avwx.forecast.gfs
GFS MOS MAV
The MAV report is a short-range forecast (6-72 hours) based on the Global Forecast System model output and is only valid for ICAO stations in the United States, Puerto Rico, and US Virgin Islands. Reports are published every six hours starting at 0000 UTC.
GFS MOS MEX
The MEX report is an extended-range forecast (24-192 hours) based on the Global Forecast System model output and is only valid for ICAO stations in the United States, Puerto Rico, and US Virgin Islands. Reports are published at 0000 and 1200 UTC.
1""" 2# GFS MOS MAV 3 4The [MAV report](https://www.nws.noaa.gov/mdl/synop/mavcard.php) is a 5short-range forecast (6-72 hours) based on the [Global Forecast 6System](https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs) 7model output and is only valid for ICAO stations in the United States, Puerto 8Rico, and US Virgin Islands. Reports are published every six hours starting at 90000 UTC. 10 11# GFS MOS MEX 12 13The [MEX report](https://www.nws.noaa.gov/mdl/synop/mexcard.php) is an 14extended-range forecast (24-192 hours) based on the [Global Forecast 15System](https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs) 16model output and is only valid for ICAO stations in the United States, Puerto 17Rico, and US Virgin Islands. Reports are published at 0000 and 1200 UTC. 18""" 19 20# stdlib 21from __future__ import annotations 22 23# module 24import avwx.static.gfs as static 25from avwx.forecast.base import ( 26 Forecast, 27 _code, 28 _direction, 29 _find_time_periods, 30 _init_parse, 31 _numbers, 32 _parse_lines, 33 _split_line, 34 _trim_lines, 35) 36from avwx.parsing import core 37from avwx.service import NoaaGfs 38from avwx.structs import ( 39 MavData, 40 MavPeriod, 41 MexData, 42 MexPeriod, 43 Number, 44 Units, 45) 46 47 48class Mav(Forecast): 49 ''' 50 The Mav class offers an object-oriented approach to managing MOS MAV data 51 for a single station. 52 53 Below is typical usage for fetching and pulling MAV data for KJFK. 54 55 ```python 56 >>> from avwx import Mav 57 >>> kjfk = Mav("KJFK") 58 >>> kjfk.station.name 59 'John F Kennedy International Airport' 60 >>> kjfk.update() 61 True 62 >>> kjfk.last_updated 63 datetime.datetime(2020, 4, 20, 1, 7, 7, 393270, tzinfo=datetime.timezone.utc) 64 >>> print(kjfk.raw) 65 """ 66 KJFK GFS MOS GUIDANCE 4/19/2020 1800 UTC 67 DT /APR 20 /APR 21 /APR 22 68 HR 00 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 00 03 06 12 18 69 N/X 46 58 44 58 37 70 TMP 53 52 50 48 48 50 54 56 51 49 47 46 49 53 55 52 47 45 43 41 54 71 DPT 43 41 37 35 33 30 28 27 28 30 32 34 37 39 37 32 26 23 22 18 14 72 CLD OV OV OV OV OV OV OV SC FW CL CL FW BK OV OV OV BK FW CL FW SC 73 WDR 20 22 26 35 02 03 02 02 34 19 20 18 18 18 18 23 29 30 29 29 28 74 WSP 20 13 07 08 11 14 14 11 05 03 04 06 11 19 25 21 22 25 20 19 22 75 P06 0 12 9 1 0 1 29 68 8 2 0 76 P12 12 9 2 69 15 77 Q06 0 0 0 0 0 0 0 2 0 0 0 78 Q12 0 0 0 2 0 79 T06 0/ 4 1/ 0 1/ 0 0/ 0 0/ 0 0/ 0 5/ 3 13/13 0/ 0 0/ 8 80 T12 1/ 2 0/ 0 9/ 6 14/13 1/ 8 81 POZ 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 82 POS 0 0 0 0 0 2 0 6 6 9 9 0 16 8 0 4 4 47 60 67 42 83 TYP R R R R R R R R R R R R R R R R R R S S R 84 SNW 0 0 85 CIG 7 7 7 7 6 6 6 8 8 8 8 8 8 6 6 6 7 8 8 8 8 86 VIS 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7 87 OBV N N N N N N N N N N N N N N N N N N N N N 88 """ 89 >>> len(kjfk.data.forecast) 90 21 91 >>> kjfk.data.forecast[0].ceiling 92 Code(repr='7', value='6600 - 12,000 feet') 93 ``` 94 95 The `parse` and `from_report` methods can parse a report string if you want 96 to override the normal fetching process. 