Category: Extremes affecting China

Cold spell occuring from January 12 2025 to February 09 2025 at 41.0°N 83.0°E

Download data: JSON

Event type: Cold spell

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

  • China

Duration: 29 days

Time span: January 12 2025 to February 09 2025

Statistics over entire affected area:

  • Mean temperature anomaly: -5.4 °C
  • Mean temperature: -13.2 °C
  • Minimum temperature anomaly: -9.1 °C
  • Minimum temperature: -17.5 °C

Event center: 41.0°N 83.0°E

Area affected: 86577 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_2025-Jan-12_to_2025-Feb-09_83.0_41.0

Heat wave occuring from January 12 2025 to January 14 2025 at 29.0°N 112.0°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 12 2025 to January 14 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 5.1 °C
  • Mean temperature: 9.6 °C
  • Maximum temperature anomaly: 7.6 °C
  • Maximum temperature: 12.6 °C

Event center: 29.0°N 112.0°E

Area affected: 103367 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_2025-Jan-12_to_2025-Jan-14_112.0_29.0

Heat wave occuring from January 10 2025 to January 13 2025 at 42.0°N 102.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Mongolia

Duration: 4 days

Time span: January 10 2025 to January 13 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 5.6 °C
  • Mean temperature: -4.7 °C
  • Maximum temperature anomaly: 7.9 °C
  • Maximum temperature: -2.6 °C

Event center: 42.0°N 102.0°E

Area affected: 90404 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_2025-Jan-10_to_2025-Jan-13_102.0_42.0

Heat wave occuring from January 10 2025 to January 23 2025 at 43.0°N 79.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Kazakhstan
  • Kyrgyzstan

Duration: 14 days

Time span: January 10 2025 to January 23 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 6.8 °C
  • Mean temperature: -9.9 °C
  • Maximum temperature anomaly: 12.0 °C
  • Maximum temperature: 5.0 °C

Event center: 43.0°N 79.5°E

Area affected: 108151 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_2025-Jan-10_to_2025-Jan-23_79.5_43.0

Cold spell occuring from January 10 2025 to January 16 2025 at 19.5°N 102.5°E

Download data: JSON

Event type: Cold spell

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

  • Cambodia
  • China
  • Lao People’s Democratic Republic
  • Myanmar
  • Thailand
  • Viet Nam

Duration: 7 days

Time span: January 10 2025 to January 16 2025

Statistics over entire affected area:

  • Mean temperature anomaly: -3.9 °C
  • Mean temperature: 18.8 °C
  • Minimum temperature anomaly: -7.1 °C
  • Minimum temperature: 8.9 °C

Event center: 19.5°N 102.5°E

Area affected: 784342 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_2025-Jan-10_to_2025-Jan-16_102.5_19.5

Heat wave occuring from December 29 2024 to January 07 2025 at 48.0°N 83.0°E

Download data: JSON

Event type: Heat wave

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

  • Belarus
  • China
  • Kazakhstan
  • Lithuania
  • Russian Federation
  • Turkmenistan
  • Ukraine
  • Uzbekistan

Duration: 10 days

Time span: December 29 2024 to January 07 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 10.9 °C
  • Mean temperature: -0.5 °C
  • Maximum temperature anomaly: 19.0 °C
  • Maximum temperature: 10.5 °C

Event center: 48.0°N 83.0°E

Area affected: 4037938 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-Dec-29_to_2025-Jan-07_83.0_48.0

Heat wave occuring from December 29 2024 to January 01 2025 at 38.5°N 118.5°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: December 29 2024 to January 01 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 4.4 °C
  • Mean temperature: 2.3 °C
  • Maximum temperature anomaly: 6.4 °C
  • Maximum temperature: 6.0 °C

Event center: 38.5°N 118.5°E

Area affected: 52328 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-Dec-29_to_2025-Jan-01_118.5_38.5

Heat wave occuring from December 26 2024 to January 07 2025 at 49.0°N 113.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Mongolia
  • Russian Federation

Duration: 13 days

Time span: December 26 2024 to January 07 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 8.5 °C
  • Mean temperature: -13.0 °C
  • Maximum temperature anomaly: 13.7 °C
  • Maximum temperature: -6.1 °C

Event center: 49.0°N 113.0°E

Area affected: 590313 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-Dec-26_to_2025-Jan-07_113.0_49.0

Heat wave occuring from December 24 2024 to January 07 2025 at 42.0°N 79.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Kazakhstan
  • Kyrgyzstan

Duration: 15 days

Time span: December 24 2024 to January 07 2025

Statistics over entire affected area:

  • Mean temperature anomaly: 6.9 °C
  • Mean temperature: -11.2 °C
  • Maximum temperature anomaly: 10.6 °C
  • Maximum temperature: -5.1 °C

Event center: 42.0°N 79.0°E

Area affected: 55325 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-Dec-24_to_2025-Jan-07_79.0_42.0

Heat wave occuring from December 23 2024 to December 31 2024 at 28.5°N 99.5°E

Download data: JSON

Event type: Heat wave

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

  • China

Duration: 9 days

Time span: December 23 2024 to December 31 2024

Statistics over entire affected area:

  • Mean temperature anomaly: 5.6 °C
  • Mean temperature: -1.7 °C
  • Maximum temperature anomaly: 8.0 °C
  • Maximum temperature: 3.2 °C

Event center: 28.5°N 99.5°E

Area affected: 72845 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-Dec-23_to_2024-Dec-31_99.5_28.5