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Download page Statistical Methods in Hydrology (May 2023).
Statistical Methods in Hydrology (May 2023)
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-beta.5 or newer to open 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 4.2.2 or newer for the workshops. It is available on the App Portal. Search for "cran r". If you have any questions, contact Greg Karlovits.
You will need RStudio version 2023.03.0+386 or newer for the workshops. It is available on the App Portal. Search for "rstudio". If you have any questions, contact Greg Karlovits.
PROSPECT materials page: #58 - Statistical Methods in Hydrology (May 2023)
A zip file containing the data files for each workshop is here: 058 statistical methods COURSE FILES.7z
The links to pre-recorded lectures are provided below. Captions are available for all YouTube lecture videos. However, all lectures will be delivered live in the May 2023 course.
Day 1
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 8:00 | 8:30 | 30 | Admin | Admin | |||
| 8:30 | 11:30 | 180 | Lecture and Workshops L1.1 | Introduction to Probability, Statistics, and Distributions | L1.1 Basic Probability and Statistics 2023.pptx | ||
| W1.1 | Intro workshops | workshop link: | |||||
| 11:30 | 12:30 | 60 | Lunch | ||||
| 12:30 | 1:15 | 45 | Lecture L1.2 | Exploratory Data Analysis | Exploratory Data Analysis Playlist | ||
| 1:15 | 2:30 | 75 | Workshop W1.3 | Exploratory Data Analysis | workshop link: Exploratory Data Analysis using R Supplementary material
| ||
| 2:30 | 2:45 | 15 | Break | ||||
| 2:45 | 3:45 | 60 | Lecture L1.4 | Parametric Modeling | |||
| 3:45 | 5:00 | 75 | Lecture L1.5 | Time Series Analysis | Time Series Analysis Playlist |
Day 2
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 8:00 | 8:15 | 15 | Review | Review of Monday | |||
| 8:15 | 9:15 | 60 | Lecture L2.1 | Introduction to HEC-SSP | |||
| 9:15 | 10:30 | 75 | Workshop W2.2 | Introduction to HEC-SSP | workshop link: | ||
| 10:30 | 10:45 | 15 | Break | ||||
| 10:45 | 11:45 | 60 | Workshop W2.3 | Parametric Modeling | workshop link: | ||
| 11:45 | 12:45 | 60 | Lunch | ||||
| 12:45 | 1:45 | 60 | Parametric Modeling (continued) | ||||
| 1:45 | 2:45 | 60 | Lecture L2.4 | Bulletin 17B, 17C and the Expected Moments Algorithm | Bulletin 17B and 17C Playlist | ||
| 2:45 | 3:00 | 15 | Break | ||||
| 3:00 | 4:30 | 90 | Workshop W 2.5 | Bulletin 17C in HEC-SSP | workshop link: |
Day 3
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 8:00 | 8:15 | 15 | Review | review of Tuesday | |||
| 8:15 | 9:45 | 90 | Lecture and workshop L3.1 | Monte Carlo Analysis | Monte Carlo Simulation Playlist | ||
| Workshop W3.1 | materials link: | ||||||
| 9:45 | 10:00 | 15 | Break | ||||
| 10:00 | 11:15 | 75 | Lecture L3.2 | Uncertainty in Frequency Estimates | Uncertainty in Frequency Estimates Playlist | ||
| 11:15 | 12:15 | 60 | Workshop W3.3 | Uncertainty in Frequency Estimates | workshop link: | ||
| 12:15 | 1:15 | 60 | Lunch | ||||
| 1:15 | 2:30 | 75 | Lecture L3.4 | Extreme Value Theory | Extreme Value Theory Playlist | ||
| 2:30 | 3:45 | 75 | Workshop W3.5 | Extreme Value Theory | workshop link: | ||
| 3:45 | 4:00 | 15 | Break | ||||
| 4:00 | 5:00 | 60 | Lecture L3.6 | Regionalization: Index Flood | Index Flood Regionalization Playlist |
Day 4
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 8:00 | 8:15 | 15 | Review | review of Wednesday | |||
| 8:15 | 9:30 | 75 | Lecture L4.1 | Precipitation Frequency Analysis | Precipitation Frequency Analysis Playlist | ||
| 9:30 | 9:45 | 15 | Break | ||||
| 9:45 | 10:30 | 45 | Lecture L4.2 | Multivariate Analysis | L4.2 Multivariate Analysis upd2023-05-03.pptx Special Interest Topic: Autocovariance and Autocorrelation.pptx | Multivariate Analysis Playlist | |
| 10:30 | 10:45 | 15 | Break | ||||
| 10:45 | 11:45 | 60 | Lecture L4.3 | Coincident Frequency Analysis/Monte Carlo Joint Distribution | Coincident Frequency Playlist | ||
| 11:45 | 12:45 | 60 | Lunch | ||||
| 12:45 | 2:00 | 75 | Workshop W4.4 | Coincident Frequency Analysis/Monte Carlo Joint Distribution | workshop link: | ||
| 2:00 | 3:00 | 60 | Lecture L4.5 | Simple Linear Regression | Linear Regression Playlist | ||
| 3:00 | 3:15 | 15 | Break | ||||
| 3:15 | 4:15 | 60 | Workshop W4.6 | Simple Linear Regression | workshop link: supplementary material: | ||
| 4:15 | 5:00 | 45 | Lecture L4.7 | Applications of Regression - Streamflow Record Extention |
Day 5
| Start | End | Duration (min) | Module | Topic | Instructors | Links to Material | Supplementary Pre-Recorded Lectures |
|---|---|---|---|---|---|---|---|
| 8:00 | 8:15 | 15 | Review | review of Thursday | |||
| 8:15 | 9:00 | 45 | Lecture L5.1 | Multiple Linear Regression | Multiple Linear Regression Playlist | ||
| 9:00 | 11:00 | 120 | Workshop W5.2 | Multiple Linear Regression | workshop link: Multiple Linear Regression Using R supplementary material: | ||
| 11:00 | 11:15 | 15 | Break | ||||
| 11:15 | 12:00 | 45 | Admin | Wrap-up |