DirectNormalIrradianceFromCloudStatus

Seed 1

This series contains Direct Normal Irradiance for a location in Sinaloa, Mexico.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction.

At the beginning of the series, the weather was cloudy.
At 2022-07-12 11:00:00, the weather became clear.
At 2022-07-12 19:00:00, the weather became cloudy.
At 2022-07-13 12:00:00, the weather became clear.
At 2022-07-13 13:00:00, the weather became cloudy.
At 2022-07-14 06:00:00, we expect that the weather will become clear.
At 2022-07-14 07:00:00, we expect that the weather will become cloudy.
At 2022-07-14 10:00:00, we expect that the weather will become clear.
At 2022-07-14 18:00:00, we expect that the weather will become cloudy.

Types of context: ['Intemporal information', 'Covariate information']

Capabilities: ['Reasoning: Deduction']

Seed 2

This series contains Direct Normal Irradiance for a location in Ontario, Canada.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction.

At the beginning of the series, the weather was cloudy.
At 2022-08-08 01:00:00, the weather became clear.
At 2022-08-08 02:00:00, the weather became cloudy.
At 2022-08-08 04:00:00, the weather became clear.
At 2022-08-08 05:00:00, the weather became cloudy.
At 2022-08-08 18:00:00, the weather became clear.
At 2022-08-10 11:00:00, we expect that the weather will become cloudy.
At 2022-08-10 12:00:00, we expect that the weather will become clear.
At 2022-08-10 13:00:00, we expect that the weather will become cloudy.
At 2022-08-10 14:00:00, we expect that the weather will become clear.

Types of context: ['Intemporal information', 'Covariate information']

Capabilities: ['Reasoning: Deduction']

Seed 3

This series contains Direct Normal Irradiance for a location in Amazonas, Brazil.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction.

At the beginning of the series, the weather was cloudy.
At 2022-10-13 06:00:00, the weather became clear.
At 2022-10-13 08:00:00, the weather became cloudy.
At 2022-10-13 12:00:00, the weather became clear.
At 2022-10-13 14:00:00, the weather became cloudy.
At 2022-10-14 12:00:00, the weather became clear.
At 2022-10-14 13:00:00, the weather became cloudy.

Types of context: ['Intemporal information', 'Covariate information']

Capabilities: ['Reasoning: Deduction']

Seed 4

This series contains Direct Normal Irradiance for a location in Florida, United States.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction.

At the beginning of the series, the weather was cloudy.
At 2022-01-22 20:00:00, the weather became clear.
At 2022-01-22 21:00:00, the weather became cloudy.
At 2022-01-22 23:00:00, the weather became clear.
At 2022-01-23 00:00:00, the weather became cloudy.
At 2022-01-23 01:00:00, the weather became clear.
At 2022-01-23 09:00:00, the weather became cloudy.
At 2022-01-23 11:00:00, the weather became clear.
At 2022-01-24 14:00:00, we expect that the weather will become cloudy.
At 2022-01-24 16:00:00, we expect that the weather will become clear.
At 2022-01-24 17:00:00, we expect that the weather will become cloudy.

Types of context: ['Intemporal information', 'Covariate information']

Capabilities: ['Reasoning: Deduction']

Seed 5

This series contains Direct Normal Irradiance for a location in Amazonas, Brazil.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction.

At the beginning of the series, the weather was clear.
At 2022-06-03 02:00:00, the weather became cloudy.
At 2022-06-03 10:00:00, the weather became clear.
At 2022-06-03 14:00:00, the weather became cloudy.
At 2022-06-04 20:00:00, the weather became clear.
At 2022-06-04 21:00:00, the weather became cloudy.
At 2022-06-05 01:00:00, we expect that the weather will become clear.
At 2022-06-05 02:00:00, we expect that the weather will become cloudy.
At 2022-06-05 07:00:00, we expect that the weather will become clear.
At 2022-06-05 09:00:00, we expect that the weather will become cloudy.

Types of context: ['Intemporal information', 'Covariate information']

Capabilities: ['Reasoning: Deduction']