Present and future climatologies in the phase I CREMA experiment

Coppola, Erika; Giorgi, Filippo; Raffaele, Francesca; Fuentes‐Franco, Ramón; Giuliani, Graziano; Llopart, Marta; Mamgain, Ashu; Mariotti, Laura; Diro, G. T.; Torma, Csaba

doi:10.1007/s10584-014-1137-9

Cited by 56 publications

(50 citation statements)

References 24 publications

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“…The tendency of RegCM4 to produce lower temperatures over the northwestern Himalaya region is also reported in a few previous studies e.g., Syed et al [6] and Coppola et al [58]. The causes are still not entirely clear, though they are likely related to the treatment of cloud radiative process [72].…”

Section: Evaluation Of Model Performance For Reference Periodsupporting

confidence: 70%

“…The spatial variability in the temperature bias as simulated by RegCM4 is, most of the time, smaller than that of GFDL-ESM2M. It is worth noting that the large-scale uncertainties are present between the station-based dataset and observed satellite dataset, especially over the high mountain areas, which should be considered in an evaluation of the climate model assessment [58]. The spatial distribution of SASM mean precipitation from CRU, APHRODITE and the models' biases with respect to observations are displayed in Figure 3a-f. Spatial patterns of SASM precipitation are different in CRU and APHRODITE over some parts of the domain.…”

Section: Evaluation Of Model Performance For Reference Periodmentioning

confidence: 95%

“…To provide the initial and time-dependent lateral boundary conditions for RegCM4, we used geophysical fluid dynamics laboratory global circulation model (GFDL-ESM2M) of CMIP5 with approximately 2 degrees horizontal resolution. Note that the selection of GFDL-ESM2M is made on the basis of Coppola et al [58] phase I CORDEX REgCM hyper-Matrix (CREMA) experiments. Two sets of RCP experiments are also conducted for far future climate projection (2070-2099), one for the moderate level of the GHG scenario (RCP4.5) and the second for the strongest level of the GHG scenario (RCP8.5).…”

Section: Experimental Design and Model Datamentioning

confidence: 99%

“…In spite of improvements, the systematic biases are still present in the RegCM4 simulation. This indicates that in order to identify the added value of the regional climate model, higher order statistics need to be analyzed [58,75,76]. In order to assess the added, here we present an example of added value by analyzing the probability distribution function (PDF) of the seasonal summer precipitation anomalies.…”

Section: Evaluation Of Model Performance For Reference Periodmentioning

confidence: 99%

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An Assessment of the South Asian Summer Monsoon Variability for Present and Future Climatologies Using a High Resolution Regional Climate Model (RegCM4.3) under the AR5 Scenarios

Hassan

Jia

et al. 2015

Atmosphere

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Abstract:We assessed the present and future climatologies of mean summer monsoon over South Asia using a high resolution regional climate model (RegCM4) with a 25 km horizontal resolution. In order to evaluate the performance of the RegCM4 for the reference period and for the far future (2070-2099), climate change projections under two greenhouse gas representative concentration pathways (RCP4.5 and RCP8.5) were made, the lateral boundary conditions being provided by the geophysical fluid dynamic laboratory global model (GFDL-ESM2M). The regional climate model (RCM) improves the simulation of seasonal mean temperature and precipitation patterns compared to driving global climate model (GCM) during present-day climate conditions. The regional characteristic features of South Asian summer monsoon (SASM), like the low level jet stream and westerly flow over the northern the Arabian Sea, are well captured by the RegCM4. In spite of some discrepancies, the RegCM4 could simulate the Tibetan show increased warming compared to RegCM4. The projected patterns at the end of 21st century shows an increase in precipitation over the Indian Peninsula and the Western Ghats. The possibilities of excessive precipitation include increased southwesterly flow in the wet period and the effect of model bias on climate change. However, the spatial patterns of precipitation are decreased in intensity and magnitude as the monsoon approaches the foothills of the Himalayas. The RegCM4-projected dry conditions over northeastern India are possibly related to the anomalous anticyclonic circulations in both scenarios.

