Time series sampling can be done from various datasets such as precipitation, temperature, snow water equivalent, etc. This exercise is focused on working precipitation data from the June 2024 event on the west northern section of the United States.

The datasets used in this exercise are read from DSS records with clipping constraints applied to the watershed area.  The datasets include:

Tasks

Part A – Introduction to the Project and Datasets

• Task A.1 – Opening the Project
• Task A.2 – Reviewing the Project Settings
• Task A.3 – Reviewing the MBRFC Datasets

Part B – Ad-Hoc Operations - Time Series

• Task B.1 – Exploring Point and Polygon Time Series Sampling Through the Ad Hoc Operations
• Task B.2 – Comparing Two Observed Precipitation Products
• Task B.3 – Comparing and Animating Two Forecasted Precipitation Products
• Task B.4 – Comparing and Animating a Forecast to Actual Observations

Part C – Mass Processing of Samples

• Task C.1 – Mass Processing of Subbasins
• Task C.2 – Mass Processing of Time Series Point Samples