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Dear Friends & Colleagues,
Sunny spring weather is right around the corner, and CUAHSI is here to brighten your day with this month's news!
In this edition, you can expect to learn more about CUAHSI's Spring Cyberseminar Series, this year's Conference on Hydroinformatics including the calls for session proposals and abstracts, HydroShare updates, and more!
Don't forget to check out our training and workshop schedule. We still have spots open for some, and you don't want to miss out! We are also announcing the deadline for CUAHSI's Instrumentation Discovery Travel Grant! Keep reading to find out more.
Lastly, CUAHSI had some international visitors this week! Read more about their endeavors below.
Thanks!
Ainsley
Dear Friends of Water Science:
CUAHSI had some visitors this week. We were pleased to host guests from Vietnam in our offices on March 11 – 13. Guests included:
- Dung Kieu Tuan, Lecturer in Computer Science and Engineering from Thuyloi University. Thuyloi University focuses on all aspects of water resources, and has four campuses, including the main campus in Hanoi;
- Tung Nguyen Thanh, Dean of Computer Science and Engineering, Thuyloi University;
- Chi Ngoc Le, Machine Learning and Graph Theory Team leader, School of Applied Mathematics and Informatics, Hanoi University of Science and Technology; and
- Tho Nguyen, Senior Scientist at University of Virginia.
The group focused on potential applications of CUAHSI’s water data services, especially HydroShare, for data management in the Mekong River basin through the Lower Mekong Initiative. Miguel Leon, University of Pennsylvania, also participated in part of the meeting to discuss the ODM2-Admin package as a solution for sensor data management that links to HydroShare. In early April, I will be speaking at a State Department bi-lateral workshop on data management solutions in the Mekong River basin, and I will travel to Laos in May to work with the U.S. embassy and the Mekong River Commission to encourage water data sharing in the region. We are pleased to be able to work with multiple partners on water data collection and management in this important region.
I also participated in an International Association of Hydrological Sciences conference on Measurements and Observations in the 21 st century ( MOXXI), co-hosted by CUAHSI. About 90 percent of the participants were from outside the U.S., and it was fascinating to learn about the innovative solutions being developed. Many groups are developing their own inexpensive, specialized sensors using off-the-shelf materials. In addition, at one level of sophistication, an app for measuring stream discharge using an Android-powered smartphone was demonstrated, but there also were discussions about engaging citizen scientists in water data collection.
These engagements are helping CUAHSI to expand the hydrologic sciences community and bringing CUAHSI tools to new users.
All the best,
Jerad |
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Call for Session Proposals & Abstracts - CUAHSI's 2019 Conference on Hydroinformatics
CUAHSI invites you to participate in the 5th CUAHSI conference on Hydroinformatics, "Hydroinformatics for scientific knowledge, informed policy, and effective responses" July 29 through 31 at Brigham Young University in Provo, UT.
The CUAHSI Conference on Hydroinformatics is uniquely focused on data science and technology for water resources and hydrology. This conference will include keynote speakers and oral, poster, and hands-on sessions. Start planning now to be a part of this important meeting.
Potential topics include: Advances in cyberinfrastructure for hydrologic modeling, Applied hydroinformatics, and Big Data Management.
If you are interested in submitting a session proposal, please be sure to do so by March 15, 2019! Submit a session proposal here.
Researchers and students are invited to submit abstracts for talks (20 min) or poster presentations. If you are interested, please do so here by April 19, 2019.
Please note that a limited amount of travel support is available to students who present talks or posters. More information on CUAHSI's Conference on Hydroinformatics can be found here.
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CUAHSI's 2019 Spring Cyberseminar Series
CUAHSI-H3S 2019 Spring Cyberseminar Series
Early Career scientists conquer new frontiers: an H3S conversation
For the month of April, H3S, AGU's Hydrology Section Student Subcommittee, will be taking over CUAHSI's Cyberseminar series. Each of the four seminars will showcase talks by four early career scientists studying some of the most pressing issues around hydrology and beyond, including 1) Coastal Dynamics in a Changing World 2) Rivers and Lakes under Changing Climates, 3) Water Resources and Management, 4) Water Pollution and Quality.
All talks will take place on Thursdays at 1:00 p.m. ET
Dates, Speakers, and Topics:
- April 4, 2019: Coastal Dynamics in a Changing World | Kyra Kim, University of Delaware; Deon Knights, Ohio State University; Jaiqi Liu, University of Tokyo; Heidi Roop, University of Washington
- April 11, 2019: Rivers and Lakes Under a Changing Climate | Lauren Somers, McGill University; Claire Beveridge, University of Washington; Fateme Ghader, Technische Universität Berlin; Katherine Markovich, University of Arizona
- April 18, 2019: Water Resources and Management | Azad Heydari, Michigan Technological University; Harsh Beria, Université de Lausanne; Elmira Hassanzade, Polytechnique Montréal; Erfan Goharian, University of South Carolina
- April 25, 2019: Water Pollution and Quality | Chelsea Peters, Vanderbilt University; Charlie Rolsky, Arizona State University; Kimberly Van Meter, University of Illinois-Chicago; Hossein Tavakoli, Michigan Technological University
Registration is free! To register for this series, click here.
