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Weather stations with monthly detail from the MMA

Ministry of the Environment

datasetViewer.description

Compilation of meteorological variables, monitored by the stations of the National Air Quality Information System (SINCA), of the Ministry of the Environment. The information collected is divided into variables such as Humidity, Temperature, Pressure and Precipitation, from different territories throughout Chile, and are grouped at a monthly level.

datasetViewer.preview

datasetViewer.previewCollectionInfo

Código EstaciónNombre EstaciónLatitudLongitudVariablesFecha InicioFecha TérminoComunaProvinciaRegión
117Alto Hospicio-20.29049906-70.10022419Humedad; Temperatura16-01-201931-01-2022Alto HospicioIquiqueTarapacá
332Copiapó Sivica-27.370017-70.323373Humedad; Temperatura22-04-201931-01-2022CopiapóCopiapóAtacama
333Huasco Sivica-28.46998472-71.21961686Humedad; Temperatura16-01-201925-03-2021HuascoHuascoAtacama
425La Serena-29.92034147-71.25602044Humedad; Temperatura16-01-201931-01-2022La SerenaElquiCoquimbo
426Coquimbo-29.97075558-71.33597584Humedad; Temperatura16-01-201931-01-2022CoquimboElquiCoquimbo
······························
D30Quilicura II-33.3497859-70.7237521Humedad; Temperatura01-01-201304-01-2022QuilicuraSantiagoMetropolitana
D31Cerrillos Móvil-33.49254949-70.71289645Humedad; Temperatura01-01-201304-01-2022CerrillosSantiagoMetropolitana
E03Valdivia-39.83123215-73.22848834Humedad; Temperatura16-01-201931-01-2022ValdiviaValdiviaLos Ríos
E04La Unión-39.80415656-73.19716905Humedad; Temperatura16-01-201931-01-2022ValdiviaValdiviaLos Ríos
E08Valdivia 2-39.83123215-73.22848834Humedad; Temperatura16-01-201931-01-2022ValdiviaValdiviaLos Ríos

datasetViewer.spatialCoverage

datasetViewer.spatialCoverageInfo datasetViewer.mapView

datasetViewer.download

datasetViewer.download1 datasetViewer.here. datasetViewer.download3

datasetViewer.programaticAccess

datasetViewer.programaticAccess1 itrend-ds:J4KRX6T12U50WZ7M

datasetViewer.programaticAccess2 Código Estación

datasetViewer.programaticAccess3 datasetViewer.programaticAccess4 datasetViewer.programaticAccess5 datasetViewer.here

```python import pytrend import pandas as pd session = pytrend.itrend_developer_tools() session.set_credentials( access_key_id = '', # Type your access_key_id secret_access_key = '' # Type your secret_access_key ) # Dataset dataset_id = 'itrend-ds:J4KRX6T12U50WZ7M' collection_id = 'Código Estación' # Get available formats dataset_formats = session.get_dataset_formats(dataset_id) fmt = dataset_formats[0] # Choose your preferred format: dataset_formats = [csv] # Download file response = session.download_file(dataset_id, fmt) # Download an element filename = response.get('filename') delimiter = response.get('delimiter') df = pd.read_csv(filename, delimiter) element_formats = session.get_element_formats(dataset_id) efmt = element_formats[0] # Choose your preferred format: element_formats = [csv, npz, mat] for r, row in df.iterrows(): element_id = row[collection_id] element_response = session.download_file(dataset_id, efmt, element_id) break ```

datasetViewer.attribution

datasetViewer.attributionMessage1

datasetViewer.attribution1 Ministry of the Environment, «Weather stations with monthly detail from the MMA». datasetViewer.attribution2

datasetViewer.attributionMessage2

datasetViewer.attribution3 Ministry of the Environment («Weather stations with monthly detail from the MMA»), datasetViewer.attribution4

datasetViewer.permanentLink

datasetViewer.permanentLinkDescription

https://www.plataformadedatos.cl/datasets/en/J4KRX6T12U50WZ7M

datasetViewer.metadata

datasetViewer.noMetadata