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Historical precipitation measurements from the CEAZA network

Centre for Advanced Studies in Arid Zones

datasetViewer.description

In meteorology, precipitation is any form of hydrometeor that falls from the atmosphere and reaches the earth's surface. This phenomenon includes rain, drizzle, snow, sleet, hail, but not virga, mist or dew, which are forms of condensation and not precipitation. This is one of the variables recorded by the meteorological network of the Center for Advanced Studies in Arid Zones (CEAZA). This collection contains the information stored by 31 stations that have recorded, at some point, precipitations since 2004, spaced every hour on those days that some data was recorded. In each hour, the minimum, maximum and average precipitation is indicated. It is important to note that not all stations are currently operational. The data is updated monthly. For each sensor, the data series are available in *npz* format for Numpy and *mat* for Matlab, in addition to being able to be viewed in the Data Series viewer of the Itrend Data Platform. Last update: Thursday, August 11, 2022

datasetViewer.preview

datasetViewer.previewCollectionInfo

NombreCódigo sensorCanalesPrimer registroÚltimo registro
Andacollo [Collowara]ANDAPPmin; prom; max2014-01-13 16:00:002022-08-09 19:00:00
Caleta El ToroCTPPmin; prom; max2016-04-28 11:00:002022-05-04 13:00:00
CanelaCANPPmin; prom; max2013-07-08 17:00:002022-08-09 20:00:00
Combarbalá [C.del Sur]COMBPPmin; prom; max2013-10-16 17:00:002022-08-09 20:00:00
Coquimbo [El Panul]15min; prom; max2004-03-29 17:00:002022-08-09 20:00:00
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RivadaviaPYRVPPmin; prom; max2010-09-23 12:00:002021-01-28 10:00:00
Salamanca [Chillepín]CHILLPPmin; prom; max2013-07-09 14:00:002022-08-09 20:00:00
TascaderoTASCPPmin; prom; max2012-11-27 06:00:002022-08-09 19:00:00
TilamaTILPPmin; prom; max2013-07-24 15:00:002022-08-09 20:00:00
Vicuña35min; prom; max2004-01-31 23:00:002022-08-09 20:00:00

datasetViewer.download

datasetViewer.download1 datasetViewer.here. datasetViewer.download3

datasetViewer.programaticAccess

datasetViewer.programaticAccess1 itrend-ds:bb3fb3582edd9d2a

datasetViewer.programaticAccess2 Nombre

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:bb3fb3582edd9d2a' collection_id = 'Nombre' # 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 = [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 Centre for Advanced Studies in Arid Zones, «Historical precipitation measurements from the CEAZA network». datasetViewer.attribution2

datasetViewer.attributionMessage2

datasetViewer.attribution3 Centre for Advanced Studies in Arid Zones («Historical precipitation measurements from the CEAZA network»), datasetViewer.attribution4

datasetViewer.permanentLink

datasetViewer.permanentLinkDescription

https://www.plataformadedatos.cl/datasets/en/bb3fb3582edd9d2a

datasetViewer.metadata

datasetViewer.noMetadata