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usgs-data-download

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name: usgs-data-download description: Download water level data from USGS using the dataretrieval package. Use when accessing real-time or historical streamflow data, downloading gage height or discharge measurements, or working with USGS station IDs. license: MIT

USGS Data Download Guide

Overview

This guide covers downloading water level data from USGS using the dataretrieval Python package. USGS maintains thousands of stream gages across the United States that record water levels at 15-minute intervals.

Installation

pip install dataretrieval

nwis Module (Recommended)

The NWIS module is reliable and straightforward for accessing gage height data.

from dataretrieval import nwis

# Get instantaneous values (15-min intervals)
df, meta = nwis.get_iv(
    sites='<station_id>',
    start='<start_date>',
    end='<end_date>',
    parameterCd='00065'
)

# Get daily values
df, meta = nwis.get_dv(
    sites='<station_id>',
    start='<start_date>',
    end='<end_date>',
    parameterCd='00060'
)

# Get site information
info, meta = nwis.get_info(sites='<station_id>')

Parameter Codes

Code Parameter Unit Description
00065 Gage height feet Water level above datum
00060 Discharge cfs Streamflow volume

nwis Module Functions

Function Description Data Frequency
nwis.get_iv() Instantaneous values ~15 minutes
nwis.get_dv() Daily values Daily
nwis.get_info() Site information N/A
nwis.get_stats() Statistical summaries N/A
nwis.get_peaks() Annual peak discharge Annual

Returned DataFrame Structure

The DataFrame has a datetime index and these columns:

Column Description
site_no Station ID
00065 Water level value
00065_cd Quality code (can ignore)

Downloading Multiple Stations

from dataretrieval import nwis

station_ids = ['<id_1>', '<id_2>', '<id_3>']
all_data = {}

for site_id in station_ids:
    try:
        df, meta = nwis.get_iv(
            sites=site_id,
            start='<start_date>',
            end='<end_date>',
            parameterCd='00065'
        )
        if len(df) > 0:
            all_data[site_id] = df
    except Exception as e:
        print(f"Failed to download {site_id}: {e}")

print(f"Successfully downloaded: {len(all_data)} stations")

Extracting the Value Column

# Find the gage height column (excludes quality code column)
gage_col = [c for c in df.columns if '00065' in str(c) and '_cd' not in str(c)]

if gage_col:
    water_levels = df[gage_col[0]]
    print(water_levels.head())

Common Issues

Issue Cause Solution
Empty DataFrame Station has no data for date range Try different dates or use get_iv()
get_dv() returns empty No daily gage height data Use get_iv() and aggregate
Connection error Network issue Wrap in try/except, retry
Rate limited Too many requests Add delays between requests

Best Practices

  • Always wrap API calls in try/except for failed downloads
  • Check len(df) > 0 before processing
  • Station IDs are 8-digit strings with leading zeros (e.g., '04119000')
  • Use get_iv() for gage height, as daily data is often unavailable
  • Filter columns to exclude quality code columns (_cd)
  • Break up large requests into smaller time periods to avoid timeouts

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Skill Details

GitHub Stars 283
GitHub Forks 174
Created Jan 2026
Last Updated il y a 6 mois
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