svalbard 0.2.1

Easy time handling in the context of weather forecasting

svalbard

Easy time handling in the context of weather forecasting

Concepts

ForecastTime integrates the concept of two central notions of time in a weather forecasting scenario.

anatime is the time when a numerical weather prediction model is initialized.

validtime is the time when the weather forecast is to be validated towards observations.

Between these times is a time interval which ForecastTime keeps track of in seconds, but since hours is a more common time unit the interface of this time interval is given in hours

fchours denotes that time interval. The time stamps are time zone naive.

Usage

Initializing

The user can choose to initialize the class with no parameters and set time attributes with setters like this:

from svalbard import ForecastTime
ft=ForecastTime()
ft.set_anatime('2018122800')
ft.set_fchours(24)

The same can be achieved with

from svalbard import ForecastTime
ft=ForecastTime(anatime='2018122800',fchours=24)

Or if you want to provide validtime instead of fchours:

from svalbard import ForecastTime
ft=ForecastTime(anatime='2018122800',validtime='2018122900')

Updating with consistency checks

ForecastTime has getters and setters for anatime, validtime and fchours. The setters make sure that there is consistency among those three. If one of them is updated, one of the others also need to be updated to maintain consistency.

If fchours is updated while anatime and validtime is set, the default setting keeps the anatime and updates validtime.

from svalbard import ForecastTime
ft=ForecastTime(anatime='2018122800',fchours=24)
ft.get_validtime()
datetime.datetime(2018, 12, 29, 0, 0)
ft.set_fchours(48)
ft.get_validtime()
datetime.datetime(2018, 12, 30, 0, 0)

However if you want to update anatime you can do

from svalbard import ForecastTime
ft=ForecastTime(anatime='2018122800',fchours=24)
ft.set_fchours(48,keep_anatime=False)
ft.get_anatime()
datetime.datetime(2018, 12, 27, 0, 0)

Optional datetime format guessing

You may choose to initialize datetimes with strings or with python datetime objects.

When you set datetimes with strings ForecastTime needs to figure out the string formatting. This is achieved by trying format strings from a list. The first formatting that produces a valid datetime object without trowing an error is chosen. This may seem a bit sloppy, but the list of string formattings to try may be be provided by the user and it may contain only one format string which would eliminate the guesswork. The list is there for convenience.

This is the list that will be used if the user chooses to go with the defaults.

somedatetimeformats=[
    '%Y%m%d%H',
    '%Y%m%d%H',
    '%Y%m%d %H',
    '%Y%m%d%H%M',
    '%Y%m%d%H%M%S',
    '%Y-%m-%d %H',
    '%Y-%m-%d',
    '%Y-%m-%d %H:%M:%S',
    '%Y-%m-%d %H:%M:%SZ',
    '%Y-%m-%dT%H:%M:%SZ',
    '%Y-%m-%d %H%M%SZ',
    '%m-%d-%Y %H:%M:%S'
]

What actually happens is that, if datetimes are provided as strings, the function guess_forecast_datetime_from_string is called. This function can be used separatly.

from svalbard import guess_forecast_datetime_from_string,somedatetimeformats

guess_forecast_datetime_from_string('2010-01-01 12',datetimeformats=somedatetimeformats,verbose=False)

# Returns
[(5, '%Y-%m-%d %H', datetime.datetime(2010, 1, 1, 12, 0))]

guess_forecast_datetime_from_string returns a list of triplets, (index,format string,datetime object).

String interpolation in file names

If you want to download some real world weather forecasts, they often come in files where anatime, validtime or fchours is encoded in the filename.

ForecastTime to the rescue:

from svalbard import ForecastTime
from datetime import datetime
gfs_url_template='http://www.ftp.ncep.noaa.gov/data/nccf/com/gfs/prod/gfs.{anatime:%Y%m%d%H}/gfs.t{anatime:%H}z.pgrb2.0p25.f{fchours:03d}'
anatime=datetime.now().strftime('%Y%m%d00')
ft = ForecastTime(anatime=anatime)
for h in range(0,12,3):
  ft.set_fchours(h)
  print(ft)
  print( gfs_url_template.format(**ft.get_dict()) )

ForecastTime,anatime:2018-12-28 00:00:00,validtime:2018-12-28 00:00:00,fchours:0

http://www.ftp.ncep.noaa.gov/data/nccf/com/gfs/prod/gfs.2018122800/gfs.t12z.pgrb2.0p25.f000

ForecastTime,anatime:2018-12-28 00:00:00,validtime:2018-12-28 03:00:00,fchours:3

http://www.ftp.ncep.noaa.gov/data/nccf/com/gfs/prod/gfs.2018122800/gfs.t12z.pgrb2.0p25.f003

ForecastTime,anatime:2018-12-28 00:00:00,validtime:2018-12-28 06:00:00,fchours:6

http://www.ftp.ncep.noaa.gov/data/nccf/com/gfs/prod/gfs.2018122800/gfs.t12z.pgrb2.0p25.f006

ForecastTime,anatime:2018-12-28 00:00:00,validtime:2018-12-28 09:00:00,fchours:9

http://www.ftp.ncep.noaa.gov/data/nccf/com/gfs/prod/gfs.2018122800/gfs.t12z.pgrb2.0p25.f009