Weather Forecast Grid (Current + Ahead)

Hourly weather forecasts on the same 0.25 degree latitude and longitude grid as the history table, extending about two days ahead — this is the dataset for current conditions and the hours in front of them, since the ERA5 history trails real time by several days.

Open-MeteoWeather data ERCOT market NYISO market CAISO market PJM market MISO market ISO-NE market SPP market

Query with the agent

Native record

valid hour x grid point x lead-day vintage

hourly (forecast, 1-3 day leads) publication cadence

Evidence

Forecast data

Forward-looking values with an explicit issue time

Time basis

Point-in-time records

UTC · valid_time

Overview

Rich per-point coverage: temperature, apparent and wet-bulb temperature, humidity, cloud cover, shortwave and direct radiation, wind speed and direction at 10, 80, 120, and 180 meters, gusts, precipitation, and CAPE — the drivers behind load, wind output, and solar output. Rows are vintage-stamped by lead_days (days between forecast issue and the valid hour); multiple vintages coexist per valid hour, so take the minimum lead_days per (valid_time, location_id) for the freshest view of any hour. Source: Open-Meteo.

Query contract

For the freshest map-compatible estimate, read FINAL and select the row with latest ingested_at per (valid_time, location_id), retaining lead_days and ingested_at. Reduce vintages before aggregating locations or hours.

Analysis rules

Never sum forecast vintages or wind speeds. Resolve one row per valid_time and location_id before spatial or temporal aggregation.
For a named place, use bounded coordinates and report the sampled grid point, distance, valid hour and wind height. A point sample does not describe an entire weather zone.

Interpretation

This is hourly modeled forecast weather on a 0.25-degree lattice, including estimates for the current hour. It is not a measured station observation, radar velocity, tornado warning or confirmation of a tornado; modeled wind and CAPE cannot confirm or rule out a tornado.
valid_time is the forecast target, lead_days is the source vintage label, and ingested_at is when this mirror received the row, not the model issue time. FINAL retains revisions per vintage key; the table does not preserve a complete as-known-at archive.

Access

Query from your own tools

Use the guarded HTTP endpoint directly, or connect an MCP client and load the dataset contract with describe_data before calling query_data.

ERCOT MCP CAISO MCP NYISO MCP PJM MCP SPP MCP MISO MCP ISO-NE MCP BPA MCP API reference

HTTP endpoint

POST /api/v1/datasets/open_meteo_forecast_grid/query

Need the full history of this dataset in Snowflake, Databricks or your own storage? Data services delivers it on a schedule.

Schema40

Column

Type

valid_timeDateTime64(6, 'UTC')

location_idLowCardinality(String)

lead_daysInt64

latitudeNullable(Float64)

longitudeNullable(Float64)

temperature_2m_cNullable(Float64)

apparent_temperature_cNullable(Float64)

dew_point_2m_cNullable(Float64)

relative_humidity_2m_pctNullable(Float64)

wet_bulb_temperature_2m_cNullable(Float64)

vapour_pressure_deficit_kpaNullable(Float64)

pressure_msl_hpaNullable(Float64)

surface_pressure_hpaNullable(Float64)

shortwave_radiation_wm2Nullable(Float64)

direct_radiation_wm2Nullable(Float64)

diffuse_radiation_wm2Nullable(Float64)

direct_normal_irradiance_wm2Nullable(Float64)

terrestrial_radiation_wm2Nullable(Float64)

cloud_cover_pctNullable(Float64)

wind_speed_10m_msNullable(Float64)

wind_speed_80m_msNullable(Float64)

wind_speed_120m_msNullable(Float64)

wind_speed_180m_msNullable(Float64)

wind_direction_10m_degNullable(Float64)

wind_direction_80m_degNullable(Float64)

wind_direction_120m_degNullable(Float64)

wind_direction_180m_degNullable(Float64)

wind_gust_10m_msNullable(Float64)

precipitation_mmNullable(Float64)

rain_mmNullable(Float64)

showers_mmNullable(Float64)

snowfall_cmNullable(Float64)

cape_jkgNullable(Float64)

evapotranspiration_mmNullable(Float64)

et0_fao_evapotranspiration_mmNullable(Float64)

is_dayNullable(Int64)

weather_codeNullable(Int64)

ingested_atDateTime64(6, 'UTC')

wind_speed_100m_msNullable(Float64)

wind_direction_100m_degNullable(Float64)

