Forecasting River Discharge and Runoff with a Python-based Statistical Machine Learning Tool
Adnan Rajib, The University of Texas at Arlington
In the face of an uncertain climate and increasing extreme weather events, it is challenging to predict river discharge and surface runoff. Efficient forecasting helps all aspects of watershed management, including ...

Automatic Identification and Mapping of Global Floodplains in A Web Browser
Adnan Rajib, The University of Texas at Arlington
Floods have become more frequent worldwide throughout the years as human influence and climate change have increasingly altered the environment1,2. With increasing awareness against flood hazards, there has been a ...

Autocorrelation
Jasmine Gregory, North Carolina State University
Correlation analysis is a standard tool used to understand how two variables change relative to one another. Autocorrelation is a form of correlation analysis can be used to understand how elements within the same ...

Assess Climate Change Trends Anywhere in the World Using a Web-based Python Tool
Adnan Rajib, The University of Texas at Arlington
The world's climate is changing rapidly. Future projections suggest frequent large storms and prolonged dry spells, increasing human exposures to flooding and drought1. With the recent advances in weather and ...

Stationary and nonstationary behavior
Jasmine Gregory, North Carolina State University
Stationarity and nonstationarity are terms you may have encountered previously if you've taken water or climate related courses and are important for understanding changes in the Earth System. But what do ...

How Pennsylvania Disposes of Brines Safely
Tao Wen, Syracuse University
We will explore the PA Oil and Gas Mapping tool in this portion of the exercise. For this module, you will learn how to query data, use basic functions and extract data. You will also be shown how to specifically ...

Downloading NCDC Climate Data from Internet into a Text File
Tutorial page detailing step-by-step instructions for downloading NCDC climate data (precipitation and temperature) via the GIS portal, using a station in Indiana as an example, and saving it as a text file for hydrological analysis. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Creating a Time Series Plot in Excel
Tutorial page demonstrating how to create a time-series plot in Microsoft Excel using USGS streamflow data, covering data selection, scatter plot generation with smooth lines, and formatting axes, titles, and legends for professional visualization. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Introduction to Flood Frequency Analysis
Siddharth Saksena, Purdue University-Main Campus
The objective of this step is to familiarize students with the concept of flood frequency analysis. After reading the information provided in this step, the students will be able to understand the importance of ...

Plotting the Flood Frequency Curve using Gumbel Distribution
Siddharth Saksena, Purdue University-Main Campus
The objective of this step is to make the students familiar with the concept of flood frequency analysis. This step assumes that the user already has information on the peak streamflow data for a USGS gauge ...

Downloading Annual Peak Streamflow Data from USGS
Siddharth Saksena, Purdue University-Main Campus
This step demonstrates how to download the United States Geological Survey's (USGS) annual peak streamflow data recorded at a USGS gauging station in the United States. In this step, the students will use the ...

Data Management
Natalie Nelson, University of Florida
Students will organize data in a format that allows for data manipulation and analysis using a programming language, such as Python or R.

Visualization of rainfall-runoff time series data
Tianfang Xu, University of Illinois at Urbana-Champaign
In this step, students will perform basic time series plotting using tools of choice, such as Excel, MATLAB or R.

Constructing a data-driven rainfall-runoff model
Tianfang Xu, University of Illinois at Urbana-Champaign
In this step, students will be instructed to execute the provided sample MATLAB codes ddm.m. Next, students will learn to evaluate the performance of constructed rainfall-runoff models.

Autocorrelation analysis of rainfall-runoff data
Tianfang Xu, University of Illinois at Urbana-Champaign
The goal of this unit is to build a model to simulate stream discharge. In this step, we will explore what are important factors that affect discharge.

Calculate the amount of new event water in the stream at each time point using isotope and discharge data
Anne Jefferson, Kent State University-Main Campus
Using the products of previous steps, you will use a two end-member mixing model to separate the hydrograph of the West Branch of the Mahoning River for the event that occurred April 3-6, 2014.

Explore the data by creating graphs of discharge and water isotopes
Anne Jefferson, Kent State University-Main Campus
Using data downloaded from Hydroclient, you will create graphs that show discharge in the West Branch of the Mahoning River at Jenning's Woods, precipitation, and isotopes. The step-by-step instructions are ...

Identify appropriate endmember compositions for hydrograph separation
Anne Jefferson, Kent State University-Main Campus
Using data downloaded from Hydroclient and graphs made in the previous step, you will make decisions about the appropriate new water and old water endmembers for separating the hydrograph of the event that occurred ...

Investigating Centre County, Black Moshannon Lake for Potential Methane Sources
Liza Brazil, Consortium of Universities for the Advancement of Hydrologic Science, Inc; Clara Cogswell
Students will use HydroClient to discover, view, and download methane data collected by the Shale Network. To further investigate the area, Students will use PA DEP Oil and Gas Mapping tool to locate nearby wells. ...

Create a graph of turbidity and precipitation and answer data analysis questions
Sharon Dykhoff, Washington D.C. Metro Area - ‎Science Teacher at Dominion Christian School - ‎Dominion Christian School, Susan Brantley, The Pennsylvania State University
Students will graph turbidity and precipitation in Larry's Creek Watershed and identify an area in the graph where turbidity is not caused by rain and is most likely cause by a nearby natural gas drilling leak.