Station data differs from DWD

[sv1990]

When downloading the data for station D3490 I get different data than directly from DWD. The DWD data has a gap between 2021-07 and 2021-11 while the data downloaded through meteostat has values there.

Code for reproduction

Meteostat

from datetime import datetime

import meteostat

stations = meteostat.Stations()
stations = stations.nearby(50.541821, 7.119770)
station = stations.fetch(1)
print(station["name"])
df_meteostat = meteostat.Daily(station, datetime(2021, 1, 1), datetime(2021, 12, 31)).fetch()

This prints

id
D3490    Neuenahr, Bad-Ahrweiler
Name: name, dtype: object

DWD

from io import BytesIO
from zipfile import ZipFile

import pandas as pd
import requests

response = requests.get(
    "https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/kl/historical/tageswerte_KL_03490_19480101_20241231_hist.zip"
)
with ZipFile(BytesIO(response.content)).open(
    "produkt_klima_tag_19480101_20241231_03490.txt"
) as f:
    df_dwd = pd.read_csv(f, sep=";")
    df_dwd["date"] = pd.to_datetime(df_dwd.MESS_DATUM, format="%Y%m%d")
    df_dwd = df_dwd[df_dwd.date.dt.year == 2021]
    df_dwd.columns = df_dwd.columns.str.strip()
    df_dwd = df_dwd.set_index("date")

Plotting

from matplotlib import pyplot as plt

fig, ax = plt.subplots()
df_meteostat.plot(y="prcp", ax=ax, label="meteostat")
df_dwd.plot(y="RSK", ax=ax, label="dwd")
plt.legend(title="Precipation")

Is the data downloaded through meteostat somehow interpolated? Or is another source used? For the dates where both downloads have values they are agreeing at least for precipation which is what I am currently interested in.