Abstract
Stable isotopes, δ2H, δ18O, and d-excess, are valuable tools as natural tracers of diffusion processes and phase changes in the global hydroclimatological cycle. The Indonesian Maritime Continent (IMC) is an archipelago area surrounded by very warm waters which induce convective activities as the primary heat source driving global atmospheric circulation. Given the central role of IMC in this hydroclimatological cycle, comprehensive study, and data collection on the stable isotopes of precipitation in this region is crucial. In this study, we collected monthly stable isotope data from 62 stations spread throughout the Indonesian archipelago from September 2010 to September 2017. We cleaned the data and conducted quality control activities by comparing the Local Meteoric Water Line (LMWL) to previous studies in a similar climatic region. We shared these data openly on our GitHub repository, making them easier to update and interact with users in the future.
Similar content being viewed by others
Code and data availability
All relevant code and data are available from this GitHub repository: https://github.com/sandyherho/imc-precip-iso.
References
Abhik S, Hendon HH, Zhang C (2023) The Indo-Pacific Maritime Continent barrier effect on MJO prediction. J Clim 36:945–957. https://doi.org/10.1175/JCLI-D-22-0010.1
Agrawal S, Vats D, Latuszyński K, Roberts GO (2023) Optimal scaling of MCMC beyond Metropolis. Adv Appl Probab 55:492–509. https://doi.org/10.1017/apr.2022.37
Ahn M-S, Kim D, Ham Y-G, Park S (2020) Role of Maritime Continent land convection on the mean state and MJO propagation. J Clim 33:1659–1675. https://doi.org/10.1175/JCLI-D-19-0342.1
Aldrian E, Susanto RD (2003) Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature. Int J Climatol 23:1435–1452. https://doi.org/10.1002/joc.950
Arellano LN, Good SP, Sánchez-Murillo R, Jarvis WT, Noone DC, Finkenbiner CE (2020) Bayesian estimates of the mean recharge elevations of water sources in the Central America region using stable water isotopes. J Hydrol Reg Stud 32:100739. https://doi.org/10.1016/j.ejrh.2020.100739
Bai H, Schumacher C (2022) Topographic influences on diurnally driven MJO rainfall over the Maritime Continent. J Geophys Res Atmos 127:e2021JD035905. https://doi.org/10.1029/2021JD035905
Belgaman HA, Ichiyanagi K, Tanoue M, Suwarman R (2016a) Observational research on stable isotopes in precipitation over Indonesian maritime continent. J Japan Ass Hidrol 46:7–28. https://doi.org/10.4145/jahs.46.7
Belgaman HA, Ichiyanagi K, Tanoue M, Suwarman R, Yoshimura K, Mori S, Kurita N, Yamanaka MD, Syamsudin F (2016b) Intraseasonal variability of δ18O of precipitation over the Indonesian maritime continent related to the Madden–Julian oscillation. Sci Online Lett Atmosphere 12:192–197. https://doi.org/10.2151/sola.2016-039
Bershaw J (2018) Controls on deuterium excess across Asia. Geosciences 8:257. https://doi.org/10.3390/geosciences8070257
Chang C-P, Harr PA, Chen H-J (2005a) Synoptic disturbances over the equatorial South China Sea and western Maritime Continent during boreal winter. Mon Weather Rev 133:489–503. https://doi.org/10.1175/MWR-2868.1
Chang C-P, Wang Z, McBride J, Liu C-H (2005b) Annual cycle of Southeast Asia—Maritime Continent rainfall and the asymmetric monsoon transition. J Clim 18:287–301. https://doi.org/10.1175/JCLI-3257.1
Chen J, Chen J, Zhang XJ, Peng P, Risi C (2023a) A century and a half precipitation oxygen isoscape for China generated using data fusion and bias correction. Sci Data 10:185. https://doi.org/10.1038/s41597-023-02095-1
Chen C, Sahany S, Moise AF, Chua XR, Hassim ME, Lim G, Prasanna V (2023b) ENSO–rainfall teleconnection over the Maritime Continent enhances and shifts eastward under warming. J Clim 36:4635–4663. https://doi.org/10.1175/JCLI-D-23-0036.1
