scholarly journals Response of Karakoram‐Himalayan glaciers to climate variability and climatic change: A regional climate model assessment

2015 ◽  
Vol 42 (6) ◽  
pp. 1818-1825 ◽  
Author(s):  
Pankaj Kumar ◽  
Sven Kotlarski ◽  
Christopher Moseley ◽  
Kevin Sieck ◽  
Holger Frey ◽  
...  
Keyword(s):  
Climate Variability ◽  
Regional Climate Model ◽  
Climatic Change ◽  
Climate Model ◽  
Regional Climate ◽  
Model Assessment ◽  
Himalayan Glaciers

scholarly journals Projection of Climatic Change over Japan Due to Global Warming by High-Resolution Regional Climate Model in MRI

SOLA ◽  
2005 ◽  
Vol 1 (0) ◽  
pp. 97-100 ◽  
Author(s):  
Kazuo Kurihara ◽  
Koji Ishihara ◽  
Hidetaka Sasaki ◽  
Yukio Fukuyama ◽  
Hitomi Saitou ◽  
...  
Keyword(s):  
Global Warming ◽  
High Resolution ◽  
Regional Climate Model ◽  
Climatic Change ◽  
Climate Model ◽  
Regional Climate

Impact of anthropogenic aerosols on climate variability over Central Africa by using a regional climate model

2016 ◽  
Vol 37 (1) ◽  
pp. 249-267 ◽  
Author(s):  
A. J. Komkoua Mbienda ◽  
C. Tchawoua ◽  
D. A. Vondou ◽  
P. Choumbou ◽  
C. Kenfack Sadem ◽  
...  
Keyword(s):  
Climate Variability ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Central Africa ◽  
Anthropogenic Aerosols

scholarly journals Climatic Change Projection for the Ocean around Japan using a High-Resolution Coupled Atmosphere-Ocean Regional Climate Model

SOLA ◽  
2005 ◽  
Vol 1 ◽  
pp. 101-104 ◽  
Author(s):  
Kazuyo Murazaki ◽  
Hidetaka Sasaki ◽  
Hiroyuki Tsujino ◽  
Izuru Takayabu ◽  
Yasuo Sato ◽  
...  
Keyword(s):  
High Resolution ◽  
Regional Climate Model ◽  
Climatic Change ◽  
Climate Model ◽  
Regional Climate

scholarly journals Regional climate model assessment of the urban land-surface forcing over central Europe

2014 ◽  
Vol 14 (12) ◽  
pp. 18541-18589 ◽  
Author(s):  
P. Huszar ◽  
T. Halenka ◽  
M. Belda ◽  
M. Zak ◽  
K. Sindelarova ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Regional Climate Model ◽  
Central Europe ◽  
Climate Model ◽  
Regional Climate ◽  
Urban Canopy ◽  
Anthropogenic Heat ◽  
Model Assessment ◽  
Layer Height ◽  
Boundary Layer Height

Abstract. For the purpose of qualifying and quantifying the climate impact of cities and urban surfaces in general on climate of central Europe, the surface parameterization in regional climate model RegCM4 has been extended with the Single Layer Urban Canopy Model (SLUCM). A set of experiments was performed over the period of 2005–2009 for central Europe, either without considering urban surfaces or with the SLUCM treatment. Results show a statistically significant impact of urbanized surfaces on temperature (up to 1.5 K increase in summer) as well as on the boundary layer height (increases up to 50 m). Urbanization further influences surface wind with a winter decrease up to −0.6 m s−1, though both increases and decreases were detected in summer depending on the location relative to the cities and daytime (changes up to 0.3 m s−1). Urban surfaces significantly reduce evaporation and thus the humidity over the surface. This impacts the simulated summer precipitation rate, showing decrease over cities up to −2 mm day−1. Significant temperature increases are simulated over higher elevations as well, not only within the urban canopy layer. With the urban parameterization, the climate model better describes the diurnal temperature variation, reducing the cold afternoon and evening bias of RegCM4. Sensitivity experiments were carried out to quantify the response of the meteorological conditions to changes in the parameters specific to the urban environment such as street width, building height, albedo of the roofs and anthropogenic heat release. The results proved to be rather robust and the choice of the key SLUCM parameters impacts them only slightly (mainly temperature, boundary layer height and wind velocity). Statistically significant impacts are modeled not only over large urbanized areas, but the influence of the cities is also evident over rural areas without major urban surfaces. It is shown that this is the result of the combined effect of the distant influence of the cities and the influence of the minor local urban surface coverage.

