Category: Extremes affecting China

Cold spell occuring from January 20 2024 to January 27 2024 at 40.0°N 112.5°E

Download data: JSON

Event type: Cold spell

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

  • China
  • Mongolia

Duration: 8 days

Time span: January 20 2024 to January 27 2024

Statistics over entire affected area:

  • Mean temperature anomaly: -7.7 °C
  • Mean temperature: -17.3 °C
  • Minimum temperature anomaly: -12.7 °C
  • Minimum temperature: -29.3 °C

Event center: 40.0°N 112.5°E

Area affected: 1119628 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: Cold_spell_2024-Jan-20_to_2024-Jan-27_112.5_40.0

Cold spell occuring from January 19 2024 to January 21 2024 at 50.5°N 123.0°E

Download data: JSON

Event type: Cold spell

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

  • China

Duration: 3 days

Time span: January 19 2024 to January 21 2024

Statistics over entire affected area:

  • Mean temperature anomaly: -6.8 °C
  • Mean temperature: -31.0 °C
  • Minimum temperature anomaly: -9.2 °C
  • Minimum temperature: -33.8 °C

Event center: 50.5°N 123.0°E

Area affected: 74098 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: Cold_spell_2024-Jan-19_to_2024-Jan-21_123.0_50.5

Heat wave occuring from January 11 2024 to January 14 2024 at 34.0°N 124.5°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 11 2024 to January 14 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 4.0 °C
  • Mean temperature: 8.2 °C
  • Maximum temperature anomaly: 5.6 °C
  • Maximum temperature: 11.2 °C

Event center: 34.0°N 124.5°E

Area affected: 103910 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_2024-Jan-11_to_2024-Jan-14_124.5_34.0

Cold spell occuring from December 31 2023 to January 30 2024 at 31.5°N 74.0°E

Download data: JSON

Event type: Cold spell

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

  • Bangladesh
  • China
  • India
  • Nepal
  • Pakistan

Duration: 31 days

Time span: December 31 2023 to January 30 2024

Statistics over entire affected area:

  • Mean temperature anomaly: -3.6 °C
  • Mean temperature: 10.2 °C
  • Minimum temperature anomaly: -6.9 °C
  • Minimum temperature: -13.9 °C

Event center: 31.5°N 74.0°E

Area affected: 1181059 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: Cold_spell_2023-Dec-31_to_2024-Jan-30_74.0_31.5

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

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: 8.0 °C
  • Mean temperature: -14.8 °C
  • Maximum temperature anomaly: 10.9 °C
  • Maximum temperature: -10.5 °C

Event center: 48.5°N 120.5°E

Area affected: 101090 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-Dec-27_to_2024-Jan-04_120.5_48.5

Heat wave occuring from December 27 2023 to January 02 2024 at 41.5°N 90.0°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 7 days

Time span: December 27 2023 to January 02 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 4.4 °C
  • Mean temperature: -4.5 °C
  • Maximum temperature anomaly: 6.1 °C
  • Maximum temperature: -0.2 °C

Event center: 41.5°N 90.0°E

Area affected: 71654 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-Dec-27_to_2024-Jan-02_90.0_41.5

Heat wave occuring from December 23 2023 to December 31 2023 at 37.0°N 84.5°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 9 days

Time span: December 23 2023 to December 31 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 4.9 °C
  • Mean temperature: -4.7 °C
  • Maximum temperature anomaly: 10.6 °C
  • Maximum temperature: 5.1 °C

Event center: 37.0°N 84.5°E

Area affected: 53948 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-Dec-23_to_2023-Dec-31_84.5_37.0

Heat wave occuring from December 22 2023 to January 02 2024 at 39.0°N 90.5°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 12 days

Time span: December 22 2023 to January 02 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 4.5 °C
  • Mean temperature: -8.5 °C
  • Maximum temperature anomaly: 7.2 °C
  • Maximum temperature: -1.1 °C

Event center: 39.0°N 90.5°E

Area affected: 130537 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-Dec-22_to_2024-Jan-02_90.5_39.0

Cold spell occuring from November 29 2023 to December 13 2023 at 29.0°N 83.0°E

Download data: JSON

Event type: Cold spell

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

  • China
  • India
  • Nepal

Duration: 15 days

Time span: November 29 2023 to December 13 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -6.5 °C
  • Mean temperature: -17.0 °C
  • Minimum temperature anomaly: -10.5 °C
  • Minimum temperature: -24.2 °C

Event center: 29.0°N 83.0°E

Area affected: 58876 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: Cold_spell_2023-Nov-29_to_2023-Dec-13_83.0_29.0

Cold spell occuring from November 29 2023 to December 01 2023 at 37.0°N 110.5°E

Download data: JSON

Event type: Cold spell

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

  • China

Duration: 3 days

Time span: November 29 2023 to December 01 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -4.9 °C
  • Mean temperature: -5.8 °C
  • Minimum temperature anomaly: -7.3 °C
  • Minimum temperature: -9.8 °C

Event center: 37.0°N 110.5°E

Area affected: 56576 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: Cold_spell_2023-Nov-29_to_2023-Dec-01_110.5_37.0