Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1525-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1525-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
08 Jul 2020
Data description article |
| 08 Jul 2020
| 08 Jul 2020
AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE
Ziqiang Ma
CORRESPONDING AUTHOR
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, 100871, China
Jintao Xu
Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, 100871, China
Jun Yang
National Satellite Meteorological Centre, China Meteorological Administration, Beijing, 100081, China
Guoqiang Tang
University of Saskatchewan Coldwater Lab, Canmore, Alberta, T1W 3G1, Canada
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, S7N 1K2, Canada
Yuanjian Yang
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Zhou Shi
Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, 100871, China
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73019, USA
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Short summary
Focusing on the potential drawbacks in generating the state-of-the-art IMERG data in both the TRMM and GPM era, a new daily calibration algorithm on IMERG was proposed, as well as a new AIMERG precipitation dataset (0.1°/half-hourly, 2000–2015, Asia) with better quality than IMERG for Asian scientific research and applications. The proposed daily calibration algorithm for GPM is promising and applicable in generating the future IMERG in either an operational scheme or a retrospective manner.
Focusing on the potential drawbacks in generating the state-of-the-art IMERG data in both the...
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