Category: Heat waves affecting China

Download data: JSON

Event type: Heat wave

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

• China

Duration: 4 days

Time span: June 09 2023 to June 12 2023

Statistics over entire affected area:

• Mean temperature anomaly: 3.8 °C
• Mean temperature: 28.1 °C
• Maximum temperature anomaly: 5.8 °C
• Maximum temperature: 31.6 °C

Event center: 30.0°N 111.5°E

Area affected: 143755 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-09_to_2023-Jun-12_111.5_30.0

Download data: JSON

Event type: Heat wave

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

• China

Duration: 7 days

Time span: June 08 2023 to June 14 2023

Statistics over entire affected area:

• Mean temperature anomaly: 3.8 °C
• Mean temperature: 23.9 °C
• Maximum temperature anomaly: 5.8 °C
• Maximum temperature: 30.3 °C

Event center: 31.5°N 105.0°E

Area affected: 151915 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-08_to_2023-Jun-14_105.0_31.5

Download data: JSON

Event type: Heat wave

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

• China

Duration: 7 days

Time span: June 06 2023 to June 12 2023

Statistics over entire affected area:

• Mean temperature anomaly: 3.8 °C
• Mean temperature: 26.4 °C
• Maximum temperature anomaly: 7.0 °C
• Maximum temperature: 31.2 °C

Event center: 35.5°N 119.5°E

Area affected: 210725 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-06_to_2023-Jun-12_119.5_35.5

Download data: JSON

Event type: Heat wave

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

• China

Duration: 13 days

Time span: May 29 2023 to June 10 2023

Statistics over entire affected area:

• Mean temperature anomaly: 2.7 °C
• Mean temperature: 21.0 °C
• Maximum temperature anomaly: 5.5 °C
• Maximum temperature: 28.8 °C

Event center: 38.5°N 124.0°E

Area affected: 114870 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-May-29_to_2023-Jun-10_124.0_38.5

Download data: JSON

Event type: Heat wave

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

• China

Duration: 8 days

Time span: May 17 2023 to May 24 2023

Statistics over entire affected area:

• Mean temperature anomaly: 2.4 °C
• Mean temperature: 29.4 °C
• Maximum temperature anomaly: 3.9 °C
• Maximum temperature: 31.4 °C

Event center: 18.5°N 109.0°E

Area affected: 124566 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-May-17_to_2023-May-24_109.0_18.5

Download data: JSON

Event type: Heat wave

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

• China

Duration: 4 days

Time span: May 13 2023 to May 16 2023

Statistics over entire affected area:

• Mean temperature anomaly: 5.5 °C
• Mean temperature: 20.7 °C
• Maximum temperature anomaly: 9.1 °C
• Maximum temperature: 26.9 °C

Event center: 37.0°N 104.5°E

Area affected: 51930 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-May-13_to_2023-May-16_104.5_37.0