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Easy visualisation with Magics

S. Lamy-Thépaut, Milana Vuckovic
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18721-easy-visualisation-magics.pdf
CDO's python bindings

Mueller R.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18722-cdos-python-bindings.pdf
The Open Data Cube (ODC)- A tool to increase the value and impact of global Earth observation satellite data

Wicks D.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18723-open-data-cube-odc-tool-increase-value-and-impact-global-earth-observation-satellite-data.pdf
The WRF4G Python Framework for regional climate simulations with WRF model

Cofino A.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18724-wrf4g-python-framework-regional-climate-simulations-wrf-model.pdf
Parallel Python Tools for Handling Big Climate Data

Mickelson S., Paul K.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18725-parallel-python-tools-handling-big-climate-data.pdf
The Pangeo ecosystem for data proximate analytics

Hamman J.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18726-pangeo-ecosystem-data-proximate-analytics.pdf
CFGRIB: easy and efficient GRIB file access in xarray

Amici A.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18727-cfgrib-easy-and-efficient-grib-file-access-xarray.pdf
GLOFRIM 2.0: coupling hydrologic and hydrodynamic models across scales for improved flood simulations

Eilander D.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18728-glofrim-20-coupling-hydrologic-and-hydrodynamic-models-across-scales-improved-flood.pdf
Rainymotion and RainNet: optical flow and deep learning models for radar-based precipitation nowcasting

Ayzel G., Heistermann M., Winterrath T., Landwehr N., Scheffer T.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18729-rainymotion-and-rainnet-optical-flow-and-deep-learning-models-radar-based-precipitation.pdf
Python frameworks for the integration of a real-time data hub for meteorological and hydrological forecasting – benchmarks and design decisions

Morales A.S., Leng J.
2018, Workshop - Developing Python frameworks for earth system sciences, Presentation.

18730-python-frameworks-integration-real-time-data-hub-meteorological-and-hydrological-forecasting.pdf

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