97 ''' 98 99 report_type = "mav" 100 _service_class = NoaaGfs # type: ignore 101 102 async def _post_update(self) -> None: 103 if self.raw is None: 104 return 105 self.data = parse_mav(self.raw) 106 self.units = Units(**static.UNITS) 107 108 def _post_parse(self) -> None: 109 if self.raw is None: 110 return 111 self.data = parse_mav(self.raw) 112 self.units = Units(**static.UNITS) 113 114 115class Mex(Forecast): 116 ''' 117 The Mex class offers an object-oriented approach to managing MOS MEX data 118 for a single station. 119 120 Below is typical usage for fetching and pulling MAV data for KJFK. 121 122 ```python 123 >>> from avwx import Mex 124 >>> kjfk = Mex("KJFK") 125 >>> kjfk.station.name 126 'John F Kennedy International Airport' 127 >>> kjfk.update() 128 True 129 >>> kjfk.last_updated 130 datetime.datetime(2020, 4, 20, 12, 7, 7, 393270, tzinfo=datetime.timezone.utc) 131 >>> print(kjfk.raw) 132 """ 133 KJFK GFSX MOS GUIDANCE 4/20/2020 0000 UTC 134 FHR 24| 36 48| 60 72| 84 96|108 120|132 144|156 168|180 192 135 MON 20| TUE 21| WED 22| THU 23| FRI 24| SAT 25| SUN 26| MON 27 CLIMO 136 X/N 57| 45 59| 37 56| 40 52| 49 58| 46 59| 48 59| 44 58 45 63 137 TMP 50| 49 48| 41 49| 45 48| 52 51| 50 53| 51 52| 48 51 138 DPT 31| 39 26| 17 17| 24 40| 46 43| 40 44| 43 40| 35 31 139 CLD OV| OV OV| CL CL| OV OV| OV OV| PC OV| OV OV| OV OV 140 WND 13| 14 26| 26 21| 16 13| 18 15| 16 12| 15 19| 19 11 141 P12 9| 1 73| 7 0| 9 43| 73 63| 27 51| 64 37| 35 32 24 23 142 P24 | 73| 7| 43| 77| 61| 73| 44 36 143 Q12 0| 0 2| 0 0| 0 1| 5 3| 0 2| 5 | 144 Q24 | 1| 0| 0| 5| 2| | 145 T12 1| 0 12| 1 0| 4 4| 8 11| 3 3| 14 7| 5 9 146 T24 | 1 | 14 | 4 | 12 | 11 | 14 | 11 147 PZP 0| 0 1| 0 2| 4 1| 0 0| 0 0| 0 0| 0 0 148 PSN 0| 0 0| 37 25| 15 4| 0 0| 0 0| 2 0| 3 5 149 PRS 0| 2 1| 32 28| 19 4| 0 1| 1 1| 1 1| 8 9 150 TYP R| R R| RS RS| R R| R R| R R| R R| R R 151 SNW | 0| 0| 0| 0| 0| | 152 """ 153 >>> len(kjfk.data.forecast) 154 15 155 >>> kjfk.data.forecast[2].precip_chance_24 156 Number(repr='73', value=73, spoken='seven three') 157 ``` 158 159 The `parse` and `from_report` methods can parse a report string if you want 160 to override the normal fetching process. 161 ''' 162 163 report_type = "mex" 164 _service_class = NoaaGfs # type: ignore 165 166 async def _post_update(self) -> None: 167 if self.raw is None: 168 return 169 self.data = parse_mex(self.raw) 170 self.units = Units(**static.UNITS) 171 172 def _post_parse(self) -> None: 173 if self.raw is None: 174 return 175 self.data = parse_mex(self.raw) 176 self.units = Units(**static.UNITS) 177 178 179_ThunderList = list[tuple[Number | None, Number | None] | None] 180 181 182def _thunder(line: str, size: int = 3) -> _ThunderList: 183 """Parse thunder line into Number tuples.""" 