PSMSL tide-gauge mean sea level (RLR)

Use in your agent

Probe PSMSL RLR monthly zip headers in memory. Checked against the provider's documentation on Nov 6, 2026.

Access

• No key. HTTPS HEAD/GET of the RLR monthly zip.

Request

curl -sS -L -I 'https://psmsl.org/data/obtaining/rlr.monthly.data/rlr_monthly.zip'

Format

ZIP archive of RLR monthly tide-gauge files as documented on psmsl.org/data/obtaining/.

Load into pandas (in memory)

Needs Python 3 with requests and pandas. The provider's terms limit storage or leave it unclear, so this snippet does not write a file.

"""Probe PSMSL RLR monthly zip headers in memory (citation required; writes no file)."""
import requests
import pandas as pd

URL = "https://psmsl.org/data/obtaining/rlr.monthly.data/rlr_monthly.zip"
r = requests.head(URL, allow_redirects=True, timeout=30)
r.raise_for_status()
df = pd.DataFrame([{
    "url": URL,
    "status": r.status_code,
    "content_type": r.headers.get("Content-Type"),
    "content_length": r.headers.get("Content-Length"),
}])
print(df.to_string(index=False))

Run by us on 2026-11-06 (python 3 | requests). Result: RLR monthly zip URL returned HTTP 200 (application/zip) on 2026-11-06.

Limits

• Not stated numeric rate limit on the checked PSMSL pages.

Quirks

• Cite PSMSL and Holgate et al. 2013 with the Retrieved/Extracted date.
• Do not commit the zip into git.
• This snippet writes no file; it only checks headers in memory.

Terms and attribution

• PSMSL datasets are "free for all to use."
• Reference page: cite the data set and Holgate et al. 2013 with Retrieved date; this probe does not store the archive.

Sources

• https://psmsl.org/data/obtaining/: “Mean Sea Level Data”
• https://psmsl.org/data/obtaining/reference.php: “Referencing the Tide Gauge Data Set”