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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2022, Vol. 16 Issue (4) : 1052-1060    https://doi.org/10.1007/s11707-022-0982-5
RESEARCH ARTICLE
Impacts of cloud radiative processes on the convective and stratiform rainfall associated with Typhoon Fitow (2013)
Huiyan XU, Dengrong ZHANG()
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China
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Abstract

The three-dimensional Weather Research and Forecasting (WRF) model was used to conduct sensitivity experiments during the landfall of Typhoon Fitow (2013) to examine the impacts of cloud radiative processes on thermal balance. The vertical profiles of heat budgets, vertical velocity, and stability were analyzed to examine the physical processes responsible for cloud radiative effects on surface rainfall for Typhoon Fitow (2013). The inclusion of clouds reduced radiative cooling in ice and liquid cloud layers by reducing outgoing radiation. The suppressed radiative cooling reduced from the ice cloud layers to liquid cloud layers. This was conducive to reducing instability. The decreased instability was associated with the reduced upward motions. The reduced upward motion led to a decreased vertical mass convergence. Consequently, heat divergence was weakened to warm the atmosphere. Together with suppressed radiative cooling, these effects jointly suppressed net condensation and rainfall. Furthermore, the reduced rainfall due to the cloud radiative effects were mainly associated with the reduced convective and stratiform rainfall. The reduced convective rainfall was associated with the reduced net condensation, while the reduced stratiform rainfall was related to the constraint of hydrometeor convergence.

Keywords heat budget      radiative cooling      heat divergence      latent heat release      typhoon     
Corresponding Author(s): Dengrong ZHANG   
Online First Date: 26 September 2022    Issue Date: 11 January 2023
 Cite this article:   
Huiyan XU,Dengrong ZHANG. Impacts of cloud radiative processes on the convective and stratiform rainfall associated with Typhoon Fitow (2013)[J]. Front. Earth Sci., 2022, 16(4): 1052-1060.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-022-0982-5
https://academic.hep.com.cn/fesci/EN/Y2022/V16/I4/1052
Fig.1  Vertical profiles of differences in temperature tendency (Floc; blue) and its tendency due to heat divergence (Fhd; red), sensible heat (Fpbl; green), latent heat (Fmp; black) and radiative processes (Frad; orange) between the control experiment and the sensitivity experiment. Unit is °C·d?1.
Vertical levels 33
Model top 50 hPa
Shortwave radiation scheme Dudhia (1989)
Longwave radiation scheme Mlawer et al. (1997)
Cloud microphysical scheme Lin et al. (1983)
Land surface scheme Dudhia (1996)
Cumulus scheme N/A
Data used for initial and lateral boundary conditions National Centers for Environmental Prediction (NCEP) global forecast system (GFS) final (FNL) operational global analysis
Model integration period 0000 UTC 6 October – 1200 UTC 7 October 2013
Data analysis period 1200 UTC 6 October – 1200 UTC 7 October 2013
Tab.1  WRF Model setup
CTL NCR CTL?NCR
PS 69.550 72.710 ?3.160
QNC 69.710 73.630 ?3.920
QCM ?0.170 ?0.890 0.720
Tab.2  Daily and model domain means of surface rain rate (PS), net condensation (QNC), and hydrometeor convergence/divergence (QCM) for surface rainfall in CTL, and NCR, and their differences (CTL?NCR)
Fig.2  Vertical profiles of differences in the heat flux divergence (Fhd; red) and its components: divergence of horizontal heat flux (xytend; orange) and divergence of vertical heat flux (ztend; blue) between the control experiment and the sensitivity experiment. Unit is °C·d?1.
Fig.3  Vertical profiles of differences in vertical heat flux divergence (ztend; black; °C·d?1), interaction between mean temperature and mean vertical divergence ( ztend2; red; °C·d?1), mean temperature ( Fθ; orange; 10?1 oC), vertical divergence ( Fdω; magenta; 10?2 d?1), mean vertical temperature advection ( ztend1; blue; 10?1 oC·d?1), the divergence of perturbation vertical heat flux ( ztend3; green; °C·d?1) between the control experiment and the sensitivity experiment.
