TY - JOUR
T1 - Spatio-temporal rainfall variability of equatorial small island
T2 - case study Bintan Island, Indonesia
AU - Narulita, Ida
AU - Fajary, Faiz R.
AU - Syahputra, M. Ridho
AU - Kusratmoko, Eko
AU - Djuwansah, M. R.
N1 - Funding Information:
We wish to thank the head of the Research Center of Oceanographic - LIPI with staff, the coordinator of the DDRF - Coremap CTI LIPI 2018–2019 with staff who have provided fund and facilities in carrying out this research. We would also to thank the head of the Research Center of Geotechnology LIPI for approving the research proposal, technicians who had collaborated in fieldwork. The second and the third authors are also partly supported by P3MI ITB and The Newton Fund - Dikti. We would also to thank the staff of the BAPPEDA of Riau Islands Province, BAPPEDA of Bintan Regency and Tanjungpinang City.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, AT part of Springer Nature.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - The water resources of Bintan Island depend much on rainfall since the impervious granitic basement that bears a low water storage capacity dominates the geology of Bintan Island. Water demand in Bintan is increasing due to both population and economic growth. This paper aims to determine the spatial and temporal rainfall variability over Bintan Island using the daily corrected-CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) version two (v2.0) dataset to a ground-based observation dataset (Kijang station) using quantile-base bias correction for period 1 January 1981–31 August 2018. For the analysis process, we used monthly corrected-CHIRPS, NINO 3.4 anomaly index, the DMI (dipole mode index), zonal and meridional wind, and specific humidity from January 1981 to December 2017. Semi-annual, annual, and interannual variations influence monthly rainfall amounts over the island. Two peaks representing equatorial and monsoonal patterns characterize the temporal variability of rainfall. Spatially, the southern part of the island receives more rainfall than the northern part especially in MAM and SON related to the more convergence of moisture. The effects of interannual variation, ENSO (El Niño-Southern Oscillation) and IOD (Indian Ocean dipole), vary with season. ENSO contributes more to rainfall variability than IOD during the period of study.
AB - The water resources of Bintan Island depend much on rainfall since the impervious granitic basement that bears a low water storage capacity dominates the geology of Bintan Island. Water demand in Bintan is increasing due to both population and economic growth. This paper aims to determine the spatial and temporal rainfall variability over Bintan Island using the daily corrected-CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) version two (v2.0) dataset to a ground-based observation dataset (Kijang station) using quantile-base bias correction for period 1 January 1981–31 August 2018. For the analysis process, we used monthly corrected-CHIRPS, NINO 3.4 anomaly index, the DMI (dipole mode index), zonal and meridional wind, and specific humidity from January 1981 to December 2017. Semi-annual, annual, and interannual variations influence monthly rainfall amounts over the island. Two peaks representing equatorial and monsoonal patterns characterize the temporal variability of rainfall. Spatially, the southern part of the island receives more rainfall than the northern part especially in MAM and SON related to the more convergence of moisture. The effects of interannual variation, ENSO (El Niño-Southern Oscillation) and IOD (Indian Ocean dipole), vary with season. ENSO contributes more to rainfall variability than IOD during the period of study.
UR - http://www.scopus.com/inward/record.url?scp=85101284666&partnerID=8YFLogxK
U2 - 10.1007/s00704-021-03527-x
DO - 10.1007/s00704-021-03527-x
M3 - Article
AN - SCOPUS:85101284666
SN - 0177-798X
VL - 144
SP - 625
EP - 641
JO - Theoretical and Applied Climatology
JF - Theoretical and Applied Climatology
IS - 1-2
ER -