Using Earth Observations to Monitor Water Budgets for River Basin Management II [Advanced]

Key Info
URL - the landing page for the learning resource: 
https://arset.gsfc.nasa.gov/water/webinars/water-budgets-river-basin?utm_source=…
Description - a brief synopsis, abstract or summary of what the learning resource is about: 
Rivers are a major source of fresh water. They support aquatic and terrestrial ecosystems, provide transportation, generate hydropower, and when treated, provide drinking and agricultural water. Estimating and monitoring water budgets within a river basin is required for sustainable management of water resources and flooding within watersheds. This advanced-level webinar series will focus on the use of NASA Earth observations and Earth system-modeled data for estimating water budgets in river basins.
Past ARSET training on monitoring water budgets for river basins focused on data sources relevant for river basin monitoring and management and provided case studies for estimating the water budget of a watershed using remote sensing products. This advanced webinar will include lectures and hands-on exercises for participants to estimate water budgets for a given river basin.

Learning Objectives:
 By the end of this training, attendees will be able to:


  • Identify and access remote sensing and Earth system-modeled data for estimating water budgets in a river basin

  • Explain the uncertainties involved in estimating water budgets for river basins

  • Replicate the steps for estimating water budgets for a river basin and sub-watersheds using remote sensing products and GIS


Course Format: 


  • Three, two-hour webinars 

  • A certificate of completion will also be available to participants who attend all sessions and complete the homework assignment, which will be based on the webinar sessions.

  • NOTE: Certificates of completion only indicate participation in all aspects of the training.

  • They do not imply proficiency on the subject matter, nor should they be seen as a professional certification.



Prerequisites: Attendees who have not completed the following may not be prepared for the pace of the training:



Portions of the series will include data import to QGIS. If you wish to follow along with those steps, please install using the instructions here:



Part 1: Review and Access of Earth Observations and Earth System-Modeled Data for River Basin Monitoring and Management


This session will provide an overview of data sources relevant to estimating water budgets for a river basin. There will be a demonstration and guided exercise to download water budget component data to estimate the water budget of a given watershed using remote sensing products.


Part 2: Water Budget Estimation using Remote Sensing Observations
This session will include a demonstration and step-by-step exercise to estimate an integrated water budget over a river basin using Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) precipitation data, Atmosphere Land Exchange Inverse (ALEXI) evapotranspiration data, and Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage data, all analyzed with QGIS.
Part 3: Water Budget Estimation using the Global Land Data Assimilation Model
The final session will include a demonstration and step-by-step exercise to estimate water budgets at a sub-watershed level within a river basin using water budget components from the latest version of the Global Land Data Assimilation System (GLDAS v2.2), which includes assimilation of groundwater data.
 


Each part of 3 includes links to the recordings, presentation slides, exercises, and Question & Answer Transcripts.
 

Authoring Person(s) Name: 
Amita Mehta
Sean McCartney
Authoring Organization(s) Name: 
NASA Applied Remote Sensing Training Program (ARSET)
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 2.0 Generic - CC BY 2.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Conservation
Environmental management
Flood mapping applications
Freshwater habitat applications
Geographic Information System (GIS)
Land management
Remote sensing
River basin management
Satellite imagery
Sustainable Development Goals (SDGs)
Water quality
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Education: Science and Mathematics Education
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Published / Broadcast: 
Monday, September 21, 2020
Publisher - organization credited with publishing or broadcasting the learning resource: 
NASA Applied Remote Sensing Training Program (ARSET)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contact Person(s): 
Brock Blevins
Contact Organization(s): 
NASA Applied Remote Sensing Training Program (ARSET)
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Citizen scientist
Data manager
Data policymaker
Early-career research scientist
Mid-career research scientist
Research scientist
Technology expert group
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)