usgs-data-download

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