2017
DOI: 10.1007/s00382-017-3952-y
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Evaluation of GCMs historical simulations of monthly and seasonal climatology over Bolivia

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Cited by 8 publications
(9 citation statements)
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“…Despite the model's ability to capture the large-scale patterns of observed precipitation, there are biases in the precipitation amount. The simulations overestimate the precipitation over the Andes, which could be related to the model's inability to resolve topography; consistent with most models (Abadi et al 2017). The percentage of precipitation bias over the State of São Paulo and at the continental scale at both the annual and seasonal timescales is presented in Table 1.…”
Section: Climatology Of Precipitation: Spatial and Temporal Distributionssupporting
confidence: 72%
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“…Despite the model's ability to capture the large-scale patterns of observed precipitation, there are biases in the precipitation amount. The simulations overestimate the precipitation over the Andes, which could be related to the model's inability to resolve topography; consistent with most models (Abadi et al 2017). The percentage of precipitation bias over the State of São Paulo and at the continental scale at both the annual and seasonal timescales is presented in Table 1.…”
Section: Climatology Of Precipitation: Spatial and Temporal Distributionssupporting
confidence: 72%
“…Taken together, changes in VIMFC are dominated by changes in convergence with a contribution from the advection term confirming that reduced moisture convergence is the main driver of droughts, while changes in the advection term act to advect moisture away from SSP during the period of study. Abadi et al (2017) stated that strong moisture divergence represents regions with evaporation higher than precipitation; that is atmospheric moisture sources. The coincidence of the reduced VIMFC position with the region of reduced precipitation as indicated in Fig.…”
Section: Atmospheric Moisture Contentmentioning
confidence: 99%
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“…GCMs have become an important tool for producing spatially and temporally continuous long-term global products of energy balance components. Many studies have investigated the performance of SSR simulations from the GCMs at both global and regional scales [7][8][9][10][11]. For instance, Ma et al [9] found that the biases of the global average SSR simulations varied from 4.8 W m −2 to 11.9 W m −2 among the 48 fifth phase of Coupled Model Intercomparison Project (CMIP5) models compared to the ground observations from 446 stations during 2000-2005.…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies have highlighted the importance of the anticyclonic circulation to the South American monsoon system (e.g.,Ramírez al. 1999;Garreaud et al 2003;Ferreira et al 2004;Marengo et al 2012;Insel et al, 2013;Abadi et al 2017). These studies indicated that during DJF, the monsoon system is characterized by a well-established upper-level anticyclonic circulation over Bolivia (the Bolivian High; BH) in conjunction with a semi-permanent low pressure system (the Chaco thermal Low) over northern Argentina, strong lower-tropospheric convergence, and upper-level divergence.…”
mentioning
confidence: 99%