Chib S, Greenberg E (1995) Understanding the Metropolis-Hastings Algorithm. Am Stat 49:327–335. https://doi.org/10.2307/2684568
Coplen TB (1988) Normalization of oxygen and hydrogen isotope data. Chem Geol Iso Sec 72:293–297. https://doi.org/10.1016/0168-9622(88)90042-5
Craig H (1961) Isotopic variations in meteoric waters. Science 133:1702–1703. https://doi.org/10.1126/science.133.3465.1702
Dansgaard W (1964) Stable isotopes in precipitation. Tellus 16:436–468. https://doi.org/10.1111/j.2153-3490.1964.tb00181.x
Evans MN, Tolwinski-Ward SE, Thompson DM, Anchukaitis KJ (2013) Applications of proxy system modeling in high resolution paleoclimatology. Quat Sci Rev 76:16–28. https://doi.org/10.1016/j.quascirev.2013.05.024
Fan Y, Shi X, Duan Q, Yu L (2022) Towards reliable uncertainty quantification for hydrologic predictions, Part I: development of a particle copula Metropolis Hastings method. J Hydrol 612:128163. https://doi.org/10.1016/j.jhydrol.2022.128163
Ferijal T, Batelaan O, Shanafield M (2021) Spatial and temporal variation in rainy season droughts in the Indonesian Maritime Continent. J Hydrol 603:126999. https://doi.org/10.1016/j.jhydrol.2021.126999
Fudeyasu H, Ichiyanagi K, Yoshimura K, Mori S, Hamada J-I, Sakurai N, Yamanaka MD, Matsumoto J, Syamsudin F (2011) Effects of large-scale moisture transport and mesoscale processes on precipitation isotope ratios observed at Sumatera, Indonesia. J Meteorol Soc Japan Ser II 89A:49–59. https://doi.org/10.2151/jmsj.2011-A03
Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S, Husak G, Rowland J, Harrison L, Hoell A et al (2015) The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Sci Data 2:1–21. https://doi.org/10.1038/sdata.2015.66
Gao C, Li G (2023) Asymmetric effect of ENSO on the maritime continent precipitation in decaying summers. Clim Dyn 61:2839–2852. https://doi.org/10.1007/s00382-023-06716-8
Godfrey JS (1996) The effect of the Indonesian throughflow on ocean circulation and heat exchange with the atmosphere: a review. J Geophys Res Oceans 101:12217–12237. https://doi.org/10.1029/95JC03860
De Graaf S, Vonhof HB, Weissbach T, Wassenburg JA, Levy EJ, Kluge T, Haug GH (2020) A comparison of isotope ratio mass spectrometry and cavity ring-down spectroscopy techniques for isotope analysis of fluid inclusion water. Rapid Commun Mass Spectrom 34:e8837. https://doi.org/10.1002/rcm.8837
Hakim AYA, Iskandar I, Septianto CP, Suwarman R, Fajrin A, Putri TA (2023) Controls on the mineralogical and geochemical dispersion in soil and water around a tailing storage facility in the epithermal gold–silver mine in Central Kalimantan, Indonesia. Geochemistry 83:125921. https://doi.org/10.1016/j.chemer.2022.125921
Hastings WK (1970) Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57:97–109. https://doi.org/10.1093/biomet/57.1.97
He S, Goodkin NF, Jackisch D, Ong MR, Samanta D (2018a) Continuous real-time analysis of the isotopic composition of precipitation during tropical rain events: Insights into tropical convection. Hydrol Process 32:1531–1545. https://doi.org/10.1002/hyp.11520
He S, Goodkin NF, Kurita N, Wang X, Rubin CM (2018b) Stable isotopes of precipitation during tropical Sumatra Squalls in Singapore. J Geophys Res Atmos 123:3812–3829. https://doi.org/10.1002/2017JD027829
He S, Jackisch D, Samanta D, Yi PKY, Liu G, Wang X, Goodkin NF (2021) Understanding tropical convection through triple oxygen isotopes of precipitation from the maritime continent. J Geophys Res Atmos 126:e2020JD033418. https://doi.org/10.1029/2020JD033418
Herho SHS (2022) A univariate extreme value analysis and change point detection of monthly discharge in Kali Kupang, Central Java, Indonesia. JOIV: Int J Inform Visualization 6:862–868. https://doi.org/10.30630/joiv.6.4.953
Hornberger GM (1995) New manuscript guidelines for the reporting of stable hydrogen, carbon, and oxygen isotope ratio data. Water Resour Res 31:2895–2895. https://doi.org/10.1029/95WR02430
