Earth's curvature effect on global warming (1850–2300)

Data Set

Model : CMIP6 MRI-ESM2-0 (Japan) 

Scenario : historical + SSP5-8.5 experiment

Area : global (-90°S~90°N, -180°W~180°E)

Period : 1850-01-01 ~ 2300-12-31

Horizontal resolution : 1.125° × 1.125° 

Temporal resolution : daily

Variable : daily maximum near-surface air temperature

Source: https://doi.org/10.24381/cds.c866074c

Data1

Data1.xlsx:

(a) Year 1850: Annual average temperature in 1850

(b) Year 2000−Year 1850: Difference between the present (Year 2000) and 1850

(c) Year 2150−Year 1850: Difference between the near future (Year 2150) and 1850

(d) Year 2300−Year 1850: Difference between the future (Year 2300) and 1850

Longitude and Latitude: The first column and row represent longitude and latitude, containing global temperature data.

Code1.py: Source code for processing Data1.xlsx

Data 2

Weighted Analysis: To analyze the Earth's curvature effect, geodetic weights were applied using cosine weighting based on latitude (w(ϕ) = cos(ϕ), where ϕ represents latitude).

Dataset :

weighted: Using cosine weighting

unweighted: Without using cosine weighting

Difference: Difference between the two (Difference (weighted – unweighted)).

Code2.py : Source code for processing and analyzing the data contained in Data2.xlsx.

Data 3

Data3.xlsx : 

(a) Year 1850: Occurrence frequency of daily maximum near-surface air temperatures equal to or exceeding 35°C in the year 1850

(b) Year 2000 – Year 1850: Difference in occurrence frequency between the present (Year 2000) and 1850

(c) Year 2150 – Year 1850: Difference in occurrence frequency between the near future (Year 2150) and 1850

(d) Year 2300 – Year 1850: Difference in occurrence frequency between the future (Year 2300) and 1850.

Longitude and Latitude: The first column and row represent longitude and latitude, encompassing global temperature occurrence data.

Code3.py: Source code for processing and analyzing the data contained in Data3.xlsx.

Data 4

(a) Frequency (weighted): Counts the occurrence of temperatures between 30°C and 60°C from 1850 to 2300 using cosine weighting.

(b) Frequency (unweighted): Counts the occurrence of temperatures between 30°C and 60°C without using cosine weighting.

(c) Difference (weighted – unweighted): The difference between (a) Frequency (weighted) and (b) Frequency (unweighted).

(d) Difference (weighted – unweighted) mean: The mean of (c) Difference (weighted – unweighted) across all years.

Acknowledgments

This work was also supported by Global - Learning & Academic research institution for Master’s·PhD students, and Postdocs (LAMP) Program of the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (No. RS-2023-00301914).