The dataset contains an one column output of the temperature, dew point and six hydrometeor categories of the numerical atmospheric ICON Large Eddy simulation model from the HD(CP)² (High Definition Clouds and Precipitation for advancing Climate Prediction) runs (Heinze et al., 2017, doi:10.1002/qj.2947). The data covers one day of 26 April 2013 with a time resolution of 9 seconds. The column is located at Krauthause, Germany (roughly 50 km west of Cologne). The six hydrometeor categories are: cloud water, cloud ice, rain water, snow, graupel and hail
The computational performance of supercomputers is usually expressed in terms of their theoretical ...
During the Special Observation Period (SOP, 7 September–15 November, 1999) of the Mesoscale Alpine...
Current state-of-the-art regional numerical weather prediction (NWP) models employ kilometer-scale h...
Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) coveri...
Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) coveri...
Clouds and precipitation are an essential element of the climate system, but they are difficult to a...
ICON (ICOsahedral Nonhydrostatic) is a unified modeling system for global numerical weather predicti...
A profound understanding of clouds and precipitation is crucial to reduce the largest uncertainties ...
Data sets including all observational and ICON model data for publication in Atmosperic Chemistry an...
A multi-model ensemble of regional climate projections is used to estimate the climate change signal...
Abstract. Clouds and aerosols contribute the largest uncertainty to current estimates and interpreta...
Capsule SummaryMultitude of clouds and precipitation observations in Germany is described. Data are ...
Compared to alluvial floods, flash or pluvial floods are difficult to predict because they result fr...
International audienceRealistic simulations of clouds are of uppermost importance for climate modell...
ICON‐A is the new icosahedral non‐hydrostatic (ICON) atmospheric general circulation model in a conf...
The computational performance of supercomputers is usually expressed in terms of their theoretical ...
During the Special Observation Period (SOP, 7 September–15 November, 1999) of the Mesoscale Alpine...
Current state-of-the-art regional numerical weather prediction (NWP) models employ kilometer-scale h...
Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) coveri...
Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) coveri...
Clouds and precipitation are an essential element of the climate system, but they are difficult to a...
ICON (ICOsahedral Nonhydrostatic) is a unified modeling system for global numerical weather predicti...
A profound understanding of clouds and precipitation is crucial to reduce the largest uncertainties ...
Data sets including all observational and ICON model data for publication in Atmosperic Chemistry an...
A multi-model ensemble of regional climate projections is used to estimate the climate change signal...
Abstract. Clouds and aerosols contribute the largest uncertainty to current estimates and interpreta...
Capsule SummaryMultitude of clouds and precipitation observations in Germany is described. Data are ...
Compared to alluvial floods, flash or pluvial floods are difficult to predict because they result fr...
International audienceRealistic simulations of clouds are of uppermost importance for climate modell...
ICON‐A is the new icosahedral non‐hydrostatic (ICON) atmospheric general circulation model in a conf...
The computational performance of supercomputers is usually expressed in terms of their theoretical ...
During the Special Observation Period (SOP, 7 September–15 November, 1999) of the Mesoscale Alpine...
Current state-of-the-art regional numerical weather prediction (NWP) models employ kilometer-scale h...