Asian precipitation dataset with high quality and spatiotemporal resolution (AIMERG, 0.1°, half-hourly, 2000-2015)


Precipitation estimates with fine quality and spatio-temporal resolutions play significant roles in understanding the global and regional cycles of water, carbon, and energy. Satellite-based precipitation products are capable of detecting spatial patterns and temporal variations of precipitation at fine resolutions, which is particularly useful over poorly gauged regions. However, satellite-based precipitation products are the indirect estimates of precipitation, inherently containing regional and seasonal systematic biases and random errors. Focusing on the potential drawbacks in generating Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) and its recently updated retrospective IMERG in the Tropical Rainfall Measuring Mission (TRMM) era (finished in July 2019), which were only calibrated at a monthly scale using ground observations, Global Precipitation Climatology Centre (GPCC, 1.0◦/monthly), we aim to propose a new calibration algorithm for IMERG at a daily scale and to provide a new AIMERG precipitation dataset (0.1◦/half-hourly, 2000–2015, Asia) with better quality, calibrated by Asian Precipitation – Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE, 0.25◦/daily) at the daily scale for the Asian applications. Considering the advantages from both satellite-based precipitation estimates and the ground observations, AIMERG performs better than IMERG at different spatio-temporal scales, in terms of both systematic biases and random errors, over mainland China.


Data file naming and use method

File name: AIMERG precipitation dataset is stored as GeoTIFF, and is compressed by year. The name of the compressed file is "yyyy. 7z", where yyyy stands for the year. After decompressing, the GeoTIFF file is named "AIMERG_ yyyymmddhhhh.tif ”Where yyyy is the year, mm is the month, dd is the day, and hhhh is the hour. For example, AIMERG_ 201501010000.tif represents the estimation of precipitation estimates (mm/h) from 0:00 on January 1, 2015 to 1:00 on January 1, 2015 (UTC), over Asia; AIMERG_ 201501010030.tif represents the estimation of precipitation estimates (mm/h) from 0:30 on January 1, 2015 to 1:30 on January 1, 2015, over Asia. If you want to obtain the hourly precipitation, it is necessary to average the two files in the corresponding hourly period.
Data reading method: AIMERG precipitation dataset in GeoTIFF format can be read by MATLAB, or opened directly by ArcGIS and ENVI software.


Required Data Citation View Data Cite Help About Data Citation
Cite as:

MA Ziqiang. Asian precipitation dataset with high quality and spatiotemporal resolution (AIMERG, 0.1°, half-hourly, 2000-2015). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Meteoro.tpdc.270987. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Ma, Z.Q., Xu, J.T., Zhu, S.Y., Yang, J., Tang, G.Q., Yang, Y.J., Shi, Z., and Hong, Y.: AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015)by calibrating the GPM-era IMERG at a daily scale using APHRODITE, Earth Syst. Sci. Data, 12, 1525–1544, https://doi.org/10.5194/essd-12-1525-2020, 2020.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


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Second Tibetan Plateau Scientific Expedition Program

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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 150.00 West: 60.00
South: 15.00 North: 55.00
Detail
  • Temporal resolution: Hourly
  • Spatial resolution: 1km - 10km
  • File size: 75,162 MB
  • Browse count: 297 Times
  • Apply count: 18 Times
  • Share mode: online
  • Temporal coverage: 2000-07-21 To 2016-02-19
  • Updated time: 2020-09-07
Contact Information
: MA Ziqiang  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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