Articles | Volume 7, issue 3
https://doi.org/10.5194/wcd-7-1265-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-7-1265-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Diurnal cycles of cloud and rainfall over North-East Queensland during the coral bleaching season
Alanah Chapman
School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Australia
ARC Centre of Excellence for 21st Century Weather, Melbourne, VIC, Australia
CSIRO Environment, Melbourne, Australia
Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia
School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Australia
ARC Centre of Excellence for 21st Century Weather, Melbourne, VIC, Australia
Claire Vincent
School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Australia
ARC Centre of Excellence for 21st Century Weather, Melbourne, VIC, Australia
Related authors
No articles found.
Andrew Brown and Claire Vincent
Wind Energ. Sci., 11, 2287–2306, https://doi.org/10.5194/wes-11-2287-2026, https://doi.org/10.5194/wes-11-2287-2026, 2026
Short summary
Short summary
Sea breezes are characterised in potential offshore wind development areas in Australia. For most areas in summer, there are more available wind resources in the afternoon on days with sea breezes (by 15 %–30 %), with higher operational energy demand due to warmer air temperatures. The afternoon peak in wind speeds occurs at around the same time as peak energy demand. These findings have implications for energy system planning and wind farm development.
Lara S. Richards, Yi Huang, Michael A. Barnes, Chenhui Jin, Fadhlil R. Muhammad, Daniel P. Harrison, and Steven T. Siems
EGUsphere, https://doi.org/10.5194/egusphere-2026-2114, https://doi.org/10.5194/egusphere-2026-2114, 2026
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
Short summary
Short summary
The doldrums are regions of light winds and relatively clear skies found in the tropics. They often occur during severe coral bleaching events on the Great Barrier Reef yet remain poorly understood. This study examines why the doldrums form and persist, identifying how both tropical and extratropical weather systems align to first form the doldrums and that the stalling of these weather systems prolongs the doldrums persistence.
Wenhui Zhao, Yi Huang, Steven Siems, and Daniel Harrison
EGUsphere, https://doi.org/10.5194/egusphere-2026-1251, https://doi.org/10.5194/egusphere-2026-1251, 2026
Short summary
Short summary
Using convection-permitting WRF simulations, this study examines how marine cloud brightening over the GBR depends on aerosol emission strength and spatial distribution. Densely spaced sources generate more uniform aerosol enhancements and stronger cloud microphysical responses than sparsely distributed sources, despite identical emissions. CDNC and optical depth increase strongly, indicating a dominant Twomey effect, while cloud water and coverage respond weakly.
Andrew Brown, Claire Vincent, and Ewan Short
Geosci. Model Dev., 19, 933–953, https://doi.org/10.5194/gmd-19-933-2026, https://doi.org/10.5194/gmd-19-933-2026, 2026
Short summary
Short summary
We developed software to identify sea breezes from weather model output, using three different methods, and applied these to four models for a 6-month period over Australia. We tested each method using case studies and statistics of sea breeze occurrences, finding that a method that identifies atmospheric moisture fronts performs well. Some potential errors are demonstrated due to detection of other frontal systems, but this method could be useful for robustly analyzing sea breezes from models.
Lara S. Richards, Steven T. Siems, Yi Huang, Daniel P. Harrison, and Wenhui Zhao
Weather Clim. Dynam., 7, 109–127, https://doi.org/10.5194/wcd-7-109-2026, https://doi.org/10.5194/wcd-7-109-2026, 2026
Short summary
Short summary
By studying the variability of the trade winds during the Great Barrier Reef coral bleaching season, we show that ocean heating and a higher risk of coral bleaching are linked to the breakdown of the trade winds into either calm and clear conditions or a monsoon-like northerly flow. Years with mass coral bleaching are also associated with more "calm and clear" days in the warmest months and fewer strong trade wind days on the fringe months of the bleaching season.
