225
Views
19
CrossRef citations to date
0
Altmetric
Articles

Spatio-temporal analysis of precipitable water vapour over northwest china utilizing MERSI/FY-3A products

, , &
Pages 3094-3110 | Received 10 Feb 2017, Accepted 30 Jan 2018, Published online: 08 Feb 2018
 

ABSTRACT

Northwest China is considered as the arid and semi-arid temperate continental climate, where the precipitation is closely related to precipitable water vapour (PWV) content. In this paper, the Medium-Resolution Spectral Imager (MERSI) water vapour products were first used to study the spatial and temporal characteristics of water vapour over Northwest China, which were developed by the National Satellite Meteorological Center of China from the Chinese second-generation polar orbit Meteorological Satellite Fengyun 3A (FY-3A). In order to utilize the MERSI water vapour products, the MERSI 5 min water vapour product is compared respectively with global positioning system (GPS), Aerosol Robotic Network (AERONET) and Radiosonde water vapour data in situ datasets. The results show that the water vapour values of the MERSI product are a slightly lower than referenced data, and the accuracy of MERSI product compared with GPS water vapour is the most agreeable, with a mean absolute percentage error (MAPE) of 22.83%. The PWV content displays a typical spatial distribution pattern in Northwest China that it is the highest in the southeast, the second for the northwest and the lowest in the south-centre. The water vapour content over each province in a descending order is Shaanxi, Ningxia, west of Inner Mongolia, Xinjiang, Gansu and Qinghai. The seasonal variation of water vapour content over Northwest China appears to be lowest in winter, followed by spring, then for autumn, and highest in summer. The PWV content of each province in Northwest China shows the periodic inner-annual variation, that is, the PWV content is lowest in January, and gradually increases with time till it peaks in July, and then decreases monthly afterwards, which agrees with the quadratic polynomial model by months. The standard deviation of the water vapour content in summer is 0.533–1.027 mm, while that in winter is 0.262–0.527 mm.

Acknowledgments

This work was funded jointly by the National Research and Development Program of China(NO.2016YFC1402000), the Project of Humanities and Social Sciences of the Ministry of Education in China(NO.16YJCZH021), the National Natural Science Foundation of China (No. 41375099, 91337108 & 41561124014) and the Foundation of Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology (NO. KLME1005). The authors thank the AERONET for providing water vapor data and the FengYun satellite remote sensing data service network for providing MERSI water vapor products.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was funded jointly by the National Research and Development Program of China [2016YFC1402000]; the Project of Humanities and Social Sciences of the Ministry of Education in China [16YJCZH021]; the National Natural Science Foundation of China [41375099, 91337108 & 41561124014]; and the Foundation of Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology [KLME1005].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.