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Recent and future changes in the combination of annual temperature and precipitation throughout China
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| Zeitschriftentitel: | International Journal of Climatology |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | International Journal of Climatology, 37, 2017, 2, S. 821-833 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Liu, Jie Du, Haibo Wu, Zhengfang He, Hong S. Wang, Lei Zong, Shengwei Liu, Jie Du, Haibo Wu, Zhengfang He, Hong S. Wang, Lei Zong, Shengwei |
|---|---|
| author |
Liu, Jie Du, Haibo Wu, Zhengfang He, Hong S. Wang, Lei Zong, Shengwei |
| spellingShingle |
Liu, Jie Du, Haibo Wu, Zhengfang He, Hong S. Wang, Lei Zong, Shengwei International Journal of Climatology Recent and future changes in the combination of annual temperature and precipitation throughout China Atmospheric Science |
| author_sort |
liu, jie |
| spelling |
Liu, Jie Du, Haibo Wu, Zhengfang He, Hong S. Wang, Lei Zong, Shengwei 0899-8418 1097-0088 Wiley Atmospheric Science http://dx.doi.org/10.1002/joc.4742 <jats:title>ABSTRACT</jats:title><jats:p>Climate involves different combinations of temperature and precipitation, and each year's combination of factors can be assigned a climatic year type (<jats:styled-content style="fixed-case">CYT</jats:styled-content>; e.g. Warm‐Humid). Describing the changes in the <jats:styled-content style="fixed-case">CYT</jats:styled-content> provides more information than describing the temperature or precipitation data alone. In this study, we defined nine <jats:styled-content style="fixed-case">CYTs</jats:styled-content> using the probability density function of annual temperature and precipitation. Recent and future spatiotemporal changes in <jats:styled-content style="fixed-case">CYT</jats:styled-content> were analysed using 507‐station observational data and projected data obtained from the <jats:styled-content style="fixed-case">CMIP5</jats:styled-content> multi‐model ensemble under <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6, <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5, and <jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 scenarios. China was divided into six subregions to analyse the spatiotemporal changes. Obvious differences in spatial patterns among the various <jats:styled-content style="fixed-case">CYTs</jats:styled-content> reflect the climate regime throughout China. The warmth‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Warm‐Humid, Warm‐Dry, and Warm‐Normal) mainly occur in West China (e.g. Southwest China). The cold‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Cold‐Humid, Cold‐Dry, and Cold‐Normal) dominate at high latitudes and high altitudes (e.g. Northeast China and the Tibetan Plateau). The climate in China changed from cold to warm in the last half‐century, accompanying the transformation of Cold‐Humid, Cold‐Dry, and Cold‐Normal before the early 1990s to Warm‐Humid, Warm‐Dry, and Warm‐Normal from the early 1990s onward. In the 21<jats:sup>st</jats:sup> century, the projected <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are mainly Warm‐Humid, Warm‐Dry, and Warm‐Normal in China. Warm‐Humid dominates in West China, North China, and Northeast China. Warm‐Dry is mainly projected in the Yellow River Valley and South China. High‐frequency Warm‐Normal is projected in the Yellow River Valley. Warm‐Humid is projected to increase whereas Warm‐Dry and Warm‐Normal are projected to decrease from 2015 to 2099. All three <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are projected to exhibit larger changes in trends under stronger <jats:italic>versus</jats:italic> weaker <jats:styled-content style="fixed-case">RCPs</jats:styled-content> (<jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6). Compared with temperature or precipitation data alone, <jats:styled-content style="fixed-case">CYTs</jats:styled-content> provide more complete information on climate change and more accurately characterize regional differences in climate throughout China.</jats:p> Recent and future changes in the combination of annual temperature and precipitation throughout China International Journal of Climatology |
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10.1002/joc.4742 |
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Online Free |
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Wiley, 2017 |
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Wiley, 2017 |
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2017 |
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Wiley |
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International Journal of Climatology |
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| title |
Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_unstemmed |
Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_full |
Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_fullStr |
Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_full_unstemmed |
Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_short |
Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_sort |
recent and future changes in the combination of annual temperature and precipitation throughout china |
| topic |
Atmospheric Science |
| url |
