On the Importance of Precipitation‐Induced Surface Sensible Heat Flux for Diurnal Cycle of Precipitation in the Maritime Continent
Abstract The Maritime Continent (MC) exhibits a pronounced diurnal cycle in precipitation, with many high‐resolution models overestimating the diurnal peak and predicting earlier precipitation over the islands than observed. We hypothesize that part of this model bias comes from ignoring precipitation‐induced surface sensible heat flux ( Q P ). To test this conjecture, we performed simulations with and without Q P for April 2009 and June 2006. The inclusion of Q P reduced the bias in diurnal peak precipitation amplitude by 83% in April 2009 and 23% in June 2006. Similarly, the bias in precipitation peak timing decreased by 26% and 15%, respectively. This bias reduction was even more prominent during periods of heavier rainfall. This improvement in both the amplitude and phase of diurnal precipitation also led to a reduction in bias for total precipitation by ∼10%. These findings suggest that Q P cannot be neglected over the MC, particularly during heavy precipitation.
Authors
- Pallav Ray (ORCID: https://orcid.org/0000-0001-8924-1852)
- Nathaniel C. Johnson (ORCID: https://orcid.org/0000-0003-4906-178X)
- Jimy Dudhia (ORCID: https://orcid.org/0000-0002-2394-6232)
- Mukul Tewari (ORCID: https://orcid.org/0000-0002-0623-9800)
- Samson Hagos (ORCID: https://orcid.org/0000-0001-7591-9933)
- Efthymios I. Nikolopoulos (ORCID: https://orcid.org/0000-0002-5206-1249)
- Xin Zhou (ORCID: https://orcid.org/0000-0001-7985-7629)
Institutions
- Rutgers, The State University of New Jersey (US)
- Florida Institute of Technology (US)
- NSF National Center for Atmospheric Research (US)
- Pacific Northwest National Laboratory (US)
- NOAA Geophysical Fluid Dynamics Laboratory (US)
- IBM Research - Thomas J. Watson Research Center (US)
Publication Details
- Journal
- Geophysical Research Letters
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1029/2024gl111940
- Citations
- 2
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- National Science Foundation
- U.S. Department of Energy
- National Center for Atmospheric Research
- Computational and Information Systems Laboratory
- National Oceanic and Atmospheric Administration
- Climate Program Office