tsgettoolbox.tsgettoolbox.fawn¶
- tsgettoolbox.tsgettoolbox.fawn(stations, variables, reportType, start_date=datetime.datetime(1998, 1, 1, 0, 0), end_date=datetime.datetime(2024, 12, 14, 23, 8, 27, 638759))¶
US/FL:station::15T,H,D,M:Florida Automated Weather Network (FAWN)
- Parameters:
stations (str) –
At the command line can supply a comma separated list or codes or names. Using the Python API needs to be a Python list.
The current complete list of FAWN stations.
260 Alachua
320 Apopka
490 Arcadia
304 Avalon
350 Balm
410 ‘Belle Glade’
230 Bronson
310 Brooksville
150 Carrabelle
250 Citra
405 Clewiston
311 ‘Dade City’
120 ‘Defuniak Springs’
360 Dover
420 ‘Fort Lauderdale’
390 Frostproof
430 ‘Fort Pierce’
270 Hastings
440 Homestead
450 Immokalee
371 ‘Indian River’
110 Jay
241 Joshua
340 Kenansville
330 ‘Lake Alfred’
275 Lecanto
170 ‘Live Oak’
180 Macclenny
130 Marianna
121 May
160 Monticello
480 ‘North Port’
280 Ocklawaha
303 Okahumpka
455 Okeechobee
380 Ona
460 Palmdale
290 Pierson
240 Putnam Hall
140 Quincy
470 Sebring
435 ‘St. Lucie West’
302 Umatilla
425 Wellington
variables (str) –
At the command line can supply a comma separated list of variable names. Using the Python API needs to be a Python list.
The current complete list of FAWN variables are:
Name
Description
Units
AirTemp1
Air temperature at 60 cm
degF
AirTemp9
Air temperature at 2 m
degF
AirTemp15
Air temperature at 10 m
degF
SoilTempAvg
Soil temperature at -10 cm
degF
DewPoint
Dew point
degF
WetBulb
Wet bulb temperature
degF
RelHumAvg
Relative humidity
Rainfall
Rainfall
in
TotalRad
Total solar radiation
w/m2
WindSpeed
Wind speed
mph
WindDir
Wind direction
degree
ET
Reference ET Penman-Monteith
in
BP
Barometric pressure at 2 m
mb
The ‘ET’ variable is only available when reportType is “daily” or “monthly”.
reportType (str) – Interval of the data. Can be one of “all” for 15 minute, “hourly”, “daily”, or “monthly”.
start_date (str) –
[optional, defaults to first date in time-series, input filter]
The start_date of the series in ISOdatetime format, or ‘None’ for beginning.
end_date (str) –
[optional, defaults to last date in time-series, input filter]
The end_date of the series in ISOdatetime format, or ‘None’ for end.