pvlib.forecast.RAP¶
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class
pvlib.forecast.
RAP
(resolution='20', set_type='best')[source]¶ Subclass of the ForecastModel class representing RAP forecast model.
Model data corresponds to Rapid Refresh CONUS 20km resolution forecasts.
Parameters: resolution: string or int
The model resolution, either ‘20’ or ‘40’ (km)
set_type: string
Type of model to pull data from.
Attributes
dataframe_variables: list Common variables present in the final set of data. model: string Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. variables: dict Defines the variables to obtain from the weather model and how they should be renamed to common variable names. units: dict Dictionary containing the units of the standard variables and the model specific variables. Methods
__init__
([resolution, set_type])cloud_cover_to_ghi_linear
(cloud_cover, ghi_clear)Convert cloud cover to GHI using a linear relationship. cloud_cover_to_irradiance
(cloud_cover[, how])Convert cloud cover to irradiance. cloud_cover_to_irradiance_clearsky_scaling
(...)Estimates irradiance from cloud cover in the following steps: cloud_cover_to_irradiance_liujordan
(...)Estimates irradiance from cloud cover in the following steps: cloud_cover_to_transmittance_linear
(cloud_cover)Convert cloud cover to atmospheric transmittance using a linear model. get_data
(latitude, longitude, start, end[, ...])Submits a query to the UNIDATA servers using Siphon NCSS and converts the netcdf data to a pandas DataFrame. get_processed_data
(\*args, \*\*kwargs)Get and process forecast data. gust_to_speed
(data[, scaling])Computes standard wind speed from gust. isobaric_to_ambient_temperature
(data)Calculates temperature from isobaric temperature. kelvin_to_celsius
(temperature)Converts Kelvin to celsius. process_data
(data[, cloud_cover])Defines the steps needed to convert raw forecast data into processed forecast data. rename
(data[, variables])Renames the columns according the variable mapping. set_dataset
()Retrieves the designated dataset, creates NCSS object, and creates a NCSS query object. set_location
(time, latitude, longitude)Sets the location for the query. set_query_latlon
()Sets the NCSS query location latitude and longitude. set_time
(time)Converts time data into a pandas date object. uv_to_speed
(data)Computes wind speed from wind components. Attributes
access_url_key
base_tds_url
catalog_url
data_format
units
vert_level