Lab-0006: Difference between revisions

Latest revision as of 14:19, 14 April 2022

Future Sediment Flux of the Ganges River

Model
HydroTrend

Duration
1.0 hrs

Updated
2022-04-14

Download
download

Run online using:

Jupyter
Lab

Contributor(s)

Irina Overeem at INSTAAR - University of Colorado.

Introduction

The Ganges-Brahmaputra Delta is one of the largest deltas in the world. In Bangladesh alone, 160 million people live in the floodplains. The Ganges and Brahmaputra Rivers and their delta are strongly impacted by the Asian summer monsoon. Widespread hazards relate to the intense seasonal rainfall: flooding, river erosion and channel switches. The people of Bangladesh have adapted to this dynamic delta system by raising villages above the annual flood level and embanking agricultural land.

Still, the lowlands of the Ganges-Brahmaputra Delta are considered one of the regions most at risk from climate change, and particularly from sea level rise. About 75 million people live in the GB coastal zone (defined as the region <10 m.a.s.l). It is thought that the impact of relative sea-level change will be profound in Bangladesh where 32% of the country is already affected by tides, salinization, and cyclones/storm surges. At the same time, the Ganges-Brahmaputra river system drains tremendous amounts of sediment (sand, silt and clay) from its steep Himalayan hinterland. We ask: how does this amount of sediment change with a changing monsoonal climate? Does this sediment aggrade fast enough to help counteract rapid sea-level rise?

Classroom organization
This lab replicates and improves upon simulations originally run by Frances Dunn and Stephen Darby, reported in Darby et al. 2015. This simulation is driven by climate predictions (daily temperature and precipitation) obtained from the Hadley Centre (HadRM3P) Regional Climate Model. The Q0 realization is utilized in this lab.

This lab can be run on either the lab (for educators) or jupyter (for general use) instance of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel.

If you don't already have a JupyterHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get JupyterHub accounts for students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.

Learning objectives
Skills

Use pymt to run the HydroTrend model
Become familiar with a basic configuration of the HydroTrend model`
Make small changes to key input parameters in HydroTrend
Gain hands-on experience with visualizing output in Python

Key concepts

Simulation of discharge for the Ganges River
Simulation of suspended sediment discharge for the Ganges River
Explore mean annual water discharge trends through time

Lab notes

Launch binder

Instead of downloading the lab Notebook and running it locally, or running it through the CSDMS JupyterHub, you can also run it on Binder. Follow these steps:

>> Open a new browser window and go to: https://pymt.readthedocs.io/en/latest/examples.html

>> You will see that there are several example models. In this lab we will select the HydroTrend model.

>> Click on the "Launch Binder" button to run this lab.

Note that Binder is a free and popular service for running Jupyter Notebooks, so it can be slow to load at times.

The HydroTrend model is run with the Python Modeling Tool, pymt. Learn more about pymt at: https://pymt.readthedocs.io.

Requirements
If you downloaded this lab to your computer, you'll need addtional data files. Download them with: https://downgit.github.io/#/home?url=https://github.com/csdms/pymt/tree/master/notebooks/Ganges. Also, if run locally, this lab requires the installtion of pymt; see https://pymt.readthedocs.io/en/latest/quickstart.html for instructions. This lab runs on Linux and macOS.

Acknowledgements
This material is based upon work supported by the National Science Foundation under Grant No. 1831623, Community Facility Support: The Community Surface Dynamics Modeling System (CSDMS).

References

Kettner, A.J., and Syvitski, J.P.M., 2008. HydroTrend version 3.0: a Climate-Driven Hydrological Transport Model that Simulates Discharge and Sediment Load leaving a River System. Computers & Geosciences, 34(10), 1170-1183. doi: 10.1016/j.cageo.2008.02.008
Darby, S. E., Dunn, F. E., Nicholls, R.J., Rahman, M. and Riddy, L. 2015. A first look at the influence of anthropogenic climate change on the future delivery of fluvial sediment to the Ganges–Brahmaputra–Meghna delta. Environmental Science: Processes & Impacts. doi:10.1039/c5em00252d

