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Daymet

AIforEarth Daymet Weather

Daymet provides gridded estimates of daily weather parameters (minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length) in North America from daily meteorological observations.

The motivation for producing Daymet is to provide measurements of near-surface meteorological conditions where no instrumentation exists.

This dataset provides Daymet Version 3 model output data as gridded estimates of daily weather parameters for North America and Hawaii: including Canada, Mexico, the United States of America, and Puerto Rico. The island areas of Hawaii and Puerto Rico are available as files separate from the continental land mass. Daymet output variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The dataset covers the period from January 1, 1980 to December 31 of the most recent full calendar year. Each subsequent year is processed individually at the close of a calendar year. Daymet variables are continuous surfaces provided as individual files, by variable and year, at a 1-km x 1-km spatial resolution and a daily temporal resolution. Data are in a Lambert Conformal Conic projection for North America and are distributed in a netCDF file format compliant with Climate and Forecast (CF) metadata conventions (version 1.6).

Coverage

Spatial Coverage (bounding rectangle)
- North: 83.00
- South: 14.00
- East: -52.00
- West: -179.00

Temporal Coverage
- Begin: 1980-01-01
- End: 2018-12-31

Citation

Thornton, P.E., M.M. Thornton, B.W. Mayer, Y. Wei, R. Devarakonda, R.S. Vose, and R.B. Cook. 2016. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1328

Download citation from Datacite:
- Download RIS formatted citation
- Download BibTex formatted citation
- Datacite search result
- Crosscite Citation Formatter

See the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC)’s Data Citations and Acknowledgements policy for more information.

Resources

The following resources and references may be helpful when working with the Daymet dataset.
- Project site
- User Guide
- Resources
- THREDDS Data Access

For more information, please see https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1328.

Notices

MICROSOFT PROVIDES AZURE OPEN DATASETS ON AN “AS IS” BASIS. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, GUARANTEES OR CONDITIONS WITH RESPECT TO YOUR USE OF THE DATASETS. TO THE EXTENT PERMITTED UNDER YOUR LOCAL LAW, MICROSOFT DISCLAIMS ALL LIABILITY FOR ANY DAMAGES OR LOSSES, INCLUDING DIRECT, CONSEQUENTIAL, SPECIAL, INDIRECT, INCIDENTAL OR PUNITIVE, RESULTING FROM YOUR USE OF THE DATASETS.

This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.

Access

Available inWhen to use
Azure Notebooks

Quickly explore the dataset with Jupyter notebooks hosted on Azure or your local machine.

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Azure Notebooks

Azure Notebooks

Package: Language: Python

Accessing Daymet data

The Daymet dataset contains daily data on minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The dataset covers the period from January 1, 1980 to December 31, 2018.

The Daymet dataset is maintained at https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1328 and mirrored on Azure Open Datasets at https://azure.microsoft.com/services/open-datasets/catalog/daymet.

In [1]:
import numpy as np  
import netCDF4 as nc 
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from azure.storage.blob import BlockBlobService, PublicAccess
import urllib.request

container_name = "daymetv3-raw"
daymet_azure_storage_URL = "https://daymet.blob.core.windows.net/"

Listing the files available in Azure blob storage

The Daymet dataset is available for anonymous public download on Azure. The following code shows how to list all data files that are currently available.

In [2]:
block_blob_service = BlockBlobService(connection_string='BlobEndpoint=' + daymet_azure_storage_URL + ';')