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Section: Evaluation Of Model Performance For Reference Periodsupporting

confidence: 70%

Section: Evaluation Of Model Performance For Reference Periodmentioning

confidence: 95%

Section: Experimental Design and Model Datamentioning

confidence: 99%

Section: Evaluation Of Model Performance For Reference Periodmentioning

confidence: 99%

See 2 more Smart Citations

An Assessment of the South Asian Summer Monsoon Variability for Present and Future Climatologies Using a High Resolution Regional Climate Model (RegCM4.3) under the AR5 Scenarios

Hassan

Jia

et al. 2015

Atmosphere

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“…Convective rainfall patterns of the model are calculated by choosing one of the three schemes; modified-Kuo scheme [66,67], Grell scheme [68], and the MIT-Emanuel scheme [69,70]. This regional climate model system has been effectively applied to several domains, i.e., Europe, Central Asia, East Asia, South Asia, the Mediterranean, Africa, South America, North America, Central America, the Middle East, in various climate change studies [71][72][73][74][75][76][77][78] for the two decades.…”

Section: Methodsmentioning

confidence: 99%

Impact of Climate Change on Natural Snow Reliability, Snowmaking Capacities, and Wind Conditions of Ski Resorts in Northeast Turkey: A Dynamical Downscaling Approach

et al. 2016

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Many ski resorts worldwide are going through deteriorating snow cover conditions due to anthropogenic warming trends. As the natural and the artificially supported, i.e., technical, snow reliability of ski resorts diminish, the industry approaches a deadlock. For this reason, impact assessment studies have become vital for understanding vulnerability of ski tourism. This study considers three resorts at one of the rapidly emerging ski destinations, Northeast Turkey, for snow reliability analyses. Initially one global circulation model is dynamically downscaled by using the regional climate model RegCM4.4 for 1971-2000 and 2021-2050 periods along the RCP4.5 greenhouse gas concentration pathway. Next, the projected climate outputs are converted into indicators of natural snow reliability, snowmaking capacity, and wind conditions. The results show an overall decline in the frequencies of naturally snow reliable days and snowmaking capacities between the two periods. Despite the decrease, only the lower altitudes of one ski resort would face the risk of losing natural snow reliability and snowmaking could still compensate for forming the base layer before the critical New Year's week. On the other hand, adverse high wind conditions improve as to reduce the number of lift closure days at all resorts. Overall, this particular region seems to be relatively resilient against climate change.

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Role of clouds and land-atmosphere coupling in midlatitude continental summer warm biases and climate change amplification in CMIP5 simulations

Chéruy

Dufresne

Hourdin

et al. 2014

Geophys. Res. Lett.

102

121

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International audienceOver land, most state-of-the-art climate models contributing to Coupled Model Intercomparison Project Phase 5 (CMIP5) share a strong summertime warm bias in midlatitude areas, especially in regions where the coupling between soil moisture and atmosphere is effective. The most biased models overestimate solar incoming radiation, because of cloud deficit and have difficulty to sustain evaporation. These deficiencies are also involved in the spread of the summer temperature projections among models in the midlatitude; the models which simulate a higher-than-average warming overestimate the present climate net shortwave radiation which increases more-than-average in the future, in link with a decrease of cloudiness. They also show a higher-than-average reduction of evaporative fraction in areas with soil moisture-limited evaporation regimes. Over these areas, the most biased models in the present climate simulate a larger warming in response to climate change which is likely to be overestimated

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Present and future climatologies in the phase I CREMA experiment

Cited by 56 publications

References 24 publications

An Assessment of the South Asian Summer Monsoon Variability for Present and Future Climatologies Using a High Resolution Regional Climate Model (RegCM4.3) under the AR5 Scenarios

An Assessment of the South Asian Summer Monsoon Variability for Present and Future Climatologies Using a High Resolution Regional Climate Model (RegCM4.3) under the AR5 Scenarios

Impact of Climate Change on Natural Snow Reliability, Snowmaking Capacities, and Wind Conditions of Ski Resorts in Northeast Turkey: A Dynamical Downscaling Approach

Role of clouds and land-atmosphere coupling in midlatitude continental summer warm biases and climate change amplification in CMIP5 simulations

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