Documentation fixes for examples

CITATION.cff

@@ -36,6 +36,10 @@ authors:
     given-names: "Brian"
     affiliation: "Fariborz Maseeh Department of Mathematics and Statistics, Portland State University, Portland, Oregon, USA"
     orcid: "https://orcid.org/0000-0002-2164-0301"
+  - family-names: "Niblett"
+    given-names: "Sadie"
+    affiliation: "U.S. Army Corps of Engineers, Risk Management Center, Lakewood, Colorado, USA"
+    orcid: ""https://orcid.org/0009-0008-8588-4816""
 contact:
   - family-names: "Smith"
     given-names: "C. Haden"

examples/1-time-series-data/1-usgs-download/usgs-download-example.md

@@ -52,19 +52,22 @@ This project contains 8 time series elements from 4 USGS gaging stations:
 4. The Project Explorer will show 8 elements under **Time Series Data**
 
 ![RMC-BestFit Project Explorer showing all 8 USGS time series elements](../images/usgs-project-explorer.png)
+
 *Figure 1: Project Explorer with all USGS time series elements*
 
 ### Exploring Daily Discharge (Moose River)
 
 1. Click **USGS - 01134500 - Daily Discharge** in the Project Explorer
-2. The **Time Series** tab displays the full daily hydrograph
-3. Click the **Seasonality** tab to see the annual cycle of streamflow -- note the spring snowmelt peak typical of New England rivers
-4. Click the **ACF** and **PACF** tabs to view the autocorrelation structure of daily flows
+2. The **Time Series** tab on the left displays the full daily hydrograph
+3. Click the **Seasonality** tab on the left to see the annual cycle of streamflow -- note the spring snowmelt peak typical of New England rivers
+4. Click the **ACF** and **PACF** tabs on the left to view the autocorrelation structure of daily flows
 
 ![Time series plot showing daily discharge for Moose River at Victory, VT](../images/usgs-daily-discharge-ts-plot.png)
+
 *Figure 2: Daily discharge hydrograph for Moose River at Victory, VT (USGS 01134500)*
 
 ![Seasonality plot for Moose River daily discharge showing spring snowmelt peak](../images/usgs-daily-discharge-seasonality.png)
+
 *Figure 3: Seasonality plot for Moose River*
 
 ### Exploring Instantaneous Data (Potomac River)
@@ -75,6 +78,7 @@ This project contains 8 time series elements from 4 USGS gaging stations:
 4. Zoom in on individual flood events to see the high-resolution hydrograph shape
 
 ![Time series plot showing instantaneous discharge for Potomac River](../images/usgs-instantaneous-discharge-ts-plot.png)
+
 *Figure 4: Instantaneous discharge for Potomac River near Washington, DC (USGS 01646500)*
 
 ### Exploring Peak Data (Back Creek)
@@ -85,6 +89,7 @@ This project contains 8 time series elements from 4 USGS gaging stations:
 4. Click **USGS - 01614000 - Peak Stage** to see the corresponding annual peak gage heights
 
 ![Time series plot showing annual peak discharge for Back Creek near Jones Springs, WV](../images/usgs-peak-discharge-ts-plot.png)
+
 *Figure 5: Annual peak discharge for Back Creek near Jones Springs, WV (USGS 01614000)*
 
 ### Exploring Measured Data (Susquehanna River)
@@ -94,6 +99,7 @@ This project contains 8 time series elements from 4 USGS gaging stations:
 3. Measured discharge and stage pairs are commonly used for rating curve development
 
 ![Time series plot showing individual field measurements for Susquehanna River](../images/usgs-measured-discharge-ts-plot.png)
+
 *Figure 6: Field-measured discharge for Susquehanna River at Harrisburg, PA (USGS 01570500)*
 
 ### Viewing the Properties Panel
@@ -106,14 +112,15 @@ This project contains 8 time series elements from 4 USGS gaging stations:
    - **Download** button to refresh the data from USGS NWIS
 
 ![Properties panel showing USGS site number, data type dropdown, and Download button](../images/usgs-properties-panel.png)
+
 *Figure 7: Properties panel for a USGS time series element*
 
 ### Downloading Your Own USGS Data
 
 To create a new USGS time series element from scratch:
 