# List the blobs in the container
iterator = block_blob_service.list_blobs(container_name)
for blob in iterator:
        print("Blob name: " + blob.name)
Blob name: daymet_v3_dayl_1980_hawaii.nc4
Blob name: daymet_v3_dayl_1980_na.nc4
Blob name: daymet_v3_dayl_1980_puertorico.nc4
Blob name: daymet_v3_dayl_1981_hawaii.nc4
Blob name: daymet_v3_dayl_1981_na.nc4
Blob name: daymet_v3_dayl_1981_puertorico.nc4
Blob name: daymet_v3_dayl_1982_hawaii.nc4
Blob name: daymet_v3_dayl_1982_na.nc4
Blob name: daymet_v3_dayl_1982_puertorico.nc4
Blob name: daymet_v3_dayl_1983_hawaii.nc4
Blob name: daymet_v3_dayl_1983_na.nc4
Blob name: daymet_v3_dayl_1983_puertorico.nc4
Blob name: daymet_v3_dayl_1984_hawaii.nc4
Blob name: daymet_v3_dayl_1984_na.nc4
Blob name: daymet_v3_dayl_1984_puertorico.nc4
Blob name: daymet_v3_dayl_1985_hawaii.nc4
Blob name: daymet_v3_dayl_1985_na.nc4
Blob name: daymet_v3_dayl_1985_puertorico.nc4
Blob name: daymet_v3_dayl_1986_hawaii.nc4
Blob name: daymet_v3_dayl_1986_na.nc4
Blob name: daymet_v3_dayl_1986_puertorico.nc4
Blob name: daymet_v3_dayl_1987_hawaii.nc4
Blob name: daymet_v3_dayl_1987_na.nc4
Blob name: daymet_v3_dayl_1987_puertorico.nc4
Blob name: daymet_v3_dayl_1988_hawaii.nc4
Blob name: daymet_v3_dayl_1988_na.nc4
Blob name: daymet_v3_dayl_1988_puertorico.nc4
Blob name: daymet_v3_dayl_1989_hawaii.nc4
Blob name: daymet_v3_dayl_1989_na.nc4
Blob name: daymet_v3_dayl_1989_puertorico.nc4
Blob name: daymet_v3_dayl_1990_hawaii.nc4
Blob name: daymet_v3_dayl_1990_na.nc4
Blob name: daymet_v3_dayl_1990_puertorico.nc4
Blob name: daymet_v3_dayl_1991_hawaii.nc4
Blob name: daymet_v3_dayl_1991_na.nc4
Blob name: daymet_v3_dayl_1991_puertorico.nc4
Blob name: daymet_v3_dayl_1992_hawaii.nc4
Blob name: daymet_v3_dayl_1992_na.nc4
Blob name: daymet_v3_dayl_1992_puertorico.nc4
Blob name: daymet_v3_dayl_1993_hawaii.nc4
Blob name: daymet_v3_dayl_1993_na.nc4
Blob name: daymet_v3_dayl_1993_puertorico.nc4
Blob name: daymet_v3_dayl_1994_hawaii.nc4
Blob name: daymet_v3_dayl_1994_na.nc4
Blob name: daymet_v3_dayl_1994_puertorico.nc4
Blob name: daymet_v3_dayl_1995_hawaii.nc4
Blob name: daymet_v3_dayl_1995_na.nc4
Blob name: daymet_v3_dayl_1995_puertorico.nc4
Blob name: daymet_v3_dayl_1996_hawaii.nc4
Blob name: daymet_v3_dayl_1996_na.nc4
Blob name: daymet_v3_dayl_1996_puertorico.nc4
Blob name: daymet_v3_dayl_1997_hawaii.nc4
Blob name: daymet_v3_dayl_1997_na.nc4
Blob name: daymet_v3_dayl_1997_puertorico.nc4
Blob name: daymet_v3_dayl_1998_hawaii.nc4
Blob name: daymet_v3_dayl_1998_na.nc4
Blob name: daymet_v3_dayl_1998_puertorico.nc4
Blob name: daymet_v3_dayl_1999_hawaii.nc4
Blob name: daymet_v3_dayl_1999_na.nc4
Blob name: daymet_v3_dayl_1999_puertorico.nc4
Blob name: daymet_v3_dayl_2000_hawaii.nc4
Blob name: daymet_v3_dayl_2000_na.nc4
Blob name: daymet_v3_dayl_2000_puertorico.nc4
Blob name: daymet_v3_dayl_2001_hawaii.nc4
Blob name: daymet_v3_dayl_2001_na.nc4
Blob name: daymet_v3_dayl_2001_puertorico.nc4
Blob name: daymet_v3_dayl_2002_hawaii.nc4
Blob name: daymet_v3_dayl_2002_na.nc4
Blob name: daymet_v3_dayl_2002_puertorico.nc4
