The performance of the regional climate model CLM in different climate regions, based on the example of precipitation

Rockel, Burkhardt; Geyer, Beate

doi:10.1127/0941-2948/2008/0297

Cited by 104 publications

(78 citation statements)

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“…COSMO-CLM model has been validated within several projects such as PRUDENCE Rockel and Geyer, 2008], and its response has been found to be in the same range of accuracy as other RCMs, resolving similar scales.…”

Section: 1002/2013jd021105mentioning

confidence: 99%

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Montesarchio

Zollo

Bucchignani

et al. 2014

J. Geophys. Res. Atmos.

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This study aimed to assess the capabilities of high-resolution simulations in reproducing the main features of the climate in the complex topography region of the Alps for the period 1971-2000. This is to provide a reliable tool for impact studies on local scale. Two simulations, driven by ERA-40 Reanalysis, have been carried out, respectively, at spatial resolutions of 0.125°and 0.0715°with the regional climate model COSMO-CLM. The model response has been analyzed in terms of 2 m temperature and precipitation, and comparisons with available observations have been carried out. A number of climate indices have also been analyzed, widely adopted to monitor changes in extreme climate events. Finally, the effects of increasing spatial resolution have also been investigated. The model at high spatial resolution (0.0715°) provides a satisfactory representation of temperature. The simulated precipitation patterns are also improved due to the high model resolution that allows reproducing localized precipitation phenomena with a medium-high error, especially where summer thunderstorms over the complex topography of the Alpine region occurs.

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Section: 1002/2013jd021105mentioning

confidence: 99%

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Montesarchio

Zollo

Bucchignani

et al. 2014

J. Geophys. Res. Atmos.

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“…These changes may be associated with the differences in the identified biases from the two dynamic vegetation simulations. PRESd2 introduced the highest magnitude of cold biases among the three historical climate simulations over most parts of West Africa, but PRES and PRESd1 underestimated temperature along the coast, orographic region, and north of 18° N. with [39,[65][66][67]. RegCM4 The model reproduced reasonably well the amplitude of the seasonal variations of temperature and precipitation over West Africa in all seasons with a strong correlation, which ranged from 0.5 to 0.9 (Figures 8 and 9).…”

Section: Regcm4 Model Validationmentioning

confidence: 60%

“…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: 74%

Simulating the Impacts of Tree, C3, and C4 Plant Functional Types on the Future Climate of West Africa

Olusegun

Oguntunde

Gbobaniyi

2018

Climate

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This study investigates the future climatic impacts of different percentages of trees/shrubs, C4 and C3 plant functional types (PFTs) over the West Africa region. The ratio of co-existence among the different PFTs was done as a representation of agri-silviculture practices over the region. Nine sensitivity experiments of different percentages of trees/shrubs, and C4 and C3 PFTs were carried out with a regional climate model (RegCM4) driven by Global Climate Model (HADGEM2-ES) outputs. These experiments were carried out along the Guinea Savana zone of West Africa using both prescribed and dynamic vegetation options of the model. The model simulated the seasonal evolution of precipitation and temperature fields quite well, with correlations greater than 0.8, but exhibited cold and wet biases of about 1-2 • C and 1-4 mm/day, respectively. Widespread warming (1-3 • C) and drying (1-2 mm/day) is projected in the near future across most parts of West Africa all year round. The West African future climate change associated with the different percentages of trees/shrubs, and C4 and C3 PFTs varied with the vegetation state (prescribed or dynamic) and model domain sizes. The prescribed vegetation experiments induced cooling of about 0.5-2 • C in most areas along the designated agri-silviculture zone, except Liberia and Sierra Leone. Similarly, enhanced precipitation occurred over most parts of Ghana and coastal parts of Nigeria (0.5-3 mm/day). On the other hand, the dynamic vegetation option did not exhibit pronounced changes in temperature and precipitation, except with a larger domain size. This study suggests the implementation of agri-silviculture as a mitigation and adaptation land-use practice across West Africa if drought-tolerant crops and the deciduous trees are adopted.

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“…Climate change impact has been assessed by means of a simulation provided by the COSMO-Climate Limited-area Modeling (CCLM) [27] Regional Climate Model (RCM) using the Representative Concentration Pathway (RCP) 4.5 [28] in the context of the EURO-CORDEX initiative (www.euro-cordex.net; a detailed description of the initiative can be found in [29]). The CCLM model performed dynamic downscaling of the MPI-ESM-LR (Max Planck Institute Earth System Model at base resolution) General Circulation Model (GCM) and was applied at a resolution of 0.11 • (approximately 12.5 km) both during the control period and the future scenario .…”

Section: Methodsmentioning

confidence: 99%

Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

Maiolo

Mendicino

Pantusa

et al. 2017

Water

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Abstract:Proper water resources management involves the analysis and resolution of various optimization problems according to climate change effects on the availability and distribution of the resources themselves. Specifically, these conditions require the identification of new resource allocation optimization solutions capable of taking into account the water resource losses due to climate change scenarios. As is well known, Southern Italy is a region that is potentially very sensitive to climate change. In this paper, a 1717 km 2 area, corresponding to the province of Crotone, was analyzed as a study case. This area is characterized by a sufficient availability of resources as a whole as compared to the needs of the users, but has an unbalanced distribution of water through its various systems. After identifying water resource allocations in detail for this area, an optimization solution accounting for the expected reduced availability of water resources in the context of climate change was created and was compared with the optimization solution for current water availability.

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The performance of the regional climate model CLM in different climate regions, based on the example of precipitation

Cited by 104 publications

References 0 publications

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Simulating the Impacts of Tree, C3, and C4 Plant Functional Types on the Future Climate of West Africa

Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

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