Datasets:

Arimancy
/

bts-flights-weather

observation_hour_utc timestamp[us, tz=UTC]	isd_station_id string	temp_c float64	dewpoint_c float64	relative_humidity_pct float64	wind_speed_ms float64	wind_gust_ms float64	wind_dir_deg float64	visibility_m float64	ceiling_m float64	ceiling_unlimited bool	sea_level_pressure_hpa float64	precip_1h_mm float64	snow_depth_cm float64	sky_cover_oktas float64	wx_thunderstorm bool	wx_snow bool	wx_freezing_precip bool	wx_fog bool	wx_rain bool	flight_category string	flight_category_ordinal float64	speci_count_1h int64	obs_missing bool	obs_is_imputed bool	obs_report_type string	obs_time_utc timestamp[us, tz=UTC]	call_sign string
2018-12-31T14:00:00	70026027502	-22.8	-25	82.181139	7.2	null	60	3,219	1,981	false	997	0	null	8	false	true	false	false	false	IFR	2	1	false	false	FM-15	2018-12-31T14:53:00	PABR
2018-12-31T15:00:00	70026027502	-22.2	-24.4	82.269141	7.7	null	50	6,437	3,048	false	995.8	0	null	8	false	true	false	false	false	MVFR	1	1	false	false	FM-15	2018-12-31T15:53:00	PABR
2018-12-31T16:00:00	70026027502	-21.7	-24.4	78.742215	9.8	null	60	4,828	1,036	false	994.4	0	null	8	false	true	false	false	false	IFR	2	1	false	false	FM-15	2018-12-31T16:53:00	PABR
2018-12-31T17:00:00	70026027502	-22.2	-24.4	82.269141	8.8	11.8	60	3,219	3,353	false	993.2	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2018-12-31T17:53:00	PABR
2018-12-31T18:00:00	70026027502	-21.7	-23.9	82.341998	10.8	null	60	6,437	975	false	993.4	0	null	8	false	false	false	false	false	MVFR	1	1	false	false	FM-15	2018-12-31T18:53:00	PABR
2018-12-31T19:00:00	70026027502	-21.1	-23.3	82.428858	8.8	null	50	9,656	945	false	993.1	0	null	8	false	false	false	false	false	VFR	0	0	false	false	FM-15	2018-12-31T19:53:00	PABR
2018-12-31T20:00:00	70026027502	-21.1	-23.3	82.428858	10.3	null	60	6,437	945	false	992.6	0	null	8	false	false	false	false	false	MVFR	1	0	false	false	FM-15	2018-12-31T20:53:00	PABR
2018-12-31T21:00:00	70026027502	-20.6	-22.8	82.500773	9.8	null	50	6,437	884	false	991.8	0	null	8	false	false	false	false	false	MVFR	1	1	false	false	FM-15	2018-12-31T21:53:00	PABR
2018-12-31T22:00:00	70026027502	-20	-22.2	82.58651	11.3	null	50	3,219	1,189	false	991.2	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2018-12-31T22:53:00	PABR
2018-12-31T23:00:00	70026027502	-20	-22.2	82.58651	9.3	null	50	3,219	22,000	true	991.7	0	null	4	false	false	false	false	false	IFR	2	0	false	false	FM-15	2018-12-31T23:53:00	PABR
2019-01-01T00:00:00	70026027502	-19.4	-21.7	81.952276	8.2	null	50	3,219	2,134	false	991.4	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-01T00:53:00	PABR
2019-01-01T01:00:00	70026027502	-18.9	-21.1	82.74213	10.3	13.9	50	4,828	2,438	false	990.9	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2019-01-01T01:53:00	PABR
2019-01-01T02:00:00	70026027502	-18.9	-20.6	86.410811	11.3	14.9	50	4,023	1,676	false	990.4	0	null	8	false	false	false	false	false	IFR	2	3	false	false	FM-15	2019-01-01T02:53:00	PABR
2019-01-01T03:00:00	70026027502	-18.3	-20.6	82.112535	11.8	14.9	50	2,414	2,438	false	989.9	0	null	8	false	false	false	false	false	IFR	2	3	false	false	FM-15	2019-01-01T03:53:00	PABR
2019-01-01T04:00:00	70026027502	-18.3	-20	86.478393	11.8	null	60	2,012	122	false	989.5	0.3	null	8	false	false	false	false	false	LIFR	3	2	false	false	FM-15	2019-01-01T04:53:00	PABR
2019-01-01T05:00:00	70026027502	-18	-20	84.308742	11.8	null	60	2,012	122	false	null	0.3	null	8	false	false	false	false	false	LIFR	3	1	false	false	FM-15	2019-01-01T05:16:00	PABR
2019-01-01T06:00:00	70026027502	-18.9	-20.6	86.410811	11.8	null	70	2,816	22,000	true	990.2	0	null	2	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-01T06:53:00	PABR