184 ret: _ThunderList = [] 185 previous = None 186 for item in _split_line(line, size=size, prefix=5, strip=" /"): 187 if not item: 188 ret.append(None) 189 elif previous: 190 ret.append((previous, core.make_number(item))) 191 previous = None 192 else: 193 ret.append(None) 194 previous = core.make_number(item) 195 return ret 196 197 198_precip_amount = _code(static.PRECIPITATION_AMOUNT) 199 200_HANDLERS = { 201 "X/N": ("temperature_minmax", _numbers), 202 "TMP": ("temperature", _numbers), 203 "DPT": ("dewpoint", _numbers), 204 "CLD": ("cloud", _code(static.CLOUD)), 205 "WDR": ("wind_direction", _direction), 206 "WSP": ("wind_speed", _numbers), 207 "P06": ("precip_chance_6", _numbers), 208 "P12": ("precip_chance_12", _numbers), 209 "P24": ("precip_chance_24", _numbers), 210 "Q06": ("precip_amount_6", _precip_amount), 211 "Q12": ("precip_amount_12", _precip_amount), 212 "Q24": ("precip_amount_24", _precip_amount), 213 "TYP": ("precip_type", _code(static.PRECIPITATION_TYPE)), 214} 215 216 217# Secondary dicts for conflicting handlers 218_MAV_HANDLERS = { 219 **_HANDLERS, 220 "T06": ("thunderstorm_6", "severe_storm_6", _thunder), 221 "T12": ("thunderstorm_12", "severe_storm_12", _thunder), 222 "POZ": ("freezing_precip", _numbers), 223 "POS": ("snow", _numbers), 224 "CIG": ("ceiling", _code(static.CEILING_HEIGHT)), 225 "VIS": ("visibility", _code(static.VISIBILITY)), 226 "OBV": ("vis_obstruction", _code(static.VISIBILITY_OBSTRUCTION)), 227} 228 229_MEX_HANDLERS = { 230 **_HANDLERS, 231 "T12": ("thunderstorm_12", _numbers), 232 "T24": ("thunderstorm_24", _numbers), 233 "PZP": ("freezing_precip", _numbers), 234 "PRS": ("rain_snow_mix", _numbers), 235 "PSN": ("snow", _numbers), 236 "SNW": ("snow_amount_24", _code(static.SNOWFALL_AMOUNT)), 237} 238 239 240def parse_mav(report: str) -> MavData | None: 241 """Parser for GFS MAV reports.""" 242 if not report: 243 return None 244 data, lines = _init_parse(report) 245 lines = _trim_lines(lines, 2) 246 period_strings = _split_line(lines[2]) 247 timestamp = data.time.dt if data.time else None 248 periods = _find_time_periods(period_strings, timestamp) 249 _parse_lines(periods, lines[3:], _MAV_HANDLERS) 250 return MavData( 251 raw=data.raw, 252 sanitized=data.sanitized, 253 station=data.station, 254 time=data.time, 255 remarks=data.remarks, 256 forecast=[MavPeriod(**p) for p in periods], 257 ) 258 259 260def parse_mex(report: str) -> MexData | None: 261 """Parser for GFS MEX reports.""" 262 if not report: 263 return None 264 data, lines = _init_parse(report) 265 lines = _trim_lines(lines, 1) 266 period_strings = _split_line(lines[1], size=4, prefix=4) 267 timestamp = data.time.dt if data.time else None 268 periods = _find_time_periods(period_strings, timestamp) 269 _parse_lines(periods, lines[3:], _MEX_HANDLERS, size=4) 270 return MexData( 271 raw=data.raw, 272 sanitized=data.sanitized, 273 station=data.station, 274 time=data.time, 275 remarks=data.remarks, 276 forecast=[MexPeriod(**p) for p in periods], 277 )
49class Mav(Forecast): 50 ''' 51 The Mav class offers an object-oriented approach to managing MOS MAV data 52 for a single station. 