-1. Right-click **Time Series Data** in the Project Explorer and select **Create New**
-2. In the Properties panel, set **Entry Method** to **USGS**
+1. Right-click **Time Series Data** in the Project Explorer and select **New Time Series**
+2. After naming the time series, in the Properties panel, set **Entry Method** to **USGS**
 3. Enter a valid **USGS Site Number** (8-15 digits). You can look up site numbers at https://waterdata.usgs.gov
 4. Select the desired **Data Type** from the dropdown
 5. Click **Download**

examples/1-time-series-data/2-ghcn-download/ghcn-download-example.md

@@ -54,19 +54,22 @@ This project contains 2 time series elements from cooperative observer stations
 4. The Project Explorer will show 2 elements under **Time Series Data**
 
 ![RMC-BestFit Project Explorer showing the 2 GHCN time series elements](../images/ghcn-project-explorer.png)
+
 *Figure 1: Project Explorer with GHCN time series elements*
 
 ### Exploring Daily Precipitation (Big Bear Lake)
 
 1. Click **GHCN - USC00040741 - Daily Precipitation** in the Project Explorer
-2. The **Time Series** tab displays the daily precipitation record
+2. The **Time Series** tab on the left displays the daily precipitation record
 3. Notice the episodic nature of precipitation -- many zero values with occasional storms
-4. Click the **Seasonality** tab to see the wet season (winter) and dry season (summer) pattern typical of California's Mediterranean climate
+4. Click the **Seasonality** tab on the left to see the wet season (winter) and dry season (summer) pattern typical of California's Mediterranean climate
 
 ![Time series plot showing daily precipitation for Big Bear Lake, CA](../images/ghcn-precipitation-ts-plot.png)
+
 *Figure 2: Daily precipitation for Big Bear Lake, CA (GHCN USC00040741)*
 
-![Seasonality plot for Big Bear Lake precipitation showing winter wet season](../images/ghcn-precipitation-seasonality.png)
+![Seasonality plot for Big Bear Lake precipitation showing winter wet season](../images/ghcn-precipitation-seasonality-plot.png)
+
 *Figure 3: Seasonality plot -- California's Mediterranean climate with winter-dominant precipitation*
 
 ### Exploring Daily Snowfall (Paradise)
@@ -77,6 +80,7 @@ This project contains 2 time series elements from cooperative observer stations
 4. The **Seasonality** tab clearly shows the November-March snow season
 
 ![Time series plot showing daily snowfall for Paradise, CA](../images/ghcn-snow-ts-plot.png)
+
 *Figure 4: Daily snowfall for Paradise, CA (GHCN USC00046685)*
 
 ### Viewing the Properties Panel
@@ -90,14 +94,15 @@ This project contains 2 time series elements from cooperative observer stations
    - **Download** button to refresh the data
 
 ![Properties panel showing GHCN site number, data type, depth unit, and Download button](../images/ghcn-properties-panel.png)
+
 *Figure 5: Properties panel for a GHCN time series element*
 
 ### Downloading Your Own GHCN Data
 
 To create a new GHCN time series element:
 
-1. Right-click **Time Series Data** in the Project Explorer and select **Create New**
-2. In the Properties panel, set **Entry Method** to **GHCN**
+1. Right-click **Time Series Data** in the Project Explorer and select **New Time Series**
+2. After naming the time series, in the Properties panel, set **Entry Method** to **GHCN**
 3. Enter a valid **GHCN Station ID** (11 characters, e.g., `USC00040741`)
 4. Select the **Data Type** (Daily Precipitation or Daily Snow)
 5. Select the **Depth Unit** (Inches, Millimeters, or Centimeters)

examples/1-time-series-data/3-chmn-download/chmn-download-example.md

@@ -61,20 +61,23 @@ This project contains 6 time series elements, all from the same station:
 4. The Project Explorer will show 6 elements under **Time Series Data**
 
 ![RMC-BestFit Project Explorer showing all 6 CHMN time series elements for station 08MG005](../images/chmn-project-explorer.png)
+
 *Figure 1: Project Explorer with all CHMN time series elements*
 
