The data for the idealized test for the paper "Numerical weather prediction at 200m local resolution based on an unstructured grid global model" are in the Idealized_Test_Global_96km.tar.bz2 and Idealized_Test_HK200m_100km.tar.bz2 files. The data of CPAS model output is stored as Demo data of the CPAS cloud platform with Jupyter visualization tools and user interface. Please see "How-to-visualize-CPAS-model-data.pdf" on how to use it
The Model for Prediction Across Scales (MPAS) is a novel set of Earth system simulation components a...
Poster about superparameterization of clouds, convection and turbulence in the global atmospheric mo...
Dataset created for machine learning and deep learning training and teaching purposes. Can for insta...
The data for shallow water test for the paper "Evaluation of a customized variable-resolution global...
Unified Model data, in pp format, for machine learning of cloud-base height based on profiles of tem...
The Model for Prediction Across Scales (MPAS) is a novel set of Earth system simulation components a...
Regional weather forecasting models like the Weather Research and Forecasting (WRF) model allow for ...
Input geometry and result data derived from the research "A cloud-based platform to predict wind pre...
We present multi-seasonal simulations representative of present-day and future environments using th...
The ability to predict the weather carries great societal benefit. To ascertain reliable predictions...
A non-hydrostatic global model (MPAS) is being implemented in CESM and tested for short-time weather...
File kmds_202812 contains the observations at weather stations (following international code) that a...
The Model for Prediction Across Scales (MPAS) is a collaborative project for developing atmosphere, ...
This report is based of the weather prediction model developed and run by the European Centre for Me...
For two formulations of currently usual numerical weather prediction models the evolution of maximum...
The Model for Prediction Across Scales (MPAS) is a novel set of Earth system simulation components a...
Poster about superparameterization of clouds, convection and turbulence in the global atmospheric mo...
Dataset created for machine learning and deep learning training and teaching purposes. Can for insta...
The data for shallow water test for the paper "Evaluation of a customized variable-resolution global...
Unified Model data, in pp format, for machine learning of cloud-base height based on profiles of tem...
The Model for Prediction Across Scales (MPAS) is a novel set of Earth system simulation components a...
Regional weather forecasting models like the Weather Research and Forecasting (WRF) model allow for ...
Input geometry and result data derived from the research "A cloud-based platform to predict wind pre...
We present multi-seasonal simulations representative of present-day and future environments using th...
The ability to predict the weather carries great societal benefit. To ascertain reliable predictions...
A non-hydrostatic global model (MPAS) is being implemented in CESM and tested for short-time weather...
File kmds_202812 contains the observations at weather stations (following international code) that a...
The Model for Prediction Across Scales (MPAS) is a collaborative project for developing atmosphere, ...
This report is based of the weather prediction model developed and run by the European Centre for Me...
For two formulations of currently usual numerical weather prediction models the evolution of maximum...
The Model for Prediction Across Scales (MPAS) is a novel set of Earth system simulation components a...
Poster about superparameterization of clouds, convection and turbulence in the global atmospheric mo...
Dataset created for machine learning and deep learning training and teaching purposes. Can for insta...