Download PDF
Download page #058 - Statistical Methods in Hydrology (April 2025).
#058 - Statistical Methods in Hydrology (April 2025)
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 2.3.1 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 4.4.3 or newer for some of the workshops. It is available on the App Portal. Search for "r foundation r for windows" and sort by newest first. If you have any questions, contact Greg Karlovits.
You will need RStudio version 2024.12.1 or newer for some of the workshops. It is available on the App Portal. Search for "Posit 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)
The 2025 class will be taught virtually. All lectures, with the exception of the Introduction to Probability, Statistics, and Distributions lecture, are pre-recorded and available on YouTube. Captions are available for all YouTube lecture videos.
See Statistical Methods in Hydrology (April 2025) Course Material for all class materials.
Instructors
Mike Bartles (Bartles_bio_2025_Prospect.pdf)
Avital Breverman (Introduction video) (Course Coordinator - Breverman_bio_2025_Prospect.pdf)
Beth Faber (Faber_bio_2021.pdf)
Greg Karlovits (Introduction video) (Karlovits_bio_2024_Prospect.pdf)
Melissa Mika (Mika_bio_2025_Prospect.pdf)
Blackboard Learn
| Module | Topic | Instructor(s) | Duration (hr) | Start (Hawaii) | End (Hawaii) | Start (Pacific) | End (Pacific) | Start (Mountain) | End (Mountain) | Start (Central) | End (Central) | Start (Eastern) | End (Eastern) |
| Day 1 (Monday 28 April) Synchronous | |||||||||||||
| Intro/Admin/Pre-course assessment | 1 | 05:00 | 06:00 | 08:00 | 09:00 | 09:00 | 10:00 | 10:00 | 11:00 | 11:00 | 12:00 | ||
| L1 (LIVE) | Introduction to Probability, Statistics, and Distributions | 2.75 | 06:00 | 08:45 | 09:00 | 11:45 | 10:00 | 12:45 | 11:00 | 13:45 | 12:00 | 14:45 | |
| Break | 1 | 08:45 | 09:45 | 11:45 | 12:45 | 12:45 | 13:45 | 13:45 | 14:45 | 14:45 | 15:45 | ||
| W1 | R/RStudio Crash Course | 1 | 09:45 | 10:45 | 12:45 | 13:45 | 13:45 | 14:45 | 14:45 | 15:45 | 15:45 | 16:45 | |
| L2 | Exploratory Data Analysis | 0.75 | 10:45 | 11:30 | 13:45 | 14:30 | 14:45 | 15:30 | 15:45 | 16:30 | 16:45 | 17:30 | |
| Before Day 2 (Asynchronous) | |||||||||||||
| L3 | Parametric Modeling | 1 | |||||||||||
| L4 | Time Series Analysis | 1.33 | |||||||||||
| S1 | Day 1 Survey | ||||||||||||
| Day 2 (Tuesday 29 April) Synchronous | |||||||||||||
| Module | Topic | Instructor(s) | Duration (hr) | Start (Hawaii) | End (Hawaii) | Start (Pacific) | End (Pacific) | Start (Mountain) | End (Mountain) | Start (Central) | End (Central) | Start (Eastern) | End (Eastern) |
| Review | 0.5 | 05:00 | 05:30 | 08:00 | 08:30 | 09:00 | 09:30 | 10:00 | 10:30 | 11:00 | 11:30 | ||
| W2 | Exploratory Data Analysis | 1.25 | 05:30 | 06:45 | 08:30 | 09:45 | 09:30 | 10:45 | 10:30 | 11:45 | 11:30 | 12:45 | |
| L5 | Introduction to HEC-SSP | 1 | 06:45 | 07:45 | 09:45 | 10:45 | 10:45 | 11:45 | 11:45 | 12:45 | 12:45 | 13:45 | |
| Break | 1 | 07:45 | 08:45 | 10:45 | 11:45 | 11:45 | 12:45 | 12:45 | 13:45 | 13:45 | 15:45 | ||
| W3 | Introduction to HEC-SSP | 1.25 | 08:45 | 10:00 | 11:45 | 13:00 | 12:45 | 14:00 | 13:45 | 15:00 | 14:45 | 16:00 | |
| W4 | Parametric Modeling | 1.25 | 10:00 | 11:15 | 13:00 | 14:15 | 14:00 | 15:15 | 15:00 | 16:15 | 16:00 | 17:15 | |
| Before Day 3 (Asynchronous) | |||||||||||||
| L6 | Bulletin 17B, Bulletin 17C, and Expected Moments Algorithm | 1.1 | |||||||||||
| L7 | Monte Carlo Simulation | 1 | |||||||||||
| S2 | Day 2 Survey | ||||||||||||
| Day 3 (Wednesday 30 April) Synchronous | |||||||||||||
| Module | Topic | Instructor(s) | Duration (hr) | Start (Hawaii) | End (Hawaii) | Start (Pacific) | End (Pacific) | Start (Mountain) | End (Mountain) | Start (Central) | End (Central) | Start (Eastern) | End (Eastern) |