@@ Line 2: / Line 2: @@
 |Labtitle=Future Sediment Flux of the Ganges River
 |LabCOModule=1 of 1
-|LabDateContributedOrUpdated=2020/03/26
+|LabDateContributedOrUpdated=2022-04-14
-|LabDescriptionShort=Investigate river sediment supply of the monsoon-driven Ganges River. Exploring the effects of future climate changes. We validate model against observations and discuss uncertainty.
+|LabDescriptionShort=Investigate river sediment supply of the monsoon-driven Ganges River. Explore the effects of future climate changes. Validate a model against observations and discuss uncertainty.
 |LabCODuration=1.0 hrs
 |LabModelDocumentation=HydroTrend
+|LabAssociatedLesson=Jupyter Notebook
+|LabURLDownloadNotebook=https://downgit.github.io/#/home?url=https://github.com/csdms/pymt/blob/master/notebooks/hydrotrend_Ganges.ipynb
+|LabURLStartNotebook=https://jupyter.openearthscape.org/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcsdms%2Fpymt&urlpath=tree%2Fpymt%2Fnotebooks%2Fhydrotrend_Ganges.ipynb&branch=master
+|LabURL2StartNotebook=https://lab.openearthscape.org/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcsdms%2Fpymt&urlpath=tree%2Fpymt%2Fnotebooks%2Fhydrotrend_Ganges.ipynb&branch=master
+}}
+{{LabContributorData
+|LabContributorName=Irina Overeem
+|LabContributorInstitute=INSTAAR - University of Colorado
+|LabContributorURLPersonal=http://instaar.colorado.edu/people/irina-overeem/
 }}
 {{LabIntro
-|LabDescription=The Ganges-Brahmaputra Delta is one of the largest deltas in the world. In Bangladesh alone, 160 million people live in the floodplains. The Ganges and Brahmaputra Rivers and their delta are strongly impacted by the Asian summer monsoon. Widespread hazards relate to the intense seasonal rainfall: flooding, river erosion and channel switches. The people of Bangladesh have adapted to this dynamic delta system, they have raised villages above the annual flood level and embanked agricultural land.
+|LabDescription=The Ganges-Brahmaputra Delta is one of the largest deltas in the world. In Bangladesh alone, 160 million people live in the floodplains. The Ganges and Brahmaputra Rivers and their delta are strongly impacted by the Asian summer monsoon. Widespread hazards relate to the intense seasonal rainfall: flooding, river erosion and channel switches. The people of Bangladesh have adapted to this dynamic delta system by raising villages above the annual flood level and embanking agricultural land.<br><br>
 Still, the lowlands of the Ganges-Brahmaputra Delta are considered one of the regions most at risk from climate change, and particularly from sea level rise. About 75 million people live in the GB coastal zone (defined as the region <10 m.a.s.l). It is thought that the impact of relative sea-level change will be profound in Bangladesh where 32% of the country is already affected by tides, salinization, and cyclones/storm surges. At the same time, the Ganges-Brahmaputra river system drains tremendous amounts of sediment (sand, silt and clay) from its steep Himalayan hinterland. We ask: how does this amount of sediment change with a changing monsoonal climate? Does this sediment aggrade fast enough to help counteract rapid sea-level rise?
@@ Line 15: / Line 23: @@
 }}
 {{LabClassroomOrganization
-|LabCOIntro=This lab investigates 1) the modeling of the incoming water and sediment load of the Ganges river, 2) the validity of model output compared to real-world observations, and 3) how future changes in the monsoon possibly affect this sedimentary system and 4) we try to assess the uncertainty of such predictions.
+|LabCOIntro=This lab replicates and improves upon simulations originally run by Frances Dunn and Stephen Darby, reported in Darby et al. 2015. This simulation is driven by climate predictions (daily temperature and precipitation) obtained from the Hadley Centre (HadRM3P) Regional Climate Model. The Q0 realization is utilized in this lab.<br><br>
-This lab will run HydroTrend simulation with Python Modeling Tool (Pymt). If you have never used the Pymt, learn how to use it: https://pymt.readthedocs.io/en/latest/install.html. The Pymt allows you to set up simulations and run notebooks.
+<p>This lab can be run on either the <em>lab</em> (for educators) or <em>jupyter</em> (for general use) instance of the OpenEarthscape JupyterHub: just click one of the links under the <strong>Run online using</strong> heading at the top of this page, then run the notebook in  the "CSDMS" kernel.</p>
