Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

Applicability and Correction of ERA - Interim Reanalysis Precipitation Dataset in the Upper Reaches of the Yangtze River

Authors
Xiaofan Zeng, Qifang He, Na Zhao, Yiran Bai, Ruoyu Zhang
Corresponding Author
Xiaofan Zeng
Available Online March 2018.
DOI
10.2991/mmsa-18.2018.94How to use a DOI?
Keywords
ERA-interim grid precipitation; the upper reaches of the Yangtze River; accuracy correction
Abstract

Based on the reanalysis data of ERA-interim, combined with the precipitation data of the measured sites in the basin, the reanalysis data in the upper reaches of the Yangtze River is studied. Calculating watersheds as well as the station annual precipitation, multi-year average precipitation. Using the indicators of precipitation deviation, percentage deviation, and qualified rate to figure out the applicability of ERA data in the basin in order to supplement the measured precipitation data. The results show that the trend of ERA precipitation in the year, spring, summer, autumn and winter is almost the same as that of the measured data, and the annual precipitation data of ERA can be corrected by using the conversion coefficient directly. In addition, the grid precipitation interpolation calculation of 65 measured sites in the basin is carried out to analyze the difference between ERA data and measured data. Calculating multi-year average precipitation of two datasets for each station, there is a significant difference between the estimated ERA precipitation and the measured precipitation at the high altitude in the basin, and the difference between the estimated ERA precipitation and the measured precipitation at the low altitude in the basin is smaller, and the precipitation deviation in the southeastern of the basin is smaller than that in the northwest of the basin. Using the conversion coefficient to convert annual, spring, summer ,autumn and the winter scales of ERA interpolation precipitation data for each station, within the 30% deviation error threshold(compared with measured precipitation), the qualified rates for stations of the annual, spring, summer, autumn and winter scales after the fitting are 98.46%, 72.31%, 92.31%, 70.77% and 9.23%respectively.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-499-6
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.94How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaofan Zeng
AU  - Qifang He
AU  - Na Zhao
AU  - Yiran Bai
AU  - Ruoyu Zhang
PY  - 2018/03
DA  - 2018/03
TI  - Applicability and Correction of ERA - Interim Reanalysis Precipitation Dataset in the Upper Reaches of the Yangtze River
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 424
EP  - 427
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.94
DO  - 10.2991/mmsa-18.2018.94
ID  - Zeng2018/03
ER  -