 3-monatlichen Anomalien und die entsprechenden Qualitätsmaße liegen auf einem deutschlandweiten Gitter von ca. 10 km x 10 km (regelmäßiges 0,15° x 0,1° Gitter) vor. Die Anomalien der folgenden Variablen sind im Datensatz enthalten: Lufttemperatur in 2 m höhe (Tagesmittel: tasAnom, Tagesmaximum: tasmaxAnom, Tagesminimum: tasminAnom), Niederschlag (prAnom), relative Feuchte in 2 m höhe (hursAnom), Globalstrahlung (rsdsAnom), Luftdruck auf Meereshöhe (pslAnom) und Windgeschwindigkeit in 10 m höhe (sfcWindAnom). Die 3-monatlichen Anomalien werden im Vergleich zur Klimaperiode von 1991 bis 2020 berechnet.
description: The 3-monthly anomalies (for months 1-3, 2-4, 3-5 and 4-6), the mean squared errors (mse) and the Pearson correlation coefficients (corr_pea) are calculated for the seasonal climate predictions of the German Climate Forecast System GCFS2.1 which are downscaled over Germany using the empirical-statistical downscaling method DWD-EPISODES version 2022. The 3-monthly anomalies and the corresponding quality measures are available on a Germany-wide grid of about 10 km x 10 km (regular 0.15° x 0.1° grid). The anomalies of the following variables are included in the data set: air temperature 2 m (daily mean: tasAnom, daily maximum: tasmaxAnom, daily minimum: tasminAnom), precipitation (prAnom), relative humidity 2 m (hursAnom), global radiation (rsdsAnom), sea level pressure (pslAnom), and wind speed 10 m (sfcWindAnom). The 3-monthly anomalies are calculated in comparison to the climate time period from 1991 to 2020.
description: The German Climate Forecast System is described by: Fröhlich, K., Dobrynin, M., Isensee, K. et al. (2021). The german climate forecast system: GCFS. Journal of Advances in Modeling Earth Systems, 13. DOI: 10.1029/2020MS002101
description: The German Climate Forecast System is described by: Fröhlich, K., Dobrynin, M., Isensee, K. et al. (2021). The german climate forecast system: GCFS. Journal of Advances in Modeling Earth Systems, 13. DOI: 10.1029/2020MS002101
description: The empirical-statistical downscaling method EPISODES is described by: Kreienkamp, F., Paxian, A., Früh, B. et al. (2019). Evaluation of the empirical-statistical downscaling method EPISODES. Clim Dyn, 52, 991-1026. DOI: 10.1007/s00382-018-4276-2.
description: The empirical-statistical downscaling method EPISODES is described by: Kreienkamp, F., Paxian, A., Früh, B. et al. (2019). Evaluation of the empirical-statistical downscaling method EPISODES. Clim Dyn, 52, 991-1026. DOI: 10.1007/s00382-018-4276-2.
description: Kreienkamp, F., Lorenz, P., Geiger, T. (2020). Statistically Downscaled CMIP6 Projections Show Stronger Warming for Germany. Atmosphere 11, 1245. DOI: 10.3390/atmos11111245. The latest EPISODES version 2022 contains minor bug fixes and technical updates for climate predictions.
description: Kreienkamp, F., Lorenz, P., Geiger, T. (2020). Statistically Downscaled CMIP6 Projections Show Stronger Warming for Germany. Atmosphere 11, 1245. DOI: 10.3390/atmos11111245. The latest EPISODES version 2022 contains minor bug fixes and technical updates for climate predictions.