Sample data

valid_time	location_id	lead_days	latitude	longitude	temperature_2m_c	apparent_temperature_c	dew_point_2m_c	relative_humidity_2m_pct	wet_bulb_temperature_2m_c	vapour_pressure_deficit_kpa	pressure_msl_hpa	surface_pressure_hpa	shortwave_radiation_wm2	direct_radiation_wm2	diffuse_radiation_wm2	direct_normal_irradiance_wm2	terrestrial_radiation_wm2	cloud_cover_pct	wind_speed_10m_ms	wind_speed_80m_ms	wind_speed_120m_ms	wind_speed_180m_ms	wind_direction_10m_deg	wind_direction_80m_deg	wind_direction_120m_deg	wind_direction_180m_deg	wind_gust_10m_ms	precipitation_mm	showers_mm	cape_jkg	et0_fao_evapotranspiration_mm	is_day	weather_code	ingested_at	wind_speed_100m_ms	wind_direction_100m_deg
2026-10-20 23:00:00.000000	era5_39.50_-99.75	4	39.5	-99.75	22.4	19.1	11.8	51	15.9	1.33	1013.5	935.5	199	152	47	627.4	335.1	0	7.34	10.62	11.24	7.34	160	166	166	174	11.4	0	0	10	0.23	1	0	2026-10-17 16:45:05.099169	11.01	166
2026-10-20 23:00:00.000000	era5_39.50_-99.50	4	39.5	-99.5	22.1	19	11.8	52	15.8	1.28	1014.2	943.2	195	147	48	613.6	331.1	0	6.99	10.31	10.88	8.24	156	162	163	170	11.4	0	0	0	0.22	1	0	2026-10-17 16:45:05.099169	10.66	163
2026-10-20 23:00:00.000000	era5_39.50_-99.25	4	39.5	-99.25	21.6	18.8	12.2	55	15.8	1.16	1014.9	947.7	191	144	47	608	327.1	0	6.66	9.92	10.54	8.59	152	158	158	168	11.2	0	0	0	0.2	1	0	2026-10-17 16:45:05.099169	10.32	158
2026-10-20 23:00:00.000000	era5_39.50_-99.00	4	39.5	-99	20.8	18.2	12.8	60	15.8	0.98	1015.6	952.8	187	140	47	598	323.2	5	6.72	9.93	10.51	9.71	150	155	156	168	11.3	0	0	0	0.18	1	0	2026-10-17 16:45:05.099169	10.3	156
2026-10-20 23:00:00.000000	era5_39.50_-98.75	4	39.5	-98.75	20.4	17.8	13.1	63	15.7	0.88	1016.3	956.3	183	135	48	583.5	319.5	7	6.8	9.81	10.43	10.62	152	157	157	166	11.2	0.1	0.1	0	0.17	1	51	2026-10-17 16:45:05.099169	10.22	157
2026-10-20 23:00:00.000000	era5_39.50_-98.50	4	39.5	-98.5	20.4	18	13.3	64	15.9	0.86	1016.9	965.6	164	104	60	454.9	314.9	84	6.61	9.56	10.18	10.85	160	164	164	162	11	0	0	0	0.16	1	3	2026-10-17 16:45:05.099169	9.97	164
2026-10-20 23:00:00.000000	era5_39.50_-98.25	4	39.5	-98.25	20.4	17.9	12.9	62	15.6	0.91	1017.5	965.3	162	101	61	449.9	310.9	65	6.44	9.46	9.95	11.58	174	173	174	160	10.7	0	0	0	0.16	1	2	2026-10-17 16:45:05.099169	9.75	174
2026-10-20 23:00:00.000000	era5_39.50_-98.00	4	39.5	-98	20	17.6	12.5	62	15.2	0.89	1017.8	964.4	138	69	69	311.2	306.9	100	5.94	9.09	9.69	12.08	167	172	172	161	10.6	0.1	0.1	0	0.15	1	51	2026-10-17 16:45:05.099169	9.49	172
2026-10-20 23:00:00.000000	era5_39.50_-97.75	4	39.5	-97.75	19.1	16.8	12.6	66	14.9	0.75	1018.3	966.9	136	72	64	328.8	302.9	100	5.85	9.1	9.68	12.36	163	165	166	161	10.7	0.4	0.4	0	0.13	1	51	2026-10-17 16:45:05.099169	9.48	166
2026-10-20 23:00:00.000000	era5_39.50_-97.50	4	39.5	-97.5	19.4	16.8	11.7	61	14.6	0.88	1018.8	970.4	166	119	47	550.5	298.9	13	5.92	8.86	9.35	11.7	168	169	169	160	10.3	0.1	0.1	0	0.15	1	51	2026-10-17 16:45:05.099169	9.16	169
2026-10-20 23:00:00.000000	era5_39.50_-97.25	4	39.5	-97.25	19.6	16.9	11.4	59	14.5	0.94	1019.1	975.2	163	117	46	548.2	294.9	35	5.92	8.86	9.45	11.4	168	169	169	158	10.1	0	0	0	0.16	1	1	2026-10-17 16:45:05.099169	9.26	169
2026-10-20 23:00:00.000000	era5_39.50_-97.00	4	39.5	-97	19.5	16.5	11	58	14.3	0.95	1019.5	974.1	141	83	58	394.1	290.9	86	6.15	9.06	9.64	10.73	173	174	175	159	10.4	0	0	0	0.16	1	3	2026-10-17 16:45:05.099169	9.44	175