Blob name: daymet_v3_dayl_2003_hawaii.nc4
Blob name: daymet_v3_dayl_2003_na.nc4
Blob name: daymet_v3_dayl_2003_puertorico.nc4
Blob name: daymet_v3_dayl_2004_hawaii.nc4
Blob name: daymet_v3_dayl_2004_na.nc4
Blob name: daymet_v3_dayl_2004_puertorico.nc4
Blob name: daymet_v3_dayl_2005_hawaii.nc4
Blob name: daymet_v3_dayl_2005_na.nc4
Blob name: daymet_v3_dayl_2005_puertorico.nc4
Blob name: daymet_v3_dayl_2006_hawaii.nc4
Blob name: daymet_v3_dayl_2006_na.nc4
Blob name: daymet_v3_dayl_2006_puertorico.nc4
Blob name: daymet_v3_dayl_2007_hawaii.nc4
Blob name: daymet_v3_dayl_2007_na.nc4
Blob name: daymet_v3_dayl_2007_puertorico.nc4
Blob name: daymet_v3_dayl_2008_hawaii.nc4
Blob name: daymet_v3_dayl_2008_na.nc4
Blob name: daymet_v3_dayl_2008_puertorico.nc4
Blob name: daymet_v3_dayl_2009_hawaii.nc4
Blob name: daymet_v3_dayl_2009_na.nc4
Blob name: daymet_v3_dayl_2009_puertorico.nc4
Blob name: daymet_v3_dayl_2010_hawaii.nc4
Blob name: daymet_v3_dayl_2010_na.nc4
Blob name: daymet_v3_dayl_2010_puertorico.nc4
Blob name: daymet_v3_dayl_2011_hawaii.nc4
Blob name: daymet_v3_dayl_2011_na.nc4
Blob name: daymet_v3_dayl_2011_puertorico.nc4
Blob name: daymet_v3_dayl_2012_hawaii.nc4
Blob name: daymet_v3_dayl_2012_na.nc4
Blob name: daymet_v3_dayl_2012_puertorico.nc4
Blob name: daymet_v3_dayl_2013_hawaii.nc4
Blob name: daymet_v3_dayl_2013_na.nc4
Blob name: daymet_v3_dayl_2013_puertorico.nc4
Blob name: daymet_v3_dayl_2014_hawaii.nc4
Blob name: daymet_v3_dayl_2014_na.nc4
Blob name: daymet_v3_dayl_2014_puertorico.nc4
Blob name: daymet_v3_dayl_2015_hawaii.nc4
Blob name: daymet_v3_dayl_2015_na.nc4
Blob name: daymet_v3_dayl_2015_puertorico.nc4
Blob name: daymet_v3_dayl_2016_hawaii.nc4
Blob name: daymet_v3_dayl_2016_na.nc4
Blob name: daymet_v3_dayl_2016_puertorico.nc4
Blob name: daymet_v3_dayl_2017_hawaii.nc4
Blob name: daymet_v3_dayl_2017_na.nc4
Blob name: daymet_v3_dayl_2017_puertorico.nc4
Blob name: daymet_v3_dayl_2018_hawaii.nc4
Blob name: daymet_v3_dayl_2018_na.nc4
Blob name: daymet_v3_dayl_2018_puertorico.nc4
Blob name: daymet_v3_prcp_1980_hawaii.nc4
Blob name: daymet_v3_prcp_1980_na.nc4
Blob name: daymet_v3_prcp_1980_puertorico.nc4
Blob name: daymet_v3_prcp_1981_hawaii.nc4
Blob name: daymet_v3_prcp_1981_na.nc4
Blob name: daymet_v3_prcp_1981_puertorico.nc4
Blob name: daymet_v3_prcp_1982_hawaii.nc4
Blob name: daymet_v3_prcp_1982_na.nc4
Blob name: daymet_v3_prcp_1982_puertorico.nc4
Blob name: daymet_v3_prcp_1983_hawaii.nc4
Blob name: daymet_v3_prcp_1983_na.nc4
Blob name: daymet_v3_prcp_1983_puertorico.nc4
Blob name: daymet_v3_prcp_1984_hawaii.nc4
Blob name: daymet_v3_prcp_1984_na.nc4
Blob name: daymet_v3_prcp_1984_puertorico.nc4
Blob name: daymet_v3_prcp_1985_hawaii.nc4
Blob name: daymet_v3_prcp_1985_na.nc4
Blob name: daymet_v3_prcp_1985_puertorico.nc4
Blob name: daymet_v3_prcp_1986_hawaii.nc4
Blob name: daymet_v3_prcp_1986_na.nc4
Blob name: daymet_v3_prcp_1986_puertorico.nc4
Blob name: daymet_v3_prcp_1987_hawaii.nc4
Blob name: daymet_v3_prcp_1987_na.nc4
Blob name: daymet_v3_prcp_1987_puertorico.nc4
Blob name: daymet_v3_prcp_1988_hawaii.nc4
Blob name: daymet_v3_prcp_1988_na.nc4
