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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.

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安装与使用

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技能说明

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

Category CSV Column Description
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 Name Description
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

Issue Cause Solution
Column mismatch error CSV has 44 data columns but 43 headers Truncate rows to 43 columns
Missing thresholds Station not in NWS database Skip station or use alternative source
Value is -9999 No threshold defined Filter out these values
Empty usgs id NWS-only station Filter 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

使用示例

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来源历史

收录时间
2026-01-20
索引更新时间
2026-02-02
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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