Category: Heat waves affecting China

Heat wave occuring from April 19 2022 to April 21 2022 at 47.0°N 132.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Russian Federation

Duration: 3 days

Time span: April 19 2022 to April 21 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 8.3 °C
  • Mean temperature: 14.9 °C
  • Maximum temperature anomaly: 14.8 °C
  • Maximum temperature: 22.5 °C

Event center: 47.0°N 132.0°E

Area affected: 271619 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-Apr-19_to_2022-Apr-21_132.0_47.0

Heat wave occuring from April 19 2022 to April 23 2022 at 36.5°N 90.5°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 5 days

Time span: April 19 2022 to April 23 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 6.3 °C
  • Mean temperature: -2.2 °C
  • Maximum temperature anomaly: 9.7 °C
  • Maximum temperature: 10.3 °C

Event center: 36.5°N 90.5°E

Area affected: 200579 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-Apr-19_to_2022-Apr-23_90.5_36.5

Heat wave occuring from April 15 2022 to April 22 2022 at 39.5°N 123.0°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 8 days

Time span: April 15 2022 to April 22 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 3.3 °C
  • Mean temperature: 13.4 °C
  • Maximum temperature anomaly: 7.7 °C
  • Maximum temperature: 22.2 °C

Event center: 39.5°N 123.0°E

Area affected: 205523 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-Apr-15_to_2022-Apr-22_123.0_39.5

Heat wave occuring from March 24 2022 to March 26 2022 at 39.5°N 125.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Korea, Democratic People’s Republic of

Duration: 3 days

Time span: March 24 2022 to March 26 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 3.5 °C
  • Mean temperature: 7.6 °C
  • Maximum temperature anomaly: 5.3 °C
  • Maximum temperature: 10.6 °C

Event center: 39.5°N 125.0°E

Area affected: 54752 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-Mar-24_to_2022-Mar-26_125.0_39.5

Heat wave occuring from March 08 2022 to March 14 2022 at 44.0°N 141.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Japan
  • Korea, Democratic People’s Republic of
  • Russian Federation

Duration: 7 days

Time span: March 08 2022 to March 14 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 5.6 °C
  • Mean temperature: 3.0 °C
  • Maximum temperature anomaly: 12.5 °C
  • Maximum temperature: 7.8 °C

Event center: 44.0°N 141.0°E

Area affected: 345180 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-Mar-08_to_2022-Mar-14_141.0_44.0

Heat wave occuring from March 02 2022 to March 05 2022 at 31.5°N 114.0°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 4 days

Time span: March 02 2022 to March 05 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 6.5 °C
  • Mean temperature: 15.7 °C
  • Maximum temperature anomaly: 9.0 °C
  • Maximum temperature: 19.5 °C

Event center: 31.5°N 114.0°E

Area affected: 245002 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-Mar-02_to_2022-Mar-05_114.0_31.5

Heat wave occuring from March 01 2022 to March 05 2022 at 25.0°N 116.5°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 5 days

Time span: March 01 2022 to March 05 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 6.9 °C
  • Mean temperature: 19.9 °C
  • Maximum temperature anomaly: 8.7 °C
  • Maximum temperature: 23.8 °C

Event center: 25.0°N 116.5°E

Area affected: 131532 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-Mar-01_to_2022-Mar-05_116.5_25.0

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 February 16 2022 to February 20 2022 at 20.5°N 98.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Lao People’s Democratic Republic
  • Myanmar
  • Thailand

Duration: 5 days

Time span: February 16 2022 to February 20 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 2.6 °C
  • Mean temperature: 23.5 °C
  • Maximum temperature anomaly: 4.0 °C
  • Maximum temperature: 27.8 °C

Event center: 20.5°N 98.5°E

Area affected: 57957 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-16_to_2022-Feb-20_98.5_20.5

Heat wave occuring from January 26 2022 to February 01 2022 at 53.5°N 121.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Russian Federation

Duration: 7 days

Time span: January 26 2022 to February 01 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 8.1 °C
  • Mean temperature: -17.0 °C
  • Maximum temperature anomaly: 15.6 °C
  • Maximum temperature: -12.5 °C

Event center: 53.5°N 121.5°E

Area affected: 168289 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-26_to_2022-Feb-01_121.5_53.5