Blob name: daymet_v3_prcp_1988_puertorico.nc4
Blob name: daymet_v3_prcp_1989_hawaii.nc4
Blob name: daymet_v3_prcp_1989_na.nc4
Blob name: daymet_v3_prcp_1989_puertorico.nc4
Blob name: daymet_v3_prcp_1990_hawaii.nc4
Blob name: daymet_v3_prcp_1990_na.nc4
Blob name: daymet_v3_prcp_1990_puertorico.nc4
Blob name: daymet_v3_prcp_1991_hawaii.nc4
Blob name: daymet_v3_prcp_1991_na.nc4
Blob name: daymet_v3_prcp_1991_puertorico.nc4
Blob name: daymet_v3_prcp_1992_hawaii.nc4
Blob name: daymet_v3_prcp_1992_na.nc4
Blob name: daymet_v3_prcp_1992_puertorico.nc4
Blob name: daymet_v3_prcp_1993_hawaii.nc4
Blob name: daymet_v3_prcp_1993_na.nc4
Blob name: daymet_v3_prcp_1993_puertorico.nc4
Blob name: daymet_v3_prcp_1994_hawaii.nc4
Blob name: daymet_v3_prcp_1994_na.nc4
Blob name: daymet_v3_prcp_1994_puertorico.nc4
Blob name: daymet_v3_prcp_1995_hawaii.nc4
Blob name: daymet_v3_prcp_1995_na.nc4
Blob name: daymet_v3_prcp_1995_puertorico.nc4
Blob name: daymet_v3_prcp_1996_hawaii.nc4
Blob name: daymet_v3_prcp_1996_na.nc4
Blob name: daymet_v3_prcp_1996_puertorico.nc4
Blob name: daymet_v3_prcp_1997_hawaii.nc4
Blob name: daymet_v3_prcp_1997_na.nc4
Blob name: daymet_v3_prcp_1997_puertorico.nc4
Blob name: daymet_v3_prcp_1998_hawaii.nc4
Blob name: daymet_v3_prcp_1998_na.nc4
Blob name: daymet_v3_prcp_1998_puertorico.nc4
Blob name: daymet_v3_prcp_1999_hawaii.nc4
Blob name: daymet_v3_prcp_1999_na.nc4
Blob name: daymet_v3_prcp_1999_puertorico.nc4
Blob name: daymet_v3_prcp_2000_hawaii.nc4
Blob name: daymet_v3_prcp_2000_na.nc4
Blob name: daymet_v3_prcp_2000_puertorico.nc4
Blob name: daymet_v3_prcp_2001_hawaii.nc4
Blob name: daymet_v3_prcp_2001_na.nc4
Blob name: daymet_v3_prcp_2001_puertorico.nc4
Blob name: daymet_v3_prcp_2002_hawaii.nc4
Blob name: daymet_v3_prcp_2002_na.nc4
Blob name: daymet_v3_prcp_2002_puertorico.nc4
Blob name: daymet_v3_prcp_2003_hawaii.nc4
Blob name: daymet_v3_prcp_2003_na.nc4
Blob name: daymet_v3_prcp_2003_puertorico.nc4
Blob name: daymet_v3_prcp_2004_hawaii.nc4
Blob name: daymet_v3_prcp_2004_na.nc4
Blob name: daymet_v3_prcp_2004_puertorico.nc4
Blob name: daymet_v3_prcp_2005_hawaii.nc4
Blob name: daymet_v3_prcp_2005_na.nc4
Blob name: daymet_v3_prcp_2005_puertorico.nc4
Blob name: daymet_v3_prcp_2006_hawaii.nc4
Blob name: daymet_v3_prcp_2006_na.nc4
Blob name: daymet_v3_prcp_2006_puertorico.nc4
Blob name: daymet_v3_prcp_2007_hawaii.nc4
Blob name: daymet_v3_prcp_2007_na.nc4
Blob name: daymet_v3_prcp_2007_puertorico.nc4
Blob name: daymet_v3_prcp_2008_hawaii.nc4
Blob name: daymet_v3_prcp_2008_na.nc4
Blob name: daymet_v3_prcp_2008_puertorico.nc4
Blob name: daymet_v3_prcp_2009_hawaii.nc4
Blob name: daymet_v3_prcp_2009_na.nc4
Blob name: daymet_v3_prcp_2009_puertorico.nc4
Blob name: daymet_v3_prcp_2010_hawaii.nc4
Blob name: daymet_v3_prcp_2010_na.nc4
Blob name: daymet_v3_prcp_2010_puertorico.nc4
Blob name: daymet_v3_prcp_2011_hawaii.nc4
Blob name: daymet_v3_prcp_2011_na.nc4
Blob name: daymet_v3_prcp_2011_puertorico.nc4
Blob name: daymet_v3_prcp_2012_hawaii.nc4
Blob name: daymet_v3_prcp_2012_na.nc4
Blob name: daymet_v3_prcp_2012_puertorico.nc4