2019-01-01T07:00:00	70026027502	-19	-21	84.179512	11.8	null	70	2,816	22,000	true	null	0	null	2	false	false	false	false	false	IFR	2	3	false	false	FM-15	2019-01-01T07:00:00	PABR
2019-01-01T08:00:00	70026027502	-17.8	-19.4	87.278988	8.2	null	70	16,093	701	false	991	0	null	8	false	false	false	false	false	MVFR	1	0	false	false	FM-15	2019-01-01T08:53:00	PABR
2019-01-01T09:00:00	70026027502	-17.8	-20	82.895751	10.8	null	70	8,047	2,896	false	990.4	0	null	8	false	false	false	false	false	VFR	0	1	false	false	FM-15	2019-01-01T09:53:00	PABR
2019-01-01T10:00:00	70026027502	-17.8	-19.4	87.278988	9.3	null	70	8,047	396	false	990.1	0	null	8	false	false	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-01T10:53:00	PABR
2019-01-01T11:00:00	70026027502	-17.8	-19.4	87.278988	10.3	null	70	8,047	396	false	989.9	0	null	8	false	false	false	false	false	MVFR	1	0	false	false	FM-15	2019-01-01T11:53:00	PABR
2019-01-01T12:00:00	70026027502	-17.8	-19.4	87.278988	10.3	null	70	6,437	396	false	988.9	0	null	8	false	false	false	false	false	MVFR	1	0	false	false	FM-15	2019-01-01T12:53:00	PABR
2019-01-01T13:00:00	70026027502	-17.2	-18.9	86.601027	9.8	null	70	4,828	335	false	988.5	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-01T13:53:00	PABR
2019-01-01T14:00:00	70026027502	-17.2	-18.9	86.601027	9.8	null	70	4,023	335	false	987.8	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2019-01-01T14:53:00	PABR
2019-01-01T15:00:00	70026027502	-16.7	-18.3	87.394619	9.8	null	70	6,437	366	false	987.2	0	null	8	false	false	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-01T15:53:00	PABR
2019-01-01T16:00:00	70026027502	-16.7	-18.3	87.394619	8.8	null	70	2,012	244	false	986.5	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-01T16:53:00	PABR
2019-01-01T17:00:00	70026027502	-16.7	-17.8	91.171695	8.8	null	70	2,012	213	false	986.2	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-01T17:53:00	PABR
2019-01-01T18:00:00	70026027502	-16.1	-17.2	91.216313	8.8	null	70	2,012	244	false	985.7	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-01T18:53:00	PABR
2019-01-01T19:00:00	70026027502	-15.6	-17.2	87.50872	8.8	null	70	3,219	244	false	984.8	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2019-01-01T19:53:00	PABR
2019-01-01T20:00:00	70026027502	-15.6	-16.7	91.253241	8.8	null	70	4,023	305	false	984.2	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2019-01-01T20:53:00	PABR
2019-01-01T21:00:00	70026027502	-15	-16.7	86.841475	8.8	null	70	4,023	274	false	984	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-01T21:53:00	PABR
2019-01-01T22:00:00	70026027502	-15	-16.1	91.297253	8.8	null	80	2,011	792	false	983.6	0	null	8	false	true	false	false	false	IFR	2	2	false	false	FM-15	2019-01-01T22:53:00	PABR
2019-01-01T23:00:00	70026027502	-14.4	-16.1	86.90596	8.2	null	80	4,828	792	false	983.3	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-01T23:53:00	PABR
2019-01-02T00:00:00	70026027502	-14	-16	84.810643	8.2	null	80	4,023	1,097	false	null	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-02T00:53:00	PABR
2019-01-02T01:00:00	70026027502	-15	-16.1	91.297253	7.2	null	80	9,656	1,402	false	983.1	0	null	8	false	false	false	false	false	VFR	0	1	false	false	FM-15	2019-01-02T01:53:00	PABR
2019-01-02T02:00:00	70026027502	-16.1	-17.2	91.216313	6.2	null	70	11,265	22,000	true	982.8	0	null	4	false	false	false	false	false	VFR	0	1	false	false	FM-15	2019-01-02T02:53:00	PABR
2019-01-02T03:00:00	70026027502	-16.1	-17.2	91.216313	6.2	null	60	14,484	22,000	true	982.5	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-02T03:53:00	PABR