2026-10-20 23:00:00.000000	era5_39.50_-96.75	4	39.5	-96.75	19.6	16.8	10.9	57	14.3	0.98	1019.8	975.3	129	66	63	317.6	286.3	100	5.9	8.8	9.39	10.3	180	179	179	156	10.1	0	0	0	0.16	1	3	2026-10-17 16:45:05.099169	9.2	179
2026-10-20 23:00:00.000000	era5_39.50_-96.50	4	39.5	-96.5	19	16.1	10.1	56	13.6	0.97	1020.1	969.4	121	61	60	299.5	282.3	100	5.75	8.71	9.28	10.64	167	171	172	153	10	0	0	0	0.15	1	3	2026-10-17 16:45:05.099169	9.09	172
2026-10-20 23:00:00.000000	era5_39.50_-96.25	4	39.5	-96.25	19.1	16.2	10.1	56	13.7	0.97	1020.4	976.6	136	83	53	413.3	278.3	46	5.44	8.42	8.99	10.15	160	164	165	152	10	0	0	0	0.15	1	1	2026-10-17 16:45:05.099169	8.81	165
2026-10-20 23:00:00.000000	era5_39.50_-96.00	4	39.5	-96	18.4	15.9	10	58	13.3	0.89	1020.8	974.6	142	94	48	474.7	274	75	4.72	7.84	8.5	9.57	159	163	164	154	9.7	0	0	0	0.14	1	2	2026-10-17 16:45:05.099169	8.32	164
2026-10-20 23:00:00.000000	era5_39.50_-95.75	4	39.5	-95.75	18.4	16.2	10	58	13.3	0.89	1021.1	981.4	125	68	57	348.3	270	98	4.22	7.34	7.97	9.26	158	160	161	154	8.8	0	0	0	0.13	1	3	2026-10-17 16:45:05.099169	7.81	161
2026-10-20 23:00:00.000000	era5_39.50_-95.50	4	39.5	-95.5	18.2	16.2	10.1	59	13.3	0.86	1021.4	985.4	122	66	56	343	266	87	3.94	7.17	7.83	8.99	153	157	158	151	8.4	0	0	0	0.12	1	3	2026-10-17 16:45:05.099169	7.67	158
2026-10-20 23:00:00.000000	era5_39.50_-95.25	4	39.5	-95.25	18	16	9.9	59	13.1	0.85	1021.6	985.4	123	68	55	358.7	261.4	100	3.85	7.08	7.66	8.59	152	157	159	152	8	0	0	0	0.12	1	3	2026-10-17 16:45:05.099169	7.5	159
2026-10-20 23:00:00.000000	era5_39.50_-95.00	4	39.5	-95	17.9	16.1	9.6	58	12.9	0.86	1021.9	984.1	99	48	51	257	257.3	100	3.36	6.04	6.85	8.46	143	153	155	151	6.1	0	0	0	0.11	1	3	2026-10-17 16:45:05.099169	6.71	155
2026-10-20 23:00:00.000000	era5_39.50_-94.75	4	39.5	-94.75	17.8	15.9	9.7	59	12.9	0.83	1022.3	986.9	100	50	50	271.9	253.3	100	3.34	6.09	6.71	7.84	141	150	154	150	5.6	0	0	0	0.1	1	3	2026-10-17 16:45:05.099169	6.57	154
2026-10-20 23:00:00.000000	era5_39.50_-94.50	4	39.5	-94.5	17.5	15.5	9.2	58	12.5	0.84	1022.6	990.5	99	50	49	278.3	249	100	3.36	6.17	6.76	7.63	150	153	155	148	5.8	0	0	0	0.1	1	3	2026-10-17 16:45:05.099169	6.62	155
2026-10-20 23:00:00.000000	era5_39.50_-94.25	4	39.5	-94.25	17.4	15.3	8.5	56	12.2	0.87	1022.8	985.6	92	46	46	260.2	245	100	3.18	5.82	6.44	7.1	167	164	165	145	5.5	0	0	0	0.1	1	3	2026-10-17 16:45:05.099169	6.31	165
2026-10-20 23:00:00.000000	era5_39.50_-94.00	4	39.5	-94	17.8	15.6	8.1	53	12.2	0.96	1023	988.7	101	54	47	310.4	240.9	98	3.14	5.94	6.47	6.88	171	173	174	144	5.3	0	0	0	0.11	1	3	2026-10-17 16:45:05.099169	6.34	174
2026-10-20 23:00:00.000000	era5_39.50_-93.75	4	39.5	-93.75	18.3	16.2	8.2	52	12.5	1.01	1023.2	995.5	114	68	46	397.4	236.9	95	3.11	5.7	6.02	6.55	174	179	179	146	4	0	0	0	0.11	1	3	2026-10-17 16:45:05.099169	5.9	179

Coverage

Showing the last 223 days of a 2,029-day history (Apr 1, 2021 → Oct 20, 2026). This dataset holds 9.08B rows — too many to count day by day on every visit — so the calendar and the figures below cover the window from Mar 12, 2026.

100.0% complete0 gap days223 days with data

Show coverage history

Coverage: 100.0%Days with data: 223Gaps: 0

2026

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