-If you are a faculty at an academic institution, it is possible to work with us to get temporary teaching accounts. Work directly with us by emailing: csdms@colorado.edu
+<p>If you don't already have a JupyterHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get JupyterHub accounts for students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p>
 }}
 {{LabLearningObjectivesSkills
-|LabSkill=use Pymt to run HydroTrend Model
+|LabSkill=Use ''pymt'' to run the HydroTrend model
 }}
 {{LabLearningObjectivesSkills
-|LabSkill=familiarize with a basic configuration of the HydroTrend Model
+|LabSkill=Become familiar with a basic configuration of the HydroTrend model`
 }}
 {{LabLearningObjectivesSkills
-|LabSkill=make small changes to key input parameters
+|LabSkill=Make small changes to key input parameters in HydroTrend
 }}
 {{LabLearningObjectivesSkills
-|LabSkill=hands-on experience with visualizing output in Python
+|LabSkill=Gain hands-on experience with visualizing output in Python
 }}
 {{Headerplaceholder}}
 {{LabTopicalLearningObjectives
-|LabTopicalLearningObjective=Simulation of the river discharge for Ganges River
+|LabTopicalLearningObjective=Simulation of discharge for the Ganges River
 }}
 {{LabTopicalLearningObjectives
-|LabTopicalLearningObjective=Simulation of the suspended sediment discharge for Ganges River
+|LabTopicalLearningObjective=Simulation of suspended sediment discharge for the Ganges River
 }}
 {{LabTopicalLearningObjectives
-|LabTopicalLearningObjective=What is the mean annual flow for Ganges River
+|LabTopicalLearningObjective=Explore mean annual water discharge trends through time
 }}
 {{LabNotes
-|LabNotesInstructions=You can launch binder to directly run the Jupyter Notebook for this lab through a web browser.
+|LabNotesInstructions=Instead of downloading the lab Notebook and running it locally, or running it through the CSDMS JupyterHub, you can also run it on Binder. Follow these steps:
+<br>
+>> Open a new browser window and go to: https://pymt.readthedocs.io/en/latest/examples.html
->> Open a new browser window and open the Pymt read the docs page: https://pymt.readthedocs.io/en/latest/examples.html
+>> You will see that there are several example models. In this lab we will select the HydroTrend model.
->> You will see that there are several example models. In this lab we will select the HydroTrend model.
+>> Click on the "Launch Binder" button to run this lab.
->> Click on the 'Launch Binder' box and it will allow you to see this lab as a Jupyter Notebook.
+Note that Binder is a free and popular service for running Jupyter Notebooks, so it can be slow to load at times.
->> You can execute the Jupyter notebook code cells using shift -enter.
+The HydroTrend model is run with the Python Modeling Tool, ''pymt''. Learn more about ''pymt'' at: https://pymt.readthedocs.io.
-|LabNotesFigure=Launch_binder_hydrotrend2.png
+|LabNotesFigure=Launch binder Ganges.png
 |LabNotesFigureCaption=Launch binder
-|LabNotesRequirements=--
+|LabNotesRequirements=If you downloaded this lab to your computer, you'll need addtional data files. Download them with: https://downgit.github.io/#/home?url=https://github.com/csdms/pymt/tree/master/notebooks/Ganges. Also, if run locally, this lab requires the installtion of ''pymt''; see https://pymt.readthedocs.io/en/latest/quickstart.html for instructions. This lab runs on Linux and macOS.
+|LabAcknowledgements=This material is based upon work supported by the National Science Foundation under Grant No. 1831623, ''Community Facility Support: The Community Surface Dynamics Modeling System (CSDMS)''.
 }}
 {{LabReferences
 |LabReferences=Kettner, A.J., and Syvitski, J.P.M., 2008. HydroTrend version 3.0: a Climate-Driven Hydrological Transport Model that Simulates Discharge and Sediment Load leaving a River System. Computers & Geosciences, 34(10), 1170-1183. doi: 10.1016/j.cageo.2008.02.008
+}}
+{{LabReferences
+|LabReferences=Darby, S. E., Dunn, F. E., Nicholls, R.J., Rahman, M. and Riddy, L. 2015. A first look at the influence of anthropogenic climate change on the future delivery of fluvial sediment to the Ganges–Brahmaputra–Meghna delta. Environmental Science: Processes & Impacts. doi:10.1039/c5em00252d
 }}