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 ...

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 ...

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 ...

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 ...

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.

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.

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 ...

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.

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. ...

Detection of Land Use Change in Floodplains Using Web-based Python Programming
Qianjin Zheng1, Adnan Rajib1, Corando Gallegos2, Kurtis Kuypers2, and Tamara Guillen2 1The H2I (Hydrology & Hydroinformatics Innovation) Lab, Department of Civil Engineering, University of Texas at Arlington 2Department of Environmental Engineering, Texas A & M University, Kingsville This tutorial was developed through a classroom cybertraining experiment at the Texas A & M University, Kingsville. A team of seven graduate students developed this tutorial during their participation in EVEN6340: Decision Sciences For Environmental Systems⎼ a graduate level course. The course was offered by Dr. Adnan Rajib in Fall 2020. Contact: adnan.rajib@uta.edu
Human interventions are increasingly altering the world's floodplains. With the advances in remotely sensed earth observations and geoinformatics, we are now able to assess floodplain alterations by estimating ...

Downloading Discharge and Precipitation Data from HydroClient and Interpreting it with Graphs in Excel
Liza Brazil, Consortium of Universities for the Advancement of Hydrologic Science, Inc
The following step demonstrates how to use the HydroClient web interface to get time series data for discharge and precipitation from multiple data sources located near Lake Tahoe, CA during 2012. The procedure to ...

Calculating the Total Annual Precipitation
Nikhil Sangwan, Purdue University-Main Campus
The objective of this step is to calculate the total annual depth of precipitation from a given precipitation time series . We have used the 15 minutes interval historical precipitation data, recorded at the ...

Calculating the Total Annual Depth of Streamflow
Nikhil Sangwan, Purdue University-Main Campus
The objective of this step is to calculate the total annual depth of streamflow from a given streamflow time series . We have used the historical instantaneous streamflow data of the Hall Creek in Indiana (USGS ...