Investigating diurnal and seasonal climatic response to land use and land cover change over monsoon Asia with the Community Earth System Model

Xu, Zhongfeng; Mahmood, Rezaul; Yang, Zong‐Liang; Fu, Congbin; Su, Hua

doi:10.1002/2014jd022479

Cited by 56 publications

(53 citation statements)

References 64 publications

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“…(Kumar et al, ; Lejeune et al, ; Pitman et al, ). Despite the existence of inconsistencies, most studies consistently concluded that LUCC (i.e., deforestation) could lead to more robust impacts on maximum ( T max ) and minimum temperature ( T min ) as well as other related extreme indices (e.g., diurnal temperature range) than mean temperature (Hua & Chen, ; Kalnay & Cai, ; P. J. Lawrence & Chase, ; X. Li et al, ; Voldoire & Royer, ; Xu et al, ; Zhang et al, ; Zhou et al, ).…”

Section: Introductionmentioning

confidence: 99%

Inconsistent Responses of Hot Extremes to Historical Land Use and Cover Change Among the Selected CMIP5 Models

Chen

Wei

et al. 2018

JGR Atmospheres

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Land use and cover change (LUCC) is an important anthropogenic forcing of the climate system. Previous studies have demonstrated that LUCC significantly impacts both mean and extreme temperatures. In this study, we explored the multimodel performance of simulating LUCC‐induced asymmetric effects on the different percentiles of maximum temperatures (Tmax) as well as the possible reasons for these effects using results from the fifth phase of the Coupled Model Intercomparison Project (CMIP5). Four state‐of‐art Earth system models (which provide the necessary data) are selected for investigating this issue. In general, all the cases of the model from the Geophysical Fluid Dynamics Laboratory show robust asymmetric responses between the 90th (TX90P) and 10th percentiles (TX10P) of Tmax, mainly due to cropland expansions, especially over India, the Sahel, and some parts of North America. However, weak and insignificant responses are shown for both the TX90P and TX10P in other models. The different changes in the Tmax variability among the models are primarily responsible for the occurrence of asymmetric features. Furthermore, by decomposing the Tmax changes over three typical regions, we analyze the potential causes for the inconsistencies among these models' results and find two crucial processes, that is, the repartitioning of the turbulent heat fluxes and the changes of the diurnal cycle variability due to LUCC. Whether these processes are pronounced determines the occurrence of the asymmetric Tmax responses. Overall, this study provides a critical clue for reducing the uncertainties of the LUCC effects on temperature extremes, which should be evaluated against observations.

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Section: Introductionmentioning

confidence: 99%

Inconsistent Responses of Hot Extremes to Historical Land Use and Cover Change Among the Selected CMIP5 Models

Chen

Wei

et al. 2018

JGR Atmospheres

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“…In this area, explore the climatic effects of land use cover change (LUCC) [14,37,[40][41][42][43]. The results from the simulations using actual albedo, LAI, and VF indicated that LUCC led to local cooling of 1 • C in the summer and local warming exceeding 0.8 • C in the winter.…”

Section: Introductionmentioning

confidence: 99%

Improved Atmospheric Modelling of the Oasis-Desert System in Central Asia Using WRF with Actual Satellite Products

et al. 2017

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Abstract:Because of the use of outdated terrestrial datasets, regional climate models (RCMs) have a limited ability to accurately simulate weather and climate conditions over heterogeneous oasis-desert systems, especially near large mountains. Using actual terrestrial datasets from satellite products for RCMs is the only possible solution to the limitation; however, it is impractical for long-period simulations due to the limited satellite products available before 2000 and the extremely time-and labor-consuming processes involved. In this study, we used the Weather Research and Forecasting (WRF) model with observed estimates of land use (LU), albedo, Leaf Area Index (LAI), and green Vegetation Fraction (VF) datasets from satellite products to examine which terrestrial datasets have a great impact on simulating water and heat conditions over heterogeneous oasis-desert systems in the northern Tianshan Mountains. Five simulations were conducted for 1-31 July in both 2010 and 2012. The decrease in the root mean squared error and increase in the coefficient of determination for the 2 m temperature (T2), humidity (RH), latent heat flux (LE), and wind speed (WS) suggest that these datasets improve the performance of WRF in both years; in particular, oasis effects are more realistically simulated. Using actual satellite-derived fractional vegetation coverage data has a much greater effect on the simulation of T2, RH, and LE than the other parameters, resulting in mean error correction values of 62%, 87%, and 92%, respectively. LU data is the primary parameter because it strongly influences other secondary land surface parameters, such as LAI and albedo. We conclude that actual LU and VF data should be used in the WRF for both weather and climate simulations.

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“…Therefore, the nonlinear responses in the CAM5.1‐SOM experiment, involving the oceanic feedbacks, are somewhat different from those in 1 × EXPT. It was reported that rainfall responses to anthropogenic forcing presented in ocean‐atmosphere coupled models show distinct features from those in the stand‐alone AGCMs [ Chung et al ., ; Wang et al ., ; Ma et al ., ; Xu et al ., ]. As a result, further investigation is needed to explore how the ocean‐atmosphere coupling effect modulates fast responses to the nonlinear interaction seen in 1 × EXPT.…”

Section: Discussionmentioning

confidence: 99%

Nonlinear effects of anthropogenic aerosol and urban land surface forcing on spring climate in eastern China

Deng

Zhang

2016

JGR Atmospheres

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Anthropogenic aerosols and urban land cover change induce opposite thermal effects on the atmosphere near surface as well as in the troposphere. One can think of these anthropogenic effects as composed of two parts: the individual effect due to an individual anthropogenic forcing and the nonlinear effects resulting from the coexistence of two forcing factors. In this study, we explored the role of such nonlinear effects in affecting East Asian climate, as well as individual forcing effects, using the Community Atmosphere Model version 5.1 coupled with the Community Land Model version 4. Atmospheric responses were simulated by including anthropogenic aerosol emission only, urban cover only, or the combination of the two, over eastern China. Results showed that nonlinear responses were different from any effects by an individual forcing or the linear combination of individual responses. The nonlinear interaction could generate cold horizontal temperature advection to cool the troposphere, which induced anomalous subsidence along the Yangtze River Valley (YRV). This anomalous vertical motion, together with a weakened low‐level southwesterly, favored below‐normal (above‐normal) rainfall over the YRV (southern China), shifting the spring rain belt southward. The resultant diabatic cooling, in turn, amplified the anomalous descent and further decreased tropospheric temperature over the YRV, forming a positive feedback loop to maintain the nonlinear effects. Consequently, the nonlinear effects acted to reduce the climate anomalies from a simple linear combination of two individual effects and played an important role in regional responses to one anthropogenic forcing when the other is prescribed.

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Investigating diurnal and seasonal climatic response to land use and land cover change over monsoon Asia with the Community Earth System Model

Cited by 56 publications

References 64 publications

Inconsistent Responses of Hot Extremes to Historical Land Use and Cover Change Among the Selected CMIP5 Models

Inconsistent Responses of Hot Extremes to Historical Land Use and Cover Change Among the Selected CMIP5 Models

Improved Atmospheric Modelling of the Oasis-Desert System in Central Asia Using WRF with Actual Satellite Products

Nonlinear effects of anthropogenic aerosol and urban land surface forcing on spring climate in eastern China

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