Hu C, Lian T, Cheung H-N, Qiao S, Li Z, Deng K, Yang S, Chen D (2020) Mixed diversity of shifting IOD and El Niño dominates the location of Maritime Continent autumn drought. Natl Sci Rev 7:1150–1153. https://doi.org/10.1093/nsr/nwaa020
Hudson J, Maloney E (2023) The role of surface fluxes in MJO propagation through the Maritime Continent. J Clim 36:1633–1652. https://doi.org/10.1175/JCLI-D-22-0484.1
Hutchings JA, Konecky BL (2023) Optimization of a Picarro L2140–i cavity ring-down spectrometer for routine measurement of triple oxygen isotope ratios in meteoric waters. Atmos Meas Tech 16:1663–1682. https://doi.org/10.5194/amt-16-1663-2023
Jackisch D, Yeo BX, Switzer AD, He S, Cantarero DLM, Siringan FP, Goodkin NF (2022) Precipitation stable isotopic signatures of tropical cyclones in Metropolitan Manila, Philippines, show significant negative isotopic excursions. Nat Hazards Earth Syst Sci 22:213–226. https://doi.org/10.5194/nhess-22-213-2022
Jones GL, Qin Q (2022) Markov chain Monte Carlo in practice. Annu Rev Stat Appl 9:557–578. https://doi.org/10.1146/annurev-statistics-040220-090158
Kang X, Niu Y, Yu H, Gou P, Hou Q, Lu X, Wu Y (2022) Effect of rainfall-runoff process on sources and transformations of nitrate using a combined approach of dual isotopes, hydrochemical and Bayesian model in the Dagang River basin. Sci Total Environ 837:155674. https://doi.org/10.1016/j.scitotenv.2022.155674
Karras C, Karras A, Avlonitis M, Sioutas S (2022) An overview of mcmc methods: From theory to applications. In: IFIP international conference on artificial intelligence applications and innovations. Springer, pp 319–332
Klauenberg K, Wübbeler G, Mickan B, Harris P, Elster C (2015) A tutorial on Bayesian normal linear regression. Metrologia 52:878. https://doi.org/10.1088/0026-1394/52/6/878
Kurita N, Ichiyanagi K, Matsumoto J, Yamanaka MD, Ohata T (2009) The relationship between the isotopic content of precipitation and the precipitation amount in tropical regions. J Geochem Explor 102:113–122. https://doi.org/10.1016/j.gexplo.2009.03.002
Li M, Gordon AL, Gruenburg LK, Wei J, Yang S (2020) Interannual to decadal response of the Indonesian throughflow vertical profile to Indo-Pacific forcing. Geophys Res Lett 47:e2020GL087679. https://doi.org/10.1029/2020GL087679
Liu JY, Zhang FP, Feng Q, Wei YF, Huang LH, Li ZX, Nie S, Li L (2019) Stable isotopes characteristics of precipitation over Shaanxi-Gansu-Ningxia and its water vapor sources. J Appl Ecol 30:2191–2200. https://doi.org/10.13287/j.1001-9332.201907.021
Lu J, Li T, Shen X (2023) Precipitation diurnal cycle over the maritime continent modulated by ENSO. Clim Dyn 61:2547–2564. https://doi.org/10.1175/JCLI-D-20-0130.1
Maithani S, Pradhan M (2020) Cavity ring-down spectroscopy and its applications to environmental, chemical and biomedical systems. J Chem Sci 132:1–19. https://doi.org/10.1007/s12039-020-01817-x
Makarim S, Sprintall J, Liu Z, Yu W, Santoso A, Yan X-H, Susanto RD (2019) Previously unidentified Indonesian Throughflow pathways and freshening in the Indian Ocean during recent decades. Sci Rep 9:7364. https://doi.org/10.1038/s41598-019-43841-z
Malik F, Butt S, Mujahid N (2022) Variation in isotopic composition of precipitation with identification of vapor source using deuterium excess as tool. J Radioanal Nucl Chem 1–8. https://doi.org/10.1007/s10967-021-08136-6
Mao H, Wang C, Qu S, Liao F, Wang G, Shi Z (2023) Source and evolution of sulfate in the multi-layer groundwater system in an abandoned mine—Insight from stable isotopes and Bayesian isotope mixing model. Sci Total Environ 859:160368. https://doi.org/10.1016/j.scitotenv.2022.160368
