Baselight

Global Warming On Earth

my dataset is about warming temperature in Earth

@kaggle.willianoliveiragibin_global_warming_on_earth

About this Dataset

Global Warming On Earth

The data this week comes from the NASA GISS Surface Temperature Analysis (GISTEMP v4). This datasets are tables of global and hemispheric monthly means and zonal annual means. They combine land-surface, air and sea-surface water temperature anomalies (Land-Ocean Temperature Index, L-OTI). The values in the tables are deviations from the corresponding 1951-1980 means.

The GISS Surface Temperature Analysis version 4 (GISTEMP v4) is an estimate of global surface temperature change. Graphs and tables are updated around the middle of every month using current data files from NOAA GHCN v4 (meteorological stations) and ERSST v5 (ocean areas), combined as described in their publications Hansen et al. (2010) and Lenssen et al. (2019). These updated files incorporate reports for the previous month and also late reports and corrections for earlier months.

When comparing seasonal temperatures, it is convenient to use “meteorological seasons” based on temperature and defined as groupings of whole months. Thus, Dec-Jan-Feb (DJF) is the Northern Hemisphere meteorological winter, Mar-Apr-May (MAM) is N.H. meteorological spring, Jun-Jul-Aug (JJA) is N.H. meteorological summer and Sep-Oct-Nov (SON) is N.H. meteorological autumn. String these four seasons together and you have the meteorological year that begins on Dec. 1 and ends on Nov. 30 (D-N). The full year is Jan to Dec (J-D). Brian Bartling

Tables

Global Temps

@kaggle.willianoliveiragibin_global_warming_on_earth.global_temps
  • 22.93 KB
  • 144 rows
  • 19 columns
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CREATE TABLE global_temps (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "j_d" DOUBLE,
  "d_n" DOUBLE,
  "djf" DOUBLE,
  "mam" DOUBLE,
  "jja" DOUBLE,
  "son" DOUBLE
);

Nh Temps

@kaggle.willianoliveiragibin_global_warming_on_earth.nh_temps
  • 23.37 KB
  • 144 rows
  • 19 columns
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CREATE TABLE nh_temps (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "j_d" DOUBLE,
  "d_n" DOUBLE,
  "djf" DOUBLE,
  "mam" DOUBLE,
  "jja" DOUBLE,
  "son" DOUBLE
);

Sh Temps

@kaggle.willianoliveiragibin_global_warming_on_earth.sh_temps
  • 22.52 KB
  • 144 rows
  • 19 columns
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CREATE TABLE sh_temps (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "j_d" DOUBLE,
  "d_n" DOUBLE,
  "djf" DOUBLE,
  "mam" DOUBLE,
  "jja" DOUBLE,
  "son" DOUBLE
);

Zonann Temps

@kaggle.willianoliveiragibin_global_warming_on_earth.zonann_temps
  • 19.09 KB
  • 143 rows
  • 15 columns
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CREATE TABLE zonann_temps (
  "year" BIGINT,
  "glob" DOUBLE,
  "nhem" DOUBLE,
  "shem" DOUBLE,
  "n_24n_90n" DOUBLE,
  "n_24s_24n" DOUBLE,
  "n_90s_24s" DOUBLE,
  "n_64n_90n" DOUBLE,
  "n_44n_64n" DOUBLE,
  "n_24n_44n" DOUBLE,
  "equ_24n" DOUBLE,
  "n_24s_equ" DOUBLE,
  "n_44s_24s" DOUBLE,
  "n_64s_44s" DOUBLE,
  "n_90s_64s" DOUBLE
);