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Bart Nijssen

University of Washington | Professor WOT

Subject Areas: Surface water hydrology, climate change, hydrological models

 Recent Activity

ABSTRACT:

Climate change, forecasting, satellite datasets, large model ensembles ... Large gridded datasets are everywhere in hydrology and earth science. While accessing and analyzing these datasets required some serious programming skills not so long ago, a number of toolkits are now available that let you easily access, ingest, analyze and display gridded climate datasets. In this webinar we’ll discuss one of the most common file formats used in our field for large data sets, the Network Common Data Format (NetCDF), and step through a Jupyter notebook to showcase python packages, such as xarray and cartopy, that can be used to examine them. No prior experience required, although we will build on some of the skills you have acquired in earlier webinars in the series.

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ABSTRACT:

The HydroShare Web App provides easy access to a containerized version of SUMMA as part of the NSF-funded Pangeo project. Pangeo uses docker images that contain SUMMA and pysumma and that allow SUMMA to be run from within Jupyter notebooks. The Pangeo instance enables SUMMA to be used in commercial cloud environments as well as for graduate education. Link to snow modeling course taught by Jessica Lundquist at the University of Washington as part of CUAHSI’s Virtual University in Fall 2018 (Snow Hydrology: Focus on Modeling). Link to graduate course taught by Bart Nijssen at the University of Washington in Spring 2019 (CEWA 564 Advanced Hydrology).

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Web App Resource Web App Resource
HydroShare Pangeo
Created: Sept. 21, 2018, 9:27 p.m.
Authors: Christina Bandaragoda · Bart Nijssen

ABSTRACT:

The HydroShare Web App provides easy access to a containerized version of SUMMA as part of the NSF-funded Pangeo project. Pangeo uses docker images that contain SUMMA and pysumma and that allow SUMMA to be run from within Jupyter notebooks. The Pangeo instance enables SUMMA to be used in commercial cloud environments as well as for graduate education. Link to snow modeling course taught by Jessica Lundquist at the University of Washington as part of CUAHSI’s Virtual University in Fall 2018 (Snow Hydrology: Focus on Modeling). Link to graduate course taught by Bart Nijssen at the University of Washington in Spring 2019 (CEWA 564 Advanced Hydrology).

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Waterhackweek 2019 Cyberseminar: Workflows for gridded climate datasets
Created: Aug. 27, 2019, 2:18 p.m.
Authors: Nijssen, Bart · Diana Gergel

ABSTRACT:

Climate change, forecasting, satellite datasets, large model ensembles ... Large gridded datasets are everywhere in hydrology and earth science. While accessing and analyzing these datasets required some serious programming skills not so long ago, a number of toolkits are now available that let you easily access, ingest, analyze and display gridded climate datasets. In this webinar we’ll discuss one of the most common file formats used in our field for large data sets, the Network Common Data Format (NetCDF), and step through a Jupyter notebook to showcase python packages, such as xarray and cartopy, that can be used to examine them. No prior experience required, although we will build on some of the skills you have acquired in earlier webinars in the series.

Show More