 ### Exploring Daily Discharge
 
 1. Click **CHMN - 08MG005 - Daily Discharge** in the Project Explorer
-2. The **Time Series** tab displays the daily streamflow record beginning in 1914
+2. The **Time Series** tab on the left displays the daily streamflow record beginning in 1914
 3. Notice the strong seasonal pattern: low winter baseflow and high summer flows from snowmelt and glacial melt
-4. Click the **Seasonality** tab to see the annual flow cycle peaking in June-July
-5. The **ACF** tab shows strong serial correlation typical of daily streamflow
+4. Click the **Seasonality** on the left tab to see the annual flow cycle peaking in June-July
+5. The **ACF** tab on the left shows strong serial correlation typical of daily streamflow
 
 ![Time series plot showing daily discharge for Lillooet River](../images/chmn-daily-discharge-ts-plot.png)
+
 *Figure 2: Daily discharge for Lillooet River near Pemberton, BC (CHMN 08MG005)*
 
 ![Seasonality plot for Lillooet River showing summer snowmelt/glacial melt peak](../images/chmn-daily-discharge-seasonality.png)
+
 *Figure 3: Seasonality plot -- glacial-fed river with June-July peak typical of Coast Mountain catchments*
 
 ### Exploring Peak Discharge
@@ -84,6 +87,7 @@ This project contains 6 time series elements, all from the same station:
 3. Peak data is the most commonly used input for flood frequency analysis and can be used directly in a Univariate Analysis element without extracting annual maxima from daily data
 
 ![Time series plot showing annual peak discharge values for Lillooet River](../images/chmn-peak-discharge-ts-plot.png)
+
 *Figure 4: Annual peak discharge for Lillooet River (CHMN 08MG005)*
 
 ### Exploring Instantaneous Data
@@ -94,6 +98,7 @@ This project contains 6 time series elements, all from the same station:
 4. Note: instantaneous data from WSC is typically limited to the recent real-time period
 
 ![Time series plot showing 5-minute instantaneous discharge for Lillooet River](../images/chmn-instantaneous-discharge-ts-plot.png)
+
 *Figure 5: Instantaneous (5-minute) discharge for Lillooet River (CHMN 08MG005)*
 
 ### Viewing the Properties Panel
@@ -106,14 +111,15 @@ This project contains 6 time series elements, all from the same station:
    - **Download** button to refresh the data
 
 ![Properties panel showing CHMN site number, data type dropdown, and Download button](../images/chmn-properties-panel.png)
+
 *Figure 6: Properties panel for a CHMN time series element*
 
 ### Downloading Your Own CHMN Data
 
 To create a new CHMN time series element:
 
-1. Right-click **Time Series Data** in the Project Explorer and select **Create New**
-2. In the Properties panel, set **Entry Method** to **CHMN**
+1. Right-click **Time Series Data** in the Project Explorer and select **New Time Series**
+2. After naming the time series, in the Properties panel, set **Entry Method** to **CHMN**
 3. Enter a valid **CHMN Station ID** (7 characters, e.g., `08MG005`)
 4. Select the desired **Data Type** from the dropdown
 5. Click **Download**

examples/1-time-series-data/4-abom-download/abom-download-example.md

@@ -60,16 +60,18 @@ Some daily series from BOM may contain missing data (NaN values). This is common
 4. The Project Explorer will show 6 elements under **Time Series Data**
 
 ![RMC-BestFit Project Explorer showing all 6 ABOM time series elements](../images/abom-project-explorer.png)
+
 *Figure 1: Project Explorer with all ABOM time series elements*
 
 ### Exploring Daily Precipitation (Cotter River)
 
 1. Click **ABOM - 410730 - Daily Precipitation** in the Project Explorer
-2. The **Time Series** tab displays the daily rainfall record
+2. The **Time Series** tab on the left displays the daily rainfall record
 3. Notice the episodic rainfall pattern with occasional high-intensity events
-4. Click the **Seasonality** tab to observe the seasonal rainfall distribution
+4. Click the **Seasonality** tab on the left to observe the seasonal rainfall distribution
 
 ![Time series plot showing daily precipitation for Cotter River at Gingera](../images/abom-precipitation-ts-plot.png)
+
 *Figure 2: Daily precipitation for Cotter River at Gingera, ACT (BOM 410730)*
 
