Heat wave occuring from February 21 2026 to March 04 2026 at 20.5°N 110.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Hong Kong
  • Lao People’s Democratic Republic
  • Taiwan, Province of China
  • Thailand
  • Viet Nam

Duration: 12 days

Time span: February 21 2026 to March 04 2026

Statistics over entire affected area:

  • Mean temperature anomaly: 2.8 °C
  • Mean temperature: 24.6 °C
  • Maximum temperature anomaly: 8.2 °C
  • Maximum temperature: 29.5 °C

Event center: 20.5°N 110.5°E

Area affected: 1128611 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_2026-Feb-21_to_2026-Mar-04_110.5_20.5

Heat wave occuring from August 17 2025 to August 23 2025 at 18.5°N 120.0°E

Download data: JSON

Event type: Heat wave

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

  • Philippines
  • Taiwan, Province of China

Duration: 7 days

Time span: August 17 2025 to August 23 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 1.2 °C
  • Mean temperature: 28.9 °C
  • Maximum temperature anomaly: 1.9 °C
  • Maximum temperature: 29.5 °C

Event center: 18.5°N 120.0°E

Area affected: 174221 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_2025-Aug-17_to_2025-Aug-23_120.0_18.5

Heat wave occuring from July 03 2025 to July 23 2025 at 12.5°N 109.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Taiwan, Province of China
  • Viet Nam

Duration: 21 days

Time span: July 03 2025 to July 23 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 1.3 °C
  • Mean temperature: 29.7 °C
  • Maximum temperature anomaly: 3.6 °C
  • Maximum temperature: 32.8 °C

Event center: 12.5°N 109.5°E

Area affected: 801282 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_2025-Jul-03_to_2025-Jul-23_109.5_12.5

Heat wave occuring from August 21 2023 to September 06 2023 at 23.5°N 120.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Taiwan, Province of China

Duration: 17 days

Time span: August 21 2023 to September 06 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 1.2 °C
  • Mean temperature: 29.1 °C
  • Maximum temperature anomaly: 2.0 °C
  • Maximum temperature: 29.9 °C

Event center: 23.5°N 120.0°E

Area affected: 539739 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-Aug-21_to_2023-Sep-06_120.0_23.5

Heat wave occuring from August 02 2023 to August 09 2023 at 23.5°N 121.5°E

Download data: JSON

Event type: Heat wave

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

  • Taiwan, Province of China

Duration: 8 days

Time span: August 02 2023 to August 09 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 1.4 °C
  • Mean temperature: 28.3 °C
  • Maximum temperature anomaly: 3.4 °C
  • Maximum temperature: 30.6 °C

Event center: 23.5°N 121.5°E

Area affected: 70422 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-Aug-02_to_2023-Aug-09_121.5_23.5

Heat wave occuring from June 18 2023 to June 25 2023 at 22.5°N 120.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Hong Kong
  • Taiwan, Province of China

Duration: 8 days

Time span: June 18 2023 to June 25 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 1.1 °C
  • Mean temperature: 29.1 °C
  • Maximum temperature anomaly: 2.5 °C
  • Maximum temperature: 30.8 °C

Event center: 22.5°N 120.0°E

Area affected: 534133 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-Jun-18_to_2023-Jun-25_120.0_22.5

Heat wave occuring from February 19 2022 to January 25 2023 at -11.0°S 150.0°E

Download data: JSON

Event type: Heat wave

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

  • Antarctica
  • Australia
  • Bangladesh
  • Bhutan
  • Cambodia
  • Canada
  • China
  • Christmas Island
  • Cook Islands
  • Fiji
  • French Polynesia
  • Hong Kong
  • India
  • Indonesia
  • Japan
  • Kazakhstan
  • Korea, Democratic People’s Republic of
  • Korea, Republic of
  • Kyrgyzstan
  • Lao People’s Democratic Republic
  • Malaysia
  • Maldives
  • Mongolia
  • Myanmar
  • Nepal
  • New Caledonia
  • New Zealand
  • Norfolk Island
  • Northern Mariana Islands
  • Oman
  • Pakistan
  • Papua New Guinea
  • Philippines
  • Russian Federation
  • Solomon Islands
  • Sri Lanka
  • Taiwan, Province of China
  • Thailand
  • Timor-Leste
  • Tonga
  • United States
  • Vanuatu
  • Viet Nam

Duration: 341 days

Time span: February 19 2022 to January 25 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 2.6 °C
  • Mean temperature: 19.0 °C
  • Maximum temperature anomaly: 33.4 °C
  • Maximum temperature: 37.4 °C

Event center: -11.0°S 150.0°E

Area affected: 154052228 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-Feb-19_to_2023-Jan-25_150.0_-11.0

Heat wave occuring from January 15 2022 to January 28 2022 at 23.5°N 120.0°E

Download data: JSON

Event type: Heat wave

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

  • Taiwan, Province of China

Duration: 14 days

Time span: January 15 2022 to January 28 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 2.7 °C
  • Mean temperature: 18.2 °C
  • Maximum temperature anomaly: 5.5 °C
  • Maximum temperature: 20.5 °C

Event center: 23.5°N 120.0°E

Area affected: 50703 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-Jan-15_to_2022-Jan-28_120.0_23.5

Heat wave occuring from July 22 2021 to July 30 2021 at 25.5°N 122.5°E

Download data: JSON

Event type: Heat wave

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

  • Taiwan, Province of China

Duration: 9 days

Time span: July 22 2021 to July 30 2021

Statistics over entire affected area:

  • Mean temperature anomaly: 1.3 °C
  • Mean temperature: 29.2 °C
  • Maximum temperature anomaly: 2.7 °C
  • Maximum temperature: 30.7 °C

Event center: 25.5°N 122.5°E

Area affected: 64770 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_2021-Jul-22_to_2021-Jul-30_122.5_25.5

Heat wave occuring from July 07 2021 to July 17 2021 at 18.0°N 118.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Hong Kong
  • Philippines
  • Taiwan, Province of China

Duration: 11 days

Time span: July 07 2021 to July 17 2021

Statistics over entire affected area:

  • Mean temperature anomaly: 1.3 °C
  • Mean temperature: 29.3 °C
  • Maximum temperature anomaly: 3.2 °C
  • Maximum temperature: 32.7 °C

Event center: 18.0°N 118.5°E

Area affected: 627159 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_2021-Jul-07_to_2021-Jul-17_118.5_18.0