Sensitivity of simulated South America climate to the land surface schemes in RegCM4

Llopart, Marta; Rocha, Rosmeri Porfírio da; Reboita, Michelle Simões; Cuadra, Santiago Vianna

doi:10.1007/s00382-017-3557-5

Cited by 35 publications

(32 citation statements)

References 56 publications

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“…Atmospheric variables and SST were provided by the 1.5 • × 1.5 • ERA-Interim reanalysis dataset [34] as the initial and boundary conditions for RegCM4.45. The simulations used the Emanuel scheme for cumulus convection according to [35,36], which showed the combination of the Emanuel and CLM results in smaller errors in the RegCM4 simulations over SA than in other convection schemes.…”

Section: Discussionmentioning

confidence: 99%

Land Use Change over the Amazon Forest and Its Impact on the Local Climate

Llopart

Reboita

Coppola

et al. 2018

Water

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One of the most important anthropogenic influences on climate is land use change (LUC).In particular, the Amazon (AMZ) basin is a highly vulnerable area to climate change due to substantial modifications of the hydroclimatology of the region expected as a result of LUC. However, both the magnitude of these changes and the physical process underlying this scenario are still uncertain. This work aims to analyze the simulated Amazon deforestation and its impacts on local mean climate. We used the Common Land Model (CLM) version 4.5 coupled with the Regional Climate Model (RegCM4) over the Coordinated Regional Climate Downscaling Experiment (CORDEX) South America domain. We performed one simulation with the RegCM4 default land cover map (CTRL) and one simulation under a scenario of deforestation (LUC), i.e., replacing broadleaf evergreen trees with C 3 grass over the Amazon basin. Both simulations were driven by ERA Interim reanalysis from 1979 to 2009. The climate change signal due to AMZ deforestation was evaluated by comparing the climatology of CTRL with LUC. Concerning the temperature, the deforested areas are about 2 • C warmer compared to the CTRL experiment, which contributes to decrease the surface pressure. Higher air temperature is associated with a decrease of the latent heat flux and an increase of the sensible heat flux over the deforested areas. AMZ deforestation induces a dipole pattern response in the precipitation over the region: a reduction over the west (about 7.9%) and an increase over the east (about 8.3%). Analyzing the water balance in the atmospheric column over the AMZ basin, the results show that under the deforestation scenario the land surface processes play an important role and drive the precipitation in the western AMZ; on the other hand, on the east side, the large scale circulation drives the precipitation change signal. Dipole patterns over scenarios of deforestation in the Amazon was also found by other authors, but the precipitation decrease on the west side was never fully explained. Using budget equations, this work highlights the physical processes that control the climate in the Amazon basin under a deforestation scenario.

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Section: Discussionmentioning

confidence: 99%

Land Use Change over the Amazon Forest and Its Impact on the Local Climate

Llopart

Reboita

Coppola

et al. 2018

Water

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“…Earth and Space Science process, which affects climate change through material (water vapor, CO2, etc.) and energy exchange between the land surface and atmosphere, is an important process in climate systems (Llopart et al, 2017;Wang et al, 2015;Wang & Cheung, 2017). In this sensitivity analysis, the CLM (Oleson et al, 2008) and the biosphere-atmosphere transfer scheme (BATS) (Dickinson et al, 1993) were selected as the land surface process schemes.…”

Section: 1029/2019ea000819mentioning

confidence: 99%

Future Climate Projection in Northwest China With RegCM4.6

Pan

Zhang

Huang

2020

Earth and Space Science

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An effective assessment of future climate change, especially future precipitation forecasting, is an important basis for the rational development of adaptive strategies for Northwest China, where the ecological environment is fragile and encompasses arid and semiarid regions. In this work, the performance of a regional climate model is assessed; then, climate changes in the near future (2018–2037), middle future (2050–2069), and distant future (2080–2099) are analyzed under representative concentration pathways (RCPs) RCP2.6, RCP4.5, and RCP8.5. The following conclusions are drawn: (1) Compared to the Met Office Hadley Centre Earth System (HadGEM2‐ES) global climate model, the latest regional climate model, RegCM4.6, with a community land model land surface process scheme and Tiedtke cumulus convective parameterization, can create a good simulation of the present‐day mean climatology over Northwest China, including temperature, precipitation, and climate extremes, and can also provide finer‐scale climate information in complex terrain and better correct the cold bias than HadGEM2‐ES. At the same time, RegCM4 inherited the bias from HadGEM2‐ES, for example, both the RegCM4 and the HadGEM2‐ES overestimated precipitation in DJF in the southeast of the study area. (2) The future near surface air temperature will experience continuous warming over Northwest China under the RCP8.5 scenario, and the warming will become more significant and exceed 6 °C by the end of the 21st century. In RegCM4, future precipitation will continue to increase and will increase by 50 mm by the end of the 21st century relative to historical data. The extreme climate index summer days will continue to increase, indicating that high temperatures will be more frequent in Northwest China. In contrast, the consecutive dry days will decrease, likely because of the increase in precipitation.

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“…The climate cannot only be represented by models that simulate the atmospheric component, since the climate system is driven by interactions and feedbacks among their components (atmosphere, hydrosphere, cryosphere, biosphere, and lithosphere). In this way, the RCMs are coupled with the other models, such as ocean and land surface models . Giorgi gives additional information regarding the coupling of different climate system components.…”

Section: Basics Of Rcmsmentioning

confidence: 99%

“…mapped the Amazon and LPBs in the austral summer as hot spots, that is, regions where the land–atmosphere coupling plays a decisive role in simulating the atmosphere variables. Llopart et al . evaluated the impact of two land surface schemes (BATS and Community Land Model‐CLM3.5) coupled in RegCM4 in the simulated climatology.…”

Section: Rcm Applications Over South America: Past and Futurementioning

confidence: 99%

“…[10][11][12], and RCMs can be run for both past and future climates. They can be applied to sensitivity experiments (e.g., the response of cyclogenesis to South America (SA) topography 13 ), climate process studies (such as the surface-atmosphere interaction 14,15 ), seasonal climate forecast, 16,17 interannual variability, 12,[18][19][20][21] climate extreme events, 22 monsoons, 23 and climate projections, [24][25][26] just to mention a few applications. Therefore, RCMs allow the climate processes to be assessed, the impacts of climate change to be projected, 27 and also help decision makers to come to conclusions.…”

Section: Introductionmentioning

confidence: 99%

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The state of the art and fundamental aspects of regional climate modeling in South America

Ambrizzi

Reboita

Rocha

et al. 2018

Annals of the New York Academy of Sciences

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Regional climate models have been used since 1989 in order to improve climate simulation in regions where mesoscale forcings modulate the regional climate. These models are driven by time-dependent lateral boundary conditions from global climate models or reanalysis, and this process is called dynamical downscaling. Here, we review the evolution of regional climate modeling, as well as present the studies developed for South America.

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Sensitivity of simulated South America climate to the land surface schemes in RegCM4

Cited by 35 publications

References 56 publications

Land Use Change over the Amazon Forest and Its Impact on the Local Climate

Land Use Change over the Amazon Forest and Its Impact on the Local Climate

Future Climate Projection in Northwest China With RegCM4.6

The state of the art and fundamental aspects of regional climate modeling in South America

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