| Review | 0.5 | 05:00 | 05:30 | 08:00 | 08:30 | 09:00 | 09:30 | 10:00 | 10:30 | 11:00 | 11:30 | ||
| D1 | Demo: Bulletin 17C Analysis in HEC-SSP | 0.25 | 05:30 | 05:45 | 08:30 | 08:45 | 09:30 | 09:45 | 10:30 | 10:45 | 11:30 | 11:45 | |
| W5 | Bulletin 17C and EMA in HEC-SSP | 0.75 | 05:45 | 06:30 | 08:45 | 09:30 | 09:45 | 10:30 | 10:45 | 11:30 | 11:45 | 12:30 | |
| D2 | Demo: Monte Carlo Simulation | 0.5 | 06:30 | 07:00 | 09:30 | 10:00 | 10:30 | 11:00 | 11:30 | 12:00 | 12:30 | 13:00 | |
| Break | 1 | 07:00 | 08:00 | 10:00 | 11:00 | 11:00 | 12:00 | 12:00 | 13:00 | 13:00 | 14:00 | ||
| L8 | Extreme Value Theory | 1.25 | 08:00 | 09:15 | 11:00 | 12:15 | 12:00 | 13:15 | 13:00 | 14:15 | 14:00 | 15:15 | |
| W6 | Extreme Value Theory | 1.25 | 09:15 | 10:30 | 12:15 | 13:30 | 13:15 | 14:30 | 14:15 | 15:30 | 15:15 | 16:30 | |
| Before Day 4 (Asynchronous) | |||||||||||||
| L9 | Uncertainty in Frequency Estimates | 1.25 | |||||||||||
| L10 | Regional Precipitation Frequency Analysis | 1 | |||||||||||
| S3 | Day 3 Survey | ||||||||||||
| Day 4 (Thursday 01 May) Synchronous | |||||||||||||
| Module | Topic | Instructor(s) | Duration (hr) | Start (Hawaii) | End (Hawaii) | Start (Pacific) | End (Pacific) | Start (Mountain) | End (Mountain) | Start (Central) | End (Central) | Start (Eastern) | End (Eastern) |
| Review | 0.5 | 05:00 | 05:30 | 08:00 | 08:30 | 09:00 | 09:30 | 10:00 | 10:30 | 11:00 | 11:30 | ||
| W7 | Peaks Over Threshold | 1 | 05:30 | 06:30 | 08:30 | 09:30 | 09:30 | 10:30 | 10:30 | 11:30 | 11:30 | 12:30 | |
| W8 | Regional Precipitation Frequency Analysis | 1.25 | 06:30 | 07:45 | 09:30 | 10:45 | 10:30 | 11:45 | 11:30 | 12:45 | 12:30 | 13:45 | |
| L11 | Multivariate Analysis | 0.75 | 07:45 | 08:30 | 10:45 | 11:30 | 11:45 | 12:30 | 12:45 | 13:30 | 13:45 | 14:30 | |
| D3 | Multivariate Analysis | Greg Karlovits | 0.25 | 08:30 | 08:45 | 11:30 | 11:45 | 12:30 | 12:45 | 13:30 | 13:45 | 14:30 | 14:45 |
| Break | 1 | 08:45 | 09:45 | 11:45 | 12:45 | 12:45 | 13:45 | 13:45 | 14:45 | 14:45 | 15:45 | ||
| L12 | Coincident Frequency | 1 | 09:45 | 10:45 | 12:45 | 13:45 | 13:45 | 14:45 | 14:45 | 15:45 | 15:45 | 16:45 | |
| W9 | Coincident Frequency | 1.25 | 10:45 | 12:00 | 13:45 | 15:00 | 14:45 | 16:00 | 15:45 | 17:00 | 16:45 | 18:00 | |
| Before Day 5 (Asynchronous) | |||||||||||||
| L13 | Simple Linear Regression | 1 | |||||||||||
| L14 | Future of Flood Risk Data (FFRD) Application | 0.75 | |||||||||||
| S4 | Day 4 Survey | ||||||||||||
| Day 5 (Friday 02 May) Synchronous | |||||||||||||
| Module | Topic | Instructor(s) | Duration (hr) | Start (Hawaii) | End (Hawaii) | Start (Pacific) | End (Pacific) | Start (Mountain) | End (Mountain) | Start (Central) | End (Central) | Start (Eastern) | End (Eastern) |
| Review | 0.5 | 05:00 | 05:30 | 08:00 | 08:30 | 09:00 | 09:30 | 10:00 | 10:30 | 11:00 | 11:30 | ||
| W10 | Simple Linear Regression | 1.25 | 05:30 | 06:45 | 08:30 | 09:45 | 09:30 | 10:45 | 10:30 | 11:45 | 11:30 | 12:45 | |
| L15 | Multiple Linear Regression | 0.75 | 06:45 | 07:30 | 09:45 | 10:30 | 10:45 | 11:30 | 11:45 | 12:30 | 12:45 | 13:30 | |
| Break | 1 | 07:30 | 08:30 | 10:30 | 11:30 | 11:30 | 12:30 | 12:30 | 13:30 | 13:30 | 14:30 | ||
| W11 | Multiple Linear Regression | 2 | 08:30 | 10:30 | 11:30 | 13:30 | 12:30 | 14:30 | 13:30 | 15:30 | 14:30 | 16:30 | |
| LIVE | Post-course feedback | 0.5 | 10:30 | 11:00 | 13:30 | 14:00 | 14:30 | 15:00 | 15:30 | 16:00 | 16:30 | 17:00 | |
| Day 5 Asynchronous | |||||||||||||
| L16 | CA DWR Division of Safety of Dams (DSOD) Regression Application | 0.75 | |||||||||||
| S5 | Day 5 Survey | ||||||||||||