Increase in the range between wet and dry season precipitation

Chou, Chia; Chiang, John C. H.; Lan, C. W.; Chung, Chia-Hui; Liao, Yi‐Chun; Lee, Chia-Jung

doi:10.1038/ngeo1744

Cited by 432 publications

(361 citation statements)

References 25 publications

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“…As in a previous study (Chou et al 2009(Chou et al , 2013Ma and Zhou 2015), the contribution of horizontal moisture advection to precipitation changes is relatively small, so it is not divided into three terms as the vertical one. Therefore, Eq.…”

Section: Analysis Methodsmentioning

confidence: 99%

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Water vapor transport for spring persistent rains over southeastern China based on five reanalysis datasets

Zhou

Chen

2017

Clim Dyn

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and the decreasing trend of the SPR is mainly due to the weakening of ascending motion during this period. In an El Niño decaying spring, the anomalous lower-tropospheric anticyclone over the western North Pacific intensifies vertical upward motion and leads to more precipitation. Both the Japanese 55-year reanalysis (JRA55) and the European Centre for Medium-Range Weather Forecast interim reanalysis (ERAIM) show higher skill in reproducing the climatology and changes of the SPR.

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Section: Analysis Methodsmentioning

confidence: 99%

“…Following previous studies (Chou and Lan 2012;Chou et al 2013;Huang et al 2013;Ma and Zhou 2015), the changes of vertical moisture advection − ⟨ p q ⟩ can be further divided as (Eq. 5), where (̄) denotes the climatology from 1980 to 2012.…”

Section: Analysis Methodsmentioning

confidence: 99%

Water vapor transport for spring persistent rains over southeastern China based on five reanalysis datasets

Zhou

Chen

2017

Clim Dyn

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“…Global climate models (GCMs) have been used to simulate and understand the mean state and the associated variability of climate, long-term trends of past climate (e.g., Chou et al, 2013;Deser et al, 2012), large-scale climatic response to various forcings (e.g., Ganguly et al, 2012a, b;Gent and Danabasoglu, 2011;Gettelman et al, 2012;Teng et al, 2012), and future climate under different forcing scenarios (e.g., Kravitz et al, 2011;Meehl et al, 2005Meehl et al, , 2012. However, it has been challenging for GCMs to accurately capture climate variability such as extreme weather events at regional and local scales (Kang et al, 2002;Zhang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Assessing the CAM5 physics suite in the WRF-Chem model: implementation, resolution sensitivity, and a first evaluation for a regional case study

et al. 2014

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Abstract.A suite of physical parameterizations (deep and shallow convection, turbulent boundary layer, aerosols, cloud microphysics, and cloud fraction) from the global climate model Community Atmosphere Model version 5.1 (CAM5) has been implemented in the regional model Weather Research and Forecasting with chemistry (WRF-Chem). A downscaling modeling framework with consistent physics has also been established in which both global and regional simulations use the same emissions and surface fluxes. The WRF-Chem model with the CAM5 physics suite is run at multiple horizontal resolutions over a domain encompassing the northern Pacific Ocean, northeast Asia, and northwest North America for April 2008 when the ARCTAS, ARCPAC, and ISDAC field campaigns took place. These simulations are evaluated against field campaign measurements, satellite retrievals, and ground-based observations, and are compared with simulations that use a set of common WRF-Chem parameterizations.This manuscript describes the implementation of the CAM5 physics suite in WRF-Chem, provides an overview of the modeling framework and an initial evaluation of the simulated meteorology, clouds, and aerosols, and quantifies the resolution dependence of the cloud and aerosol parameterizations. We demonstrate that some of the CAM5 biases, such as high estimates of cloud susceptibility to aerosols and the underestimation of aerosol concentrations in the Arctic, can be reduced simply by increasing horizontal resolution. We also show that the CAM5 physics suite performs similarly to a set of parameterizations commonly used in WRF-Chem, but produces higher ice and liquid water condensate amounts and near-surface black carbon concentration. Further evaluations that use other mesoscale model parameterizations and perform other case studies are needed to infer whether one parameterization consistently produces results more consistent with observations.

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“…Thus, where − is climatology and 〈 〉′ is the departure of change from the climatology, and − ω∂ p q ′ and − ω ′ ∂ pq denote the thermodynamic and dynamic contribution to the changes of vertical moisture advection, respectively. The thermodynamic contribution is directly affected by specific humidity changes, which is closely tied to temperature changes roughly following Clausius-Clapeyron (C-C) equation (Chou et al 2013). The dynamic contribution is directly linked to changes in large-scale vertical motion (Chou et al 2013).…”

Section: Moisture Budget Analysismentioning

confidence: 99%

“…The thermodynamic contribution is directly affected by specific humidity changes, which is closely tied to temperature changes roughly following Clausius-Clapeyron (C-C) equation (Chou et al 2013). The dynamic contribution is directly linked to changes in large-scale vertical motion (Chou et al 2013). …”

Section: Moisture Budget Analysismentioning

confidence: 99%

Drivers and mechanisms for enhanced summer monsoon precipitation over East Asia during the mid-Pliocene in the IPSL-CM5A

et al. 2015

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component of vertical moisture advection, resulting in enhanced mid-Pliocene EASM precipitation compared to PI in both simulations. Moist static energy diagnosis identifies the combined effect of enhanced zonal thermal contrast and column-integrated meridional stationary eddy velocity v * and its convergence ∂v * ∂y as the physical mechanisms that sustain the enhancement of mid-Pliocene EASM precipitation in both simulations compared to the PI experiments. This takes place through a strengthening of the EASM circulation and moisture transport into the EASM domain associated with an increase in local moisture convergence in the mid-Pliocene in both simulations. Moisture budget analysis also reveals that the larger area-averaged mid-Pliocene EASM precipitation increase in the CGCM compared to its AGCM component is mainly caused by the dynamical component contributing more to the vertical moisture advection in the CGCM (i.e. IPSL-CM5A) compared to its AGCM (LMDZ5). The large simulated differences in the spatial pattern of the mid-Pliocene EASM precipitation between the two simulations result from the combined effect of enhanced meridional thermal contrast over the EASM domain and increased v * convergence over South China in the CGCM simulation compared to the AGCM simulation.

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Increase in the range between wet and dry season precipitation

Cited by 432 publications

References 25 publications

Water vapor transport for spring persistent rains over southeastern China based on five reanalysis datasets

Water vapor transport for spring persistent rains over southeastern China based on five reanalysis datasets

Assessing the CAM5 physics suite in the WRF-Chem model: implementation, resolution sensitivity, and a first evaluation for a regional case study

Drivers and mechanisms for enhanced summer monsoon precipitation over East Asia during the mid-Pliocene in the IPSL-CM5A

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