Variability in Dust Observed over China Using A-Train CALIOP Instrument
Patterns of dust aerosol variation over China are analyzed using A-Train CALIOP and precipitation, soil moisture, and vegetation coverage datasets during the period of 2007 and 2014. Spatially, dust is mostly prominent over northwestern China, with the highest and most widespread dust activities bei...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/1246590 |
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| author | Hui Xu Fengjie Zheng Wenhao Zhang |
| author_facet | Hui Xu Fengjie Zheng Wenhao Zhang |
| author_sort | Hui Xu |
| collection | DOAJ |
| description | Patterns of dust aerosol variation over China are analyzed using A-Train CALIOP and precipitation, soil moisture, and vegetation coverage datasets during the period of 2007 and 2014. Spatially, dust is mostly prominent over northwestern China, with the highest and most widespread dust activities being in Taklimakan Desert. Dust is generally distributed across the atmosphere up to 5 km altitude, with a peak of DAFOD around 3 km. The dust layer has a significant geographical and seasonal drifting, with higher altitude in spring and summer and dust source regions (between 3 km and 5 km). Additionally, single dust layer is more often observed in a vertical column. Temporally, high amounts of dust aerosol (C-DAFOD as high as 0.08) experienced in spring subsequently continuous decrease until the spring of next year. The correlation coefficients between the latitude averaged column integrated dust aerosol feature optical depth (C-DAFOD) and precipitation, soil moisture, and vegetation coverage are −0.65, −0.81, and −0.77, respectively. The correlation coefficients of seasonal mean C-DAFOD with the three factors are −0.15, −0.67, and −0.35, respectively. The analysis showed dust and the other three factors are negatively correlated. Overall, dust over China shows considerable spatial, temporal, and vertical variations. |
| format | Article |
| id | doaj-art-4d052c5c16804c45b9921cad4ed9ce50 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-4d052c5c16804c45b9921cad4ed9ce502025-02-03T01:27:40ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/12465901246590Variability in Dust Observed over China Using A-Train CALIOP InstrumentHui Xu0Fengjie Zheng1Wenhao Zhang2Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaPatterns of dust aerosol variation over China are analyzed using A-Train CALIOP and precipitation, soil moisture, and vegetation coverage datasets during the period of 2007 and 2014. Spatially, dust is mostly prominent over northwestern China, with the highest and most widespread dust activities being in Taklimakan Desert. Dust is generally distributed across the atmosphere up to 5 km altitude, with a peak of DAFOD around 3 km. The dust layer has a significant geographical and seasonal drifting, with higher altitude in spring and summer and dust source regions (between 3 km and 5 km). Additionally, single dust layer is more often observed in a vertical column. Temporally, high amounts of dust aerosol (C-DAFOD as high as 0.08) experienced in spring subsequently continuous decrease until the spring of next year. The correlation coefficients between the latitude averaged column integrated dust aerosol feature optical depth (C-DAFOD) and precipitation, soil moisture, and vegetation coverage are −0.65, −0.81, and −0.77, respectively. The correlation coefficients of seasonal mean C-DAFOD with the three factors are −0.15, −0.67, and −0.35, respectively. The analysis showed dust and the other three factors are negatively correlated. Overall, dust over China shows considerable spatial, temporal, and vertical variations.http://dx.doi.org/10.1155/2016/1246590 |
| spellingShingle | Hui Xu Fengjie Zheng Wenhao Zhang Variability in Dust Observed over China Using A-Train CALIOP Instrument Advances in Meteorology |
| title | Variability in Dust Observed over China Using A-Train CALIOP Instrument |
| title_full | Variability in Dust Observed over China Using A-Train CALIOP Instrument |
| title_fullStr | Variability in Dust Observed over China Using A-Train CALIOP Instrument |
| title_full_unstemmed | Variability in Dust Observed over China Using A-Train CALIOP Instrument |
| title_short | Variability in Dust Observed over China Using A-Train CALIOP Instrument |
| title_sort | variability in dust observed over china using a train caliop instrument |
| url | http://dx.doi.org/10.1155/2016/1246590 |
| work_keys_str_mv | AT huixu variabilityindustobservedoverchinausingatraincaliopinstrument AT fengjiezheng variabilityindustobservedoverchinausingatraincaliopinstrument AT wenhaozhang variabilityindustobservedoverchinausingatraincaliopinstrument |