Zhaoyang Kong, Andrew T. Prata, Peter T. May, Ariaan Purich, Yi Huang, and Steven T. Siems
Weather Clim. Dynam., 6, 1643–1660, https://doi.org/10.5194/wcd-6-1643-2025, https://doi.org/10.5194/wcd-6-1643-2025, 2025
Short summary
Short summary
To investigate why ERA5 (European Centre for Medium-Range Weather Forecasts Reanalysis v5) does not accurately capture the observed increase in annual precipitation at Macquarie Island during 1979 to 2023, we classify daily synoptic systems using k-means clustering. Find that the increase in mean intensity across all systems is the main contributor to the observed annual precipitation trend and the resulting discrepancy, rather than changes in the frequency. And this increase may also have a substantial impact on the freshwater fluxes over the Southern Ocean.
Claire L. Vincent, Adam Nahar, and Kelvin Say
Wind Energ. Sci., 10, 2435–2447, https://doi.org/10.5194/wes-10-2435-2025, https://doi.org/10.5194/wes-10-2435-2025, 2025
Short summary
Short summary
The most important days for wind energy to make a large contribution to the electricity supply are when electricity demand is high. We examined the wind resource of southeast Australia on these days. We found that most hot high-demand days are influenced by a similar weather pattern, while cold high-demand days can be cold, wet, and windy or associated with widespread light winds. These results are important when considering the types of weather that could influence future wind energy.
Tahereh Alinejadtabrizi, Yi Huang, Francisco Lang, Steven Siems, Michael Manton, Luis Ackermann, Melita Keywood, Ruhi Humphries, Paul Krummel, Alastair Williams, and Greg Ayers
Atmos. Chem. Phys., 25, 2631–2648, https://doi.org/10.5194/acp-25-2631-2025, https://doi.org/10.5194/acp-25-2631-2025, 2025
Short summary
Short summary
Clouds over the Southern Ocean are crucial to Earth's energy balance, but understanding the factors that control them is complex. Our research examines how weather patterns affect tiny particles called cloud condensation nuclei (CCN), which influence cloud properties. Using data from Kennaook / Cape Grim, we found that winter air from Antarctica brings cleaner conditions with lower CCN, while summer patterns from Australia transport more particles. Precipitation also helps reduce CCN in winter.
Claire L. Vincent and Andrew J. Dowdy
Atmos. Chem. Phys., 24, 10209–10223, https://doi.org/10.5194/acp-24-10209-2024, https://doi.org/10.5194/acp-24-10209-2024, 2024
Short summary
Short summary
We investigate how wind speed at the height of a wind turbine changes during El Niño and La Niña years and with season and time of day in southeastern Australia. We found that El Niño and La Niña can cause average wind speed differences of around 1 m s-1 in some regions. The highest wind speeds occur in the afternoon or evening around mountains or the coast and during the night for inland areas. The results help show how placement of wind turbines can help balance electricity generation.
Wenhui Zhao, Yi Huang, Steven Siems, Michael Manton, and Daniel Harrison
Atmos. Chem. Phys., 24, 5713–5736, https://doi.org/10.5194/acp-24-5713-2024, https://doi.org/10.5194/acp-24-5713-2024, 2024
Short summary
Short summary
We studied how shallow clouds and rain behave over the Great Barrier Reef (GBR) using a detailed weather model. We found that the shape of the land, especially mountains, and particles in the air play big roles in influencing these clouds. Surprisingly, the sea's temperature had a smaller effect. Our research helps us understand the GBR's climate and how various factors can influence it, where the importance of the local cloud in thermal coral bleaching has recently been identified.
Francisco Lang, Steven T. Siems, Yi Huang, Tahereh Alinejadtabrizi, and Luis Ackermann
Atmos. Chem. Phys., 24, 1451–1466, https://doi.org/10.5194/acp-24-1451-2024, https://doi.org/10.5194/acp-24-1451-2024, 2024
Short summary
Short summary
Marine low-level clouds play a crucial role in the Earth's energy balance, trapping heat from the surface and reflecting sunlight back into space. These clouds are distinguishable by their large-scale spatial structures, primarily characterized as hexagonal patterns with either filled (closed) or empty (open) cells. Utilizing satellite observations, these two cloud type patterns have been categorized over the Southern Ocean and North Pacific Ocean through a pattern recognition program.