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Recent Advances in Big Data Machine Learning in Hydrology
Hosted by Choapeng Shen of Pennsylvania State University, CUAHSI presents the second 2019 Spring Cyberseminar Series, Recent Advances in Big Data Machine Learning in Hydrology!
Recently big data machine learning has led to substantial changes across many areas of study. In Hydrology, the introduction of big data and machine learning methods have substantially improved our ability to address existing challenges and encouraged novel perspectives and new applications. These advances present new opportunities methods that aid scientific discovery, data discovery, and predictive modeling.
This series covers new techniques and findings that have emerged in Hydrology during the previous year, with a focus on catchment and land surface hydrology.
All talks take place on Fridays at 1:00 p.m. ET
Dates, Speakers, and Topics:
- March 29, 2019: Machine Learning & Information Theory for Land Model Benchmarking & Process Diagnostics | Grey Nearing, University of Alabama
- April 5, 2019: Long Short-Term Memory (LSTM) networks for rainfall-runoff modeling | Frederik Kratzert, Johannes Kepler University
- April 12, 2019: Use deep convolutional neural nets to learn patterns of mismatch between a land surface model and GRACE satellite | Alex Sun, University of Texas at Austin
- April 19, 2019: Long-term projections of soil moisture using deep learning and SMAP data with aleatoric and epistemic uncertainty estimates | Chaopeng Shen, Pennsylvania State University
- April 26, 2019: Exploring deep neural networks to retrieve rain and snow in high latitudes using multi-sensor and reanalysis data | Guoqiang Tang, Tsinghua University
- May 3, 2019: TBD | TBD
- May 10, 2019: Remote sensing precipitation using artificial neural networks and machine learning methods | Kuolin Hsu, University of California, Irvine
Registration is free! To register, click here.
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CUAHSI's Data Down-low
Delaware River Watershed Initiative
Check out data from the Delaware River Watershed Initiative on HydroClient!
The Delaware River Watershed Initiative is an ambitious effort underway to protect and restore the Delaware River Basin’s water quality and overall ecological health. Kick-started by a $35 million commitment by the William Penn Foundation, the Delaware River Watershed Initiative (DRWI) is targeting eight “clusters” within the basin for conservation investment. More than 50 leading nonprofits have joined together, aligning priorities for land protection and restoration projects and assessing water quality impacts using standardized methods. Clusters were delineated using landscape variables including land use, conservation easements, and land trust areas in addition to input from local nonprofits. Monitoring sites in each cluster were chosen based on how representative of the cluster’s landscape they were. These sites represent the “typical” conditions of each cluster. The diversity of the landscape in each cluster influenced the number of sites, and they represent a range of watershed sizes (9-313 km2). Monitoring for the DRWI began in 2013 and will continue through at least 2020. Chemical, algae, fish, and macroinvertebrate data are collected at each of the sites. To learn more about the Delaware River Watershed.
Find this data on HydroClient by following these steps:
1. Enter location: Delaware River, United States
2. Narrow down Data Service: Delaware River Watershed Initiative (hint: click on the row to highlight it)
HydroShare News
Execute your HydroShare workflows using the CUAHSI-JupyterHub!
The CUAHSI-JupyterHub is a compute environment for working with HydroShare data, e.g. data analysis, executing model simulations, and building Jupyter workflows in Python or R. Navigate to your favorite HydroShare resource (or click the link below), select “Open With -> CUAHSI JupyterHub” and your data will be moved into an isolated compute environment specifically designed for you. This environment comes preconfigured with many scientific libraries and is ideal for sharing and research workflows and results, classroom exercises, and reproducing published results.
Questions? Contact help@cuahsi.org
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What's Going on at CUAHSI?
Submit a Proposal for CUAHSI's Instrumentation Discovery Travel Grant!
CUAHSI is pleased to announce the addition of a Hydrologic Instrumentation Facilities page to the website. This page contains information about observatories and facilities available to the community for training and conducting hydrologic research. It may also be especially useful to our Instrumentation Discovery Travel Grant (IDTG) applicants who want to learn the details of hydrologic instrument installation, operation, maintenance, and data processing by visiting experts or scheduling reverse site visits. In 2019, CUAHSI will offer only one proposal deadline for the IDTG program, April 19, which is a change from previous years when there was both a Spring and Fall deadline. If you are a graduate student or early career researcher, we hope you will consider submitting a proposal this Spring!