2019-01-02T04:00:00	70026027502	-16.7	-18.3	87.394619	5.1	null	80	16,093	213	false	983.3	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-02T04:53:00	PABR
2019-01-02T05:00:00	70026027502	-16.7	-17.8	91.171695	6.2	null	80	14,484	213	false	983.5	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-02T05:53:00	PABR
2019-01-02T06:00:00	70026027502	-17	-18	91.923852	6.2	null	80	14,484	213	false	null	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-02T06:44:00	PABR
2019-01-02T07:00:00	70026027502	-16.7	-18.3	87.394619	5.1	null	70	16,093	22,000	true	983.8	0	null	4	false	false	false	false	false	VFR	0	1	false	false	FM-15	2019-01-02T07:53:00	PABR
2019-01-02T08:00:00	70026027502	-16.7	-17.8	91.171695	3.6	null	70	16,093	213	false	984.2	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2019-01-02T08:53:00	PABR
2019-01-02T09:00:00	70026027502	-16.1	-17.2	91.216313	3.1	null	100	16,093	213	false	984.8	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-02T09:53:00	PABR
2019-01-02T10:00:00	70026027502	-15.6	-16.7	91.253241	4.6	null	80	16,093	213	false	985.4	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-02T10:53:00	PABR
2019-01-02T11:00:00	70026027502	-15	-16.7	86.841475	4.6	null	80	6,437	274	false	986	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-02T11:53:00	PABR
2019-01-02T12:00:00	70026027502	-15	-16.7	86.841475	5.7	null	70	9,656	213	false	986.4	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-02T12:53:00	PABR
2019-01-02T13:00:00	70026027502	-15.6	-16.7	91.253241	3.6	null	60	16,093	1,463	false	986.5	0	null	8	false	false	false	false	false	VFR	0	3	false	false	FM-15	2019-01-02T13:51:00	PABR
2019-01-02T14:00:00	70026027502	-16.1	-16.7	95.119483	5.1	null	60	14,484	122	false	986.5	0	null	8	false	false	false	false	false	LIFR	3	2	false	false	FM-15	2019-01-02T14:53:00	PABR
2019-01-02T15:00:00	70026027502	-16.1	-17.2	91.216313	5.1	null	70	4,828	183	false	986.8	0	null	8	false	false	false	false	false	IFR	2	2	false	false	FM-15	2019-01-02T15:53:00	PABR
2019-01-02T16:00:00	70026027502	-17	-18	91.923852	5.7	null	70	1,609	91	false	null	0	null	8	false	true	false	false	false	LIFR	3	3	false	false	FM-15	2019-01-02T16:53:00	PABR
2019-01-02T17:00:00	70026027502	-15.6	-16.7	91.253241	5.1	null	70	4,828	213	false	987.8	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2019-01-02T17:53:00	PABR
2019-01-02T18:00:00	70026027502	-16	-17	91.992067	4.1	null	60	4,828	152	false	null	0	null	8	false	true	false	false	false	LIFR	3	0	false	false	FM-15	2019-01-02T18:53:00	PABR
2019-01-02T19:00:00	70026027502	-16.1	-16.7	95.119483	3.1	null	50	3,219	122	false	988.7	0	null	8	false	false	false	false	false	LIFR	3	5	false	false	FM-15	2019-01-02T19:53:00	PABR
2019-01-02T20:00:00	70026027502	-16	-17	91.992067	2.6	null	60	1,609	244	false	null	0	null	8	false	false	false	false	false	LIFR	3	3	false	false	FM-15	2019-01-02T20:53:00	PABR
2019-01-02T21:00:00	70026027502	-16	-17	91.992067	4.6	null	40	805	91	false	null	0	null	8	false	false	true	true	false	LIFR	3	4	false	false	FM-15	2019-01-02T21:53:00	PABR
2019-01-02T22:00:00	70026027502	-15.6	-16.7	91.253241	3.6	null	70	2,012	183	false	989.9	0	null	8	false	false	false	false	false	IFR	2	1	false	false	FM-15	2019-01-02T22:53:00	PABR
2019-01-02T23:00:00	70026027502	null	null	null	2.6	null	70	1,609	null	false	null	0	null	null	false	false	false	false	false	LIFR	3	0	false	false	FM-15	2019-01-02T23:53:00	PABR
2019-01-03T00:00:00	70026027502	-15	-16	92.059434	2.6	null	70	1,609	152	false	null	0	null	8	false	false	false	false	false	LIFR	3	3	false	false	FM-15	2019-01-03T00:19:00	PABR