Francisco Lang, Luis Ackermann, Yi Huang, Son C. H. Truong, Steven T. Siems, and Michael J. Manton
Atmos. Chem. Phys., 22, 2135–2152, https://doi.org/10.5194/acp-22-2135-2022, https://doi.org/10.5194/acp-22-2135-2022, 2022
Short summary
Short summary
Marine low-level clouds cover vast areas of the Southern Ocean, and they are essential to the Earth system energy balance. We use 3 years of satellite observations to group low-level clouds by their spatial structure using a pattern-recognizing program. We studied two primary cloud type patterns, i.e. open and closed clouds. Open clouds are uniformly distributed over the storm track, while closed clouds are most predominant in the southeastern Indian Ocean. Closed clouds exhibit a daily cycle.
Cited articles
Aoki, S. and Shige, S.: Control of Low-Level Wind on the Diurnal Cycle of Tropical Coastal Precipitation, J. Climate, 37, 229–247, https://doi.org/10.1175/JCLI-D-23-0180.1, 2024. a
As-syakur, A. R., Imaoka, K., Ogawara, K., Yamanaka, M. D., Tanaka, T., Kashino, Y., Nuarsa, I. W., and Osawa, T.: Analysis of Spatial and Seasonal Differences in the Diurnal Rainfall Cycle over Sumatera Revealed by 17-Year TRMM 3B42 Dataset, SOLA, 15, 216–221, https://doi.org/10.2151/sola.2019-039, 2019. a
Berry, G. J. and Reeder, M. J.: The Dynamics of Australian Monsoon Bursts, J. Atmos. Sci., 73, 55–69, https://doi.org/10.1175/JAS-D-15-0071.1, 2016. a
Birch, C. E., Webster, S., Peatman, S. C., Parker, D. J., Matthews, A. J., Li, Y., and Hassim, M. E. E.: Scale Interactions between the MJO and the Western Maritime Continent, J. Climate, 29, 2471–2492, https://doi.org/10.1175/JCLI-D-15-0557.1, 2016. a, b
Bowden, A. J., Jakob, C., and Soderholm, J.: Identification of Rainfall Events and Heavy Rainfall Events From Radar Measurements in Southeastern Australia, J. Geophys. Res.-Atmos., 129, e2023JD039253, https://doi.org/10.1029/2023JD039253, 2024. a
Bui, H. X., Maloney, E. D., Short, E., and Riley Dellaripa, E. M.: Diurnal Cycle of Wind Speed and Precipitation Over the Northern Australia Coastal Region: CYGNSS Observations, Geophys. Res. Lett., 50, e2023GL103005, https://doi.org/10.1029/2023GL103005, 2023. a
Chapman, A.: Code for Diurnal cycles of cloud and rainfall over North–East Queensland during the coral bleaching season, GitHub [code], https://github.com/alanah-chapman/diurnal-cylces-of-clouds-and-rainfall-over-NE-QLD-during-CBS (last access: 26 June 2026), 2026. a
Christopoulos, C. and Schneider, T.: Assessing Biases and Climate Implications of the Diurnal Precipitation Cycle in Climate Models, Geophys. Res. Lett., 48, e2021GL093017, https://doi.org/10.1029/2021GL093017, 2021. a
Clark, P., Roberts, N., Lean, H., Ballard, S. P., and Charlton-Perez, C.: Convection-permitting models: a step-change in rainfall forecasting, Meteorol. Appl., 23, 165–181, https://doi.org/10.1002/met.1538, 2016. a
Covey, C., Gleckler, P. J., Doutriaux, C., Williams, D. N., Dai, A., Fasullo, J., Trenberth, K., and Berg, A.: Metrics for the Diurnal Cycle of Precipitation: Toward Routine Benchmarks for Climate Models, J. Climate, 29, 4461–4471, https://doi.org/10.1175/JCLI-D-15-0664.1, 2016. a
