Category: Heat waves affecting China

Heat wave occuring from February 25 2023 to March 26 2023 at 13.5°N 90.0°E

Download data: JSON

Event type: Heat wave

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

  • Bangladesh
  • Bhutan
  • China
  • India
  • Myanmar

Duration: 30 days

Time span: February 25 2023 to March 26 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 1.4 °C
  • Mean temperature: 25.4 °C
  • Maximum temperature anomaly: 5.4 °C
  • Maximum temperature: 29.7 °C

Event center: 13.5°N 90.0°E

Area affected: 1434239 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-Feb-25_to_2023-Mar-26_90.0_13.5

Heat wave occuring from February 24 2023 to February 28 2023 at 48.0°N 122.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Russian Federation

Duration: 5 days

Time span: February 24 2023 to February 28 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 9.5 °C
  • Mean temperature: -8.3 °C
  • Maximum temperature anomaly: 14.4 °C
  • Maximum temperature: 5.4 °C

Event center: 48.0°N 122.0°E

Area affected: 390446 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-Feb-24_to_2023-Feb-28_122.0_48.0

Heat wave occuring from February 21 2023 to February 26 2023 at 44.5°N 91.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Mongolia

Duration: 6 days

Time span: February 21 2023 to February 26 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 5.6 °C
  • Mean temperature: 2.3 °C
  • Maximum temperature anomaly: 10.6 °C
  • Maximum temperature: 10.0 °C

Event center: 44.5°N 91.5°E

Area affected: 292059 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-Feb-21_to_2023-Feb-26_91.5_44.5

Heat wave occuring from February 04 2023 to February 09 2023 at 42.5°N 90.0°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 6 days

Time span: February 04 2023 to February 09 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.8 °C
  • Mean temperature: 0.7 °C
  • Maximum temperature anomaly: 6.7 °C
  • Maximum temperature: 4.5 °C

Event center: 42.5°N 90.0°E

Area affected: 75185 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-Feb-04_to_2023-Feb-09_90.0_42.5

Heat wave occuring from January 30 2023 to February 01 2023 at 30.0°N 112.5°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 3 days

Time span: January 30 2023 to February 01 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 5.6 °C
  • Mean temperature: 11.1 °C
  • Maximum temperature anomaly: 8.1 °C
  • Maximum temperature: 14.8 °C

Event center: 30.0°N 112.5°E

Area affected: 75203 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-30_to_2023-Feb-01_112.5_30.0

Heat wave occuring from January 30 2023 to February 05 2023 at 30.0°N 104.0°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 7 days

Time span: January 30 2023 to February 05 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.2 °C
  • Mean temperature: 11.7 °C
  • Maximum temperature anomaly: 5.9 °C
  • Maximum temperature: 13.7 °C

Event center: 30.0°N 104.0°E

Area affected: 59493 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-30_to_2023-Feb-05_104.0_30.0

Heat wave occuring from January 29 2023 to February 05 2023 at 38.5°N 99.5°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: January 29 2023 to February 05 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 6.9 °C
  • Mean temperature: -9.6 °C
  • Maximum temperature anomaly: 10.7 °C
  • Maximum temperature: -1.5 °C

Event center: 38.5°N 99.5°E

Area affected: 114207 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-29_to_2023-Feb-05_99.5_38.5

Heat wave occuring from January 29 2023 to February 07 2023 at 43.0°N 85.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Kazakhstan

Duration: 10 days

Time span: January 29 2023 to February 07 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 6.1 °C
  • Mean temperature: -7.7 °C
  • Maximum temperature anomaly: 9.4 °C
  • Maximum temperature: 1.5 °C

Event center: 43.0°N 85.0°E

Area affected: 56368 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-29_to_2023-Feb-07_85.0_43.0

Heat wave occuring from January 28 2023 to January 31 2023 at 38.0°N 114.5°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: January 28 2023 to January 31 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.6 °C
  • Mean temperature: 3.1 °C
  • Maximum temperature anomaly: 7.2 °C
  • Maximum temperature: 6.5 °C

Event center: 38.0°N 114.5°E

Area affected: 70496 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-28_to_2023-Jan-31_114.5_38.0

Heat wave occuring from January 26 2023 to January 31 2023 at 54.0°N 92.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Mongolia
  • Russian Federation

Duration: 6 days

Time span: January 26 2023 to January 31 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 10.4 °C
  • Mean temperature: -10.7 °C
  • Maximum temperature anomaly: 16.5 °C
  • Maximum temperature: -2.3 °C

Event center: 54.0°N 92.0°E

Area affected: 1127760 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-26_to_2023-Jan-31_92.0_54.0