NBM NBH
The NBH report is a 25-hour forecast based on the National Blend of Models and is only valid for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. Reports are in 1-hour increments and are published near the top of every hour.
class avwx.Nbh(code: str)
Class to handle NBM NBH report data
Below is typical usage for fetching and pulling NBH data for KJFK.
>>> from avwx import Nbh
>>> kjfk = Nbh("KJFK")
>>> kjfk.station.name
'John F Kennedy International Airport'
>>> kjfk.update()
True
>>> kjfk.last_updated
datetime.datetime(2020, 7, 26, 20, 37, 42, 352220, tzinfo=datetime.timezone.utc)
>>> print(kjfk.raw)
"""
KJFK NBM V3.2 NBH GUIDANCE 7/26/2020 1900 UTC
UTC 20 21 22 23 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20
TMP 90 89 88 87 85 84 82 81 81 80 79 78 77 76 76 78 81 84 87 89 90 91 92 92 93
DPT 69 68 66 66 65 65 65 66 66 66 66 67 67 66 67 67 67 67 67 68 67 67 67 67 67
SKY 9 14 41 58 61 71 66 55 39 37 39 43 40 38 29 21 19 26 24 27 22 14 22 26 26
WDR 22 22 23 24 25 25 25 25 25 25 25 26 26 26 26 26 26 26 25 24 24 23 23 22 23
WSP 10 9 9 8 7 6 5 5 5 6 5 5 5 5 4 4 5 5 7 8 8 9 10 10 10
GST 17 16 16 15 14 12 11 12 12 12 12 11 11 9 9 9 9 10 11 13 14 15 16 17 17
P01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
P06 0 0 0
Q01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DUR 0
T01 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PZR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PSN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PPL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PRA 100100100100100100100100100100100100100100100100100100100100100100100100100
S01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SLV 99101102103105105105106105104106104104104104103102100 99 98 98 99100101102
I01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
CIG 888888888360360350340888888888888888888888888888888888888888888888888888888
VIS 110120120140140130120120120120110110110110110120130140150150150150150150150
LCB 80 60999999999999999999999999999999999999999999999999999999999999999999999
MHT 26 26 20 19 8 7 6 4 4 5 5 5 6 4 5 6 6 11 20 27 37 39 43 39 31
TWD 24 26 26 27 26 26 24 23 24 26 26 26 27 27 28 27 27 27 27 26 26 26 25 25 24
TWS 15 14 14 13 11 11 11 10 11 11 10 11 10 8 8 7 8 9 12 13 14 15 17 17 16
HID 6 5 6
SOL 710500430250110 0 30 0 0 0 0 0 0 0 30160330500650760830870870850720
"""
>>> len(kjfk.data.forecast)
25
>>> kjfk.data.forecast[0].snow_level
Number(repr='99', value=9900, spoken='nine nine hundred')
>>> print(kjfk.data.forecast[0].solar_radiation.value, kjfk.units.solar_radiation)
710 W/m2
The parse and from_report methods can parse a report string if you want to override the normal fetching process.
async async_update(timeout: int = 10) -> bool
Async updates report data by fetching and parsing the report
Returns True if a new report is available, else False
code: str
Station ident code the report was initialized with
data: avwx.structs.NbhData = None
NbhData dataclass of parsed data values and units. Parsed on update()
from_report(report: str) -> avwx.Nbh
Returns an updated report object based on an existing report
issued: date = None
UTC date object when the report was issued
last_updated: datetime.datetime = None
UTC Datetime object when the report was last updated
parse(report: str) -> bool
Updates report data by parsing a given report
raw: str = None
The unparsed report string. Fetched on update()
service: avwx.service.Service
Service object used to fetch the report string
source: str = None
Source URL root used to pull the current report data
station: avwx.Station
Provides basic station info
units: avwx.structs.Units
Units inferred from the station location and report contents
update(timeout: int = 10) -> bool
Updates report data by fetching and parsing the report
Returns True if a new report is available, else False
class avwx.structs.NbhData
forecast: List[avwx.structs.NbhPeriod]
raw: str
station: str
time: avwx.structs.Timestamp
class avwx.structs.NbhPeriod
ceiling: avwx.structs.Number
cloud_base: avwx.structs.Number
dewpoint: avwx.structs.Number
freezing_precip: avwx.structs.Number
haines: List[avwx.structs.Number]
icing_amount_1: avwx.structs.Number
mixing_height: avwx.structs.Number
precip_amount_1: avwx.structs.Number
precip_chance_1: avwx.structs.Number
precip_chance_6: avwx.structs.Number
precip_duration: avwx.structs.Number
rain: avwx.structs.Number
sky_cover: avwx.structs.Number
sleet: avwx.structs.Number
snow_amount_1: avwx.structs.Number
snow_level: avwx.structs.Number
snow: avwx.structs.Number
solar_radiation: avwx.structs.Number
temperature: avwx.structs.Number
thunderstorm_1: avwx.structs.Number
time: avwx.structs.Timestamp
transport_wind_direction: avwx.structs.Number
transport_wind_speed: avwx.structs.Number
visibility: avwx.structs.Number
wave_height: avwx.structs.Number
wind_direction: avwx.structs.Number
wind_gust: avwx.structs.Number
wind_speed: avwx.structs.Number