Dao, T. L., Vincent, C. L., and Lane, T. P.: Multiscale Influences on Rainfall in Northeast Australia, J. Climate, 36, 5989–6006, https://doi.org/10.1175/JCLI-D-22-0835.1, 2023. a
Dao, T. L., Vincent, C. L., Huang, Y., Peatman, S. C., Soderholm, J. S., Birch, C. E., and Roberts, D. S.: Joint modulation of coastal rainfall in Northeast Australia by local and large-scale forcings, Q. J. Roy. Meteorol. Soc., 152, e70027, https://doi.org/10.1002/qj.70027, 2025a. a, b, c
Dao, T. L., Vincent, C. L., Huang, Y., and Soderholm, J. S.: Modulations of local rainfall in northeast Australia associated with the Madden–Julian oscillation during austral summer, Q. J. Roy. Meteorol. Soc., 151, e4995, https://doi.org/10.1002/qj.4995, 2025b. a
Dipankar, A., Webster, S., Huang, X.-Y., and Doan, V. Q.: Understanding Biases in Simulating the Diurnal Cycle of Convection over the Western Coast of Sumatra: Comparison with Pre-YMC Observation Campaign, Mon. Weather Rev., 147, 1615–1631, https://doi.org/10.1175/MWR-D-18-0432.1, 2019. a
Hassim, M. E. E., Lane, T. P., and Grabowski, W. W.: The diurnal cycle of rainfall over New Guinea in convection-permitting WRF simulations, Atmos. Chem. Phys., 16, 161–175, https://doi.org/10.5194/acp-16-161-2016, 2016. a
Hohenegger, C., Brockhaus, P., and Schär, C.: Towards climate simulations at cloud-resolving scales, Meteorol. Z., 17, 383–394, https://doi.org/10.1127/0941-2948/2008/0303, 2008. a
Huang, Y., Lane, T., Ayat, H., Su, C.-H., Wales, S., Roberts, D., Petrelli, P., Vincent, C., Franklin, C., Dao, T. L., Chambers, C., Lopez-Bravo, C., Brown, A., Liu, S., Reid, K., Shaddock, R., Dix, M., Arblaster, J., and Jakob, C.: AUS2200: a high-resolution limited-area modelling project for Australia, J. Southern Hemisphere Earth Syst. Sci., 76, ES25068, https://doi.org/10.1071/ES25068, 2026. a
Huang, Z., Feng, M., Dalton, S. J., and Carroll, A. G.: Marine heatwaves in the Great Barrier Reef and Coral Sea: their mechanisms and impacts on shallow and mesophotic coral ecosystems, Sci. Total Environ., 908, 168063, https://doi.org/10.1016/j.scitotenv.2023.168063, 2024. a
Kendon, E. J., Stratton, R. A., Tucker, S., et al.: Enhanced future changes in wet and dry extremes over Africa at convection-permitting scale, Nat. Commun., 10, 1794, https://doi.org/10.1038/s41467-019-09776-9, 2019. a
Kong, Q. and Zhao, S.: Heavy rainfall caused by interactions between monsoon depression and middle-latitude systems in Australia: a case study, Meteorol. Atmos. Phys., 106, 205–226, https://doi.org/10.1007/s00703-010-0060-5, 2010. a
Lawrey, E. P. and Stewart, M.: Complete Great Barrier Reef (GBR) reef and island feature boundaries including Torres Strait (NESP TWQ 3.13, AIMS, TSRA, GBRMPA), https://doi.org/10.26274/vhj5-gr60, 2016. a
Leahy, S. M., Kingsford, M. J., and Steinberg, C. R.: Do Clouds Save the Great Barrier Reef? Satellite Imagery Elucidates the Cloud-SST Relationship at the Local Scale, 8, e70400, https://doi.org/10.1371/journal.pone.0070400, 2013. a
Lopez-Bravo, C., Vincent, C. L., and Huang, Y.: Himawari-8 GeoCat 1.0.3 Australian Domain Level 1 v1.0, https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f7882_5837_8565_1103 (last access: 11 October 2023), 2021b. a
