Articles | Volume 38, issue 1
https://doi.org/10.5194/angeo-38-231-2020
https://doi.org/10.5194/angeo-38-231-2020
Regular paper
 | 
19 Feb 2020
Regular paper |  | 19 Feb 2020

Early morning peaks in the diurnal cycle of precipitation over the northern coast of West Java and possible influencing factors

Erma Yulihastin, Tri Wahyu Hadi, Nining Sari Ningsih, and Muhammad Ridho Syahputra

Data sets

The NCEP/NCAR 40-year reanalysis project (https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.pressure.html) E. Kalnay, M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, A. Leetmaa, R. Reynolds, R. Jenne, and D. Joseph https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2

A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (https://www.ncei.noaa.gov/thredds/catalog/OisstBase/NetCDF/AVHRR/catalog.html) V. Banzon, T. M. Smith, T. M. Chin, C. Liu, and W. Hankins https://doi.org/10.5194/essd-8-165-2016

TRMM (TMPA-RT) Near Real-Time IR precipitation estimate L3 1-hour 0.25 degree x 0.25 degree V7 George Huffman https://doi.org/10.5067/TRMM/TMPA/3H-E-IR/7

The TRMM Multi-Satellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined sensor precipitation estimates at fine scales (https://disc.gsfc.nasa.gov/datasets/TRMM_3B41RT_7/summary) G. J. Huffman, R. F. Adler, S. Curtis, D. T. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, Y. Hong, E. F. Stocker, and D. B. Wolf https://doi.org/10.1175/JHM560.1

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Short summary
The diurnal cycles of precipitation are not phase-locked to daily insolation; rather, their occurrences are associated with propagating systems. The early morning precipitation (EMP) events are distinctly characterized by large mean amplitudes and randomly distributed phases also marked by strong connectivity between precipitation systems over land and ocean. This implies that, even for a 24 h lead time, probabilistic forecast may be necessary to assess the hazard of heavy precipitation.