Category: Extremes affecting Taiwan, Province of China

Heat wave occuring from August 02 2023 to August 09 2023 at 23.5°N 121.5°E

Download data: JSON

Event type: Heat wave

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

  • Taiwan, Province of China

Duration: 8 days

Time span: August 02 2023 to August 09 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 1.4 °C
  • Mean temperature: 28.3 °C
  • Maximum temperature anomaly: 3.4 °C
  • Maximum temperature: 30.6 °C

Event center: 23.5°N 121.5°E

Area affected: 70422 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-Aug-02_to_2023-Aug-09_121.5_23.5

Heat wave occuring from June 18 2023 to June 25 2023 at 22.5°N 120.0°E

Download data: JSON

Event type: Heat wave

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

  • China
  • Hong Kong
  • Taiwan, Province of China

Duration: 8 days

Time span: June 18 2023 to June 25 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 1.1 °C
  • Mean temperature: 29.1 °C
  • Maximum temperature anomaly: 2.5 °C
  • Maximum temperature: 30.8 °C

Event center: 22.5°N 120.0°E

Area affected: 534133 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-18_to_2023-Jun-25_120.0_22.5

Cold spell occuring from May 08 2023 to May 11 2023 at 23.0°N 121.5°E

Download data: JSON

Event type: Cold spell

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

  • Taiwan, Province of China

Duration: 4 days

Time span: May 08 2023 to May 11 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -2.2 °C
  • Mean temperature: 23.4 °C
  • Minimum temperature anomaly: -3.9 °C
  • Minimum temperature: 16.0 °C

Event center: 23.0°N 121.5°E

Area affected: 65510 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-08_to_2023-May-11_121.5_23.0

Cold spell occuring from January 27 2023 to January 31 2023 at 24.0°N 120.0°E

Download data: JSON

Event type: Cold spell

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

  • Taiwan, Province of China

Duration: 5 days

Time span: January 27 2023 to January 31 2023

Statistics over entire affected area:

  • Mean temperature anomaly: -3.4 °C
  • Mean temperature: 14.1 °C
  • Minimum temperature anomaly: -6.5 °C
  • Minimum temperature: 1.7 °C

Event center: 24.0°N 120.0°E

Area affected: 102613 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-Jan-27_to_2023-Jan-31_120.0_24.0

Cold spell occuring from December 22 2022 to December 27 2022 at 23.0°N 120.5°E

Download data: JSON

Event type: Cold spell

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

  • China
  • Japan
  • Philippines
  • Taiwan, Province of China

Duration: 6 days

Time span: December 22 2022 to December 27 2022

Statistics over entire affected area:

  • Mean temperature anomaly: -3.2 °C
  • Mean temperature: 17.7 °C
  • Minimum temperature anomaly: -7.0 °C
  • Minimum temperature: -2.5 °C

Event center: 23.0°N 120.5°E

Area affected: 1701439 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_2022-Dec-22_to_2022-Dec-27_120.5_23.0

Cold spell occuring from May 12 2022 to May 27 2022 at 25.0°N 119.5°E

Download data: JSON

Event type: Cold spell

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

  • China
  • Hong Kong
  • Philippines
  • Taiwan, Province of China
  • Viet Nam

Duration: 16 days

Time span: May 12 2022 to May 27 2022

Statistics over entire affected area:

  • Mean temperature anomaly: -4.2 °C
  • Mean temperature: 20.1 °C
  • Minimum temperature anomaly: -12.3 °C
  • Minimum temperature: 6.8 °C

Event center: 25.0°N 119.5°E

Area affected: 2296130 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_2022-May-12_to_2022-May-27_119.5_25.0

Heat wave occuring from February 19 2022 to January 25 2023 at -11.0°S 150.0°E

Download data: JSON

Event type: Heat wave

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

  • Antarctica
  • Australia
  • Bangladesh
  • Bhutan
  • Cambodia
  • Canada
  • China
  • Christmas Island
  • Cook Islands
  • Fiji
  • French Polynesia
  • Hong Kong
  • India
  • Indonesia
  • Japan
  • Kazakhstan
  • Korea, Democratic People’s Republic of
  • Korea, Republic of
  • Kyrgyzstan
  • Lao People’s Democratic Republic
  • Malaysia
  • Maldives
  • Mongolia
  • Myanmar
  • Nepal
  • New Caledonia
  • New Zealand
  • Norfolk Island
  • Northern Mariana Islands
  • Oman
  • Pakistan
  • Papua New Guinea
  • Philippines
  • Russian Federation
  • Solomon Islands
  • Sri Lanka
  • Taiwan, Province of China
  • Thailand
  • Timor-Leste
  • Tonga
  • United States
  • Vanuatu
  • Viet Nam

Duration: 341 days

Time span: February 19 2022 to January 25 2023

Statistics over entire affected area:

  • Mean temperature anomaly: 2.6 °C
  • Mean temperature: 19.0 °C
  • Maximum temperature anomaly: 33.4 °C
  • Maximum temperature: 37.4 °C

Event center: -11.0°S 150.0°E

Area affected: 154052228 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_2022-Feb-19_to_2023-Jan-25_150.0_-11.0

Heat wave occuring from January 15 2022 to January 28 2022 at 23.5°N 120.0°E

Download data: JSON

Event type: Heat wave

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

  • Taiwan, Province of China

Duration: 14 days

Time span: January 15 2022 to January 28 2022

Statistics over entire affected area:

  • Mean temperature anomaly: 2.7 °C
  • Mean temperature: 18.2 °C
  • Maximum temperature anomaly: 5.5 °C
  • Maximum temperature: 20.5 °C

Event center: 23.5°N 120.0°E

Area affected: 50703 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_2022-Jan-15_to_2022-Jan-28_120.0_23.5

Cold spell occuring from October 19 2021 to November 30 2021 at 32.5°N 81.0°E

Download data: JSON

Event type: Cold spell

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

  • Afghanistan
  • China
  • Hong Kong
  • India
  • Iran, Islamic Republic of
  • Kazakhstan
  • Kyrgyzstan
  • Lao People’s Democratic Republic
  • Mongolia
  • Nepal
  • Pakistan
  • Russian Federation
  • Taiwan, Province of China
  • Tajikistan
  • Turkmenistan
  • Uzbekistan
  • Viet Nam

Duration: 43 days

Time span: October 19 2021 to November 30 2021

Statistics over entire affected area:

  • Mean temperature anomaly: -7.8 °C
  • Mean temperature: -4.0 °C
  • Minimum temperature anomaly: -24.5 °C
  • Minimum temperature: -32.4 °C

Event center: 32.5°N 81.0°E

Area affected: 12856484 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_2021-Oct-19_to_2021-Nov-30_81.0_32.5

Heat wave occuring from July 22 2021 to July 30 2021 at 25.5°N 122.5°E

Download data: JSON

Event type: Heat wave

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

  • Taiwan, Province of China

Duration: 9 days

Time span: July 22 2021 to July 30 2021

Statistics over entire affected area:

  • Mean temperature anomaly: 1.3 °C
  • Mean temperature: 29.2 °C
  • Maximum temperature anomaly: 2.7 °C
  • Maximum temperature: 30.7 °C

Event center: 25.5°N 122.5°E

Area affected: 64770 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_2021-Jul-22_to_2021-Jul-30_122.5_25.5