Northeastward propagation of nocturnal precipitation over the Sichuan Basin

Li, Juan; Li, Yueqing; Zhao, Tianliang; Schiemann, R.; Muetzelfeldt, Mark; Jiang, Xingwen

doi:10.1002/joc.6886

Cited by 12 publications

(16 citation statements)

References 34 publications

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“…A phase delay is evident going south-west to north-east across the Sichuan Basin, with a peak in amount and frequency at 2300 LST in the south-west of the basin shifting to 1000 LST in the north-east. This has been observed in other studies (e.g., Li et al, 2018Li et al, , 2020. Potential mechanisms include As in Yu et al (2007), their Fig.…”

Section: Diurnal Cyclesupporting

confidence: 83%

See 1 more Smart Citation

Evaluation of Asian summer precipitation in different configurations of a high-resolution GCM at a range of decision-relevant spatial scales

Muetzelfeldt¹,

Schiemann²,

Turner³

et al. 2021

Preprint

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Abstract. High-resolution general circulation models (GCMs) can provide new insights into the simulated distribution of global precipitation. We evaluate how summer precipitation is represented over Asia in global simulations with a grid length of 14 km. Three simulations were performed: one with a convection parametrization, one with convection represented explicitly by the model's dynamics, and a hybrid simulation with only shallow and mid-level convection parametrized. We evaluate the mean simulated precipitation and the diurnal cycle of the amount, frequency and intensity of the precipitation against satellite observations of precipitation from the Climate Prediction Center morphing method (CMORPH). We also compare the high-resolution simulations with coarser simulations that use parametrized convection. The simulated and observed precipitation is averaged over spatial scales defined by the hydrological catchment basins; these provide a natural spatial scale for performing decision-relevant analysis that is tied to the underlying regional physical geography. By selecting basins of different sizes, we evaluate the simulations as a function of the spatial scale. A new BAsin-Scale Model Assessment ToolkIt (BASMATI) is described, which facilitates this analysis. We find that there are strong wet biases (locally up to 72 mm day−1 at small spatial scales) in the mean precipitation over mountainous regions such as the Himalayas. The explicit convection simulation worsens existing wet and dry biases compared to the parametrized convection simulation. When the analysis is performed at different basin scales, the precipitation bias decreases as the spatial scales increase for all simulations; the lowest-resolution simulation has the smallest root mean squared error compared to CMORPH. In the simulations, a positive mean precipitation bias over China is primarily found to be due to too frequent precipitation for the parametrized convection simulation, and too intense precipitation for the explicit convection simulation. The simulated diurnal cycle of precipitation is strongly affected by the representation of convection: parametrized convection produces a peak in precipitation too close to midday over land, whereas explicit convection produces a peak that is closer to the late afternoon peak seen in observations. At increasing spatial scale, the representation of the diurnal cycle in the explicit and hybrid convection simulations improves when compared to CMORPH; this is not true for any of the parametrized simulations. Some of the strengths and weaknesses of simulated precipitation in a high-resolution GCM are found: the diurnal cycle is improved at all spatial scales with convection parametrization disabled; the interaction of the flow with orography exacerbates existing biases for mean precipitation in the high-resolution simulations; and parametrized simulations produce similar diurnal cycles regardless of their resolution. The need for tuning the high-resolution simulations is made clear. Our approach for evaluating simulated precipitation across a range of scales is widely applicable to other GCMs.

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Section: Diurnal Cyclesupporting

confidence: 83%

“…The most prominent feature is the Tibetan Plateau; we are interested in the effect that it has on precipitation, particularly that of its southern flank. The Sichuan Basin can also be distinguished, where the diurnal cycle of precipitation exhibits a clear phase propagation (Li et al, 2020).…”

Section: Basin-scale Error Statisticsmentioning

confidence: 99%

Evaluation of Asian summer precipitation in different configurations of a high-resolution GCM at a range of decision-relevant spatial scales

Muetzelfeldt¹,

Schiemann²,

Turner³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…This has been observed in other studies (e.g. Li et al, 2018Li et al, , 2020. Potential mechanisms include the interaction between the mean wind and the orography and the steering-level winds at 700 hPa affecting the propagation of mesoscale convective systems.…”

Section: Diurnal Cyclesupporting

confidence: 76%

“…The Sichuan Basin can also be distinguished, where the diurnal cycle of precipitation exhibits a clear phase propagation (Li et al, 2020). In Sect.…”