Blob name: daymet_v3_prcp_2013_hawaii.nc4
Blob name: daymet_v3_prcp_2013_na.nc4
Blob name: daymet_v3_prcp_2013_puertorico.nc4
Blob name: daymet_v3_prcp_2014_hawaii.nc4
Blob name: daymet_v3_prcp_2014_na.nc4
Blob name: daymet_v3_prcp_2014_puertorico.nc4
Blob name: daymet_v3_prcp_2015_hawaii.nc4
Blob name: daymet_v3_prcp_2015_na.nc4
Blob name: daymet_v3_prcp_2015_puertorico.nc4
Blob name: daymet_v3_prcp_2016_hawaii.nc4
Blob name: daymet_v3_prcp_2016_na.nc4
Blob name: daymet_v3_prcp_2016_puertorico.nc4
Blob name: daymet_v3_prcp_2017_hawaii.nc4
Blob name: daymet_v3_prcp_2017_na.nc4
Blob name: daymet_v3_prcp_2017_puertorico.nc4
Blob name: daymet_v3_prcp_2018_hawaii.nc4
Blob name: daymet_v3_prcp_2018_na.nc4
Blob name: daymet_v3_prcp_2018_puertorico.nc4
Blob name: daymet_v3_srad_1980_hawaii.nc4
Blob name: daymet_v3_srad_1980_na.nc4
Blob name: daymet_v3_srad_1980_puertorico.nc4
Blob name: daymet_v3_srad_1981_hawaii.nc4
Blob name: daymet_v3_srad_1981_na.nc4
Blob name: daymet_v3_srad_1981_puertorico.nc4
Blob name: daymet_v3_srad_1982_hawaii.nc4
Blob name: daymet_v3_srad_1982_na.nc4
Blob name: daymet_v3_srad_1982_puertorico.nc4
Blob name: daymet_v3_srad_1983_hawaii.nc4
Blob name: daymet_v3_srad_1983_na.nc4
Blob name: daymet_v3_srad_1983_puertorico.nc4
Blob name: daymet_v3_srad_1984_hawaii.nc4
Blob name: daymet_v3_srad_1984_na.nc4
Blob name: daymet_v3_srad_1984_puertorico.nc4
Blob name: daymet_v3_srad_1985_hawaii.nc4
Blob name: daymet_v3_srad_1985_na.nc4
Blob name: daymet_v3_srad_1985_puertorico.nc4
Blob name: daymet_v3_srad_1986_hawaii.nc4
Blob name: daymet_v3_srad_1986_na.nc4
Blob name: daymet_v3_srad_1986_puertorico.nc4
Blob name: daymet_v3_srad_1987_hawaii.nc4
Blob name: daymet_v3_srad_1987_na.nc4
Blob name: daymet_v3_srad_1987_puertorico.nc4
Blob name: daymet_v3_srad_1988_hawaii.nc4
Blob name: daymet_v3_srad_1988_na.nc4
Blob name: daymet_v3_srad_1988_puertorico.nc4
Blob name: daymet_v3_srad_1989_hawaii.nc4
Blob name: daymet_v3_srad_1989_na.nc4
Blob name: daymet_v3_srad_1989_puertorico.nc4
Blob name: daymet_v3_srad_1990_hawaii.nc4
Blob name: daymet_v3_srad_1990_na.nc4
Blob name: daymet_v3_srad_1990_puertorico.nc4
Blob name: daymet_v3_srad_1991_hawaii.nc4
Blob name: daymet_v3_srad_1991_na.nc4
Blob name: daymet_v3_srad_1991_puertorico.nc4
Blob name: daymet_v3_srad_1992_hawaii.nc4
Blob name: daymet_v3_srad_1992_na.nc4
Blob name: daymet_v3_srad_1992_puertorico.nc4
Blob name: daymet_v3_srad_1993_hawaii.nc4
Blob name: daymet_v3_srad_1993_na.nc4
Blob name: daymet_v3_srad_1993_puertorico.nc4
Blob name: daymet_v3_srad_1994_hawaii.nc4
Blob name: daymet_v3_srad_1994_na.nc4
Blob name: daymet_v3_srad_1994_puertorico.nc4
Blob name: daymet_v3_srad_1995_hawaii.nc4
Blob name: daymet_v3_srad_1995_na.nc4
Blob name: daymet_v3_srad_1995_puertorico.nc4
Blob name: daymet_v3_srad_1996_hawaii.nc4
Blob name: daymet_v3_srad_1996_na.nc4
Blob name: daymet_v3_srad_1996_puertorico.nc4
Blob name: daymet_v3_srad_1997_hawaii.nc4
Blob name: daymet_v3_srad_1997_na.nc4
Blob name: daymet_v3_srad_1997_puertorico.nc4
Blob name: daymet_v3_srad_1998_hawaii.nc4