2019-01-03T01:00:00	70026027502	-14	-16	84.810643	3.6	null	50	2,012	152	false	null	0	null	8	false	false	false	false	false	LIFR	3	3	false	false	FM-15	2019-01-03T01:55:00	PABR
2019-01-03T02:00:00	70026027502	-13.9	-15	91.377098	3.6	null	50	1,207	152	false	990.8	0	null	null	false	true	false	false	false	LIFR	3	4	false	false	FM-15	2019-01-03T02:53:00	PABR
2019-01-03T03:00:00	70026027502	-13.3	-14.4	91.420195	2.1	null	70	1,609	396	false	991.1	0	null	null	false	false	false	false	false	LIFR	3	4	false	false	FM-15	2019-01-03T03:53:00	PABR
2019-01-03T04:00:00	70026027502	-13.3	-14.4	91.420195	1.5	null	70	4,023	427	false	991.8	0	null	8	false	true	false	false	false	IFR	2	2	false	false	FM-15	2019-01-03T04:53:00	PABR
2019-01-03T05:00:00	70026027502	-13.9	-15	91.377098	1.5	null	110	11,265	853	false	992.2	0	null	8	false	false	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-03T05:53:00	PABR
2019-01-03T06:00:00	70026027502	-14	-15	92.125967	2.6	null	170	9,656	823	false	null	0	null	8	false	false	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-03T06:58:00	PABR
2019-01-03T07:00:00	70026027502	-13.9	-15	91.377098	2.1	null	200	11,265	549	false	993.2	0	null	8	false	false	false	false	false	MVFR	1	0	false	false	FM-15	2019-01-03T07:53:00	PABR
2019-01-03T08:00:00	70026027502	-13.3	-15	87.022988	3.6	null	200	3,219	427	false	993.7	0	null	8	false	true	false	false	false	IFR	2	1	false	false	FM-15	2019-01-03T08:53:00	PABR
2019-01-03T09:00:00	70026027502	-13.3	-15	87.022988	3.6	null	190	4,828	366	false	994.4	0	null	8	false	true	false	false	false	IFR	2	3	false	false	FM-15	2019-01-03T09:53:00	PABR
2019-01-03T10:00:00	70026027502	-13.9	-15	91.377098	4.6	null	180	3,219	762	false	995.1	0	null	8	false	true	false	false	false	IFR	2	4	false	false	FM-15	2019-01-03T10:53:00	PABR
2019-01-03T11:00:00	70026027502	-13.9	-15.6	86.959344	5.1	null	180	8,047	610	false	995.8	0	null	8	false	true	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-03T11:53:00	PABR
2019-01-03T12:00:00	70026027502	-13.9	-15.6	86.959344	5.1	null	190	4,023	610	false	996.2	0	null	8	false	true	false	false	false	IFR	2	1	false	false	FM-15	2019-01-03T12:53:00	PABR
2019-01-03T13:00:00	70026027502	-18.3	-20	86.478393	5.1	null	210	16,093	823	false	996.9	0	null	8	false	false	false	false	false	MVFR	1	3	false	false	FM-15	2019-01-03T13:53:00	PABR
2019-01-03T14:00:00	70026027502	-13.9	-15.6	86.959344	5.7	null	230	9,656	1,402	false	997.6	0	null	8	false	true	false	false	false	VFR	0	1	false	false	FM-15	2019-01-03T14:53:00	PABR
2019-01-03T15:00:00	70026027502	-12.8	-13.9	91.455867	4.6	null	240	9,656	1,981	false	998.3	0	null	8	false	true	false	false	false	VFR	0	1	false	false	FM-15	2019-01-03T15:53:00	PABR
2019-01-03T16:00:00	70026027502	-12.2	-13.9	87.138495	5.7	null	240	9,656	579	false	999	0	null	8	false	true	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-03T16:53:00	PABR
2019-01-03T17:00:00	70026027502	-11.1	-12.8	87.252507	6.2	null	260	6,437	427	false	999.7	0	null	8	false	true	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-03T17:53:00	PABR
2019-01-03T18:00:00	70026027502	-11.1	-13.3	83.790129	7.2	null	270	14,484	549	false	1,000.6	0	null	8	false	false	false	false	false	MVFR	1	1	false	false	FM-15	2019-01-03T18:53:00	PABR
2019-01-03T19:00:00	70026027502	-11.7	-13.3	87.901317	10.8	null	260	1,609	427	false	1,001.8	0.3	null	null	false	true	false	false	false	LIFR	3	2	false	false	FM-15	2019-01-03T19:53:00	PABR
2019-01-03T20:00:00	70026027502	-12.8	-15	83.569717	10.8	13.9	270	1,609	427	false	1,003.2	0	null	null	false	true	false	false	false	LIFR	3	0	false	false	FM-15	2019-01-03T20:53:00	PABR