53 54 Below is typical usage for fetching and pulling MAV data for KJFK. 55 56 ```python 57 >>> from avwx import Mav 58 >>> kjfk = Mav("KJFK") 59 >>> kjfk.station.name 60 'John F Kennedy International Airport' 61 >>> kjfk.update() 62 True 63 >>> kjfk.last_updated 64 datetime.datetime(2020, 4, 20, 1, 7, 7, 393270, tzinfo=datetime.timezone.utc) 65 >>> print(kjfk.raw) 66 """ 67 KJFK GFS MOS GUIDANCE 4/19/2020 1800 UTC 68 DT /APR 20 /APR 21 /APR 22 69 HR 00 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 00 03 06 12 18 70 N/X 46 58 44 58 37 71 TMP 53 52 50 48 48 50 54 56 51 49 47 46 49 53 55 52 47 45 43 41 54 72 DPT 43 41 37 35 33 30 28 27 28 30 32 34 37 39 37 32 26 23 22 18 14 73 CLD OV OV OV OV OV OV OV SC FW CL CL FW BK OV OV OV BK FW CL FW SC 74 WDR 20 22 26 35 02 03 02 02 34 19 20 18 18 18 18 23 29 30 29 29 28 75 WSP 20 13 07 08 11 14 14 11 05 03 04 06 11 19 25 21 22 25 20 19 22 76 P06 0 12 9 1 0 1 29 68 8 2 0 77 P12 12 9 2 69 15 78 Q06 0 0 0 0 0 0 0 2 0 0 0 79 Q12 0 0 0 2 0 80 T06 0/ 4 1/ 0 1/ 0 0/ 0 0/ 0 0/ 0 5/ 3 13/13 0/ 0 0/ 8 81 T12 1/ 2 0/ 0 9/ 6 14/13 1/ 8 82 POZ 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 83 POS 0 0 0 0 0 2 0 6 6 9 9 0 16 8 0 4 4 47 60 67 42 84 TYP R R R R R R R R R R R R R R R R R R S S R 85 SNW 0 0 86 CIG 7 7 7 7 6 6 6 8 8 8 8 8 8 6 6 6 7 8 8 8 8 87 VIS 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7 88 OBV N N N N N N N N N N N N N N N N N N N N N 89 """ 90 >>> len(kjfk.data.forecast) 91 21 92 >>> kjfk.data.forecast[0].ceiling 93 Code(repr='7', value='6600 - 12,000 feet') 94 ``` 95 96 The `parse` and `from_report` methods can parse a report string if you want 97 to override the normal fetching process. 98 ''' 99 100 report_type = "mav" 101 _service_class = NoaaGfs # type: ignore 102 103 async def _post_update(self) -> None: 104 if self.raw is None: 105 return 106 self.data = parse_mav(self.raw) 107 self.units = Units(**static.UNITS) 108 109 def _post_parse(self) -> None: 110 if self.raw is None: 111 return 112 self.data = parse_mav(self.raw) 113 self.units = Units(**static.UNITS)
The Mav class offers an object-oriented approach to managing MOS MAV data for a single station.
Below is typical usage for fetching and pulling MAV data for KJFK.
>>> from avwx import Mav
>>> kjfk = Mav("KJFK")
>>> kjfk.station.name
'John F Kennedy International Airport'
>>> kjfk.update()
True
>>> kjfk.last_updated
datetime.datetime(2020, 4, 20, 1, 7, 7, 393270, tzinfo=datetime.timezone.utc)
>>> print(kjfk.raw)
"""
KJFK GFS MOS GUIDANCE 4/19/2020 1800 UTC
DT /APR 20 /APR 21 /APR 22
HR 00 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 00 03 06 12 18
N/X 46 58 44 58 37
TMP 53 52 50 48 48 50 54 56 51 49 47 46 49 53 55 52 47 45 43 41 54
DPT 43 41 37 35 33 30 28 27 28 30 32 34 37 39 37 32 26 23 22 18 14
CLD OV OV OV OV OV OV OV SC FW CL CL FW BK OV OV OV BK FW CL FW SC
WDR 20 22 26 35 02 03 02 02 34 19 20 18 18 18 18 23 29 30 29 29 28
WSP 20 13 07 08 11 14 14 11 05 03 04 06 11 19 25 21 22 25 20 19 22
P06 0 12 9 1 0 1 29 68 8 2 0
P12 12 9 2 69 15
Q06 0 0 0 0 0 0 0 2 0 0 0
Q12 0 0 0 2 0
T06 0/ 4 1/ 0 1/ 0 0/ 0 0/ 0 0/ 0 5/ 3 13/13 0/ 0 0/ 8
T12 1/ 2 0/ 0 9/ 6 14/13 1/ 8
POZ 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
POS 0 0 0 0 0 2 0 6 6 9 9 0 16 8 0 4 4 47 60 67 42
TYP R R R R R R R R R R R R R R R R R R S S R
SNW 0 0
CIG 7 7 7 7 6 6 6 8 8 8 8 8 8 6 6 6 7 8 8 8 8
VIS 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7
OBV N N N N N N N N N N N N N N N N N N N N N
"""
>>> len(kjfk.data.forecast)
21
>>> kjfk.data.forecast[0].ceiling
Code(repr='7', value='6600 - 12,000 feet')
The parse and from_report methods can parse a report string if you want
to override the normal fetching process.