Blob name: daymet_v3_srad_1998_na.nc4
Blob name: daymet_v3_srad_1998_puertorico.nc4
Blob name: daymet_v3_srad_1999_hawaii.nc4
Blob name: daymet_v3_srad_1999_na.nc4
Blob name: daymet_v3_srad_1999_puertorico.nc4
Blob name: daymet_v3_srad_2000_hawaii.nc4
Blob name: daymet_v3_srad_2000_na.nc4
Blob name: daymet_v3_srad_2000_puertorico.nc4
Blob name: daymet_v3_srad_2001_hawaii.nc4
Blob name: daymet_v3_srad_2001_na.nc4
Blob name: daymet_v3_srad_2001_puertorico.nc4
Blob name: daymet_v3_srad_2002_hawaii.nc4
Blob name: daymet_v3_srad_2002_na.nc4
Blob name: daymet_v3_srad_2002_puertorico.nc4
Blob name: daymet_v3_srad_2003_hawaii.nc4
Blob name: daymet_v3_srad_2003_na.nc4
Blob name: daymet_v3_srad_2003_puertorico.nc4
Blob name: daymet_v3_srad_2004_hawaii.nc4
Blob name: daymet_v3_srad_2004_na.nc4
Blob name: daymet_v3_srad_2004_puertorico.nc4
Blob name: daymet_v3_srad_2005_hawaii.nc4
Blob name: daymet_v3_srad_2005_na.nc4
Blob name: daymet_v3_srad_2005_puertorico.nc4
Blob name: daymet_v3_srad_2006_hawaii.nc4
Blob name: daymet_v3_srad_2006_na.nc4
Blob name: daymet_v3_srad_2006_puertorico.nc4
Blob name: daymet_v3_srad_2007_hawaii.nc4
Blob name: daymet_v3_srad_2007_na.nc4
Blob name: daymet_v3_srad_2007_puertorico.nc4
Blob name: daymet_v3_srad_2008_hawaii.nc4
Blob name: daymet_v3_srad_2008_na.nc4
Blob name: daymet_v3_srad_2008_puertorico.nc4
Blob name: daymet_v3_srad_2009_hawaii.nc4
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Blob name: daymet_v3_vp_1980_hawaii.nc4
Blob name: daymet_v3_vp_1980_na.nc4
Blob name: daymet_v3_vp_1980_puertorico.nc4
Blob name: daymet_v3_vp_1981_hawaii.nc4
Blob name: daymet_v3_vp_1981_na.nc4
Blob name: daymet_v3_vp_1981_puertorico.nc4
Blob name: daymet_v3_vp_1982_hawaii.nc4
Blob name: daymet_v3_vp_1982_na.nc4
Blob name: daymet_v3_vp_1982_puertorico.nc4
Blob name: daymet_v3_vp_1983_hawaii.nc4
Blob name: daymet_v3_vp_1983_na.nc4
Blob name: daymet_v3_vp_1983_puertorico.nc4
Blob name: daymet_v3_vp_1984_hawaii.nc4
Blob name: daymet_v3_vp_1984_na.nc4
Blob name: daymet_v3_vp_1984_puertorico.nc4
Blob name: daymet_v3_vp_1985_hawaii.nc4
Blob name: daymet_v3_vp_1985_na.nc4
Blob name: daymet_v3_vp_1985_puertorico.nc4
Blob name: daymet_v3_vp_1986_hawaii.nc4
Blob name: daymet_v3_vp_1986_na.nc4
Blob name: daymet_v3_vp_1986_puertorico.nc4
Blob name: daymet_v3_vp_1987_hawaii.nc4
Blob name: daymet_v3_vp_1987_na.nc4
Blob name: daymet_v3_vp_1987_puertorico.nc4
Blob name: daymet_v3_vp_1988_hawaii.nc4
Blob name: daymet_v3_vp_1988_na.nc4
Blob name: daymet_v3_vp_1988_puertorico.nc4
Blob name: daymet_v3_vp_1989_hawaii.nc4
Blob name: daymet_v3_vp_1989_na.nc4
Blob name: daymet_v3_vp_1989_puertorico.nc4
Blob name: daymet_v3_vp_1990_hawaii.nc4
Blob name: daymet_v3_vp_1990_na.nc4
Blob name: daymet_v3_vp_1990_puertorico.nc4
Blob name: daymet_v3_vp_1991_hawaii.nc4
Blob name: daymet_v3_vp_1991_na.nc4
Blob name: daymet_v3_vp_1991_puertorico.nc4
Blob name: daymet_v3_vp_1992_hawaii.nc4
Blob name: daymet_v3_vp_1992_na.nc4
Blob name: daymet_v3_vp_1992_puertorico.nc4
Blob name: daymet_v3_vp_1993_hawaii.nc4
