Sensitivity of a regional climate model to land surface parameterization schemes for East Asian summer monsoon simulation

Li, Wenkai; Guo, Weidong; Xue, Yongkang; Fu, Congbin; Qiu, Bo

doi:10.1007/s00382-015-2964-8

Cited by 41 publications

(56 citation statements)

References 79 publications

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“…For example, Giorgi et al (2012) systematically evaluated RCM dependency of physics schemes and their parameterizations for Europe. Further investigation for East Asia is warranted for this issue, with the help of relevant sensitivity experiments considering different physics schemes like land surface or convective parameterization (e.g., Kang and Hong, 2008;Li et al, 2015).…”

Section: B Seasonal Temperaturesmentioning

confidence: 99%

Time of emergence of anthropogenic warming signals in the Northeast Asia assessed from multi-regional climate models

Lee

Min

Park

et al. 2016

Asia-Pacific J Atmos Sci

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Time of Emergence (ToE) is the time at which the signal of climate change emerges from the background noise of natural climate variability, and can provide useful information for climate change impacts and adaptations. This study examines future ToEs for daily maximum and minimum temperatures over the Northeast Asia using five Regional Climate Models (RCMs) simulations driven by single Global Climate Model (GCM) under two Representative Concentration Pathways (RCP) emission scenarios. Noise is defined based on the interannual variability during the present-day period and warming signals in the future years (2021-2100) are compared against the noise in order to identify ToEs. Results show that ToEs of annual mean temperatures occur between 2030s and 2040s in RCMs, which essentially follow those of the driving GCM. This represents the dominant influence of GCM boundary forcing on RCM results in this region. ToEs of seasonal temperatures exhibit larger ranges from 2030s to 2090s. The seasonality of ToE is found to be determined majorly by noise amplitudes. The earliest ToE appears in autumn when the noise is smallest while the latest ToE occurs in winter when the noise is largest. The RCP4.5 scenario exhibits later emergence years than the RCP8.5 scenario by 5-35 years. The significant delay in ToEs by taking the lower emission scenario provides an important implication for climate change mitigation. Daily minimum temperatures tend to have earlier emergence than daily maximum temperature but with low confidence. It is also found that noise thresholds can strongly affect ToE years, i.e. larger noise threshold induces later emergence, indicating the importance of noise estimation in the ToE assessment.

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Section: B Seasonal Temperaturesmentioning

confidence: 99%

Time of emergence of anthropogenic warming signals in the Northeast Asia assessed from multi-regional climate models

Lee

Min

Park

et al. 2016

Asia-Pacific J Atmos Sci

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“…Such uncertainties include, sensitivity to the domain size choice and boundary location (Seth and Giorgi 1998;Vannitsem and Chomé 2005;Xue et al 2007;Leduc and Laprise 2009;Gao et al 2012;Bhaskaran et al 2012;Browne and Sylla 2012;Centella-Artola et al 2015;Dash et al 2015;Song et al 2018), dynamical core within the same RCM (Gallus and Bresch 2006;Dodla et al 2011;Litta et al 2012), and land surface process parameterizations (e.g. Xue et al 2001Xue et al , 2010Vidale et al 2003;Chen et al 2014;Li et al 2016). For instance, focusing on the Contiguous United States (CONUS) summer climate, Xue et al (2007) found that when utilizing initial and lateral boundary conditions (LBCs) derived from Reanalysis II, the southern boundary location in the Gulf of Mexico (GoM) and Caribbean Sea is most relevant, while Bhaskaran et al (2012), using the HadRM3P, found that better simulation of the Indian summer monsoon precipitation variability was only achieved when considering a smaller domain.…”

Section: Introductionmentioning

confidence: 99%

Dynamical downscaling the impact of spring Western US land surface temperature on the 2015 flood extremes at the Southern Great Plains: effect of domain choice, dynamic cores and land surface parameterization

Diallo

Xue

et al. 2019

Clim Dyn

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“…The main physical parameterization options include the WRF Single‐Moment 6‐Class scheme (Hong & Lim, ) for microphysics, the Community Atmosphere Model scheme (Collins et al, ) for shortwave and longwave radiation, a revised MM5 surface layer scheme (Jiménez et al, ), the Unified Noah Land Surface Model (Noah LSM; Ek, ), the Yonsei University scheme (Hong et al, ) for planetary boundary layer, and the Kain‐Fritsch scheme (Kain, ) for cumulus convection. All of these options are common choices for simulations using the WRF model over this region (Li et al, ; Tang et al, ; Yu et al, ).…”

Section: Methodsmentioning

confidence: 99%

Do Uncertainties in the Reconstruction of Land Cover Affect the Simulation of Air Temperature and Rainfall in the CORDEX Region of East Asia?

Pitman

Guo

et al. 2019

JGR Atmospheres

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Land cover type reconstructions, required in climate models, commonly utilize remote sensing products. There are inevitable misclassifications in land cover reconstructions due to the retrieval process. We use the Weather Research and Forecasting model to determine whether these misclassifications can affect the simulations of air temperature and rainfall over the Coordinated Regional Climate Downscaling Experiment (CORDEX) East Asia region, where the accuracy of the land cover classification is low. The Moderate Resolution Imaging Spectroradiometer land cover map is used for the control simulations and is then replaced by the most likely alternative land cover type at pixels where the classification confidence is below various threshold values. Results show that misclassification‐induced land cover change can affect key biogeophysical characteristics (albedo, leaf area index, and roughness length) and these can affect the sensible and latent heat fluxes at regional scales. However, the impact on air temperature is very limited and is restricted to the Tibetan Plateau where warming of up to 2 °C occurs associated with the replacement of barren or sparsely vegetated land to grassland. The impact on rainfall is negligible, and most changes are likely caused by model internal variability rather than land cover change. Overall, uncertainties in the reconstruction of land cover have negligible impacts, and the Moderate Resolution Imaging Spectroradiometer land cover product can be used in regional simulations over East Asia. However, we note that land cover change experiments incorporating uncertainties must utilize large numbers of simulations if air temperature and rainfall changes are to be examined robustly.

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Sensitivity of a regional climate model to land surface parameterization schemes for East Asian summer monsoon simulation

Cited by 41 publications

References 79 publications

Time of emergence of anthropogenic warming signals in the Northeast Asia assessed from multi-regional climate models

Time of emergence of anthropogenic warming signals in the Northeast Asia assessed from multi-regional climate models

Dynamical downscaling the impact of spring Western US land surface temperature on the 2015 flood extremes at the Southern Great Plains: effect of domain choice, dynamic cores and land surface parameterization

Do Uncertainties in the Reconstruction of Land Cover Affect the Simulation of Air Temperature and Rainfall in the CORDEX Region of East Asia?

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