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Extracting Dss Results Gpt Cmdr Hms Commander 2
ASecurityExtracts and analyzes HEC-HMS simulation results from DSS files using HmsDss and HmsResults classes. Handles peak flows, hydrographs, volume summaries, and time series data. Leverages ras-commander's RasDss for DSS V6/V7 support. Use when processing HMS results, extracting peak flows, analyzing hydrographs, computing volumes, or exporting time series. Integrates with HEC-RAS for boundary condition workflows. Trigger keywords: DSS file, results, peak flow, hydrograph, time series, volume, extr...
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name: extracting-dss-results
description: |
Extracts and analyzes HEC-HMS simulation results from DSS files using HmsDss and
HmsResults classes. Handles peak flows, hydrographs, volume summaries, and time series
data. Leverages ras-commander's RasDss for DSS V6/V7 support. Use when processing
HMS results, extracting peak flows, analyzing hydrographs, computing volumes, or
exporting time series. Integrates with HEC-RAS for boundary condition workflows.
Trigger keywords: DSS file, results, peak flow, hydrograph, time series, volume,
extract results, HMS output, analyze results.
---
# Extracting DSS Results
## Quick Start
```python
from hms_commander import HmsResults, HmsDss
# Extract peak flows
peaks = HmsResults.get_peak_flows("results.dss")
# Extract hydrograph
flows = HmsResults.get_outflow_timeseries("results.dss", "Outlet")
# Get precipitation time series
precip = HmsResults.get_precipitation_timeseries("results.dss", "Subbasin1")
```
## Primary Sources
**Code**:
- `hms_commander/HmsDss.py` - DSS operations (wraps RasDss)
- `hms_commander/HmsResults.py` - Results extraction and analysis
**Integration**: Uses `ras_commander.RasDss` for DSS V6/V7 support
**Rules**: `.claude/rules/hec-hms/dss-operations.md` - DSS patterns
## When to Use This Skill
- Extracting simulation results after HmsCmdr.compute_run()
- Analyzing peak flows and timing
- Processing hydrographs for plotting or export
- Computing volume summaries (acre-feet)
- Linking HMS results to HEC-RAS (boundary conditions)
- Comparing multiple runs
## Core Capabilities
### 1. Peak Flow Extraction
Returns DataFrame with peak flows for all elements:
```python
peaks = HmsResults.get_peak_flows("results.dss")
# Columns: Element, Peak Flow (cfs), Time to Peak
```
### 2. Time Series Extraction
Get complete hydrographs:
```python
flows = HmsResults.get_outflow_timeseries("results.dss", "Outlet")
# Returns: pandas DataFrame with datetime index
```
### 3. Volume Analysis
```python
volumes = HmsResults.get_volume_summary("results.dss")
# Returns: DataFrame with volumes in acre-feet
```
### 4. Multi-Run Comparison
```python
comparison = HmsResults.compare_runs(
["baseline.dss", "alternative.dss"],
element="Outlet"
)
```
## DSS Pathname Format
HMS uses standard DSS pathname: `/A/B/C/D/E/F/`
- **A**: Basin name
- **B**: Element name (subbasin/junction/reach)
- **C**: Parameter type (FLOW, PRECIP, etc.)
- **D**: Time interval (15MIN, 1HOUR, etc.)
- **E**: Run name
- **F**: Version (usually blank)
Example: `/BASIN/OUTLET/FLOW/15MIN/RUN1/`
**See**: `.claude/rules/hec-hms/dss-operations.md` for complete pathname details
## RasDss Integration
HmsDss wraps ras-commander's RasDss:
**Why?**
- No code duplication
- Consistent DSS operations across HMS and RAS
- Automatic V6/V7 support
- Shared Java bridge maintenance
**Check availability**:
```python
if HmsDss.is_available():
catalog = HmsDss.get_catalog("results.dss")
else:
print("RasDss not available - install ras-commander")
```
## Common Workflows
### Workflow 1: Post-Simulation Analysis
```python
from hms_commander import init_hms_project, hms, HmsCmdr, HmsResults
# Run simulation
init_hms_project("project")
HmsCmdr.compute_run("Run 1")
# Extract results
dss_file = hms.run_df.loc["Run 1", "dss_file"]
peaks = HmsResults.get_peak_flows(dss_file)
print(peaks)
```
### Workflow 2: Export for External Analysis
```python
# Export all results to CSV
HmsResults.export_results_to_csv("results.dss", "output_folder")
```
### Workflow 3: HMS to RAS Linking
```python
from hms_commander import HmsResults, HmsGeo
# Extract HMS hydrograph
hms_flows = HmsResults.get_outflow_timeseries("hms_results.dss", "Outlet")
# Get peak for validation
peaks = HmsResults.get_peak_flows("hms_results.dss")
hms_peak = peaks.loc["Outlet", "Peak Flow (cfs)"]
# Document spatial reference for RAS matching
lat, lon = HmsGeo.get_project_centroid_latlon("project.geo")
# Handoff to RAS:
# - DSS file: hms_results.dss
# - Pathname: /BASIN/OUTLET/FLOW/15MIN/RUN/
# - Outlet location: (lat, lon)
# - Peak: hms_peak cfs
# See: linking-hms-to-hecras skill for complete workflow
```
## Reference Files
- `reference/hmsdss_api.md` - Complete HmsDss API
- `reference/hmsresults_api.md` - Complete HmsResults API
- `reference/dss_pathnames.md` - Pathname structure details
- `examples/peak_flows.md` - Peak flow analysis
- `examples/hydrographs.md` - Time series plotting
## Related Skills
- **executing-hms-runs** - Generate results to extract
- **linking-hms-to-hecras** - Use HMS results in RAS (complete workflow)
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