Section: Precipitation Over Asiamentioning

confidence: 99%

Evaluation of Asian summer precipitation in different configurations of a high-resolution general circulation model in a range of decision-relevant spatial scales

Muetzelfeldt

Schiemann

Turner

et al. 2021

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. High-resolution general circulation models (GCMs) can provide new insights into the simulated distribution of global precipitation. We evaluate how summer precipitation is represented over Asia in global simulations with a grid length of 14 km. Three simulations were performed: one with a convection parametrization, one with convection represented explicitly by the model's dynamics, and a hybrid simulation with only shallow and mid-level convection parametrized. We evaluate the mean simulated precipitation and the diurnal cycle of the amount, frequency, and intensity of the precipitation against satellite observations of precipitation from the Climate Prediction Center morphing method (CMORPH). We also compare the high-resolution simulations with coarser simulations that use parametrized convection. The simulated and observed precipitation is averaged over spatial scales defined by the hydrological catchment basins; these provide a natural spatial scale for performing decision-relevant analysis that is tied to the underlying regional physical geography. By selecting basins of different sizes, we evaluate the simulations as a function of the spatial scale. A new BAsin-Scale Model Assessment ToolkIt (BASMATI) is described, which facilitates this analysis. We find that there are strong wet biases (locally up to 72 mm d−1 at small spatial scales) in the mean precipitation over mountainous regions such as the Himalayas. The explicit convection simulation worsens existing wet and dry biases compared to the parametrized convection simulation. When the analysis is performed at different basin scales, the precipitation bias decreases as the spatial scales increase for all the simulations; the lowest-resolution simulation has the smallest root mean squared error compared to CMORPH. In the simulations, a positive mean precipitation bias over China is primarily found to be due to too frequent precipitation for the parametrized convection simulation and too intense precipitation for the explicit convection simulation. The simulated diurnal cycle of precipitation is strongly affected by the representation of convection: parametrized convection produces a peak in precipitation too close to midday over land, whereas explicit convection produces a peak that is closer to the late afternoon peak seen in observations. At increasing spatial scale, the representation of the diurnal cycle in the explicit and hybrid convection simulations improves when compared to CMORPH; this is not true for any of the parametrized simulations. Some of the strengths and weaknesses of simulated precipitation in a high-resolution GCM are found: the diurnal cycle is improved at all spatial scales with convection parametrization disabled, the interaction of the flow with orography exacerbates existing biases for mean precipitation in the high-resolution simulations, and parametrized simulations produce similar diurnal cycles regardless of their resolution. The need for tuning the high-resolution simulations is made clear. Our approach for evaluating simulated precipitation across a range of scales is widely applicable to other GCMs.

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“…Specifically, we will evaluate physical process discrepancies between observation and prediction linked to the diurnal variation of wind and atmospheric instability (Huang et al., 2013; Zong et al., 2019), which are important reasons for initiation of nocturnal precipitation over the SCB based on the research of Li, Jiang, and Heng (2021) and Li, Li, et al. (2021).…”

Section: Possible Reasons For Biases In the Diurnal Cycle Of Precipit...mentioning

confidence: 99%

Prediction of the Diurnal Variation of Summertime Precipitation Over the Sichuan Basin by a Regional Model

Jiang

Schiemann

et al. 2023

JGR Atmospheres

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The diurnal variation of precipitation is one of the most pronounced features that contributes greatly to the weather and climate, which is mainly affected by the large-scale circulation and regional forcing (Dai, 2001). The diurnal variation of precipitation is closely related to the topography, cloud processes, the evolution of convection, radiative transport, the diurnal cycle of atmospheric boundary layer. Therefore, the ability to correctly simulate the diurnal variation of precipitation is an important test for global and regional models (Arakawa &

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Northeastward propagation of nocturnal precipitation over the Sichuan Basin

Cited by 12 publications

References 34 publications

Evaluation of Asian summer precipitation in different configurations of a high-resolution GCM at a range of decision-relevant spatial scales

Evaluation of Asian summer precipitation in different configurations of a high-resolution GCM at a range of decision-relevant spatial scales

Evaluation of Asian summer precipitation in different configurations of a high-resolution general circulation model in a range of decision-relevant spatial scales

Prediction of the Diurnal Variation of Summertime Precipitation Over the Sichuan Basin by a Regional Model

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