Extracting DSS Results

Extracting DSS Results

Quick Start

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:

peaks = HmsResults.get_peak_flows("results.dss")
# Columns: Element, Peak Flow (cfs), Time to Peak

2. Time Series Extraction

Get complete hydrographs:

flows = HmsResults.get_outflow_timeseries("results.dss", "Outlet")
# Returns: pandas DataFrame with datetime index

3. Volume Analysis

volumes = HmsResults.get_volume_summary("results.dss")
# Returns: DataFrame with volumes in acre-feet

4. Multi-Run Comparison

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:

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

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

# Export all results to CSV
HmsResults.export_results_to_csv("results.dss", "output_folder")

Workflow 3: HMS to RAS Linking

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)