Catalog > Google WeatherNext 3 forecast, 15 day, 0.05 degree, virtual > Validation report

Google WeatherNext 3 forecast, 15 day, 0.05 degree, virtual validation report

This dataset validation report plots a sample of values from the Google WeatherNext 3 forecast, 15 day, 0.05 degree, virtual dataset over time and across space, comparing where possible to a previously validated reference dataset. It also reports the quantity of unavailable values and their associated timestamps. These analyses are one layer of a multi-layered dataset validation process we perform at dynamical.org and also provide users a preview of the dataset contents.

Report generation start time: 2026-10-31T20:24:59 UTC

Summary

This dataset has been reviewed and is ready for use.

What looks good

Both variables were available at all 8 scanned initializations. The sampled decode check covered 8 of 8 initialization regions and five leads, reporting 80 successfully decoded references.
The plotted fields show consistent geographic orientation and plausible units and ranges.
Trained on point-location station data, this distinct high-resolution model head predicts 0.05° data covering the globe, including over ocean. It is not 0.1° data interpolated to 0.05°.

Review notes

Longitudes use the 0–360 convention, and the horizontal dimensions are named y and x. y holds latitude ascending from south to north and x holds longitude. For example, 100°W is x=260 in this dataset.

Datasets

Role	Name	ID	Version	URL
Validation	Google WeatherNext 3 forecast, 15 day, 0.05 degree, virtual	`google-weathernext3-forecast-15-day-0-05-degree-virtual`	`v0.1.0`	`https://google-weathernext3.r2.dynamical.org/google-weathernext3-forecast-15-day-0-05-degree-virtual/v0.1.0.icechunk`
Reference	NOAA GFS analysis	`noaa-gfs-analysis`	`0.1.0`	`s3://dynamical-noaa-gfs/noaa-gfs-analysis/v0.1.0.icechunk`

Run parameters

Parameter	Value
Validation dataset type	forecast
Validation time range	init_time 2026-06-30T00:00 → 2026-07-01T18:00
Reference time range	time 2021-05-01T00:00 → 2026-10-31T17:00
Point 1	lat=39.7500, lon=255.0000
Point 2	lat=25.0000, lon=300.0000
Spatial comparison time	init=2026-07-01T00:00, lead=24h (reference at 2026-07-02T00:00)
Timeseries period	init=2026-07-01T00:00
Statistic	mean when declared, otherwise standard_deviation
Store type	virtual — availability manifest-probed; value series sampled

Availability

The plot below shows the availability of each variable over time — light red marks unavailable data, dark green marks present data.

availability heatmap

Every variable is complete at every scanned position.

Decode health

80 references decoded successfully, sampled across 8 of 8 append-dim regions, 5 leads and up to 6 present levels per group variable.

Per-variable details

`dew_point_temperature_2m` [statistic=mean]

Metadata

Field	Value
units	`degree_Celsius`
long_name	2 metre dewpoint temperature
short_name	2d
standard_name	dew_point_temperature
step_type	instant
sampled statistic	statistic=mean
comment	WeatherNext 3's station-trained head, defined everywhere.

Point time series — 2026-06-30T00:00 - 2026-07-01T18:00, sampled lead=2h

Point	min	mean	max
P1	-2.456	3.913	9.305
P2	22.63	23.23	23.72

Spatial — init=2026-07-01T00:00, lead=24h (reference not available)

Source	min	mean	max
Validation	-70.11	4.337	29.89

Temporal — init=2026-07-01T00:00

Source	min	mean	max
P1 Validation	0.7218	8.721	12.54
P2 Validation	22.37	23.73	24.53

Availability — 8 of 8 positions complete

`temperature_2m` [statistic=mean]