De Michele, Carlo; Avanzi, Francesco (2018): Parameters of a superstatistical distribution of daily precipitation extremes for 20,561 sites in the world [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.894443, Supplement to: De Michele, C; Avanzi, F (2018): Superstatistical distribution of daily precipitation extremes: A worldwide assessment. Scientific Reports, https://doi.org/10.1038/s41598-018-31838-z
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Published: 2018-09-19 • DOI registered: 2018-10-18
Abstract:
This .zip folder contains the parameters of a superstatistical distribution of daily precipitation extremes for 20,561 sites in the world. The details about this distribution are available in the following paper: De Michele, C. and Avanzi, F. (2018): Superstatistical distribution of daily precipitation extremes: A worldwide assessment, Scientific Reports. These parameters were estimated using daily-precipitation data from the Global Historical Climatology Network (GHCN) daily, available at ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/
The .zip folder includes one file for each of the 20,561 sites considered in the above paper. The name of each file refers to the station ID of the original site belonging to the Global Historical Climatology Network (GHCN) daily, to which the reader is referred for information regarding the location of each site. The structure of the file is standard as follows:
- The first row reports the station ID and the value of the optimal threshold used in the superstatistical distribution (see the above paper for details, unit is mm*10);
- All the other rows report estimates of optimal parameters lambda, beta, and p0 for each year with at least 25 days of precipitation. Again, the reader is referred to the above paper for details about these parameters. Each row reports results for one year in the following order: (1) year on which parameters were estimated; (2) number of available precipitation observations; (3) estimated value of beta; (4) estimated value of lambda (unit is mm*10); (5) estimated value of p0.
Questions about the dataset should be sent to the following email address: carlo.demichele@polimi.it
Further details:
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
13.7 MBytes