http://dx.doi.org/10.1002/joc.4742 |
| publishDate |
2017 |
| physical |
821-833 |
| description |
<jats:title>ABSTRACT</jats:title><jats:p>Climate involves different combinations of temperature and precipitation, and each year's combination of factors can be assigned a climatic year type (<jats:styled-content style="fixed-case">CYT</jats:styled-content>; e.g. Warm‐Humid). Describing the changes in the <jats:styled-content style="fixed-case">CYT</jats:styled-content> provides more information than describing the temperature or precipitation data alone. In this study, we defined nine <jats:styled-content style="fixed-case">CYTs</jats:styled-content> using the probability density function of annual temperature and precipitation. Recent and future spatiotemporal changes in <jats:styled-content style="fixed-case">CYT</jats:styled-content> were analysed using 507‐station observational data and projected data obtained from the <jats:styled-content style="fixed-case">CMIP5</jats:styled-content> multi‐model ensemble under <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6, <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5, and <jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 scenarios. China was divided into six subregions to analyse the spatiotemporal changes. Obvious differences in spatial patterns among the various <jats:styled-content style="fixed-case">CYTs</jats:styled-content> reflect the climate regime throughout China. The warmth‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Warm‐Humid, Warm‐Dry, and Warm‐Normal) mainly occur in West China (e.g. Southwest China). The cold‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Cold‐Humid, Cold‐Dry, and Cold‐Normal) dominate at high latitudes and high altitudes (e.g. Northeast China and the Tibetan Plateau). The climate in China changed from cold to warm in the last half‐century, accompanying the transformation of Cold‐Humid, Cold‐Dry, and Cold‐Normal before the early 1990s to Warm‐Humid, Warm‐Dry, and Warm‐Normal from the early 1990s onward. In the 21<jats:sup>st</jats:sup> century, the projected <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are mainly Warm‐Humid, Warm‐Dry, and Warm‐Normal in China. Warm‐Humid dominates in West China, North China, and Northeast China. Warm‐Dry is mainly projected in the Yellow River Valley and South China. High‐frequency Warm‐Normal is projected in the Yellow River Valley. Warm‐Humid is projected to increase whereas Warm‐Dry and Warm‐Normal are projected to decrease from 2015 to 2099. All three <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are projected to exhibit larger changes in trends under stronger <jats:italic>versus</jats:italic> weaker <jats:styled-content style="fixed-case">RCPs</jats:styled-content> (<jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6). Compared with temperature or precipitation data alone, <jats:styled-content style="fixed-case">CYTs</jats:styled-content> provide more complete information on climate change and more accurately characterize regional differences in climate throughout China.</jats:p> |
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| description | <jats:title>ABSTRACT</jats:title><jats:p>Climate involves different combinations of temperature and precipitation, and each year's combination of factors can be assigned a climatic year type (<jats:styled-content style="fixed-case">CYT</jats:styled-content>; e.g. Warm‐Humid). Describing the changes in the <jats:styled-content style="fixed-case">CYT</jats:styled-content> provides more information than describing the temperature or precipitation data alone. In this study, we defined nine <jats:styled-content style="fixed-case">CYTs</jats:styled-content> using the probability density function of annual temperature and precipitation. Recent and future spatiotemporal changes in <jats:styled-content style="fixed-case">CYT</jats:styled-content> were analysed using 507‐station observational data and projected data obtained from the <jats:styled-content style="fixed-case">CMIP5</jats:styled-content> multi‐model ensemble under <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6, <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5, and <jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 scenarios. China was divided into six subregions to analyse the spatiotemporal changes. Obvious differences in spatial patterns among the various <jats:styled-content style="fixed-case">CYTs</jats:styled-content> reflect the climate regime throughout China. The warmth‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Warm‐Humid, Warm‐Dry, and Warm‐Normal) mainly occur in West China (e.g. Southwest China). The cold‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Cold‐Humid, Cold‐Dry, and Cold‐Normal) dominate at high latitudes and high altitudes (e.g. Northeast China and the Tibetan Plateau). The climate in China changed from cold to warm in the last half‐century, accompanying the transformation of Cold‐Humid, Cold‐Dry, and Cold‐Normal before the early 1990s to Warm‐Humid, Warm‐Dry, and Warm‐Normal from the early 1990s onward. In the 21<jats:sup>st</jats:sup> century, the projected <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are mainly Warm‐Humid, Warm‐Dry, and Warm‐Normal in China. Warm‐Humid dominates in West China, North