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Add iotools reader for DWD 10-minute station data (Germany)

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
55/100
Tipo de issue
Nueva funcionalidad
Claridad
Bien especificado
Estado de actividad
Activo
Stack tecnológico
python
Área
data

Línea de trabajo

Start by reviewing existing readers in pvlib.iotools and the DWD dataset descriptions linked in the issue. Implement the reader for the SOLAR and TU products, handling timestamps, units, missing values, quality levels, and station metadata as specified; add synthetic test files for both formats. Done when the requested data and metadata are returned correctly and the tests cover these behaviors.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

io

Is your feature request related to a problem? Please describe.

The German Weather Service (DWD) publishes 10-minute measurements from about 200 stations through its Climate Data Center as open data (CC BY 4.0): global, diffuse and long-wave irradiance, sunshine duration, air temperature, humidity, pressure and dew point, with records back to 1989. Reading them correctly takes a few non-obvious steps: irradiance is given in J/cm² summed over the preceding 10 minutes, time stamps are MEZ (UTC+1) before 2000 and UTC afterwards, missing values are −999, and data and station metadata come in per-station zip files. pvlib has readers for several US networks and BSRN, but none for a European national network.

Describe the solution you'd like

A pvlib.iotools.read_dwd_10min(filename, map_variables=True) that reads a CDC zip (or the extracted produkt_zehn_min_*.txt) for the solar (SOLAR) and air temperature (TU) products and returns (data, metadata):

  • a UTC DatetimeIndex, labelled at the end of each 10-minute interval as in the source, documented in the docstring;
  • irradiance converted to W/m² and mapped to ghi, dhi, lwd; temp_air, relative_humidity, pressure (Pa), temp_dew; −999 as NaN; the quality level QN kept;
  • station id, name, latitude, longitude and elevation in metadata.

Optionally a get_dwd_10min(station_id, product, period) that downloads from opendata.dwd.de (historical, recent or now). I would be glad to implement this with small synthetic test files if it fits the scope of iotools.

Describe alternatives you've considered

Users write their own parsers; existing third-party packages that wrap the DWD open data are general-purpose download clients and do not return pvlib variable names, units or interval conventions.

Additional context

Format and units are described in DWD's dataset descriptions, e.g. opendata.dwd.de/climate_environment/CDC/observations_germany/climate/10_minutes/solar/DESCRIPTION_obsgermany_climate_10min_solar_en.pdf (and the same for air_temperature).

Prepared with AI assistance (Claude); I reviewed it.

Lenguaje dominante
Python
Estrellas
1.7k
Forks
1.2k
Merge medio
3 d 18 h
PR fusionados (30 d)
13

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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