Blob name: daymet_v3_vp_1993_na.nc4
Blob name: daymet_v3_vp_1993_puertorico.nc4
Blob name: daymet_v3_vp_1994_hawaii.nc4
Blob name: daymet_v3_vp_1994_na.nc4
Blob name: daymet_v3_vp_1994_puertorico.nc4
Blob name: daymet_v3_vp_1995_hawaii.nc4
Blob name: daymet_v3_vp_1995_na.nc4
Blob name: daymet_v3_vp_1995_puertorico.nc4
Blob name: daymet_v3_vp_1996_hawaii.nc4
Blob name: daymet_v3_vp_1996_na.nc4
Blob name: daymet_v3_vp_1996_puertorico.nc4
Blob name: daymet_v3_vp_1997_hawaii.nc4
Blob name: daymet_v3_vp_1997_na.nc4
Blob name: daymet_v3_vp_1997_puertorico.nc4
Blob name: daymet_v3_vp_1998_hawaii.nc4
Blob name: daymet_v3_vp_1998_na.nc4
Blob name: daymet_v3_vp_1998_puertorico.nc4
Blob name: daymet_v3_vp_1999_hawaii.nc4
Blob name: daymet_v3_vp_1999_na.nc4
Blob name: daymet_v3_vp_1999_puertorico.nc4
Blob name: daymet_v3_vp_2000_hawaii.nc4
Blob name: daymet_v3_vp_2000_na.nc4
Blob name: daymet_v3_vp_2000_puertorico.nc4
Blob name: daymet_v3_vp_2001_hawaii.nc4
Blob name: daymet_v3_vp_2001_na.nc4
Blob name: daymet_v3_vp_2001_puertorico.nc4
Blob name: daymet_v3_vp_2002_hawaii.nc4
Blob name: daymet_v3_vp_2002_na.nc4
Blob name: daymet_v3_vp_2002_puertorico.nc4
Blob name: daymet_v3_vp_2003_hawaii.nc4
Blob name: daymet_v3_vp_2003_na.nc4
Blob name: daymet_v3_vp_2003_puertorico.nc4
Blob name: daymet_v3_vp_2004_hawaii.nc4
Blob name: daymet_v3_vp_2004_na.nc4
Blob name: daymet_v3_vp_2004_puertorico.nc4
Blob name: daymet_v3_vp_2005_hawaii.nc4
Blob name: daymet_v3_vp_2005_na.nc4
Blob name: daymet_v3_vp_2005_puertorico.nc4
Blob name: daymet_v3_vp_2006_hawaii.nc4
Blob name: daymet_v3_vp_2006_na.nc4
Blob name: daymet_v3_vp_2006_puertorico.nc4
Blob name: daymet_v3_vp_2007_hawaii.nc4
Blob name: daymet_v3_vp_2007_na.nc4
Blob name: daymet_v3_vp_2007_puertorico.nc4
Blob name: daymet_v3_vp_2008_hawaii.nc4
Blob name: daymet_v3_vp_2008_na.nc4
Blob name: daymet_v3_vp_2008_puertorico.nc4
Blob name: daymet_v3_vp_2009_hawaii.nc4
Blob name: daymet_v3_vp_2009_na.nc4
Blob name: daymet_v3_vp_2009_puertorico.nc4
Blob name: daymet_v3_vp_2010_hawaii.nc4
Blob name: daymet_v3_vp_2010_na.nc4
Blob name: daymet_v3_vp_2010_puertorico.nc4
Blob name: daymet_v3_vp_2011_hawaii.nc4
Blob name: daymet_v3_vp_2011_na.nc4
Blob name: daymet_v3_vp_2011_puertorico.nc4
Blob name: daymet_v3_vp_2012_hawaii.nc4
Blob name: daymet_v3_vp_2012_na.nc4
Blob name: daymet_v3_vp_2012_puertorico.nc4
Blob name: daymet_v3_vp_2013_hawaii.nc4
Blob name: daymet_v3_vp_2013_na.nc4
Blob name: daymet_v3_vp_2013_puertorico.nc4
Blob name: daymet_v3_vp_2014_hawaii.nc4
Blob name: daymet_v3_vp_2014_na.nc4
Blob name: daymet_v3_vp_2014_puertorico.nc4
Blob name: daymet_v3_vp_2015_hawaii.nc4
Blob name: daymet_v3_vp_2015_na.nc4
Blob name: daymet_v3_vp_2015_puertorico.nc4
Blob name: daymet_v3_vp_2016_hawaii.nc4
Blob name: daymet_v3_vp_2016_na.nc4
Blob name: daymet_v3_vp_2016_puertorico.nc4
Blob name: daymet_v3_vp_2017_hawaii.nc4
Blob name: daymet_v3_vp_2017_na.nc4
Blob name: daymet_v3_vp_2017_puertorico.nc4
Blob name: daymet_v3_vp_2018_hawaii.nc4
Blob name: daymet_v3_vp_2018_na.nc4
Blob name: daymet_v3_vp_2018_puertorico.nc4