China, and Northeast China. Warm‐Dry is mainly projected in the Yellow River Valley and South China. High‐frequency Warm‐Normal is projected in the Yellow River Valley. Warm‐Humid is projected to increase whereas Warm‐Dry and Warm‐Normal are projected to decrease from 2015 to 2099. All three <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are projected to exhibit larger changes in trends under stronger <jats:italic>versus</jats:italic> weaker <jats:styled-content style="fixed-case">RCPs</jats:styled-content> (<jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6). Compared with temperature or precipitation data alone, <jats:styled-content style="fixed-case">CYTs</jats:styled-content> provide more complete information on climate change and more accurately characterize regional differences in climate throughout China.</jats:p> |
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| spelling | Liu, Jie Du, Haibo Wu, Zhengfang He, Hong S. Wang, Lei Zong, Shengwei 0899-8418 1097-0088 Wiley Atmospheric Science http://dx.doi.org/10.1002/joc.4742 <jats:title>ABSTRACT</jats:title><jats:p>Climate involves different combinations of temperature and precipitation, and each year's combination of factors can be assigned a climatic year type (<jats:styled-content style="fixed-case">CYT</jats:styled-content>; e.g. Warm‐Humid). Describing the changes in the <jats:styled-content style="fixed-case">CYT</jats:styled-content> provides more information than describing the temperature or precipitation data alone. In this study, we defined nine <jats:styled-content style="fixed-case">CYTs</jats:styled-content> using the probability density function of annual temperature and precipitation. Recent and future spatiotemporal changes in <jats:styled-content style="fixed-case">CYT</jats:styled-content> were analysed using 507‐station observational data and projected data obtained from the <jats:styled-content style="fixed-case">CMIP5</jats:styled-content> multi‐model ensemble under <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6, <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5, and <jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 scenarios. China was divided into six subregions to analyse the spatiotemporal changes. Obvious differences in spatial patterns among the various <jats:styled-content style="fixed-case">CYTs</jats:styled-content> reflect the climate regime throughout China. The warmth‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Warm‐Humid, Warm‐Dry, and Warm‐Normal) mainly occur in West China (e.g. Southwest China). The cold‐associated <jats:styled-content style="fixed-case">CYTs</jats:styled-content> (Cold‐Humid, Cold‐Dry, and Cold‐Normal) dominate at high latitudes and high altitudes (e.g. Northeast China and the Tibetan Plateau). The climate in China changed from cold to warm in the last half‐century, accompanying the transformation of Cold‐Humid, Cold‐Dry, and Cold‐Normal before the early 1990s to Warm‐Humid, Warm‐Dry, and Warm‐Normal from the early 1990s onward. In the 21<jats:sup>st</jats:sup> century, the projected <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are mainly Warm‐Humid, Warm‐Dry, and Warm‐Normal in China. Warm‐Humid dominates in West China, North China, and Northeast China. Warm‐Dry is mainly projected in the Yellow River Valley and South China. High‐frequency Warm‐Normal is projected in the Yellow River Valley. Warm‐Humid is projected to increase whereas Warm‐Dry and Warm‐Normal are projected to decrease from 2015 to 2099. All three <jats:styled-content style="fixed-case">CYTs</jats:styled-content> are projected to exhibit larger changes in trends under stronger <jats:italic>versus</jats:italic> weaker <jats:styled-content style="fixed-case">RCPs</jats:styled-content> (<jats:styled-content style="fixed-case">RCP8</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP4</jats:styled-content>.5 > <jats:styled-content style="fixed-case">RCP2</jats:styled-content>.6). Compared with temperature or precipitation data alone, <jats:styled-content style="fixed-case">CYTs</jats:styled-content> provide more complete information on climate change and more accurately characterize regional differences in climate throughout China.</jats:p> Recent and future changes in the combination of annual temperature and precipitation throughout China International Journal of Climatology |
| spellingShingle | Liu, Jie, Du, Haibo, Wu, Zhengfang, He, Hong S., Wang, Lei, Zong, Shengwei, International Journal of Climatology, Recent and future changes in the combination of annual temperature and precipitation throughout China, Atmospheric Science |
| title | Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_full | Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_fullStr | Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_full_unstemmed | Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_short | Recent and future changes in the combination of annual temperature and precipitation throughout China |
| title_sort | recent and future changes in the combination of annual temperature and precipitation throughout china |
| title_unstemmed | Recent and future changes in the combination of annual temperature and precipitation throughout China |
| topic | Atmospheric Science |
| url | http://dx.doi.org/10.1002/joc.4742 |