Deterministic rainfall/climate formatting for SWMM. Use when converting timestamped rainfall CSV files into SWMM-ready [TIMESERIES] lines and [RAINGAGES] helper snippets for swmm-builder.
Scanned 6/5/2026
Install via CLI
openskills install Zhonghao1995/agentic-swmm-workflow---
name: swmm-climate
description: Deterministic rainfall/climate formatting for SWMM. Use when converting timestamped rainfall CSV files into SWMM-ready [TIMESERIES] lines and [RAINGAGES] helper snippets for swmm-builder.
---
# SWMM Climate (MVP rainfall layer)
## What this skill provides
- Deterministic conversion from simple rainfall CSV to:
- SWMM `[TIMESERIES]` text lines
- structured JSON manifest for audit/provenance
- Deterministic helper generation for SWMM `[RAINGAGES]` section.
- MCP wrapper for agentic use.
## Input CSV contract
`format_rainfall.py` expects a header row and at minimum:
- `timestamp`: date-time string, default format `%Y-%m-%d %H:%M`
- `rainfall_mm_per_hr`: rainfall intensity in mm/hr
Optional extensions:
- `station_id` (or another column via `--station-column`) to carry multiple stations in one file.
- Batch mode by repeating `--input` and/or using `--input-glob`.
- Event window slicing via `--window-start` and `--window-end` (inclusive).
Accepted rainfall units (`--value-units`):
- `mm_per_hr` (aliases: `mm/hr`, `mm/h`)
- `in_per_hr` (aliases: `in/hr`, `in/h`)
Unit policy (`--unit-policy`):
- `strict`: only `mm_per_hr` accepted.
- `convert_to_mm_per_hr`: supported units are converted to `mm_per_hr`.
## SWMM `.dat` input contract
For SWMM-native rainfall `.dat` files (e.g. `<series> YYYY M D HH MM value`),
use `--input-dat <path>` and declare row units via `--dat-value-units`:
- `mm_per_hr`, `in_per_hr` (intensities)
- `mm_per_day`, `in_per_day` (24h volumes; divided by 24 to mm/hr)
In `.dat` mode the `--window-start` / `--window-end` filters expect `%Y-%m-%d`.
Use `--default-station-id` to override the series token taken from the .dat row.
`--input-dat` may be repeated to batch multiple .dat files but cannot be mixed
with `--input` / `--input-glob`.
Via the MCP tool, pass `inputDatPaths: [<path>]` and `datValueUnits:
"mm_per_day"` (or another supported unit) instead of `inputCsvPath`.
Temporal validation:
- duplicate timestamps are rejected per station/series.
- timestamp monotonicity is checked per station (`--timestamp-policy strict` default; optional `sort`).
## Scripts
- `scripts/format_rainfall.py`
- Reads rainfall CSV and writes:
- `timeseries` text block for SWMM
- machine-readable JSON summary
- `scripts/build_raingage_section.py`
- Builds SWMM `[RAINGAGES]` snippet referencing a timeseries name.
- For rainfall JSON with multiple stations, use `--station-id` to choose one station’s series.
## Outputs
- Timeseries text file (SWMM-ready body for `[TIMESERIES]`)
- JSON summary with:
- source path + SHA256
- timestamp range
- row count
- timeseries name
- Raingage snippet text file + JSON summary.
## MCP
MCP wrapper location:
- `scripts/mcp/server.js`
Exposed tools:
- `format_rainfall`
- `build_raingage_section`
## Example commands
```bash
python3 skills/swmm-climate/scripts/format_rainfall.py \
--input skills/swmm-climate/examples/rainfall_event.csv \
--out-json runs/swmm-climate/example_rainfall.json \
--out-timeseries runs/swmm-climate/example_timeseries.txt \
--series-name TS_EVENT
```
```bash
python3 skills/swmm-climate/scripts/format_rainfall.py \
--input skills/swmm-climate/examples/rainfall_multi_station.csv \
--station-column station_id \
--series-name-template 'TS_EVENT_{station_safe}' \
--out-json runs/swmm-climate/example_multi_station.json \
--out-timeseries runs/swmm-climate/example_multi_station.txt
```
```bash
python3 skills/swmm-climate/scripts/format_rainfall.py \
--input skills/swmm-climate/examples/rainfall_batch_rg1.csv \
--input skills/swmm-climate/examples/rainfall_batch_rg2.csv \
--window-start '2025-06-01 00:05' \
--window-end '2025-06-01 00:15' \
--series-name TS_BATCH \
--out-json runs/swmm-climate/example_batch_windowed.json \
--out-timeseries runs/swmm-climate/example_batch_windowed.txt
```
```bash
python3 skills/swmm-climate/scripts/build_raingage_section.py \
--gage-id RG1 \
--rainfall-json runs/swmm-climate/example_multi_station.json \
--station-id RG1 \
--interval-min 5 \
--out-text runs/swmm-climate/example_raingage.txt \
--out-json runs/swmm-climate/example_raingage.json
```
## MVP limitations
- MVP focuses on rainfall intensity and raingage section helper only.
- No temperature/evaporation/wind climatology conversion in this pass.
- `swmm-builder` path in this repo still assembles a single raingage reference per build step.
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