Global Open Data Index: Survey
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3-day forecasts of temperature, precipitation and wind. Forecasts have to be provided for several regions in the country. Short-term weather forecasts are relevant for the general public to plan activities, while also being reliable. See our methodology section for more information.
| Question | Answer | Comment |
|---|---|---|
| Openly licenced | No | |
| In an open and machine-readable format | HTML | |
| Downloadable at once | No | |
| Up-to-date | Yes | |
| Publicly available | Yes | |
| Available free of charge | Yes | |
| findable | 3 | |
| findable_steps | Searche for "datos meteorologicos historicos peru" | |
| Collected by government | Yes | |
| usability | 3 | |
| collector_name | SERVICIO NACIONAL DE METEOROLOGIA E HIDROLOGIA DEL PERU | |
| characteristics | Temperature extremes, Wind speed, Wind direction, Precipitation Amount, Forecast for current day and four following days | |
| location | http://www.senamhi.gob.pe/?p=0115 - Pronóstico del clima hasta 15 días, http://www.senamhi.gob.pe/main_mapa.php?t=dHi - National meteorological and hydrological service, Historical data, http://www.senamhi.gob.pe/?p=0115 - National meteorological and hydrological service, precipitation and temperature map, http://www.senamhi.gob.pe/?p=0260 - National meteorological and hydrological service, wind barb map for current day + 2 days |
There is a portal allowing to see (not download) all required characteristics (see here: http://www.senamhi.gob.pe/main_mapa.php?t=dHi). This portal is outdated, the data refer to April 2015, and the link to the terms and use section is broken. Data for the current data can be seen here: http://www.senamhi.gob.pe/?p=1201_dr03 All data is available online, however split across different sites and in different formats. Wind forecasts are available for current day + 2 days, but only as wind barbs drawn on a map. The reviewer recommends to lower the findability-score of the data, since the data are split across places. Also some data would need to be retrieved and processed manually (such as non-machine-readable wind barb maps) to reuse them. Therefore the usability score should be lower. Thank you, Oscar Montiel, for contributing to the Global Open Data Index.