2019-01-03T21:00:00	70026027502	-14	-16	84.810643	11.3	13.9	250	2,414	396	false	null	0	null	8	false	true	false	false	false	IFR	2	0	false	false	FM-15	2019-01-03T21:53:00	PABR
2019-01-03T22:00:00	70026027502	-15	-17	84.687375	11.3	13.4	260	2,816	1,280	false	null	0	null	8	false	true	false	false	false	IFR	2	1	false	false	FM-15	2019-01-03T22:53:00	PABR
2019-01-03T23:00:00	70026027502	-15.6	-18.3	79.750422	10.8	null	270	2,816	1,676	false	1,006.5	0	null	8	false	false	false	false	false	IFR	2	0	false	false	FM-15	2019-01-03T23:53:00	PABR
2019-01-04T00:00:00	70026027502	-16.1	-18.3	83.12931	10.3	null	270	8,047	2,134	false	1,007.6	0	null	8	false	false	false	false	false	VFR	0	1	false	false	FM-15	2019-01-04T00:53:00	PABR
2019-01-04T01:00:00	70026027502	-16.7	-19.4	79.573733	9.8	null	260	9,656	2,896	false	1,008.4	0	null	7	false	false	false	false	false	VFR	0	3	false	false	FM-15	2019-01-04T01:53:00	PABR
2019-01-04T02:00:00	70026027502	-17.8	-20	82.895751	8.8	null	260	12,875	3,048	false	1,009.3	0	null	8	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T02:53:00	PABR
2019-01-04T03:00:00	70026027502	-18.3	-21.1	78.626343	7.7	null	270	16,093	22,000	true	1,010.1	0	null	4	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T03:53:00	PABR
2019-01-04T04:00:00	70026027502	-19.4	-21.7	81.952276	6.7	null	260	16,093	22,000	true	1,011	0	null	0	false	false	false	false	false	VFR	0	1	false	false	FM-15	2019-01-04T04:53:00	PABR
2019-01-04T05:00:00	70026027502	-19	null	null	7.2	null	260	16,093	22,000	true	null	null	null	null	false	false	false	false	false	VFR	0	1	false	false	FM-15	2019-01-04T05:57:00	99999
2019-01-04T06:00:00	70026027502	-19.4	-22.2	78.438935	6.7	null	270	16,093	22,000	true	1,012.4	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T06:53:00	PABR
2019-01-04T07:00:00	70026027502	-21.1	-22.8	86.158751	4.6	null	270	16,093	22,000	true	1,012.9	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T07:53:00	PABR
2019-01-04T08:00:00	70026027502	-21.1	-22.8	86.158751	4.6	null	280	16,093	22,000	true	1,013.3	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T08:53:00	PABR
2019-01-04T09:00:00	70026027502	-21.1	-23.3	82.428858	2.6	null	270	16,093	22,000	true	1,013.9	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T09:53:00	PABR
2019-01-04T10:00:00	70026027502	-23.3	-26.1	77.755321	2.6	null	80	16,093	22,000	true	1,014.1	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T10:53:00	PABR
2019-01-04T11:00:00	70026027502	-30	-31.7	85.066377	3.1	null	110	16,093	22,000	true	1,014.4	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T11:53:00	PABR
2019-01-04T12:00:00	70026027502	-30.6	-32.8	80.977585	4.6	null	140	16,093	22,000	true	1,014.5	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T12:53:00	PABR
2019-01-04T13:00:00	70026027502	-31.1	-33.9	76.292774	5.1	null	140	16,093	22,000	true	1,014.3	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T13:53:00	PABR
2019-01-04T14:00:00	70026027502	-30	-33	75.03713	6.2	null	110	16,093	22,000	true	null	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T14:53:00	PABR
2019-01-04T15:00:00	70026027502	-29	-31	82.79801	4.6	null	120	16,093	22,000	true	null	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T15:53:00	PABR
2019-01-04T16:00:00	70026027502	-31	-33	82.500897	5.1	null	110	16,093	22,000	true	null	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T16:53:00	PABR
2019-01-04T17:00:00	70026027502	-30	-32.2	81.074249	5.1	null	120	16,093	22,000	true	1,014.1	0	null	0	false	false	false	false	false	VFR	0	0	false	false	FM-15	2019-01-04T17:53:00	PABR

