Research

Convective organisation and precipitation extremes

Example Image
(A) Fractional changes in daily precipitation over all regions (P), over the ocean (Po) and surface saturation specific humidity (qs*) as a function of precipitation percentile. P, Po, and qs* are sorted for each day and then averaged over each month from April to September. The changes are computed between 2070 and 1850 and are normalized by the mean surface temperature increase. The solid lines show the mean values of all months across four ensemble members. Shadings show the interquartile range. (B). Mean Iorg in 1850 versus 2070. The error bars show SEs from monthly variations. (C and D) Changes in daily precipitation extremes over all regions [ΔPn, (C)] and daily precipitation extremes over the ocean [ΔPo,n, (D)] versus changes in organization (ΔIorg). The changes are computed between 2070 and 1850 and are normalized by the mean surface temperature increase. Each dot represents the daily change averaged in 1 month, and colors from red to dark red indicate results for daily precipitation extremes at 95th, 99th, and 99.9th percentiles, respectively. Pentagrams are the mean values of all months.

Intensification of daily tropical precipitation extremes from more organized convection (Bao et al. 2024 Sci. Adv.)

Tropical precipitation extremes are projected to intensify in a warmer climate, but it is unclear what processes can regulate precipitation extremes. With a new generation of models (global storm-resolving model), ones that explicitly represent the transient dynamics of convective storms, this study highlights the importance of spatial clustering of convection at mesoscale, a process that is not resolved by conventional global climate models, to influence how precipitation extremes will change with warming. When convective storms are more clustered, tropical precipitation extremes increase with storms being less numerous but larger in size. Furthermore, the results indicate that potential possibility of strong intensification of the heaviest rainfall as climate warms is related to this mesoscale process.


Example Image
Probability density functions (PDFs) of instantaneous (a, c) and daily (b, d) precipitation in simulations with Goddard (GD; a, b) and Thompson (TH; c, d) microphysics schemes. PDFs of observed 1-min precipitation over the period 1998–2013 from the Atmospheric Radiation Measurement (ARM) station on Manus Island, Papua New Guinea, are also shown (a).

The Role of Convective Self-Aggregation in Extreme Instantaneous Versus Daily Precipitation (Bao&Sherwood 2019 JAMES)

The impacts of convective self-aggregation on extreme precipitation and updraft velocity are investigated by using the Weather Research and Forecasting Model in the idealized setting of radiative-convective equilibrium with a 3-km horizontal resolution. The results show that convective self-aggregation has a negligible impact on extreme instantaneous precipitation, but extreme daily precipitation increases significantly with increased aggregation. Extreme instantaneous precipitation is more sensitive to microphysical processes, while extreme daily precipitation is more sensitive to the degree of aggregation


Tropical temperature and lapse rates

Example Image
Spatial anomalies of the climatological monthly mean Tv500 (K; shading) and T500 (K; contours) averaged in (a) January and (b) July. The spatial anomalies are computed by subtracting the spatial mean values over 20°N–20°S for January and July.

Zonal Temperature Gradients in the Tropical Free Troposphere (Bao et al. 2022 J. Clim.)

We analyse ERA5 reanalysis data and discover that there exist substantial zonal temperature gradients in the tropical free troposphere. This contradicts the conventional understanding that the tropical free-tropospheric temperature is spatially uniform with weak temperature gradients.


Example Image
Mean profiles of θ̃s(Tc) and θe (Tc; qt, c) averaged over all grid points (black) and extremely humid grid points [colors from yellow to blue correspond to the 90th, 99th, 99.9th, 99.99th, and 99.999th percentiles of precipitable water (PW)]. Freezing levels are marked in red.

The Elements of the Thermodynamic Structure of the Tropical Atmosphere (Bao et al. 2021 J. Meteo. Soc. Japan)

By combining theoretical understanding of tropical thermal structure with data analysis using observations and global storm-resolving models (GSRMs), We find that the tropical atmosphere in saturated convective regions tends to adopt a thermal structure that is isentropic below the zero-degree isotherm and pseudo-adiabatic above it. However, the tropical mean temperature is substantially colder and is set by the bulk of convection, which is affected by entrainment in the lower troposphere.