 ### Exploring Daily Discharge (Cotter River)
@@ -79,6 +81,7 @@ Some daily series from BOM may contain missing data (NaN values). This is common
 3. Click the **Seasonality** tab to see the seasonal flow pattern
 
 ![Time series plot showing daily discharge for Cotter River with visible data gaps](../images/abom-daily-discharge-ts-plot.png)
+
 *Figure 3: Daily discharge for Cotter River at Gingera, ACT (BOM 410730)*
 
 ### Exploring Instantaneous Stage (Murray River)
@@ -88,6 +91,7 @@ Some daily series from BOM may contain missing data (NaN values). This is common
 3. The Murray River at Tocumwal shows the regulated flow pattern of a major river system
 
 ![Time series plot showing instantaneous stage for Murray River at Tocumwal](../images/abom-instantaneous-stage-ts-plot.png)
+
 *Figure 4: Instantaneous water level for Murray River at Tocumwal, NSW (BOM 409202)*
 
 ### Viewing the Properties Panel
@@ -101,14 +105,15 @@ Some daily series from BOM may contain missing data (NaN values). This is common
    - **Download** button to refresh the data
 
 ![Properties panel showing ABOM site number, data type dropdown, and Download button](../images/abom-properties-panel.png)
+
 *Figure 5: Properties panel for an ABOM time series element*
 
 ### Downloading Your Own ABOM Data
 
 To create a new ABOM time series element:
 
-1. Right-click **Time Series Data** in the Project Explorer and select **Create New**
-2. In the Properties panel, set **Entry Method** to **ABOM**
+1. Right-click **Time Series Data** in the Project Explorer and select **New Time Series**
+2. After naming the time series, in the Properties panel, set **Entry Method** to **ABOM**
 3. Enter a valid **ABOM Station ID** (6 digits, e.g., `410730`)
 4. Select the desired **Data Type** from the dropdown
 5. For Daily Precipitation, also select the **Depth Unit** (Millimeters, Centimeters, or Inches)

examples/1-time-series-data/5-hec-dss-import/hec-dss-import-example.md

@@ -52,6 +52,7 @@ This dataset represents a reservoir routing simulation for Grapevine Dam (Trinit
 4. The Project Explorer will show 2 elements under **Time Series Data**
 
 ![RMC-BestFit Project Explorer showing the 2 HEC-DSS time series elements](../images/hec-dss-project-explorer.png)
+
 *Figure 1: Project Explorer with HEC-DSS time series elements*
 
 ### Exploring the Inflow Hydrograph
@@ -61,6 +62,7 @@ This dataset represents a reservoir routing simulation for Grapevine Dam (Trinit
 3. Notice the sharp flood peak followed by a gradual recession
 
 ![Time series plot showing the hourly inflow hydrograph for Grapevine Dam](../images/hec-dss-inflow-ts-plot.png)
+
 *Figure 2: Hourly inflow hydrograph for Grapevine Dam*
 
 ### Comparing Inflow and Outflow with Alternative Time Series
@@ -73,6 +75,7 @@ RMC-BestFit's **Alternative Time Series** feature lets you overlay another time
 4. The outflow hydrograph will be overlaid on the inflow plot, visually demonstrating the reservoir's flood attenuation effect
 
 ![Time series plot showing inflow and outflow hydrographs overlaid using the Alternative Time Series feature](../images/hec-dss-inflow-outflow-comparison.png)
+
 *Figure 3: Inflow vs. outflow -- the Alternative Time Series feature shows how the reservoir attenuates the flood peak*
 
 ### Viewing the Properties Panel
@@ -85,20 +88,22 @@ RMC-BestFit's **Alternative Time Series** feature lets you overlay another time
    - **Import** button to re-import from the DSS file
 
 ![Properties panel showing HEC-DSS file path, DSS pathname, and Import button](../images/hec-dss-properties-panel.png)
+
 *Figure 4: Properties panel for a HEC-DSS time series element*
 
 ### Importing Your Own HEC-DSS Data
 
 To create a new HEC-DSS time series element:
 