116class Mex(Forecast): 117 ''' 118 The Mex class offers an object-oriented approach to managing MOS MEX data 119 for a single station. 120 121 Below is typical usage for fetching and pulling MAV data for KJFK. 122 123 ```python 124 >>> from avwx import Mex 125 >>> kjfk = Mex("KJFK") 126 >>> kjfk.station.name 127 'John F Kennedy International Airport' 128 >>> kjfk.update() 129 True 130 >>> kjfk.last_updated 131 datetime.datetime(2020, 4, 20, 12, 7, 7, 393270, tzinfo=datetime.timezone.utc) 132 >>> print(kjfk.raw) 133 """ 134 KJFK GFSX MOS GUIDANCE 4/20/2020 0000 UTC 135 FHR 24| 36 48| 60 72| 84 96|108 120|132 144|156 168|180 192 136 MON 20| TUE 21| WED 22| THU 23| FRI 24| SAT 25| SUN 26| MON 27 CLIMO 137 X/N 57| 45 59| 37 56| 40 52| 49 58| 46 59| 48 59| 44 58 45 63 138 TMP 50| 49 48| 41 49| 45 48| 52 51| 50 53| 51 52| 48 51 139 DPT 31| 39 26| 17 17| 24 40| 46 43| 40 44| 43 40| 35 31 140 CLD OV| OV OV| CL CL| OV OV| OV OV| PC OV| OV OV| OV OV 141 WND 13| 14 26| 26 21| 16 13| 18 15| 16 12| 15 19| 19 11 142 P12 9| 1 73| 7 0| 9 43| 73 63| 27 51| 64 37| 35 32 24 23 143 P24 | 73| 7| 43| 77| 61| 73| 44 36 144 Q12 0| 0 2| 0 0| 0 1| 5 3| 0 2| 5 | 145 Q24 | 1| 0| 0| 5| 2| | 146 T12 1| 0 12| 1 0| 4 4| 8 11| 3 3| 14 7| 5 9 147 T24 | 1 | 14 | 4 | 12 | 11 | 14 | 11 148 PZP 0| 0 1| 0 2| 4 1| 0 0| 0 0| 0 0| 0 0 149 PSN 0| 0 0| 37 25| 15 4| 0 0| 0 0| 2 0| 3 5 150 PRS 0| 2 1| 32 28| 19 4| 0 1| 1 1| 1 1| 8 9 151 TYP R| R R| RS RS| R R| R R| R R| R R| R R 152 SNW | 0| 0| 0| 0| 0| | 153 """ 154 >>> len(kjfk.data.forecast) 155 15 156 >>> kjfk.data.forecast[2].precip_chance_24 157 Number(repr='73', value=73, spoken='seven three') 158 ``` 159 160 The `parse` and `from_report` methods can parse a report string if you want 161 to override the normal fetching process. 162 ''' 163 164 report_type = "mex" 165 _service_class = NoaaGfs # type: ignore 166 167 async def _post_update(self) -> None: 168 if self.raw is None: 169 return 170 self.data = parse_mex(self.raw) 171 self.units = Units(**static.UNITS) 172 173 def _post_parse(self) -> None: 174 if self.raw is None: 175 return 176 self.data = parse_mex(self.raw) 177 self.units = Units(**static.UNITS)
The Mex class offers an object-oriented approach to managing MOS MEX data for a single station.
