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Create open meteo api nicam16_8s forecasts.md
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‎docs/open meteo api nicam16_8s forecasts.md‎

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---
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title: Open-Meteo API NICAM16_8S Climate Reanalysis & Forecasts
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---
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[***Return To WxData Wiki Main Page***](https://github.com/edrewitz/WxData/wiki)
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# Open-Meteo API NICAM16_8S Climate Reanalysis & Forecasts
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```python
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def nicam16_8s(latitude,
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longitude,
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start_date='1950-01-01',
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end_date='2050-12-31',
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temperature_units='fahrenheit',
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wind_speed_units='mph',
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precipitation_units='inch',
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variables=['temperature_2m_max',
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'temperature_2m_mean',
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'temperature_2m_min',
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'wind_speed_10m_mean',
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'wind_speed_10m_max',
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'cloud_cover_mean',
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'shortwave_radiation_sum',
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'relative_humidity_2m_mean',
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'dew_point_2m_mean',
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'precipitation_sum',
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'rain_sum',
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'snowfall_sum',
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'pressure_msl_mean',
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'relative_humidity_2m_max',
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'relative_humidity_2m_min',
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'dew_point_2m_min',
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'dew_point_2m_max'],
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proxies=None,
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to_csv=False,
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path=f"Open Meteo Data/Climate/NICAM16_8S",
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filename=f"NICAM16_8S.csv"):
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```
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This function retrieves daily NICAM16_8S climate data from the Open-Meteo API for a given point of latitude/longitude.
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Required Arguments:
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1) latitude (Float or Integer) - Latitude in decimal degrees.
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2) longitude (Float or Integer) - Longitude in decimal degrees.
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Optional Arguments:
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1) start_date (String) - Default='1950-01-01'. Start date in the format of 'YYYY-mm-dd'. Record begins at 1950-01-01.
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2) end_date (String) - Default='2050-12-31'. End date in the format of 'YYYY-mm-dd'. Record ends at 2050-12-31.
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3) temperature_units (String) - Default='fahrenheit'. The units for temperature.
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Valid Temperature Units
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-----------------------
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1) fahrenheit
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2) celsius
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4) wind_speed_units (String) - Default='mph'. The units for wind speed.
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Valid Wind Speed Units
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----------------------
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1) mph - miles per hour
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2) kmh - kilometers per hour
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3) ms - meters per second
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4) kn - knots
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5) precipitation_units (String) - Default='inch'. The units for precipitation amounts.
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Valid Precipitation Units
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-------------------------
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1) inch - inches
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2) mm - millimeters
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6) variables (String List) - Default=['temperature_2m_max',
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'temperature_2m_mean',
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'temperature_2m_min',
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'wind_speed_10m_mean',
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'wind_speed_10m_max',
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'cloud_cover_mean',
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'shortwave_radiation_sum',
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'relative_humidity_2m_mean',
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'dew_point_2m_mean',
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'precipitation_sum',
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'rain_sum',
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'snowfall_sum',
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'pressure_msl_mean',
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'relative_humidity_2m_max',
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'relative_humidity_2m_min',
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'dew_point_2m_min',
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'dew_point_2m_max']
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7) proxies (dict or None) - Default=None. If the user is using a proxy server, the user must change the following:
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```python
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proxies=None ---> proxies={
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'http':'http://your-proxy-address:port',
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'https':'http://your-proxy-address:port'
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}
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```
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8) to_csv (Boolean) - Default=False. When set to True the data will be saved as a CSV file to {path} with {filename}
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9) path (String) - The path where the CSV file is saved to.
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10) filename (String) - The filename for the CSV file.
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**Returns**
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A `Pandas.DataFrame` of the NICAM16_8S time series for point latitude/longitude.

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