Humidity Adjusted Cooling and Heating Degree Days in Saudi Arabia’s Regions

This dataset contains Humidity Adjusted Cooling and Heating Degree Days in Saudi Arabia’s Regions from 1990-2019.

Follow datasource.kapsarc.org for timely data to advance energy economics research.

Source: Author’s Calculation

We calculate humidity-adjusted CDD and HDD, NOAA’s National Weather Service (NWS) Heat Index (HI) is used to measure the human-perceived equivalent temperature.

It is calculated through a multiple regression analysis of Steadman’s equations for wind and solar radiation by using only two independent variables, ambient temperature (T) and relative humidity (Rh).

To calculate the NWS HI, the regression analyses is applied to the relationships among wind and solar radiation with independent variables T and Rh.

The dataset could be used by researchers who model residential electricity demand, studies of energy efficiency, and policymakers to base their potential policy scenarios on weather conditions.

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Year

No description available for this field.

Region

No description available for this field.

Cooling and Heating Degree Days

No description available for this field.

Name (identifier)	coolinh_and_heating_degree_days
Type	text
Sample

Value

No description available for this field.

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World Average Degree Days Database

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A global degree days database for energy-related applications

About the Project
Saudi Arabia Hourly Climate Integrated Surface Data

Saudi Arabia hourly climate integrated surface data with the below data observations,
Monthly Values of Relative Humidity, Temperature, Rainfall, Storms and Wind Speed

This dataset contains Bahrain Monthly Values of Relative Humidity, Temperature, Rainfall, Sunshine Hours, Thunder Storm, Dust Storm, Fog and Wind Speed for Data from Bahrain Open Data Portal. Follow datasource.kapsarc.org for timely data to advance energy economics research.