Below is typical usage for fetching and pulling MAV data for KJFK.
>>> from avwx import Mex
>>> kjfk = Mex("KJFK")
>>> kjfk.station.name
'John F Kennedy International Airport'
>>> kjfk.update()
True
>>> kjfk.last_updated
datetime.datetime(2020, 4, 20, 12, 7, 7, 393270, tzinfo=datetime.timezone.utc)
>>> print(kjfk.raw)
"""
KJFK GFSX MOS GUIDANCE 4/20/2020 0000 UTC
FHR 24| 36 48| 60 72| 84 96|108 120|132 144|156 168|180 192
MON 20| TUE 21| WED 22| THU 23| FRI 24| SAT 25| SUN 26| MON 27 CLIMO
X/N 57| 45 59| 37 56| 40 52| 49 58| 46 59| 48 59| 44 58 45 63
TMP 50| 49 48| 41 49| 45 48| 52 51| 50 53| 51 52| 48 51
DPT 31| 39 26| 17 17| 24 40| 46 43| 40 44| 43 40| 35 31
CLD OV| OV OV| CL CL| OV OV| OV OV| PC OV| OV OV| OV OV
WND 13| 14 26| 26 21| 16 13| 18 15| 16 12| 15 19| 19 11
P12 9| 1 73| 7 0| 9 43| 73 63| 27 51| 64 37| 35 32 24 23
P24 | 73| 7| 43| 77| 61| 73| 44 36
Q12 0| 0 2| 0 0| 0 1| 5 3| 0 2| 5 |
Q24 | 1| 0| 0| 5| 2| |
T12 1| 0 12| 1 0| 4 4| 8 11| 3 3| 14 7| 5 9
T24 | 1 | 14 | 4 | 12 | 11 | 14 | 11
PZP 0| 0 1| 0 2| 4 1| 0 0| 0 0| 0 0| 0 0
PSN 0| 0 0| 37 25| 15 4| 0 0| 0 0| 2 0| 3 5
PRS 0| 2 1| 32 28| 19 4| 0 1| 1 1| 1 1| 8 9
TYP R| R R| RS RS| R R| R R| R R| R R| R R
SNW | 0| 0| 0| 0| 0| |
"""
>>> len(kjfk.data.forecast)
15
>>> kjfk.data.forecast[2].precip_chance_24
Number(repr='73', value=73, spoken='seven three')
The parse and from_report methods can parse a report string if you want
to override the normal fetching process.
241def parse_mav(report: str) -> MavData | None: 242 """Parser for GFS MAV reports.""" 243 if not report: 244 return None 245 data, lines = _init_parse(report) 246 lines = _trim_lines(lines, 2) 247 period_strings = _split_line(lines[2]) 248 timestamp = data.time.dt if data.time else None 249 periods = _find_time_periods(period_strings, timestamp) 250 _parse_lines(periods, lines[3:], _MAV_HANDLERS) 251 return MavData( 252 raw=data.raw, 253 sanitized=data.sanitized, 254 station=data.station, 255 time=data.time, 256 remarks=data.remarks, 257 forecast=[MavPeriod(**p) for p in periods], 258 )
Parser for GFS MAV reports.
261def parse_mex(report: str) -> MexData | None: 262 """Parser for GFS MEX reports.""" 263 if not report: 264 return None 265 data, lines = _init_parse(report) 266 lines = _trim_lines(lines, 1) 267 period_strings = _split_line(lines[1], size=4, prefix=4) 268 timestamp = data.time.dt if data.time else None 269 periods = _find_time_periods(period_strings, timestamp) 270 _parse_lines(periods, lines[3:], _MEX_HANDLERS, size=4) 271 return MexData( 272 raw=data.raw, 273 sanitized=data.sanitized, 274 station=data.station, 275 time=data.time, 276 remarks=data.remarks, 277 forecast=[MexPeriod(**p) for p in periods], 278 )
Parser for GFS MEX reports.