Mäs S, Henzen D, Bernard L, Müller M, Jirka S, Senner I (2018) Generic schema descriptions for comma-separated values files of environmental data. In: The 21th AGILE international conference on geographic information science. https://www.agile-online.org/images/conferences/2018/documents/shortpapers/118M%C3%A4s-ShortPaper.pdf
McKinney W (2011) pandas: a foundational Python library for data analysis and statistics. Python High Perform Sci Comput 14:1–9
Merlivat L, Jouzel J (1979) Global climatic interpretation of the deuterium-oxygen 18 relationship for precipitation. J Geophys Res Oceans 84:5029–5033. https://doi.org/10.1029/JC084iC08p05029
Metropolis N, Rosenbluth AW, Rosenbluth MN, Teller AH, Teller E (1953) Equation of state calculations by fast computing machines. J Chem Phys 21:1087–1092. https://doi.org/10.1063/1.1699114
Munksgaard NC, Kurita N, Sánchez-Murillo R, Ahmed N, Araguas L, Balachew DL, Bird MI, Chakraborty S, Chinh NK, Cobb KM et al (2019) Data descriptor: daily observations of stable isotope ratios of rainfall in the tropics. Sci Rep 9:14419. https://doi.org/10.1038/s41598-019-50973-9
Nagai T, Hibiya T, Syamsudin F (2021) Direct estimates of turbulent mixing in the Indonesian archipelago and its role in the transformation of the Indonesian throughflow waters. Geophys Res Lett 48:e2020GL091731. https://doi.org/10.1029/2020GL091731
Nan Y, He Z, Tian F, Wei Z, Tian L (2021) Can we use precipitation isotope outputs of isotopic general circulation models to improve hydrological modeling in large mountainous catchments on the Tibetan Plateau? Hydrol Earth Syst Sci 25:6151–6172. https://doi.org/10.5194/hess-25-6151-2021
Peatman SC, Schwendike J, Birch CE, Marsham JH, Matthews AJ, Yang G-Y (2021) A local-to-large scale view of Maritime continent rainfall: control by ENSO, MJO, and equatorial waves. J Clim 34:8933–8953. https://doi.org/10.1175/JCLI-D-21-0263.1
Peng P, Zhang XJ, Chen J (2020) Bias correcting isotope-equipped GCMs outputs to build precipitation oxygen isoscape for eastern China. J Hydrol 589:125153. https://doi.org/10.1016/j.jhydrol.2020.125153
Perkel J (2016) Democratic databases: science on GitHub. Nature 538:127–128. https://doi.org/10.1038/538127a
Pfahl S, Sodemann H (2014) What controls deuterium excess in global precipitation? Clim past 10:771–781. https://doi.org/10.5194/cp-10-771-2014
Putman AL, Fiorella RP, Bowen GJ, Cai Z (2019) A global perspective on local meteoric water lines: Meta-analytic insight into fundamental controls and practical constraints. Water Resour Res 55:6896–6910. https://doi.org/10.1029/2019WR025181
Routson CC, McKay NP, Kaufman DS, Erb MP, Goosse H, Shuman BN, Rodysill JR, Ault T (2019) Mid-latitude net precipitation decreased with Arctic warming during the Holocene. Nature 568:83–87. https://doi.org/10.1038/s41586-019-1060-3
Rozanski K, Araguás-Araguás L, Gonfiantini R (1993) Isotopic patterns in modern global precipitation. Clim Change Cont Isotopic Rec 78:1–36. https://doi.org/10.1029/GM078p0001
Sagayama H, Racine NM, Shriver TC, Schoeller DA (2021) Comparison of isotope ratio mass spectrometry and cavity ring-down spectroscopy procedures and precision of the doubly labeled water method in different physiological specimens. Rapid Commun Mass Spectrom 35:e9188. https://doi.org/10.1002/rcm.9188
Salvatier J, Wiecki TV, Fonnesbeck C (2016) Probabilistic programming in Python using PyMC3. PeerJ Comput Sci 2:e55. https://doi.org/10.7717/peerj-cs.55
Sánchez-Murillo R, Durán-Quesada AM, Birkel C, Esquivel-Hernández G, Boll J (2017) Tropical precipitation anomalies and d-excess evolution during El Niño 2014–16. Hydrol Process 31:956–967. https://doi.org/10.1002/hyp.11088
Santoso A, England MH, Kajtar JB, Cai W (2022) Indonesian throughflow variability and linkage to ENSO and IOD in an ensemble of CMIP5 models. J Clim 35:3161–3178. https://doi.org/10.1175/JCLI-D-21-0485.1