Fig.4  Vertical profiles of differences in ?ω (~ w;10?3 Pas?1) between the control and sensitivity experiments.
Convective rainfall
(a) CTL NCR CTL?NCR
PS 52.330 55.430 ?3.100
QNC 64.480 68.930 ?4.450
QCM ?12.160 ?13.470 1.310
Stratiform rainfall
(b) CTL NCR CTL?NCR
PS 17.220 17.280 ?0.06
QNC 5.230 4.700 0.53
QCM 11.990 12.580 ?0.59
Tab.3  Daily and model domain means of surface rain rate (PS), net condensation (QNC), and hydrometeor convergence/divergence (QCM) for (a) convective rainfall and (b) stratiform rainfall in CTL, and NCR, and their differences (CTL?NCR)
Fig.5  Time series of domain-mean surface rain rate (PS), net condensation (QNC), and hydrometeor convergence/divergence (QCM) for (a–c) convective rainfall and (d–f) stratiform rainfall in (a, d) CTL, and (b, e) NCR, and (c, f) their differences (CTL?NCR).
Fig.6  The temporal-vertical cross-section of (a, d) control, (b, e) NCR, and (c, f) their difference (CTL?NCR) in (a, b, c) solar radiative heating and (d, e, f) infrared radiative cooling between CTL to NCR. Unit: K·h?1.
Fig.7  The temporal-vertical cross-section of (a) control, (b) NCR, and (c) their difference (CTL?NCR) in temperature (unit: °C) between CTL to NCR.
Fig.8  The temporal-vertical cross-section of (a) control, (b) NCR, and (c) their difference (CTL?NCR) in vertical velocity (~ w; cm·s?1) between CTL to NCR.
Fig.9  A conceptual model for the probable mechanism of cloud radiation process affects precipitation.
1 S A, Braun, M T, Montgomery, K J, Mallen, P D Reasor. ( 2010). Simulation and interpretation of the genesis of Tropical Storm Gert (2005) as part of the NASA tropical cloud systems and processes experiment. J Atmos Sci, 67( 4): 999– 1025
https://doi.org/10.1175/2009JAS3140.1
2 S F, Cecelski, D Zhang. ( 2016). Genesis of Hurricane Julia (2010) within an African easterly wave: sensitivity to ice microphysics. J Appl Meteorol Climatol, 55( 1): 79– 92
https://doi.org/10.1175/JAMC-D-15-0105.1
3 L, Chen, Y, Li, Z Cheng. ( 2010). An overview of research and forecasting on rainfall associated with landfalling tropical cyclones. Adv Atmos Sci, 27( 5): 967– 976
https://doi.org/10.1007/s00376-010-8171-y
4 J Dudhia. ( 1989). Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J Atmos Sci, 46( 20): 3077– 3107
https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
5 J Dudhia. ( 1996). A multi-layer soil temperature model for MM5. Sixth Annual PSU/NCAR Mesoscale Model Users’ Workshop. Boulder: Colorado, 22– 24
6 Z, Feng, X, Dong, B, Xi, C, Schumacher, P, Minnis, M Khaiyer. ( 2011). Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective systems. J Geophys Res, 116( D23): D23202
https://doi.org/10.1029/2011JD016451
7 Q, Fu, S K, Krueger, K N Liou. ( 1995). Interactions of radiation and convection in simulated tropical cloud clusters. J Atmos Sci, 52( 9): 1310– 1328
https://doi.org/10.1175/1520-0469(1995)052<1310:IORACI>2.0.CO;2
8 S, Gao, X P, Cui, X Li. ( 2009). A modeling study of diurnal rainfall variations during the 21-day period of TOGA COARE. Adv Atmos Sci, 26( 5): 895– 905
https://doi.org/10.1007/s00376-009-8123-6
