Heat wave occuring from March 28 2023 to April 03 2023 at -20.5°S 300.0°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Argentina
  • Bolivia, Plurinational State of
  • Paraguay

Duration: 7 days

Time span: March 28 2023 to April 03 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 3.5 °C
  • Mean temperature: 29.1 °C
  • Maximum temperature anomaly: 6.3 °C
  • Maximum temperature: 32.7 °C

Event center: -20.5°S 300.0°E

Area affected: 177862 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2023-Mar-28_to_2023-Apr-03_300.0_-20.5

Heat wave occuring from January 25 2023 to January 28 2023 at -21.0°S 296.0°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Argentina
  • Bolivia, Plurinational State of
  • Paraguay

Duration: 4 days

Time span: January 25 2023 to January 28 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.0 °C
  • Mean temperature: 30.1 °C
  • Maximum temperature anomaly: 6.7 °C
  • Maximum temperature: 35.1 °C

Event center: -21.0°S 296.0°E

Area affected: 69115 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2023-Jan-25_to_2023-Jan-28_296.0_-21.0

Heat wave occuring from January 19 2023 to February 02 2023 at -28.5°S 301.5°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Argentina
  • Brazil
  • Paraguay
  • Uruguay

Duration: 15 days

Time span: January 19 2023 to February 02 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 3.4 °C
  • Mean temperature: 28.8 °C
  • Maximum temperature anomaly: 6.2 °C
  • Maximum temperature: 33.4 °C

Event center: -28.5°S 301.5°E

Area affected: 721326 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2023-Jan-19_to_2023-Feb-02_301.5_-28.5

Heat wave occuring from January 16 2023 to January 21 2023 at -50.5°S 287.0°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Argentina
  • Chile

Duration: 6 days

Time span: January 16 2023 to January 21 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.8 °C
  • Mean temperature: 15.7 °C
  • Maximum temperature anomaly: 8.9 °C
  • Maximum temperature: 25.6 °C

Event center: -50.5°S 287.0°E

Area affected: 399820 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2023-Jan-16_to_2023-Jan-21_287.0_-50.5

Heat wave occuring from January 01 2023 to February 28 2023 at -43.5°S 319.5°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Antarctica
  • Argentina
  • Bolivia, Plurinational State of
  • Brazil
  • Chile
  • Paraguay
  • Uruguay

Duration: 59 days

Time span: January 01 2023 to February 28 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 3.2 °C
  • Mean temperature: 15.3 °C
  • Maximum temperature anomaly: 11.6 °C
  • Maximum temperature: 37.9 °C

Event center: -43.5°S 319.5°E

Area affected: 17534761 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2023-Jan-01_to_2023-Feb-28_319.5_-43.5

Heat wave occuring from December 14 2022 to January 11 2023 at -54.5°S 332.0°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Antarctica
  • Argentina
  • Chile

Duration: 29 days

Time span: December 14 2022 to January 11 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 2.4 °C
  • Mean temperature: 7.7 °C
  • Maximum temperature anomaly: 8.7 °C
  • Maximum temperature: 29.8 °C

Event center: -54.5°S 332.0°E

Area affected: 13038273 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2022-Dec-14_to_2023-Jan-11_332.0_-54.5

Heat wave occuring from November 24 2022 to December 10 2022 at -6.5°S 282.0°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Argentina
  • Bolivia, Plurinational State of
  • Brazil
  • Colombia
  • Ecuador
  • Peru

Duration: 17 days

Time span: November 24 2022 to December 10 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 2.4 °C
  • Mean temperature: 27.7 °C
  • Maximum temperature anomaly: 6.3 °C
  • Maximum temperature: 33.8 °C

Event center: -6.5°S 282.0°E

Area affected: 1878441 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2022-Nov-24_to_2022-Dec-10_282.0_-6.5

Heat wave occuring from November 01 2022 to February 23 2023 at -13.5°S 355.0°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Algeria
  • Angola
  • Antarctica
  • Argentina
  • Benin
  • Bolivia, Plurinational State of
  • Brazil
  • Burkina Faso
  • Cameroon
  • Chile
  • Congo
  • Côte d’Ivoire
  • Equatorial Guinea
  • Eswatini
  • Gabon
  • Gambia
  • Ghana
  • Guinea
  • Guinea-Bissau
  • Liberia
  • Madagascar
  • Mali
  • Mauritania
  • Morocco
  • Mozambique
  • Namibia
  • Niger
  • Nigeria
  • Paraguay
  • Peru
  • Senegal
  • Sierra Leone
  • South Africa
  • Togo
  • Uruguay

Duration: 115 days

Time span: November 01 2022 to February 23 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 2.3 °C
  • Mean temperature: 17.9 °C
  • Maximum temperature anomaly: 12.2 °C
  • Maximum temperature: 38.9 °C

Event center: -13.5°S 355.0°E

Area affected: 48958616 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2022-Nov-01_to_2023-Feb-23_355.0_-13.5

Heat wave occuring from October 14 2022 to October 19 2022 at -46.5°S 288.0°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Argentina
  • Chile

Duration: 6 days

Time span: October 14 2022 to October 19 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 4.1 °C
  • Mean temperature: 10.4 °C
  • Maximum temperature anomaly: 8.9 °C
  • Maximum temperature: 21.4 °C

Event center: -46.5°S 288.0°E

Area affected: 418157 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2022-Oct-14_to_2022-Oct-19_288.0_-46.5

Heat wave occuring from October 08 2022 to November 28 2022 at -14.5°S 287.5°E

Download data: JSON

Event type: Heat wave

Countries affected (identified with ArcGIS Online; provided only for geographical reference):

  • Argentina
  • Bolivia, Plurinational State of
  • Brazil
  • Chile
  • Ecuador
  • Peru
  • Uruguay

Duration: 52 days

Time span: October 08 2022 to November 28 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 3.1 °C
  • Mean temperature: 19.5 °C
  • Maximum temperature anomaly: 9.5 °C
  • Maximum temperature: 35.7 °C

Event center: -14.5°S 287.5°E

Area affected: 4944005 km$^2$


Fig. 1: Map of most extreme temperature anomalies (standardized) experienced during the event. The purple star indicates the center of the extreme event. Green hatching illustrates all areas under the effect of extremes at some time during the event.



Fig. 2: Evolution of temperature at the center of the event. The climatological percentile distribution is illustrated with color shadings.



Fig. 3: Maps illustrating the evolution of standardized temperature anomalies during the event.

Event ID: Heat_wave_2022-Oct-08_to_2022-Nov-28_287.5_-14.5