Multiyear simulation of the African climate using a regional climate model (RegCM3) with the high resolution ERA-interim reanalysis

Sylla, Mouhamadou Bamba; Coppola, Erika; Mariotti, Laura; Giorgi, Filippo; Ruti, Paolo; Dell’Aquila, Alessandro; Bi, X.

doi:10.1007/s00382-009-0613-9

Cited by 155 publications

(163 citation statements)

References 53 publications

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“…In conclusion, although HadGEM3-RA shows some weaknesses, such as a dry bias over much of the Sahel and Guinea Coast region, its performance in replicating the spatial distribution of rainfall appears in line with that documented in previous studies using either RegCM3 (Sylla et al 2009(Sylla et al , 2010bDiallo et al 2010;Abiodun et al 2012) or other state-of-the-science regional climate modelling systems (e.g. Diallo et al 2012Diallo et al , 2013aHernán-dez-Díaz et al 2013;Nikulin et al 2012;Gbobaniyi et al 2013;Sylla et al 2013b).…”

Section: Precipitation Climatologysupporting

confidence: 86%

Simulation of the West African monsoon onset using the HadGEM3-RA regional climate model

et al. 2014

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Section: Precipitation Climatologysupporting

confidence: 86%

Simulation of the West African monsoon onset using the HadGEM3-RA regional climate model

et al. 2014

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“…However, GCMs are limited in predicting the regional characteristics of the monsoon and its interannual variation, due to coarse resolution (Gadgil and Sajini, 1998;Gadgil et al, 2005;Kang et al, 2002;Krishnamurti et al, 2000;Krishnakumar et al, 2005;Wang et al, 2005). Regional climate models (RCMs) are used for dynamical downscaling of global model analysis/forecasts to study regional climate processes, regional climate change and its variability (Sylla et al, 2010;Gao et al, 2007;Giorgi et al, 2004;Seth et al, 2006). Application of RCMs have been proposed for better simulation of the ISM and its seasonal rainfall patterns (Bhaskaran et al, 1996) as they can effectively represent regional orography and sub-grid-scale physical processes.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Indian summer monsoon onset-phase rainfall using a regional model

et al. 2015

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Abstract. This study examines the ability of the Advanced Research WRF (ARW) regional model to simulate Indian summer monsoon (ISM) rainfall climatology in different climate zones during the monsoon onset phase in the decade 2000-2009. The initial and boundary conditions for ARW are provided from the NCEP/NCAR Reanalysis Project (NNRP) global reanalysis. Seasonal onset-phase rainfall is compared with corresponding values from 0.25 • IMD (India Meteorological Department) rainfall and NNRP precipitation data over seven climate zones (perhumid, humid, dry/moist, subhumid, dry/moist, semiarid and arid) of India to see whether dynamical downscaling using a regional model yields advantages over just using large-scale model predictions. Results show that the model could simulate the onset phase in terms of progression and distribution of rainfall in most zones (except over the northeast) with good correlations and low error metrics. The observed mean onset dates and their variability over different zones are well reproduced by the regional model over most climate zones. It has been found that the ARW performed similarly to the reanalysis in most zones and improves the onset time by 1 to 3 days in zones 4 and 7, in which the NNRP shows a delayed onset compared to the actual IMD onset times. The variations in the onset-phase rainfall during the below-normal onset (June negative) and above-normal onset (June positive) phases are well simulated. The slight underestimation of onset-phase rainfall in the northeast zone could be due to failure in resolving the wide extent of topographic variations and the associated multiscale interactions in that zone. Spatial comparisons showed improvement of pentad rainfall in both space and quantity in ARW simulations over NNRP data, as evident from a wider eastward distribution of pentad rainfall over the Western Ghats, central and eastern India, as in IMD observations. While NNRP under-represented the high pentad rainfall over northeast, east and west coast areas, the ARW captured these regional features showing improvement upon NNRP reanalysis, which may be due to the high resolution (30 km) employed. The onset-phase rainfall characteristics during the contrasting ISM of 2003 and 2009 are well simulated in terms of the variations in the strength of low-level jet (LLJ) and outgoing long-wave radiation (OLR).

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“…However, studies show that RCMs do not necessarily improve their driving GCM simulations or global reanalyses (e.g., Castro et al 2005;Jacob et al 2007;Sylla et al 2010). The use of nested LAMs or RCMs as a climate downscaling technique, indeed, involves a number of issues, one of which is related to the lateral boundary conditions (LBCs) (Giorgi and Mearns 1999;Denis et al 2002).…”

Section: Introductionmentioning

confidence: 99%

Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium

et al. 2013

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Daily summer precipitation over Belgium from the Aire Limitee Adaptation Dynamique Developpement International (ALADIN) model and a version of the model that has been updated with physical parameterizations, the so-called ALARO-0 model [ALADIN and AROME (Application de la Recherche a l'Operationnel a Meso-Echelle) combined model, first baseline version released in 1998], are compared with respect to station observations for the period 1961-90. The 40-yr European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-40) is dynamically downscaled using both models on a horizontal resolution of 40 km, followed by a one-way nesting on high spatial resolutions of 10 and 4 km. This setup allows us to explore the relative importance of spatial resolution versus parameterization formulation on the model skill to correctly simulate extreme daily precipitation. Model performances are assessed through standard statistical errors and density, frequency, and quantile distributions as well as extreme value analysis, using the peak-over-threshold method and generalized Pareto distribution. The 40-km simulations of ALADIN and ALARO-0 show similar results, both reproducing the observations reasonably well. For the high-resolution simulations, ALARO-0 at both 10 and 4 km is in better agreement with the observations than ALADIN. The ALADIN model consistently produces too high precipitation rates. The findings demonstrate that the new parameterizations within the ALARO-0 model are responsible for a correct simulation of extreme summer precipitation at various horizontal resolutions. Moreover, this study shows that ALARO-0 is a good candidate model for regional climate modeling.

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Multiyear simulation of the African climate using a regional climate model (RegCM3) with the high resolution ERA-interim reanalysis

Cited by 155 publications

References 53 publications

Simulation of the West African monsoon onset using the HadGEM3-RA regional climate model

Simulation of the West African monsoon onset using the HadGEM3-RA regional climate model

Simulation of the Indian summer monsoon onset-phase rainfall using a regional model

Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium

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