9 S, Gao, X Li. ( 2010). Precipitation equations and their applications to the analysis of diurnal variation of tropical oceanic rainfall. J Geophys Res, 115( D8): D08204
https://doi.org/10.1029/2009JD012452
10 W M, Gray, R W Jr Jacobson. ( 1977). Diurnal variation of deep cumulus convection. Mon Weather Rev, 105( 9): 1171– 1188
https://doi.org/10.1175/1520-0493(1977)105<1171:DVODCC>2.0.CO;2
11 R A Jr Houze. ( 1997). Stratiform precipitation in regions of convection: a meteorological paradox?. Bull Am Meteorol Soc, 78( 10): 2179– 2196
https://doi.org/10.1175/1520-0477(1997)078<2179:SPIROC>2.0.CO;2
12 X, Li S Gao ( 2011). Precipitation Modeling and Quantitative Analysis. Dordrecht: Springer Science & Business Media
13 X, Li, C H, Sui, K M, Lau, M D Chou. ( 1999). Large-scale forcing and cloud-radiation interaction in the tropical deep convective regime. J Atmos Sci, 56( 17): 3028– 3042
https://doi.org/10.1175/1520-0469(1999)056<3028:LSFACR>2.0.CO;2
14 X, Li, G, Zhai, S, Gao, X Shen. ( 2014). A new convective–stratiform rainfall separation scheme. Atmos Sci Lett, 15: 245– 251
15 D K Lilly. ( 1988). Cirrus outflow dynamics. J Atmos Sci, 45( 10): 1594– 1605
https://doi.org/10.1175/1520-0469(1988)045<1594:COD>2.0.CO;2
16 Y, Lin, R D, Farley, H D Orville. ( 1983). Bulk parameterization of the snow field in a cloud model. J Clim Appl Meteorol, 22( 6): 1065– 1092
https://doi.org/10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2
17 E J, Mlawer, S J, Taubman, P D, Brown, M J, Iacono, S A Clough. ( 1997). Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res, 102( D14): 16663– 16682
https://doi.org/10.1029/97JD00237
18 X, Shen, Y, Wang, X Li. ( 2011a). Effects of vertical wind shear and cloud radiative processes on responses of rainfall to the large-scale forcing during pre-summer heavy rainfall over southern China. Q J R Meteorol Soc, 137( 654): 236– 249
https://doi.org/10.1002/qj.735
19 X, Shen, Y, Wang, X Li. ( 2011b). Radiative effects of water clouds on rainfall responses to the large-scale forcing during pre-summer heavy rainfall over southern China. Atmos Res, 99( 1): 120– 128
https://doi.org/10.1016/j.atmosres.2010.09.011
20 X, Shen, Y, Wang, N, Zhang, X Li. ( 2010). Roles of large-scale forcing, thermodynamics, and cloud microphysics in tropical precipitation processes. Atmos Res, 97( 3): 371– 384
https://doi.org/10.1016/j.atmosres.2010.04.014
21 S, Shu, H, Xu, Zhang W and. ( 2020). Convective-stratiform rainfall of Typhoon Fitow (2013): sensitivity to rainfall partitioning methods. J Geophys Res Atmos, 125: e2019JD031510
https://doi.org/10.1029/2019JD031510
22 W C, Skamarock J B, Klemp J, Dudhia D O, Gill D M, Barker M G, Duda X, Huang W, Wang J G Powers ( 2008). A description of the Advanced Research WRF version 3, NCAR Tech, Note NCAR/TN-475+STR
23 M, Steiner R A Jr Houze ( 1993). Three-dimensional validation at TRMM ground truth sites: some early results from Darwin, Australia. In: 26th Int. Conf. on Radar Meteorology, Norman, OK, Amer Meteor Soc, 417– 420
