Influence of Lake Malawi on regional climate from a double-nested regional climate model experiment

Diallo, Ismaïla; Giorgi, Filippo; Stordal, Frøde

doi:10.1007/s00382-017-3811-x

Cited by 37 publications

(36 citation statements)

References 52 publications

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“…In addition, all RCM cases capture the observed dry conditions in some parts/regions of the south-eastern US, while the simulated wet anomaly in the driving GCM case (Case GCM) probably due to stronger vertical motion (not shown), was inconsistent with the observed drought there, thereby emphasizing the added value of the dynamical downscaling for better simulations of local/regional and meso-scale processes (e.g. De Sales and Xue 2013;Xue et al 2014;Diallo et al 2016Diallo et al , 2018. Our results confirm that the spring WUS LST/SUBT anomaly plays a significant role in the development of the late spring SGP extreme precipitation.…”

Section: Domain Size and Boundary Locationmentioning

confidence: 93%

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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Section: Domain Size and Boundary Locationmentioning

confidence: 93%

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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“…Coupled RCM/lake models have been developed since the early years of regional modeling (Hostetler et al, ) and have been used in a variety of regional settings, including Europe (e.g., Samuelsson et al, ), the Great Lakes (e.g., Notaro et al, ), Lake Victoria (e.g., Thiery et al, ), Lake Malawi (Diallo et al, ), the Aral Sea (Small et al, ), and the Caspian Sea (Turuncoglu, Elguindi, et al, ). Within this context, mostly one dimensional convection‐diffusion lake models have been used but, despite the simplicity of these models, significant air‐sea feedbacks were identified.…”

Section: Main Achievements and Outstanding Issues In Rcm Researchmentioning

confidence: 99%

Thirty Years of Regional Climate Modeling: Where Are We and Where Are We Going next?

2019

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The year 2019 marks the thirtieth anniversary of the development of the first regional climate model (RCM), and here an overview is provided of the progress in regional modeling research and of the main challenges lying ahead. RCMs were primarily developed to provide fine‐scale climate information for impact studies, but they have evolved into general and multipurpose modeling tools. Among the main achievements in RCM research the focus is on: the development of community RCMs applicable to a wide variety of studies and regional contexts; the increase of model simulation length up to centennial scales and spatial resolutions up to convection‐permitting scales (few kilometers), leading to a better understanding of regional to local climate change signals; the development of fully coupled Regional Earth System Models; the inception of intercomparison projects culminating in the international Coordinated Regional Climate Downscaling Experiment; the extensive use of RCM simulations for impact assessments; and the involvement of the scientific community from developing countries in climate modeling research. Among the outstanding issues in need of more attention are the Added Value of using this downscaling technique; various technical aspects concerning RCM simulations; and uncertainties in RCM‐based climate projections. Future directions in RCM research are discussed, with highlight on: transition to convection‐permitting modeling systems; further development of Regional Earth System Models including the human component; next phase of the Coordinated Regional Climate Downscaling Experiment project; and use of RCMs in the distillation of actionable information for contribution to climate service activities. A brief historical overview of regional climate modeling is also presented.

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“…A list of the physical options available in RegCM4 is provided in Giorgi et al (2012). Based on previous studies over different African sub-regions (e.g., Mariotti et al 2014;Bamba et al 2015;Li et al 2015;Diallo et al 2015Diallo et al , 2016Diallo et al , 2018N'Datchoh et al 2018;Tall et al 2017) as well as a series of preliminary experiments, the following options were selected in this study: the radiation scheme from the NCAR Community Climate Model version 3 (CCM3; Kiehl et al 1996), the nonlocal vertical diffusion scheme of Holstag et al (1990) to represent the boundary layer processes, the sub-grid explicit moisture (SUBEX) resolvable scale precipitation scheme of Pal et al (2000), the ocean flux scheme of Zeng et al (1998), and the cumulus convection scheme of Grell et al (1994) with the Fritch-Chappell closure assumption (FC; Fritsch and Chappell 1980) to represent the convective precipitation.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The recent version of the regional climate model version 4.4 (RegCM4.4; hereafter referred to as RegCM4) N'Datchoh et al 2012N'Datchoh et al , 2018Diallo et al 2016Diallo et al , 2018Diasso and Abiodun 2017) Grell et al 1994). RegCM4 is an improved version of RegCM3 (Pal et al 2007) with multiples upgrades in the model physics parameterizations.…”

Section: Model Descriptionmentioning

confidence: 99%

Effect of the African greenbelt position on West African summer climate: a regional climate modeling study

Bamba

Diallo

N’Datchoh

et al. 2018

Theor Appl Climatol

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This modeling study is conducted to examine the potential impact of the reforestation (greenbelt) location (either in Sahel or in Guinean region) on West African summer climate system. To this end, three simulations using the regional climate model RegCM4 driven by ERA-Interim reanalysis were performed at 50 km horizontal resolution over a West African domain for the period 2000-2011. The first experiment, namely the control (CTRL), uses the standard vegetation cover, while the two others incorporate throughout the model integration, a zonal reforestation band of evergreen broadleaf over different locations: (i) over a 13°N-17°N band latitudes in a Sahel-Sahara region (experiment hereafter referred to as GB15N) and (ii) between 8. 5°N-11.5°N in the Guinea Coast region (experiment hereafter referred to as GB10N). A comparison of the CTRL experiment with observation reveals a faithful reproduction of the mean boreal and summer seasonal precipitation pattern, though substantial dry/wet biases remain, especially in the Atlantic Ocean. In addition, the seasonal cycle over sub-regions matches satisfactory the observed pattern. The GB15N reforestation leads to a precipitation increase in the range of 2-4 mm/day over the forested areas, whereas in the GB10N reforestation, precipitation increase is weaker and not necessarily located in the forested areas. Temperature cooling is observed over the reforested area and may be explained by a decrease of ground heat flux related to a reduction of the surface albedo.

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Influence of Lake Malawi on regional climate from a double-nested regional climate model experiment

Cited by 37 publications

References 52 publications

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

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

Thirty Years of Regional Climate Modeling: Where Are We and Where Are We Going next?

Effect of the African greenbelt position on West African summer climate: a regional climate modeling study

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