Cold spell occuring from June 15 2023 to June 18 2023 at 31.0°N 108.5°E

Download data: JSON

Event type: Cold spell

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

  • China

Duration: 4 days

Time span: June 15 2023 to June 18 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -4.8 °C
  • Mean temperature: 18.9 °C
  • Minimum temperature anomaly: -7.3 °C
  • Minimum temperature: 14.7 °C

Event center: 31.0°N 108.5°E

Area affected: 195960 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-Jun-15_to_2023-Jun-18_108.5_31.0

Cold spell occuring from June 13 2023 to June 24 2023 at 33.5°N 91.5°E

Download data: JSON

Event type: Cold spell

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

  • China

Duration: 12 days

Time span: June 13 2023 to June 24 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -3.9 °C
  • Mean temperature: 1.7 °C
  • Minimum temperature anomaly: -6.4 °C
  • Minimum temperature: -3.9 °C

Event center: 33.5°N 91.5°E

Area affected: 98562 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-Jun-13_to_2023-Jun-24_91.5_33.5

Heat wave occuring from June 09 2023 to June 12 2023 at 24.0°N 106.5°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Viet Nam

Duration: 4 days

Time span: June 09 2023 to June 12 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 3.1 °C
  • Mean temperature: 28.5 °C
  • Maximum temperature anomaly: 5.2 °C
  • Maximum temperature: 32.0 °C

Event center: 24.0°N 106.5°E

Area affected: 107311 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_106.5_24.0

Heat wave occuring from June 09 2023 to June 12 2023 at 30.0°N 111.5°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: 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

Heat wave occuring from June 08 2023 to June 14 2023 at 31.5°N 105.0°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: 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

Cold spell occuring from June 08 2023 to June 24 2023 at 30.0°N 100.5°E

Download data: JSON

Event type: Cold spell

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

  • Bangladesh
  • Bhutan
  • China
  • India
  • Myanmar

Duration: 17 days

Time span: June 08 2023 to June 24 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -3.6 °C
  • Mean temperature: 12.6 °C
  • Minimum temperature anomaly: -8.6 °C
  • Minimum temperature: -1.3 °C

Event center: 30.0°N 100.5°E

Area affected: 768950 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-Jun-08_to_2023-Jun-24_100.5_30.0

Heat wave occuring from June 06 2023 to June 12 2023 at 35.5°N 119.5°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: 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

Cold spell occuring from June 01 2023 to June 13 2023 at 35.0°N 80.0°E

Download data: JSON

Event type: Cold spell

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

  • China
  • Kyrgyzstan
  • Tajikistan

Duration: 13 days

Time span: June 01 2023 to June 13 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -5.1 °C
  • Mean temperature: -3.1 °C
  • Minimum temperature anomaly: -12.8 °C
  • Minimum temperature: -16.6 °C

Event center: 35.0°N 80.0°E

Area affected: 300074 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-Jun-01_to_2023-Jun-13_80.0_35.0

Cold spell occuring from May 31 2023 to June 05 2023 at 32.0°N 108.0°E

Download data: JSON

Event type: Cold spell

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

  • China

Duration: 6 days

Time span: May 31 2023 to June 05 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -5.5 °C
  • Mean temperature: 15.4 °C
  • Minimum temperature anomaly: -9.7 °C
  • Minimum temperature: 7.5 °C

Event center: 32.0°N 108.0°E

Area affected: 534567 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-May-31_to_2023-Jun-05_108.0_32.0

Cold spell occuring from May 31 2023 to June 10 2023 at 30.0°N 82.0°E

Download data: JSON

Event type: Cold spell

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

  • China
  • India
  • Nepal

Duration: 11 days

Time span: May 31 2023 to June 10 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -3.8 °C
  • Mean temperature: -2.9 °C
  • Minimum temperature anomaly: -6.0 °C
  • Minimum temperature: -8.0 °C

Event center: 30.0°N 82.0°E

Area affected: 61294 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-May-31_to_2023-Jun-10_82.0_30.0