24 C H, Sui, K M, Lau, Y N, Takayabu, D A Short. ( 1997). Diurnal variations in tropical oceanic cumulus convection during TOGA COARE. J Atmos Sci, 54( 5): 639– 655
https://doi.org/10.1175/1520-0469(1997)054<0639:DVITOC>2.0.CO;2
25 C H, Sui, K M, Lau, W K, Tao, J Simpson. ( 1994). The tropical water and energy cycles in a cumulus ensemble model. Part I: equilibrium climate. J Atmos Sci, 51( 5): 711– 728
https://doi.org/10.1175/1520-0469(1994)051<0711:TTWAEC>2.0.CO;2
26 C H, Sui, X, Li, K M Lau. ( 1998). Radiative-convective processes in simulated diurnal variations of tropical oceanic convection. J Atmos Sci, 55( 13): 2345– 2357
https://doi.org/10.1175/1520-0469(1998)055<2345:RCPISD>2.0.CO;2
27 C H, Sui, C T, Tsay, X Li. ( 2007). Convective-strati_form rainfall separation by cloud content. J Geophys Res, 112( D14): D14213
https://doi.org/10.1029/2006JD008082
28 W K, Tao, S, Lang, J, Simpson, C H, Sui, B, Ferrier, M D Chou. ( 1996). Mechanisms of cloud-radiation interaction in the tropics and midlatitudes. J Atmos Sci, 53( 18): 2624– 2651
https://doi.org/10.1175/1520-0469(1996)053<2624:MOCRII>2.0.CO;2
29 B, Wang, H, Xu, G, Zhai, X Li. ( 2018). The rainfall responses of Typhoon Soudelor (2015) to radiative processes of cloud species. J Geophys Res Atmos, 123( 8): 4284– 4293
https://doi.org/10.1029/2017JD027939
30 D, Wang, X, Li, W K Tao. ( 2010a). Cloud radiative effects on responses of rainfall to large-scale forcing during a landfall of severe tropical storm Bilis (2006). Atmos Res, 98( 2–4): 512– 525
https://doi.org/10.1016/j.atmosres.2010.08.020
31 D, Wang, X, Li, W K Tao. ( 2010b). Torrential rainfall responses to radiative and microphysical processes of ice clouds during a landfall of severe tropical storm Bilis (2006). Meteorol Atmos Phys, 109( 3–4): 107– 114
https://doi.org/10.1007/s00703-010-0097-5
32 H, Xu, X Li. ( 2017). Torrential rainfall processes associated with a landfall of typhoon Fitow (2013): a three-dimensional WRF modeling study. J Geophys Res, 122( 11): 6004– 6024
https://doi.org/10.1002/2016JD026395
33 K, Xu, D A Randall. ( 1995a). Impact of interactive radiative transfer on the macroscopic behavior of cumulus ensembles. Part I: radiation parameterization and sensitivity tests. J Atmos Sci, 52( 7): 785– 799
https://doi.org/10.1175/1520-0469(1995)052<0785:IOIRTO>2.0.CO;2
34 K, Xu, D A Randall. ( 1995b). Impact of interactive radiative transfer on the macroscopic behavior of cumulus ensembles. Part II: mechanisms for cloud-radiation interactions. J Atmos Sci, 52( 7): 800– 817
https://doi.org/10.1175/1520-0469(1995)052<0800:IOIRTO>2.0.CO;2
35 J, Yin D, Wang G, Zhai H, Wang H, Xu C Liu ( 2022). A modified double-moment bulk microphysics scheme toward the East Asia Monsoon region. Adv Atmos Sci
36 Z Yu. ( 2014). Overview of Severe Typhoon Fitow and its Operational Forecasts. Trop Cyclone Res Rev, 3: 22– 34
37 H, Zhu, H, Xu, X Li. ( 2018). Thermal and microphysical effects of ice clouds on torrential rainfall over northern China. J Geophys Res Atmos, 123( 21): 12228– 12235
https://doi.org/10.1029/2018JD029221
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