2012
DOI: 10.1007/s00704-012-0614-1
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Modeling the impacts of reforestation on future climate in West Africa

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Cited by 78 publications
(92 citation statements)
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References 29 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%
“…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%
“…Recently, modeling and observational studies indicate that the climate and the ecosystems across the world are significantly affected by land surface changes (Koster et al 2004;Alo and Wang 2010;Pitman et al 2009;De Noblet-Ducoudré et al 2012), and in particular the West African climate is very sensitive to such changes in surface conditions (Abiodun et al 2012;Hagos et al 2014;Nicholson 2015;Boone et al 2016;Xue et al 2016;Sylla et al 2016). For instance, observation based studies by Nicholson (2015) pointed out that land surface characteristics and processes have a significant impact on rainfall variability in Sahel region.…”
Section: Introductionmentioning
confidence: 99%
“…In the framework of the West African Monsoon Modelling and Evaluation phase 2 project (WAMME2; Xue et al 2016), Wang et al (2016) argued that land cover degradation of a reasonable magnitude and spatial extent could trigger a drought comparable to the observed one. Nogherotto et al (2013) found that deforestation over the Congo basin strengthens the WAM, thereby causing increased (decreased) precipitation over the Sahel (Gulf of Guinea), while Abiodun et al (2012) showed that the deforestation weakens the inland transport of moisture needed for West African precipitation. Furthermore, Diasso and Abiodun (2017) showed that reforestation decreases the magnitude of the warming trend over Savanna and reverses the predicted precipitation trend, resulting to an increase in precipitation by 0.8-1.2 mm/day.…”
Section: Introductionmentioning
confidence: 99%
“…The magnitude of temperature and precipitation biases in all the seasons was not horizontally homogeneous, but appeared to be more intense over areas with complex terrains (e.g., Guinean Highlands, Cameroon Mountains, and Jos plateau in Nigeria). Previous regional climate model simulations over West Africa reported similar biases [18,30,[60][61][62][63][64]. The model biases were associated with different factors, such as the absence of sufficient observing stations in the mountainous region, the influence of land/sea boundary conditions, physics configuration of the model, inherited biases from the driving global circulation models (GCMs), or the choice of cumulus convective parameterization [39,[65][66][67].…”
Section: Regcm4 Model Validationmentioning
confidence: 84%
“…The continental ITCZ is often referred to as the Inter-Tropical Discontinuity (ITD) [58], and its surface position was determined using the location of zero meridional wind. Similarly, AEJ and TEJ were located using the position of maximum westerly and zonal winds at 700 hPa and 200 hPa, respectively [18,58]. These three features of the West Africa monsoon contribute to the seasonal distribution and amount of rainfall over the region.…”
Section: Assessment Of Model Performancementioning
confidence: 99%