Skillsbench nws-flood-thresholds

Download flood stage thresholds from NWS (National Weather Service). Use when determining flood levels for USGS stations, accessing action/minor/moderate/major flood stages, or matching stations to their flood thresholds.

install
source · Clone the upstream repo
git clone https://github.com/benchflow-ai/skillsbench
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/benchflow-ai/skillsbench "$T" && mkdir -p ~/.claude/skills && cp -r "$T/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds" ~/.claude/skills/benchflow-ai-skillsbench-nws-flood-thresholds && rm -rf "$T"
manifest: tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds/SKILL.md
source content

NWS Flood Thresholds Guide

Overview

The National Weather Service (NWS) maintains flood stage thresholds for thousands of stream gages across the United States. These thresholds define when water levels become hazardous.

Data Sources

Option 1: Bulk CSV Download (Recommended for Multiple Stations)

https://water.noaa.gov/resources/downloads/reports/nwps_all_gauges_report.csv

Option 2: Individual Station Pages

https://water.noaa.gov/gauges/<station_id>

Example:

https://water.noaa.gov/gauges/04118105

Flood Stage Categories

CategoryCSV ColumnDescription
Action Stage
action stage
Water level requiring monitoring, preparation may be needed
Flood Stage (Minor)
flood stage
Minimal property damage, some public threat. Use this to determine if flooding occurred.
Moderate Flood Stage
moderate flood stage
Structure inundation, evacuations may be needed
Major Flood Stage
major flood stage
Extensive damage, significant evacuations required

For general flood detection, use the

flood stage
column as the threshold.

Downloading Bulk CSV

import pandas as pd
import csv
import urllib.request
import io

nws_url = "https://water.noaa.gov/resources/downloads/reports/nwps_all_gauges_report.csv"

response = urllib.request.urlopen(nws_url)
content = response.read().decode('utf-8')
reader = csv.reader(io.StringIO(content))
headers = next(reader)
data = [row[:43] for row in reader]  # Truncate to 43 columns
nws_df = pd.DataFrame(data, columns=headers)

Important: CSV Column Mismatch

The NWS CSV has a known issue: header row has 43 columns but data rows have 44 columns. Always truncate data rows to match header count:

data = [row[:43] for row in reader]

Key Columns

Column NameDescription
usgs id
USGS station ID (8-digit string)
location name
Station name/location
state
Two-letter state code
action stage
Action threshold (feet)
flood stage
Minor flood threshold (feet)
moderate flood stage
Moderate flood threshold (feet)
major flood stage
Major flood threshold (feet)

Converting to Numeric

Threshold columns need conversion from strings:

nws_df['flood stage'] = pd.to_numeric(nws_df['flood stage'], errors='coerce')

Filtering by State

# Get stations for a specific state
state_stations = nws_df[
    (nws_df['state'] == '<STATE_CODE>') &
    (nws_df['usgs id'].notna()) &
    (nws_df['usgs id'] != '') &
    (nws_df['flood stage'].notna()) &
    (nws_df['flood stage'] != -9999)
]

Matching Thresholds to Station IDs

# Build a dictionary of station thresholds
station_ids = ['<id_1>', '<id_2>', '<id_3>']
thresholds = {}

for _, row in nws_df.iterrows():
    usgs_id = str(row['usgs id']).strip()
    if usgs_id in station_ids:
        thresholds[usgs_id] = {
            'name': row['location name'],
            'flood': row['flood stage']
        }

Common Issues

IssueCauseSolution
Column mismatch errorCSV has 44 data columns but 43 headersTruncate rows to 43 columns
Missing thresholdsStation not in NWS databaseSkip station or use alternative source
Value is -9999No threshold definedFilter out these values
Empty usgs idNWS-only stationFilter by
usgs id != ''

Best Practices

  • Always truncate CSV rows to match header count
  • Convert threshold columns to numeric before comparison
  • Filter out -9999 values (indicates no threshold defined)
  • Match stations by USGS ID (8-digit string with leading zeros)
  • Some stations may have flood stage but not action/moderate/major