Shao L, Tian L, Cai Z, Wang C, Li Y (2021) Large-scale atmospheric circulation influences the ice core d-excess record from the central Tibetan Plateau. Clim Dyn 57:1805–1816. https://doi.org/10.1007/s00382-021-05779-9
Sharma S, Mujumdar PP (2022) Modeling concurrent hydroclimatic extremes with parametric multivariate extreme value models. Water Resour Res 58:e2021WR031519. https://doi.org/10.1029/2021WR031519
South LF, Riabiz M, Teymur O, Oates CJ (2022) Postprocessing of MCMC. Annu Rev Stat Appl 9:529–555. https://doi.org/10.1146/annurev-statistics-040220-091727
Supari, Tangang F, Salimun E, Aldrian E, Sopaheluwakan A, Juneng L (2018) ENSO modulation of seasonal rainfall and extremes in Indonesia. Clim Dyn 51:2559–2580. https://doi.org/10.1007/s00382-017-4028-8
Suwarman R, Ichiyanagi K, Tanoue M, Yoshimura K, Mori S, Yamanaka MD, Kurita N, Syamsudin F (2013) The variability of stable isotopes and water origin of precipitation over the Maritime Continent. Sci Online Lett Atmosphere 9:74–78. https://doi.org/10.2151/sola.2013-017
Suwarman R, Ichiyanagi K, Tanoue M, Yoshimura K, Mori S, Yamanaka MD, Syamsudin F, Belgaman HA (2017) El Niño Southern Oscillation signature in atmospheric water isotopes over Maritime Continent during wet season. J Meteorol Soc Japan Ser II(95):49–66. https://doi.org/10.2151/jmsj.2017-003
Taylor D (2015) Work the shell: analyzing comma-separated values (csv) files. Linux J 2015:3
Torres-Martínez JA, Mora A, Knappett PSK, Ornelas-Soto N, Mahlknecht J (2020) Tracking nitrate and sulfate sources in groundwater of an urbanized valley using a multi-tracer approach combined with a Bayesian isotope mixing model. Water Res 182:115962. https://doi.org/10.1016/j.watres.2020.115962
Tritschler F, Binder M, Händel F, Burghardt D, Dietrich P, Liedl R (2020) Collected rain water as cost-efficient source for aquifer tracer testing. Groundwater 58:125–131. https://doi.org/10.1111/gwat.12898
Uieda L, Tian D, Leong WJ, Schlitzer W, Grund M, Jones M, Fröhlich Y, Toney L, Yao J, Magen Y, Tong J-H, Materna K, Belem A, Newton T, Anant A, Ziebarth M, Quinn J, Wessel P (2023) PyGMT: a python interface for the generic mapping tools. https://doi.org/10.5281/zenodo.3781524
Valdivielso S, Vázquez-Suñé E, Custodio E (2020) Origin and variability of oxygen and hydrogen isotopic composition of precipitation in the Central Andes: a review. J Hydrol 587:124899. https://doi.org/10.1016/j.jhydrol.2020.124899
Vargas D, Chimborazo O, László E, Temovski M, Palcsu L (2022) Rainwater isotopic composition in the Ecuadorian Andes and amazon reflects cross-equatorial flow seasonality. Water 14:2121. https://doi.org/10.3390/w14132121
Vinnarasi R, Dhanya CT (2022) Time-varying intensity-duration-frequency relationship through climate-informed covariates. J Hydrol 604:127178. https://doi.org/10.1016/j.jhydrol.2021.127178
Van Der Walt S, Colbert SC, Varoquaux G (2011) The NumPy array: a structure for efficient numerical computation. Comput Sci Eng 13:22–30. https://doi.org/10.1109/MCSE.2011.37
Wei Y, Pu Z, Zhang C (2020) Diurnal cycle of precipitation over the Maritime Continent under modulation of MJO: Perspectives from cloud-permitting scale simulations. J Geophys Res Atmos 125:e2020JD032529. https://doi.org/10.1029/2020JD032529
Wessel P, Luis JF, Uieda L, Scharroo R, Wobbe F, Smith WHF, Tian D (2019) The generic mapping tools version 6. Geochem Geophys Geosyst 20:5556–5564. https://doi.org/10.1029/2019GC008515
West M (1984) Outlier models and prior distributions in Bayesian linear regression. J R Stat Soc Ser B Methodol 46:431–439. https://doi.org/10.1111/j.2517-6161.1984.tb01317.x
Xia CC, Chen K, Zhou J, Mei J, Liu YP, Liu GD (2019a) Comparison of precipitation stable isotopes during wet and dry seasons in a subtropical monsoon climate region of China. Appl Ecol Environ Sci 17. https://doi.org/10.15666/aeer/1705_1197911993
