README.md

imc-precip-iso: Open monthly stable isotope data of precipitation over the Indonesian Maritime Continent

This GitHub repository contains observational data on the traditional monthly isotopic compositions of the precipitation ($\delta^{2}$ H and $\delta^{18}$ O) over the Indonesian Maritime Continent, collected from 62 stations throughout Indonesia, along with the Python code used to process them. The data collection process was performed from September 2010 to September 2017.

We used the Picarro L2120-i water isotope analyzer with calibration using three water isotope standards, Aqua Standard^®. DOW, SLW2, and ICE2 at the Hydrology Laboratory of Kumamoto University, Japan. The cleaning process and simple data analysis were conducted at the Weather and Climate Prediction Laboratory (WCPL) of Bandung Institute of Technology (ITB), Indonesia. The following are the individuals involved in this project: R. Suwarman, S. H. S. Herho, H. A. Belgaman, K. Ichiyanagi, T. Uesugi, D. E. Irawan, I. M. Yosa, A. I. D. Utami, S. Prayogo, and E. Aldrian

License

These data and code were released under the GPL-3.0 License.

Citation

If you find these data useful, please consider citing our paper:

@article{SuwarmanEtAl23, author={Suwarman, R. and Herho, S. H. S. and Belgaman, H. A. and Ichiyanagi, K. and Uesugi, T. and Irawan, D. E. and Yosa, I.M. and Utami, A. I. D and Prayogo, S. and Aldrian, E.}, title={imc-precip-iso: open monthly stable isotope data of precipitation over the Indonesian Maritime Continent}, journal={J. of Data, Inf. and Manag.}, year={2024}, doi={https://doi.org/10.1007/s42488-024-00116-1} }

Requirements

We produced the data under the Python 3 computing environment by using the following libraries:

• matplotlib
• numpy
• pandas
• pygmt
• pymc3
• scikit-learn
• seaborn

Acknowledgements

We are grateful to Michael N. Evans (UMD) for discussing fractionation on precipitation isotopes in the tropics, which was useful in producing these data. This study was supported by ITB Research, Community Service and Innovation Program (PPMI-ITB) and Japan Society for the Promotion of Science (JSPS) KAKENHI (#24510256 and #16H05619).