Lopez-Bravo, C., Vincent, C. L., Huang, Y., and Lane, T. P.: A Case Study of a West Sumatra Squall Line Using Satellite Observations, Mon. Weather Rev., 151, 523–543, https://doi.org/10.1175/MWR-D-21-0194.1, 2023a. a, b
Lopez-Bravo, C., Vincent, C. L., Huang, Y., and Lane, T. P.: The Diurnal Cycle of Rainfall and Deep Convective Clouds Around Sumatra and the Associated MJO-Induced Variability During Austral Summer in Himawari-8, J. Geophys. Res.-Atmos., 128, e2023JD039132, https://doi.org/10.1029/2023JD039132, 2023b. a, b, c, d, e, f
Lopez-Bravo, C., Vincent, C. L., Huang, Y., and Lane, T. P.: Impacts of the Madden-Julian Oscillation on Widespread Heavy Rainfall Over the Western Region of the Maritime Continent: Sumatra, J. Geophys. Res.-Atmos., 130, e2025JD043493, https://doi.org/10.1029/2025JD043493, 2025. a
Love, B. S., Matthews, A. J., and Lister, G. M. S.: The diurnal cycle of precipitation over the Maritime Continent in a high-resolution atmospheric model: Diurnal Cycle Over the Maritime Continent, Q. J. Roy. Meteorol. Soc., 137, 934–947, https://doi.org/10.1002/qj.809, 2011. a, b
Mapes, B. E., Warner, T. T., and Xu, M.: Diurnal Patterns of Rainfall in Northwestern South America. Part III: Diurnal Gravity Waves and Nocturnal Convection Offshore, Mon. Weather Rev., 131, 830–844, https://doi.org/10.1175/1520-0493(2003)131<0830:DPORIN>2.0.CO;2, 2003. a, b
Masson, S., Terray, P., Madec, G., Luo, J.-J., Yamagata, T., and Takahashi, K.: Impact of intra-daily SST variability on ENSO characteristics in a coupled model, Clim. Dynam., 39, 681–707, https://doi.org/10.1007/s00382-011-1247-2, 2012. a
May, P. T., Long, C. N., and Protat, A.: The Diurnal Cycle of the Boundary Layer, Convection, Clouds, and Surface Radiation in a Coastal Monsoon Environment (Darwin, Australia), J. Climate, 25, 5309–5326, https://doi.org/10.1175/JCLI-D-11-00538.1, 2012. a
May, P. T., Trewin, B., Nairn, J. R., Ostendorf, B., Su, C.-H., and Moise, A.: Diurnal and Seasonal Variability of Near-Surface Temperature and Humidity in the Maritime Continent, J. Appl. Meteorol. Climatol., 61, 1819–1834, https://doi.org/10.1175/JAMC-D-22-0032.1, 2022. a
McGowan, H. and Theobald, A.: Atypical weather patterns cause coral bleaching on the Great Barrier Reef, Australia during the 2021–2022 La Niña, Sci. Rep., 13, 6397, https://doi.org/10.1038/s41598-023-33613-1, 2023. a
McGowan, H., Sturman, A. P., MacKellar, M. C., Wiebe, A. H., and Neil, D. T.: Measurements of the local energy balance over a coral reef flat, Heron Island, southern Great Barrier Reef, Australia, J. Geophys. Res.-Atmos., 115, https://doi.org/10.1029/2010JD014218, 2010. a
Mori, S., Jun-Ichi, H., Tauhid, Y. I., Yamanaka, M. D., Okamoto, N., Murata, F., Sakurai, N., Hashiguchi, H., and Sribimawati, T.: Diurnal Land–Sea Rainfall Peak Migration over Sumatera Island, Indonesian Maritime Continent, Observed by TRMM Satellite and Intensive Rawinsonde Soundings, Mon. Weather Rev., 132, 2021–2039, https://doi.org/10.1175/1520-0493(2004)132<2021:DLRPMO>2.0.CO;2, 2004. a, b, c