Downscaling large-scale climate variability using a regional climate model: the case of ENSO over Southern Africa

2012 ◽  
Vol 40 (5-6) ◽  
pp. 1141-1168 ◽  
Author(s):  
Damien Boulard ◽  
Benjamin Pohl ◽  
Julien Crétat ◽  
Nicolas Vigaud ◽  
Thanh Pham-Xuan
Keyword(s):  
Climate Variability ◽  
Regional Climate Model ◽  
Southern Africa ◽  
Large Scale ◽  
Climate Model ◽  
Regional Climate

Regional paleoclimate in the EMME and the Nile basin based on COSMO-CLM with orbital and volcanic forcing at the different spatial resolution

2021 ◽  
Author(s):  
Mingyue Zhang ◽  
Eva Hartmann ◽  
Elena Xoplaki ◽  
Sebastian Wagner
Keyword(s):  
Climate Variability ◽  
Regional Climate Model ◽  
Observational Data ◽  
River Basin ◽  
Spatial Resolution ◽  
Climate Model ◽  
Regional Climate ◽  
Nile River ◽  
Model Simulations ◽  
Volcanic Forcing

<p>The interaction between climate variability, extreme events and societies in the Eastern Mediterranean and the Middle East (EMME) and the Nile river basin is of particular interest in the last 2000 years. Major civilizations and complex pre-modern societies have written the greatest and multifaceted history of the area. However, the influence of climate on the societies is examined only from the proxy records perspective, without the detail of the processes that offer regional climate model simulations. The present and future climate and climate variability of this region are currently studied in the frame of the MENA CORDEX program with different global and regional climate models. For the past climate, exist only global climate or earth system model simulations with a coarse spatial resolution with a minimum of 100 km horizontal resolution. We aim at improving our understanding of past climate in the EMME and the Nile river basin (Nile) at the regional scale and use an adjusted paleoclimate version of the COSMO-CLM. Test simulations have been performed over the study region for the years 2017-2018 to identify the best settings of CCLM with respect to the CORDEX-MENA simulations which are carried out by Bucchignani et al. (2016). Test simulations show the CCLM can correctly simulate large tropical volcanic eruptions, as conditions similar to the Tambora eruption by adapting the stratospheric aerosol optical depth (AOD) mimicking conditions after a Tambora-like volcanic eruption. In agreement with Bucchignani et al. (2016), the albedo and aerosols parameters are found to be most important for the area and may be responsible for larger deviations compared to observational data.  Thus, CCLM climate modelling for the present (1979-2019) and selected paleo-periods (525-575 CE and 1220-1290 CE) with intense volcanic activity will be forced by the MPI-ESM-LR ‘past2k’ simulation with the optimized settings which is identified in the test simulations. Orbital, solar and volcanic forcing, together with vegetation, land-use changes and greenhouse gas changes will be addressed step by step in the CCLM with resolutions of 0.44° and 0.11°.  The present-day simulations show that the temperature and precipitation are well simulated compare to reanalysis and observational data in general. Additional, CCLM correctly captured convection and cloud cover clearly define the model performance in the greater southern areas of the domain that are affected by the tropical convection. Further, the orography and the land-sea interaction seem to significantly influence the local climate and may lead to differences compared to observations, which may also be strongly connected with the specific spatial resolution. For example, the Ethiopian Highlands and the East African Plateau have high elevations and have a large impact on the regional climate.</p><p> <strong>Reference</strong></p><p>Bucchignani, E., Cattaneo, L., Panitz, HJ. et al. Sensitivity analysis with the regional climate model COSMO-CLM over the CORDEX-MENA domain. Meteorol Atmos Phys <strong>128, </strong>73–95 (2016). https://doi.org/10.1007/s00703-015-0403-3</p>

scholarly journals Regional climate model assessment using statistical upscaling and downscaling techniques

2012 ◽  
Vol 23 (5) ◽  
pp. 482-492 ◽  
Author(s):  
Veronica J. Berrocal ◽  
Peter F. Craigmile ◽  
Peter Guttorp
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Model Assessment
Sign in / Sign up

Export Citation Format

Share Document