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- Title
AERA5-Asia: A Long-Term Asian Precipitation Dataset (0.1°, 1-hourly, 1951-2015, Asia) Anchoring the ERA5-Land under the Total Volume Control by APHRODITE.
- Authors
Ziqiang Ma; Jintao Xu; Yaoming Ma; Siyu Zhu; Kang He; Shengjun Zhang; Weiqiang Ma; Xiangde Xu
- Abstract
Accurate long-term precipitation information is critical for understanding the mechanisms behind how precipitation couples with Earth's water fluxes, energy balances, and biogeochemical cycles across space-time scales under the changing climate. This study proposes a novel approach [daily total volume controlled merging and disaggregation algorithm (DTVCMDA)] for generating a new long-term precipitation dataset, AERA5-Asia (0.1°, 1-hourly, 1951-2015, Asia; "AERA5" is a combination of the "A" from APHRODITE and the "ERA5" from ERA5-Land), by comprehensively considering the characteristics of the high spatiotemporal resolutions and continuity of the ERA5-Land dataset and the high quality of the APHRODITE dataset. The main conclusions include, but are not limited to, the following: 1) AERA5-Asia provides time series of precipitation of sufficient resolutions, length, consistency, continuity, and quality over Asia. 2) AERA5-Asia substantially outperforms ERA5-Land and IMERG-Final in terms of both magnitudes and occurrences of precipitation events in Mainland China, especially the systematic biases. For instance, the bias of ERA5-Land, IMERG-Final, and AERA5-Asia against ground gauge-based observations in Mainland China are ~20%, ~11%, and ~5%, respectively. 3) AERA5-Asia performs notably better than ERA5-Land and IMERG-Final against ground gauge-based observations in regional extreme rainfall systems (e.g., two typhoon events, Trami and Usagi). 4) AERA5-Asia should prove to be a useful precipitation dataset for addressing various key climatological and hydrological research questions that require precipitation data with longer spans and finer resolutions (0.1°, 1-hourly).
- Subjects
ASIA; RAIN gauges; PRECIPITATION gauges; CLIMATE research; BIOGEOCHEMICAL cycles; TYPHOONS; HYDROLOGICAL research; TIME series analysis; SPACETIME
- Publication
Bulletin of the American Meteorological Society, 2022, Vol 103, Issue 4, pE1146
- ISSN
0003-0007
- Publication type
Article
- DOI
10.1175/BAMS-D-20-0328.1