To submit a proposal, click here.
Training Workshops and Short Courses
Master Class: Food, Energy, and Water Systems in a Global Economy
When: May 13 - 16, 2019
Where: Northern Arizona University, Flagstaff Arizona
Registration Deadlines: March 15 (early bird) March 31 (regular)
This CUAHSI Master Class is intended for graduate students in Hydrology and Water Resources science and engineering programs requiring focused training on modern research methods in water footprinting and environmental impact accounting in a regional and global network-economy context.
More info can be found here.
Short Course: Integrated Simulation of Watershed Systems Using ParFlow
When: May 29 -31, 2019
Where: Colorado School of Mines, Golden, CO
Registration Deadlines: March 15 (early bird) March 31 (regular)
This class trains students in aspects of integrated hydrologic modeling using ParFlow. The course is problem based, focusing all modules and exercises on simulation of a single well-studied, research watershed. Students will gain familiarity in the processes simulated with this platform, gain understanding the disparate input and output datasets and gain understanding and familiarity of Linux commands, high performance computing, visualization and hydrologic analysis.
More info can be found here.
Workshop: DIY Water Monitoring, Date Portals, and Watershed Modeling
When: September 10 -12, 2019
Where: Stroud Water Research Center, Avondale, PA
Registration Deadlines: June 5 (early bird) June 30 (regular)
Participants will build and deploy microcontrollers, sensors, and actuators and many commonly asked questions, troubleshooting steps, and diagnostic procedures will be covered in this hands-on curriculum. The sensor data collected by participants will be immediately available online, thereby enabling a hands-on tutorial on data portals and visualization. Finally, participants will be introduced to a variety of online data management software and hydrologic modeling programs.
More info can be found here.
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Graduate Programs in Water Science
Do you have a graduate program in water science you would like featured on the CUAHSI website? If so, take a few minutes and fill out this Google form to get the word out about your program!
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Have you cited CUAHSI in your Research?
If you have cited CUAHSI in your work, let us know! We love hearing about CUAHSI's programs and services being utilized in the community. Take a few minutes and fill out this Google form to show off your research!
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Meet the CUAHSI Community
This is the next installment of our series as we shine the spotlight on a member of the CUAHSI community.
[Know a CUAHSI member that deserves to be highlighted? Contact commgr@cuahsi.org with a nomination!]
This month’s Meet the CUAHSI Community introduces you to Margaret Zimmer. Margaret is an avid HydroShare user, and an assistant Professor in the Fresh Water Earth and Planetary Sciences Department at the University of California, Santa Cruz.
What are your research interests?
The central research goal of my lab is to understand how and why precipitation inputs are partitioned into watershed outputs, namely streamflow, deep aquifer recharge, and evapotranspiration. We are further interested in the biogeochemical implications as well as how humans influence this hydrologic partitioning.
How has HydroShare impacted your research?
CUAHSI’s HydroShare is a unique community resource that allows for the storage, sharing, and discovery of hydrologic datasets, code, and other resources. Not only does HydroShare allow members of my lab the opportunity to safely store and share our results, but it allows us to identify data and other studies that are complimentary to our research. HydroShare has provided a bridge between our efforts and our community’s work, which undoubtedly strengthens the research products and results we produce.
Why should others use HydroShare?
The long term success of CUAHSI’s HydroShare is contingent on our community’s use of this resource. HydroShare provides an incredible and unprecedented resource to our community and is arguably underutilized. HydroShare is also versatile and can serve several purposes, depending on the needs of the user, thus I encourage researchers to explore its capabilities!
How would you describe CUAHSI?
CUAHSI serves several roles to me and my lab and thus can be described in many ways. CUAHSI provides our community with workshops, conferences, tools, and databases that ensures the transfer of knowledge to anyone interested. CUAHSI also serves as a community hub and provides opportunities for networking and sharing of ideas. Finally, CUAHSI serves as a support system – I personally have approached CUAHSI’s staff via email or in person about problems I am having in my research and have received invaluable and unprecedented support. This is a unique and important aspect of CUAHSI, especially for early career researchers.
What has been your proudest professional accomplishment to date?
As an assistant professor, I have the opportunity to mentor students as they grow as scientists. I have found pride in watching the development of the undergraduate and graduate researchers in my lab and I have felt a great sense of professional accomplishment as my students succeed in their individual endeavors.
What are some of your favorite hobbies outside of work?
While I greatly enjoy exploring the coasts, mountains, and redwood forests of Santa Cruz (where I live), I absolutely love to garden, read, and relax in my own backyard.
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