Neale, R. and Slingo, J.: The Maritime Continent and Its Role in the Global Climate: A GCM Study, J. Climate, 16, 834–848, https://doi.org/10.1175/1520-0442(2003)016<0834:TMCAIR>2.0.CO;2, 2003. a, b
NOAA National Geophysical Data Center: 2-minute Gridded Global Relief Data (ETOPO2) v2, https://doi.org/10.7289/V5J1012Q, 2006. a, b, c
Pearson, K. J., Lister, G. M. S., Birch, C. E., Allan, R. P., Hogan, R. J., and Woolnough, S. J.: Modelling the diurnal cycle of tropical convection across the “grey zone”, Q. J. Roy. Meteorol. Soc., 140, 491–499, https://doi.org/10.1002/qj.2145, 2014. a
Peatman, S. C., Schwendike, J., Birch, C. E., Marsham, J. H., Matthews, A. J., and Yang, G.-Y.: A Local-to-Large Scale View of Maritime Continent Rainfall: Control by ENSO, MJO, and Equatorial Waves, J. Climate, 34, 8933–8953, https://doi.org/10.1175/JCLI-D-21-0263.1, 2021. a
Peatman, S. C., Birch, C. E., Schwendike, J., Marsham, J. H., Dearden, C., Webster, S., Neely, R. R., and Matthews, A. J.: The Role of Density Currents and Gravity Waves in the Offshore Propagation of Convection over Sumatra, Mon. Weather Rev., 151, 1757–1777, https://doi.org/10.1175/MWR-D-22-0322.1, 2023. a
Pereira, L. G. and Rutledge, S. A.: Diurnal Cycle of Shallow and Deep Convection for a Tropical Land and an Ocean Environment and Its Relationship to Synoptic Wind Regimes, Mon. Weather Rev., 134, 2688–2701, https://doi.org/10.1175/MWR3181.1, 2006. a
Rauniyar, S. P. and Walsh, K. J. E.: Scale Interaction of the Diurnal Cycle of Rainfall over the Maritime Continent and Australia: Influence of the MJO, J. Climate, 24, 325–348, https://doi.org/10.1175/2010JCLI3673.1, 2011. a
Richards, L. S., Siems, S. T., Huang, Y., Zhao, W., Harrison, D. P., Manton, M. J., and Reeder, M. J.: The Meteorological Drivers of Mass Coral Bleaching on the Central Great Barrier Reef during the 2022 La Niña, Sci. Rep., 14, 23867, https://doi.org/10.1038/s41598-024-74181-2, 2024. a
Richards, L. S., Siems, S. T., Huang, Y., Harrison, D. P., and Zhao, W.: Trade wind regimes during the Great Barrier Reef coral bleaching season, Weather Clim. Dynam., 7, 109–127, https://doi.org/10.5194/wcd-7-109-2026, 2026. a, b
Sakaeda, N., Kiladis, G., and Dias, J.: The Diurnal Cycle of Tropical Cloudiness and Rainfall Associated with the Madden–Julian Oscillation, J. Climate, 30, 3999–4020, https://doi.org/10.1175/JCLI-D-16-0788.1, 2017. a
Short, E., Vincent, C. L., and Lane, T. P.: Diurnal Cycle of Surface Winds in the Maritime Continent Observed through Satellite Scatterometry, Mon. Weather Rev., 147, 2023–2044, https://doi.org/10.1175/MWR-D-18-0433.1, 2019. a
Slingo, P. Inness, R. Neale, S. Woolnough, and G. Yang: Scale interactions on diurnal toseasonal timescales and their relevanceto model systematic errors, Ann. Geophys., 46, https://doi.org/10.4401/ag-3383, 2003. a
Stevens, B., Satoh, M., Auger, L., Biercamp, J., Bretherton, C. S., Chen, X., Düben, P., Judt, F., Khairoutdinov, M., Klocke, D., Kodama, C., Kornblueh, L., Lin, S., Neumann, P., Putman, W. M., Röber, N., Shibuya, R., Vanniere, B., Vidale, P. L., Wedi, N., and Zhou, L.: DYAMOND: the DYnamics of the Atmospheric general circulation Modeled on Non-hydrostatic Domains, Prog. Earth Planet. Sci., 6, 61, https://doi.org/10.1186/s40645-019-0304-z, 2019. a