-1. Right-click **Time Series Data** in the Project Explorer and select **Create New**
-2. In the Properties panel, set **Entry Method** to **HEC-DSS**
-3. Click **Browse** to select a `.dss` file
-4. The **DSS Path Selector** window will open, displaying all available pathnames in the file
-5. Select the desired dataset and click **OK**
+1. Right-click **Time Series Data** in the Project Explorer and select **New Time Series**
+2. After naming the time series, in the Properties panel, set **Entry Method** to **HEC-DSS**
+3. Click the three dots (...) to the right of the **DSS Filename Selector** to browse for a `.dss` file
+4. After selecting the `.dss` file, click the three dots (...) to the right of the **DSS Path Selector** and a window will open, displaying all available pathnames in the file
+5. Select the desired dataset and click **Set Path**
 6. Click **Import** to load the data
 
 ![DSS Path Selector window showing available pathnames in the DSS file](../images/hec-dss-path-selector.png)
+
 *Figure 5: DSS Path Selector window -- browse and select datasets from a HEC-DSS file*
 
 ## Key Settings

examples/1-time-series-data/6-manual-entry/manual-entry-example.md

@@ -49,6 +49,7 @@ This dataset is commonly used to demonstrate seasonal decomposition, trend-cycle
 Open `manual-entry-example.bestfit` in RMC-BestFit. The Project Explorer shows three Time Series Data elements:
 
 ![Project Explorer showing the three manual entry elements: Airline Passengers, Nile River Flows, and Mauna Loa CO2](../images/manual-entry-project-explorer.png)
+
 *Figure 1: Project Explorer with three manually entered time series*
 
 Each element contains the full dataset already entered. Click on any element to view the time series plot and explore its statistical properties.
@@ -64,23 +65,27 @@ Each element contains the full dataset already entered. Click on any element to
 
 ### Exploring the Time Series Tabs
 
-Click on an element to open it. The main view shows four tabs:
+Click on an element to open it. The main view shows four tabs to the left:
 
 1. **Time Series** -- The raw data plotted against time. Look for trend, seasonality, and level shifts.
 2. **Seasonality** -- A seasonal subseries plot showing data grouped by month (or other period). Useful for identifying recurring patterns.
 3. **ACF** -- Autocorrelation function. Slowly decaying ACF suggests trend or nonstationarity; periodic peaks suggest seasonality.
 4. **PACF** -- Partial autocorrelation function. Helps identify AR order -- significant spikes at lags 1 through *p* suggest an AR(*p*) model.
 
 ![Time series plot of Airline Passengers showing upward trend with growing seasonal amplitude](../images/manual-entry-airline-ts-plot.png)
+
 *Figure 2: Airline Passengers time series showing multiplicative seasonal pattern*
 
 ![ACF plot of Airline Passengers showing slowly decaying autocorrelation with seasonal peaks](../images/manual-entry-airline-acf.png)
+
 *Figure 3: ACF of Airline Passengers -- periodic peaks at lags 12, 24, 36 indicate seasonality*
 
 ![Time series plot of Nile River Flows showing level shift around 1898](../images/manual-entry-nile-ts-plot.png)
+
 *Figure 4: Nile River annual flows with visible level shift*
 
 ![Time series plot of Mauna Loa CO2 showing upward trend with seasonal cycle](../images/manual-entry-co2-ts-plot.png)
+
 *Figure 5: Mauna Loa CO2 with accelerating trend and annual seasonal cycle*
 
 ### Viewing the Properties Panel
@@ -93,6 +98,7 @@ Open the Properties panel (click **Properties** in the toolbar or press **F4**)
 - **Start Date** -- The date of the first observation
 
 ![Properties panel showing Entry Method = Manual, Time Interval = One Month, and Unit Label for Airline Passengers](../images/manual-entry-properties.png)
+
 *Figure 6: Properties panel for a manually entered time series*
 
 ## Creating Your Own Manual Entry Element
@@ -102,7 +108,7 @@ To enter a new time series manually from a CSV file:
 ### 1. Create the Element
 
 1. Right-click **Time Series Data** in the Project Explorer
-2. Select **Create New**
+2. Select **New Time Series**
 3. Enter a descriptive name for the element
 
 ### 2. Configure the Properties