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Historical dew point measurements from the DMC network

Meteorological Directorate of Chile

datasetViewer.description

The dew point or dew temperature is the highest temperature at which the water vapor contained in the air begins to condense, producing dew, mist, any type of cloud or, if the temperature is low enough, Frost. This is one of the variables recorded by the meteorological network of the Chilean Meteorological Directorate (DMC). This collection contains the information stored by 321 stations that have recorded, at some point, the dew point since 1950, spaced every hour. It is important to note that not all stations are currently operational. The data is updated directly from the DMC's web services and can be viewed in the Data Series viewer of the Itrend Data Platform. In addition, a historical database is provided in .npz* and .mat** format that is updated every 30 days for those stations that are still valid. *To load the data correctly in Python it is recommended to use the following code: ```python import numpy as np with np.load(filename, allow_pickle = True) as f: data = {} for key, value in f.items(): data[key] = value.item() ``` **Date data is in ```datenum``` format, and to load it correctly in ```datetime``` format, it is recommended to use the following command in MATLAB: ```python datetime(TS.x , 'ConvertFrom' , 'datenum') ```

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datasetViewer.previewCollectionInfo

Código NacionalNombre EstaciónComunaRegiónLatitudLongitudOrganismoDatos DesdeDatos
170001Visviri TenenciaGeneral LagosArica y Parinacota-17.594999-69.477499Dirección Meteorológica de Chile20132020
170007Visviri INIAGeneral LagosArica y Parinacota-17.594721-69.475277Instituto de Investigación Agropecuaria20192023
180005Chacalluta, Arica Ap.AricaArica y Parinacota-18.355555-70.340277Dirección Meteorológica de Chile19572023
180013El Buitre Arica Ad.AricaArica y Parinacota-18.508611-70.287221Dirección Meteorológica de Chile19521973
180017PutrePutreArica y Parinacota-18.2-69.5625Dirección Meteorológica de Chile20172023
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950001C.M.A. Eduardo Frei Montalva, AntárticaAntárticaMagallanes y de la Antártica Chilena-62.191944-58.979721Dirección Meteorológica de Chile19722023
950002Arturo Prat, Base AntárticaAntárticaMagallanes y de la Antártica Chilena-62.47861-59.664166Armada de Chile19592023
950003Bernardo O`Higgins, Base AntárticaAntárticaMagallanes y de la Antártica Chilena-63.320832-57.899444Dirección Meteorológica de Chile19562023
950006Antártica, Bahía Fildes Gobernación MarítimaAntárticaMagallanes y de la Antártica Chilena-62.201388-58.963611Armada de Chile20172023
950901Antártica, Base Gabriel Gonzalez VidelaAntárticaMagallanes y de la Antártica Chilena-64.824166-62.858055Armada de Chile20172023

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datasetViewer.download1 datasetViewer.here. datasetViewer.download3

datasetViewer.programaticAccess

datasetViewer.programaticAccess1 itrend-ds:04dd2dbce2e4a9fd

datasetViewer.programaticAccess2 Código Nacional

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:04dd2dbce2e4a9fd' collection_id = 'Código Nacional' # Get available formats dataset_formats = session.get_dataset_formats(dataset_id) fmt = dataset_formats[0] # Choose your preferred format: dataset_formats = [xlsx, 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 = [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

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datasetViewer.attribution1 Meteorological Directorate of Chile, «Historical dew point measurements from the DMC network». datasetViewer.attribution2

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datasetViewer.attribution3 Meteorological Directorate of Chile («Historical dew point measurements from the DMC network»), datasetViewer.attribution4

datasetViewer.permanentLink

datasetViewer.permanentLinkDescription

https://www.plataformadedatos.cl/datasets/en/04dd2dbce2e4a9fd

datasetViewer.metadata

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