Xia C, Liu G, Chen K, Hu Y, Zhou J, Liu Y, Mei J (2020) Stable isotope characteristics for precipitation events and their responses to moisture and environmental changes during the summer monsoon period in Southwestern China. Pol J Environ 29. https://doi.org/10.15244/pjoes/110445
Xia C, Liu G, Mei J, Meng Y, Liu W, Hu Y (2019b) Characteristics of hydrogen and oxygen stable isotopes in precipitation and the environmental controls in tropical monsoon climatic zone. Int J Hydrog Energy 44:5417–5427. https://doi.org/10.1016/j.ijhydene.2018.10.171
Xiao H-M, Lo M-H, Yu J-Y (2022) The increased frequency of combined El Niño and positive IOD events since 1965s and its impacts on maritime continent hydroclimates. Sci Rep 12:7532. https://doi.org/10.1038/s41598-022-11663-1
Xu H, Song S, Guo T, Wang H (2022) Two-stage hybrid model for hydrological series prediction based on a new method of partitioning datasets. J Hydrol 612:128122. https://doi.org/10.1016/j.jhydrol.2022.128122
Xue P, Malanotte-Rizzoli P, Wei J, Eltahir EAB (2020) Coupled ocean-atmosphere modeling over the Maritime Continent: a review. J Geophys Res Oceans 125:e2019JC014978. https://doi.org/10.1029/2019JC014978
Yamanaka MD (2016) Physical climatology of Indonesian maritime continent: an outline to comprehend observational studies. Atmos Res 178:231–259. https://doi.org/10.1016/j.atmosres.2016.03.017
Yang S, Zhang T, Li Z, Dong S (2019) Climate variability over the Maritime Continent and its role in global climate variation: a review. J Meteorol Res 33:993–1015. https://doi.org/10.1007/s13351-019-9025-x
Yoshikawa K, Úbeda J, Masías P, Pari W, Apaza F, Vasquez P, Ccallata B, Concha R, Luna G, Iparraguirre J et al (2020) Current thermal state of permafrost in the southern Peruvian Andes and potential impact from El Niño-Southern Oscillation (ENSO). Permafr Periglac Process 31:598–609. https://doi.org/10.1002/ppp.2064
Zaryab A, Nassery HR, Knoeller K, Alijani F, Minet E (2022) Determining nitrate pollution sources in the Kabul Plain aquifer (Afghanistan) using stable isotopes and Bayesian stable isotope mixing model. Sci Total Environ 823:153749. https://doi.org/10.1016/j.scitotenv.2022.153749
Zhang Q, Wang H, Lu C (2020) Tracing sulfate origin and transformation in an area with multiple sources of pollution in northern China by using environmental isotopes and Bayesian isotope mixing model. Environ Pollut 265:115105. https://doi.org/10.1016/j.envpol.2020.115105
Zhang J, Xu Z (2023) Vacuum extraction of high-salinity water for the determination of oxygen and hydrogen isotopic compositions using cavity ring-down spectroscopy. Microchem J 190:108678. https://doi.org/10.1016/j.microc.2023.108678
Zhu J, Guan Z, Wang X (2022) Variations of summertime SSTA independent of ENSO in the maritime continent and their possible impacts on rainfall in the Asian-Australian Monsoon Region. J Clim 35:7949–7964. https://doi.org/10.1175/JCLI-D-21-0783.1
Zolghadr-Asli B, Bozorg-Haddad O, Enayati M, Loáiciga HA (2022) Sensitivity of non-conditional climatic variables to climate-change deep uncertainty using Markov Chain Monte Carlo simulation. Sci Rep 12:1813. https://doi.org/10.1038/s41598-022-05643-8
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.
Funding
This study was supported by ITB Research, Community Service and Innovation Program (PPMI-ITB 2022 and 2023) and Japan Society for the Promotion of Science (JSPS) KAKENHI (#24510256 and #16H05619).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
Authors do not have any competing financial interest to declare.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Suwarman, R., Herho, S., Belgaman, H. et al. imc-precip-iso: open monthly stable isotope data of precipitation over the Indonesian Maritime Continent. J. of Data, Inf. and Manag. (2024). https://doi.org/10.1007/s42488-024-00116-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s42488-024-00116-1