Category: Extremes affecting China

Heat wave occuring from December 27 2023 to January 03 2024 at 25.0°N 105.0°E


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Download data: JSON

Event type: Heat wave

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

  • China
  • Viet Nam

Duration: 8 days

Time span: December 27 2023 to January 03 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 5.1 °C
  • Mean temperature: 15.6 °C
  • Maximum temperature anomaly: 8.4 °C
  • Maximum temperature: 23.0 °C

Event center: 25.0°N 105.0°E

Area affected: 233646 km$^2$


Fig. 1: Map of most extreme 5-day mean 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.

Heat wave occuring from December 27 2023 to January 04 2024 at 48.5°N 120.5°E


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Download data: JSON

Event type: Heat wave

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

  • China
  • Mongolia

Duration: 9 days

Time span: December 27 2023 to January 04 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 7.8 °C
  • Mean temperature: -15.4 °C
  • Maximum temperature anomaly: 10.9 °C
  • Maximum temperature: -10.5 °C

Event center: 48.5°N 120.5°E

Area affected: 55537 km$^2$


Fig. 1: Map of most extreme 5-day mean 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.

Heat wave occuring from December 22 2023 to January 03 2024 at 46.5°N 94.0°E


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Download data: JSON

Event type: Heat wave

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

  • China
  • Kazakhstan
  • Mongolia
  • Russian Federation

Duration: 13 days

Time span: December 22 2023 to January 03 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 7.2 °C
  • Mean temperature: -10.3 °C
  • Maximum temperature anomaly: 12.8 °C
  • Maximum temperature: -1.9 °C

Event center: 46.5°N 94.0°E

Area affected: 99277 km$^2$


Fig. 1: Map of most extreme 5-day mean 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.

Heat wave occuring from December 19 2023 to December 31 2023 at 32.5°N 78.5°E


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Download data: JSON

Event type: Heat wave

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

  • China
  • India

Duration: 13 days

Time span: December 19 2023 to December 31 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 6.3 °C
  • Mean temperature: -13.8 °C
  • Maximum temperature anomaly: 11.9 °C
  • Maximum temperature: 0.2 °C

Event center: 32.5°N 78.5°E

Area affected: 87339 km$^2$


Fig. 1: Map of most extreme 5-day mean 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.

Heat wave occuring from December 18 2023 to January 08 2024 at 42.5°N 78.0°E


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Download data: JSON

Event type: Heat wave

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

  • Afghanistan
  • Azerbaijan
  • China
  • India
  • Iran, Islamic Republic of
  • Kazakhstan
  • Kyrgyzstan
  • Pakistan
  • Russian Federation
  • Tajikistan
  • Turkmenistan
  • Uzbekistan

Duration: 22 days

Time span: December 18 2023 to January 08 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 11.0 °C
  • Mean temperature: -0.9 °C
  • Maximum temperature anomaly: 22.6 °C
  • Maximum temperature: 22.2 °C

Event center: 42.5°N 78.0°E

Area affected: 7704618 km$^2$


Fig. 1: Map of most extreme 5-day mean 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.

Heat wave occuring from November 23 2023 to November 30 2023 at 29.0°N 104.5°E


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Download data: JSON

Event type: Heat wave

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

  • China

Duration: 8 days

Time span: November 23 2023 to November 30 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.4 °C
  • Mean temperature: 13.3 °C
  • Maximum temperature anomaly: 8.2 °C
  • Maximum temperature: 17.9 °C

Event center: 29.0°N 104.5°E

Area affected: 65458 km$^2$


Fig. 1: Map of most extreme 5-day mean 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.

Heat wave occuring from November 17 2023 to November 30 2023 at 39.0°N 90.5°E


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Download data: JSON

Event type: Heat wave

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

  • China

Duration: 14 days

Time span: November 17 2023 to November 30 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.8 °C
  • Mean temperature: -2.8 °C
  • Maximum temperature anomaly: 7.6 °C
  • Maximum temperature: 5.6 °C

Event center: 39.0°N 90.5°E

Area affected: 55469 km$^2$


Fig. 1: Map of most extreme 5-day mean 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.