End of preview. Expand in Data Studio

US flights joined to observed airport weather (2019 to 2025)

Every US domestic flight joined to the weather actually observed at both airports at the right UTC hour, from January 2019 to July 2025, with a leakage safe schema, aviation flight categories, and a documented airport to station crosswalk, in Parquet.

Why this dataset is different

Every flight delay dataset on the market ships the airline's self reported weather delay column. In October 2024 the DOT Office of Inspector General audited that column and found that BTS has no method to verify carriers report all flights, that its delay cause guidance lacks clarity, and that carriers therefore report causes inconsistently, with a high rate of disagreement against the FAA's own data. So the one weather signal every competitor ships is the one signal the government's own auditor says not to trust.

This dataset ships the observed conditions instead. Joining flights to weather needs an airport to weather station crosswalk that does not exist as a maintained artifact, and the NOAA web tool caps at ten station years per order, so everyone who tries hits a wall at about airport eleven and gives up. The bulk path around that wall is free, public, and almost unused. That gap is this product.

The two numbers that matter

Mean arrival delay climbs with worse observed conditions at the origin, exactly as a dispatcher would expect:

origin flight category	mean arrival delay (min)	cancelled
VFR	4.26	1.9 percent
MVFR	6.31	3.0 percent
IFR	13.39	4.6 percent
LIFR	16.28	5.7 percent

And the self reported column barely tracks the weather it claims to describe. Among flights arriving 30 or more minutes late out of IFR or LIFR conditions at the origin, only 17 percent report any carrier weather delay at all. The observed conditions are the product; the self report is the caveat.