Download a specific file from Azure blob storage

This code shows how to download a specific file from Azure blob storage into the current directory. It uses the example file daymet_v3_tmax_1980_hawaii.nc4, but you can change this as described below.

The following types of data are available: minimum temperature (tmin), maximum temperature (tmax), precipitation (prcp), shortwave radiation (srad), vapor pressure (vp), snow water equivalent (swe), and day length (dayl).

In [3]:
# Choose your variable.  The following are available: dayl, prcp, srad, swe, tmax, tmin, vp. 
variable = 'tmax';

# Choose your year.  Currently, we have data from 1980 to 2018.  
year = '2017';

# Choose your location.  The following are available: hawaii, na, puertorico.  The value 'na' stands for North America.  
# The North American datasets are much bigger than the data for Hawaii or Puerto Rico, so when exploring the data, I recommend using one of the latter options instead of all of North America.  
location = 'hawaii';

filename = 'daymet_v3_' + variable + '_' + year + '_' + location + '.nc4';
url = 'https://daymet.blob.core.windows.net/daymetv3-raw/' + filename;

print('Downloading from {}'.format(url))
urllib.request.urlretrieve(url, filename)  
print('...done.')
Downloading from https://daymet.blob.core.windows.net/daymetv3-raw/daymet_v3_tmax_2017_hawaii.nc4
...done.

Exploring the NetCDF file format

This shows more information about the NetCDF file format and how to access the data within.

In [4]:
daymet_ds = Dataset(filename, 'r') # reads the netCDF file
print('netCDF file format:' + ' ' + daymet_ds.file_format)  # displays the netCDF file format

print( '\n')
print( 'netCDF dimensions:')
print( daymet_ds.dimensions.keys()) # python dictionary calls allow viewing of the netCDF file's dimensions
print( '\n')
print( 'time dimension:')
print( daymet_ds.dimensions['time'])  # view specifics of the time dimension
print( 'x dimension:')
print(daymet_ds.dimensions['x'])
x_size = daymet_ds.dimensions['x'].size;
print( 'y dimension:')
print(daymet_ds.dimensions['y'])
y_size = daymet_ds.dimensions['y'].size;

print( 'netCDF variables:')
print( daymet_ds.variables.keys())  # View the netCDF file's variables 
print( '\n')
print( variable + ' variable and attributes:')
print( daymet_ds.variables[variable]) # view the variable and its associated attributes
netCDF file format: NETCDF4_CLASSIC


netCDF dimensions:
odict_keys(['x', 'y', 'time', 'nv'])


time dimension:
<class 'netCDF4._netCDF4.Dimension'> (unlimited): name = 'time', size = 365

x dimension:
<class 'netCDF4._netCDF4.Dimension'>: name = 'x', size = 284

y dimension:
<class 'netCDF4._netCDF4.Dimension'>: name = 'y', size = 584

netCDF variables:
odict_keys(['x', 'y', 'lat', 'lon', 'time', 'yearday', 'time_bnds', 'lambert_conformal_conic', 'tmax'])


tmax variable and attributes:
<class 'netCDF4._netCDF4.Variable'>
float32 tmax(time, y, x)
    _FillValue: -9999.0
    long_name: daily maximum temperature
    units: degrees C
    missing_value: -9999.0
    coordinates: lat lon
    grid_mapping: lambert_conformal_conic
    cell_methods: area: mean time: maximum
unlimited dimensions: time
current shape = (365, 584, 284)
filling on

Using the data

Let's calculate the average/mean for the value that we care about, and then visualize this on a map. If you have kept the defaults above, this is the maximum temperature.

In [5]:
# Read the whole array
factor = daymet_ds.variables[variable][:]

# Calculate mean
factor_mean_comp = np.mean(factor, axis=0, keepdims=True)

# Decrease a dimension in order to plot
factor_mean_comp.shape=(y_size,x_size)

# Plot
%matplotlib inline
plt.rcParams["figure.figsize"] = (25,9)
imgplot = plt.imshow(factor_mean_comp, cmap='rainbow')
plt.colorbar()
Out[5]:
<matplotlib.colorbar.Colorbar at 0x1d84a04d4a8>

Time Conversion

Here is an example of how to do time conversion to a more human-readable format.

In [6]:
time = daymet_ds.variables['time'][:] # read time variable
time_unit = daymet_ds.variables['time'].getncattr('units') # first read the 'units' attributes from the variable time
time_cal = daymet_ds.variables['time'].getncattr('calendar') # read calendar type
local_time = nc.num2date(time, units=time_unit, calendar=time_cal) # convert time

print("Original time %s is now converted as %s" % (time[0], local_time[0])) # check conversion
Original time 13515.5 is now converted as 2017-01-01 12:00:00