scholarly journals Added value of regional climate modeling over areas characterized by complex terrain-Precipitation over the Alps

2015 ◽  
Vol 120 (9) ◽  
pp. 3957-3972 ◽  
Author(s):  
Csaba Torma ◽  
Filippo Giorgi ◽  
Erika Coppola
Keyword(s):  
Complex Terrain ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Added Value ◽  
The Alps

scholarly journals Investigating added value of regional climate modeling in North American winter storm track simulations

2017 ◽  
Vol 50 (5-6) ◽  
pp. 1799-1818 ◽  
Author(s):  
E. D. Poan ◽  
P. Gachon ◽  
R. Laprise ◽  
R. Aider ◽  
G. Dueymes
Keyword(s):  
North American ◽  
Climate Modeling ◽  
Regional Climate ◽  
Storm Track ◽  
Regional Climate Modeling ◽  
Added Value ◽  
Winter Storm

scholarly journals Crossing Multiple Gray Zones in the Transition from Mesoscale to Microscale Simulation over Complex Terrain

Atmosphere ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 274 ◽  
Author(s):  
Fotini Chow ◽  
Christoph Schär ◽  
Nikolina Ban ◽  
Katherine Lundquist ◽  
Linda Schlemmer ◽  
...  
Keyword(s):  
Complex Terrain ◽  
Large Scale ◽  
Climate Modeling ◽  
Numerical Models ◽  
Weather Prediction ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Small Scale ◽  
Gray Zone ◽  
Definition Of

This review paper explores the field of mesoscale to microscale modeling over complex terrain as it traverses multiple so-called gray zones. In an attempt to bridge the gap between previous large-scale and small-scale modeling efforts, atmospheric simulations are being run at an unprecedented range of resolutions. The gray zone is the range of grid resolutions where particular features are neither subgrid nor fully resolved, but rather are partially resolved. The definition of a gray zone depends strongly on the feature being represented and its relationship to the model resolution. This paper explores three gray zones relevant to simulations over complex terrain: turbulence, convection, and topography. Taken together, these may be referred to as the gray continuum. The focus is on horizontal grid resolutions from ∼10 km to ∼10 m. In each case, the challenges are presented together with recent progress in the literature. A common theme is to address cross-scale interaction and scale-awareness in parameterization schemes. How numerical models are designed to cross these gray zones is critical to complex terrain applications in numerical weather prediction, wind resource forecasting, and regional climate modeling, among others.

Impact of resolution on regional climate modeling in the source region of Yellow River with complex terrain using RegCM3

2015 ◽  
Vol 125 (1-2) ◽  
pp. 365-380 ◽  
Author(s):  
Pinhong Hui ◽  
Jianping Tang ◽  
Shuyu Wang ◽  
Jian Wu ◽  
Xiaorui Niu ◽  
...  
Keyword(s):  
Complex Terrain ◽  
Yellow River ◽  
Climate Modeling ◽  
Regional Climate ◽  
Source Region ◽  
Regional Climate Modeling

scholarly journals Urban Climates and Climate Change

2020 ◽  
Vol 45 (1) ◽  
pp. 411-444 ◽  
Author(s):  
Valéry Masson ◽  
Aude Lemonsu ◽  
Julia Hidalgo ◽  
James Voogt
Keyword(s):  
Climate Change ◽  
Climate Modeling ◽  
Regional Climate ◽  
Urban Climate ◽  
Regional Climate Modeling ◽  
Climate Impact ◽  
Local Climate ◽  
Urban Climatology ◽  
Recent Developments ◽  
Global Agenda

Cities are particularly vulnerable to extreme weather episodes, which are expected to increase with climate change. Cities also influence their own local climate, for example, through the relative warming known as the urban heat island (UHI) effect. This review discusses urban climate features (even in complex terrain) and processes. We then present state-of-the-art methodologies on the generalization of a common urban neighborhood classification for UHI studies, as well as recent developments in observation systems and crowdsourcing approaches. We discuss new modeling paradigms pertinent to climate impact studies, with a focus on building energetics and urban vegetation. In combination with regional climate modeling, new methods benefit the variety of climate scenarios and models to provide pertinent information at urban scale. Finally, this article presents how recent research in urban climatology contributes to the global agenda on cities and climate change.

The state of the art and fundamental aspects of regional climate modeling in South America

2018 ◽  
Vol 1436 (1) ◽  
pp. 98-120 ◽  
Author(s):  
Tércio Ambrizzi ◽  
Michelle Simões Reboita ◽  
Rosmeri Porfírio da Rocha ◽  
Marta Llopart
Keyword(s):  
South America ◽  
State Of The Art ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
The State

Generating long-term high-resolution land-use change datasets for regional climate modeling in CORDEX domains

2021 ◽  
Author(s):  
Peter Hoffmann ◽  
Diana Rechid ◽  
Vanessa Reinhart ◽  
Christina Asmus ◽  
Edouard L. Davin ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Use Change ◽  
Land Cover ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Local Scale ◽  
Modeling Studies

<p>Land-use and land cover (LULC) are continuously changing due to environmental changes and anthropogenic activities. Many observational and modeling studies show that LULC changes are important drivers altering land surface feedbacks and land-atmosphere exchange processes that have substantial impact on climate on the regional and local scale. Yet, most long-term regional climate modeling studies do not account for these changes. Therefore, within the WCRP CORDEX Flagship Pilot Study LUCAS (Land Use Change Across Scales) a new workflow was developed to generate high-resolution annual land cover change time series based on past reconstructions and future projections. First, the high-resolution global land cover dataset ESA-CCI LC (~300 m resolution) is aggregated and converted to a 0.1° resolution, fractional plant functional type (PFT) dataset. Second, the land use change information from the land-use harmonized dataset (LUH2), provided at 0.25° resolution as input for CMIP6 experiments, is translated into PFT changes employing a newly developed land use translator (LUT). The new LUT was first applied to the EURO-CORDEX domain. The resulting LULC maps for past and future - the LUCAS LUC dataset - can be applied as land use forcing to the next generation RCM simulations for downscaling CMIP6 by the EURO-CORDEX community and in the framework of FPS LUCAS. The dataset includes land cover and land management practices changes important for the regional and local scale such as urbanization and irrigation. The LUCAS LUC workflow is applied to further CORDEX domains, such as Australasia and North America. The resulting past and future land cover changes will be presented, and challenges regarding the application of the new workflow to different regions will be addressed. In addition, issues related to the implementation of the dataset into different RCMs will be discussed.</p>

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