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Download page Statistical Methods in Hydrology (Huntington District January 2024).
Statistical Methods in Hydrology (Huntington District January 2024)
This course provides users with theoretical background in statistical analysis as well as practice using analysis techniques and tools required for practical applications. Topics covered include univariate and multivariate frequency analysis, regional analysis of hydrometeorological data, and regression analysis. Knowledge gained within the lectures is applied through the use of the Hydrologic Engineering Center’s Statistical Software Package (HEC-SSP) as well as other commercial software packages in complementary workshops.
You will need HEC-SSP version 2.3 to open some of the workshop files. You can download the software here: https://www.hec.usace.army.mil/software/hec-ssp/download.aspx. If you have any questions, please contact Mike Bartles.
You will need CRAN R version 4.3.1 or newer for some of the workshops. It is available on the App Portal. Search for "cran r" and sort by newest first. If you have any questions, contact Greg Karlovits.
You will need RStudio version 2023.09.1 or newer for some of the workshops. It is available on the App Portal. Search for "rstudio" and sort by newest first. If you have any questions, contact Greg Karlovits.
App Portal installations can take 2 or more days to start so please request these installations prior to the class starting. CIO / G6 Software App Portal (army.mil)
A zip file containing the data files for each workshop is here: Initial_Workshop_Data_202401281928.zip
A zip file containing all the lecture slides and other materials listed on this page is here: Statistics in Hydrology Materials 202401251206.zip
The links to pre-recorded lectures are provided below in case you wish to review them before or after the class. Captions are available for all YouTube lecture videos. However, all lectures will be delivered live in the 2024 course.
Instructors
Avital Breverman (Breverman_bio_2024_Prospect.pdf)
Beth Faber (Faber_bio_2023_Prospect.pdf)
Greg Karlovits (Course Coordinator - Karlovits_bio_2024_Prospect.pdf)
Day 1 - Monday 29 January 2024
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 08:00 | 08:30 | 30 | Admin | ||||
| 08:30 | 11:15 | 150 with 15 minute break | L1.1 | Introduction to Probability, Statistics, and Distributions | L1.1 Basic Probability and Statistics 2024.pptx | ||
| Included in lecture period | W1.2 | Intro workshops | workshop link: | ||||
| 11:15 | 12:15 | 60 | W1.3 | R/RStudio Crash Course | workshop link: | ||
| 12:15 | 13:15 | 60 | Lunch | ||||
| 13:15 | 14:00 | 45 | L1.4 | Exploratory Data Analysis | Exploratory Data Analysis Playlist | ||
| 14:00 | 15:15 | 75 | W1.5 | Exploratory Data Analysis | workshop link: Exploratory Data Analysis using R Supplementary material
| ||
| 15:15 | 15:30 | 15 | Break | ||||
| 15:30 | 16:30 | 60 | L1.6 | Introduction to HEC-SSP | |||
| 16:30 | 17:00 | 30 (begin workshop) | W1.7 | Introduction to HEC-SSP | workshop link: |
Day 2 - Tuesday 30 January 2024
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 08:00 | 09:00 | 60 (finish workshop) | W1.7 | Introduction to HEC-SSP | |||
| 09:00 | 09:15 | 15 | Review of Monday | ||||
| 09:15 | 10:15 | 60 | L2.1 | Parametric Modeling | |||
| 10:15 | 10:30 | 15 | Break | ||||
| 10:30 | 11:45 | 75 | W2.2 | Parametric Modeling | workshop link: | ||
| 11:45 | 12:45 | 60 | Lunch | ||||
| 12:45 | 14:00 | 75 | L2.3 | Time Series Analysis | Time Series Analysis Playlist | ||
| 14:00 | 14:15 | 15 | Break | ||||
| 14:15 | 15:30 | 75 | L2.4 | Bulletin 17B, 17C and the Expected Moments Algorithm | Bulletin 17B and 17C Playlist | ||
| 15:30 | 17:00 | 90 | W2.5 | Bulletin 17C in HEC-SSP | workshop link: |
Day 3 - Wednesday 31 January 2024
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 08:00 | 08:15 | 15 | review of Tuesday | ||||
| 08:15 | 09:45 | 90 | L3.1 | Monte Carlo Analysis | Monte Carlo Simulation Playlist | ||
| Included in lecture period | W3.2 | materials link: | |||||
| 09:45 | 10:00 | 15 | Break | ||||
| 10:00 | 11:15 | 75 | L3.3 | Uncertainty in Frequency Estimates | Uncertainty in Frequency Estimates Playlist | ||
| 11:15 | 12:15 | 60 | W3.4 | Uncertainty in Frequency Estimates | workshop link: | ||
| 12:15 | 13:15 | 60 | Lunch | ||||
| 13:15 | 14:30 | 75 | L3.5 | Extreme Value Theory | Extreme Value Theory Playlist | ||
| 14:30 | 15:45 | 75 | W3.6 | Extreme Value Theory | workshop link: | ||
| 15:45 | 16:00 | 15 | Break | ||||
| 16:00 | 17:00 | 60 | L3.7 | Regionalization: Index Flood | Index Flood Regionalization Playlist |
Day 4 - Thursday 01 February 2024
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 08:00 | 08:15 | 15 | review of Wednesday | ||||
| 08:15 | 09:30 | 75 | L4.1 | Precipitation Frequency Analysis | Precipitation Frequency Analysis Playlist | ||
| 09:30 | 09:45 | 15 | Break | ||||
| 09:45 | 10:30 | 45 | L4.2 | Multivariate Analysis | L4.2 Multivariate Analysis 2024.pptx Special Interest Topic: Autocovariance and Autocorrelation.pptx | Multivariate Analysis Playlist | |
| 10:30 | 10:45 | 15 | Break | ||||
| 10:45 | 11:45 | 60 | L4.3 | Coincident Frequency Analysis/Monte Carlo Joint Distribution | Coincident Frequency Playlist | ||
| 11:45 | 12:45 | 60 | Lunch | ||||
| 12:45 | 14:00 | 75 | W4.4 | Coincident Frequency Analysis/Monte Carlo Joint Distribution | workshop link: | ||
| 14:00 | 15:00 | 60 | L4.5 | Simple Linear Regression | Linear Regression Playlist | ||
| 15:00 | 15:15 | 15 | |||||
| 15:15 | 16:30 | 75 | W4.6 | Simple Linear Regression | workshop link: supplementary material: |
Day 5 - Friday 02 February 2024
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 08:00 | 08:15 | 15 | review of Thursday Happy Groundhog Day! | ||||
| 08:15 | 09:00 | 45 | L5.1 | Applications of Regression - Streamflow Record Extension | |||
| 09:00 | 09:45 | 45 | L5.2 | Multiple Linear Regression | Multiple Linear Regression Playlist | ||
| 09:45 | 11:45 | 120 | W5.3 | Multiple Linear Regression | workshop link: Multiple Linear Regression Using R supplementary material: | ||
| 11:45 | 12:00 | 15 | Close-Out |