What is in it

Four files, all Parquet (the airports_reference crosswalk also ships as CSV):

flights_weather (the flagship): one row per operated flight, 42.8 million rows, partitioned by year. Weather observed at or before each flight's information cutoff is prefixed wx_; weather from the hour of the flight's own events (actual departure, scheduled arrival, actual arrival) is prefixed oracle_, is unsafe by default, and must be treated as leaking if used to predict. Calendar, scheduled congestion, and a gated prior leg feature are included, all pre cutoff.
flights_weather_recent_24mo (the starter): the most recent 24 complete months in one Parquet file, about 1.18 GB (14,062,629 rows), same schema as the flagship, so you can try the product without the full download.
airport_hourly_weather: observed hourly weather per station on a clean UTC grid, 22.3 million station hours, from NOAA ISD (full ISD, with visibility, ceiling, and present weather).
airports_reference (the crosswalk): one row per airport, with the matched ISD station, the match method, and the distance. The artifact that unblocks everyone who has tried this and given up.

Use select_safe_features() (shipped in the repo, referenced in the data dictionary) for any predictive task; it drops every oracle_ column mechanically. A baseline notebook demonstrates the panel is model ready and lands in the published pre departure band.

Caveats

The carrier reported delay cause columns are not reliable, and we ship them anyway, labeled. The DOT OIG found in October 2024 that BTS has no method to verify carriers report all flights, that its delay cause guidance lacks clarity, and that carriers report causes inconsistently, with a high rate of disagreement against FAA data. They are prefixed reported_ for that reason. Use the observed weather instead. This is the point of the product.
Any column prefixed oracle_ is event-hour weather for the flight's own events, unsafe by default, and must be treated as leaking if used to predict delay. It is the observation from the UTC hour of the event, with no guaranteed timestamp relationship to the information cutoff: an early departure's event weather can precede the cutoff, and the hour's routine report can postdate the event itself. Use select_safe_features(). Both rules are enforced by tests in the repo.
Coverage is limited to reporting carriers (0.5 percent or more of domestic scheduled passenger revenue, plus voluntary reporters). Regional and small carriers may be absent, and the reporting universe changes over time.
Domestic US flights only. This BTS table does not contain international flights.
2020 is a COVID regime break, not a data error. Volumes collapse and delay patterns invert. It is documented, not smoothed.
Weather is the nearest NOAA ISD station to the airport, which is almost always the airport's own ASOS. The station, the match method, and the distance are given per airport in airports_reference. Airports matched by proximity rather than call sign are flagged.
ISD observations are point in time station reports, not hourly averages. The resampling rule is stated in the data dictionary.
METAR precipitation accumulates to an hourly reset and cannot be summed naively. precip_1h_mm is derived correctly; the raw field is not what it looks like.
Airport hours with no observation are flagged with obs_missing and left null. Nothing is imputed.
The window ends July 2025 because the source froze there. NOAA ISD stopped ingesting global hourly data on August 27, 2025. To keep every shipped flight joined to real weather, the dataset ends at the last complete weather month, July 2025. This is a fixed historical panel, not a monthly refreshed feed.
Airport names reflect a January 2021 snapshot of the BTS lookup tables and may be stale for airports renamed since. Palm Beach International (PBI) is the example; it was renamed in 2026. Geometry and station matching are unaffected because they key on coordinates and call signs, not names.
This is not an operational delay prediction system and contains no weather forecasts.

Attribution and license

Source: US DOT Bureau of Transportation Statistics, Airline On-Time Performance Data (US Government work, public domain). Weather: NOAA NCEI Integrated Surface Database (US Government work, public domain). Airport coordinates and ICAO codes: OurAirports (public domain). This product is not endorsed by or affiliated with the US DOT, BTS, FAA, or NOAA.

Published by Arimancy LLC under CC BY 4.0; the license text and the attribution target ship in the package as LICENSE.txt. Dataset page: arimancy.com/datasets/observed-weather-us-flights.

Downloads last month: 59