Su, C.-H., Dharssi, I., Le Marshall, J., Le, T., Rennie, S., Smith, A., Stassen, C., Steinle, P., Torrance, J., and Wang, C.: BARRA2: development of the next-generation Australian regional atmospheric reanalysis, Bureau of Meteorology, https://doi.org/10.25914/1x6g-2v48, 2022. a, b
Tang, S., Gleckler, P., Xie, S., Lee, J., Ahn, M.-S., Covey, C., and Zhang, C.: Evaluating the Diurnal and Semidiurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations, J. Climate, 34, 3189–3210, https://doi.org/10.1175/JCLI-D-20-0639.1, 2021. a
Vincent, C. L. and Huang, Y.: Meso‐ and microscale response to variation in cloudiness at three forested sites in the Maritime Continent, Quarterly J. Roy. Meteorol. Soc., 148, 418–433, https://doi.org/10.1002/qj.4212, 2022. a
Vincent, C. L. and Lane, T. P.: Evolution of the Diurnal Precipitation Cycle with the Passage of a Madden–Julian Oscillation Event through the Maritime Continent, Mon. Weather Rev., 144, https://doi.org/10.1175/MWR-D-15-0326.1, 2016. a, b, c
Wheeler, M. C. and McBride, J. L.: Australasian Monsoon, in: Intraseasonal Variability in the Atmosphere-Ocean Climate System, pp. 147–197, Springer Berlin Heidelberg, ISBN 978-3-642-13914-7, https://doi.org/10.1007/978-3-642-13914-7_5, 2012. a
Xie, S., Wang, Y.-C., Lin, W., Ma, H.-Y., Tang, Q., Tang, S., Zheng, X., Golaz, J.-C., Zhang, G. J., and Zhang, M.: Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function, J. Adv. Model. Earth Syst., 11, 2290–2310, https://doi.org/10.1029/2019MS001702, 2019. a
Yamanaka, M. D., Ogino, S.-Y., Wu, P.-M., Jun-Ichi, H., Mori, S., Matsumoto, J., and Syamsudin, F.: Maritime continent coastlines controlling Earth's climate, Prog. Earth Planet. Sci., 5, 21, https://doi.org/10.1186/s40645-018-0174-9, 2018. a
Yang and Slingo: The Diurnal Cycle in the Tropics, Mon. Weather Rev., 129, 784–801, https://doi.org/10.1175/1520-0493(2001)129<0784:TDCITT>2.0.CO;2, 2001. a, b
Yokoi, S., Mori, S., Katsumata, M., Geng, B., Yasunaga, K., Syamsudin, F., Nurhayati, and Yoneyama, K.: Diurnal Cycle of Precipitation Observed in the Western Coastal Area of Sumatra Island: Offshore Preconditioning by Gravity Waves, Mon. Weather Rev., 145, 3745–3761, https://doi.org/10.1175/MWR-D-16-0468.1, 2017. a, b
Zhao, W., Huang, Y., Siems, S., and Manton, M.: A characterization of clouds over the Great Barrier Reef and the role of local forcing, Int. J. Climatol., 42, 6647–6664, https://doi.org/10.1002/joc.7660, 2022. a, b
Short summary
Mass coral bleaching on the Great Barrier Reef is driven by unusually warm ocean temperatures, but cloud cover also plays a critical role by regulating how much sunlight reaches the ocean. This study examines daily patterns of clouds and rainfall over north-east Queensland during bleaching seasons using satellite, radar, and regional weather data. Clouds and rainfall patterns differ between land, ocean and wind conditions, helping improve understanding of processes influencing reef heat stress.
Mass coral bleaching on the Great Barrier Reef is driven by unusually warm ocean temperatures,...