scholarly journals Final Report for Collaborative Project: Sensitivity of Atmospheric Parametric Formulations to Regional Mesh Refinement in Global Climate Simulations Using CESM-HOMME

2015 ◽  
Author(s):  
Richard B. Neale
Keyword(s):  
Global Climate ◽  
Mesh Refinement ◽  
Final Report ◽  
Collaborative Project ◽  
Climate Simulations

scholarly journals The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of Earth surface variables and fluxes

2012 ◽  
Vol 5 (4) ◽  
pp. 3771-3851 ◽  
Author(s):  
V. Masson ◽  
P. Le Moigne ◽  
E. Martin ◽  
S. Faroux ◽  
A. Alias ◽  
...  
Keyword(s):  
Global Climate ◽  
Weather Prediction ◽  
Chemical Species ◽  
Ocean Surface ◽  
Atmospheric Model ◽  
Surface Fluxes ◽  
Scientific Models ◽  
Climate Simulations ◽  
Surface Models ◽  
Coupling Strategy

Abstract. SURFEX is a new externalized land and ocean surface platform that describes the surface fluxes and the evolution of four types of surface: nature, town, inland water and ocean. It can be run either coupled or in offline mode. It is mostly based on pre-existing, well validated scientific models. It can be used in offline mode (from point scale to global runs) or fully coupled with an atmospheric model. SURFEX is able to simulate fluxes of carbon dioxide, chemical species, continental aerosols, sea salt and snow particles. It also includes a data assimilation module. The main principles of the organization of the surface are described first. Then, a survey is made of the scientific module (including the coupling strategy). Finally the main applications of the code are summarized. The current applications are extremely diverse, ranging from surface monitoring and hydrology to numerical weather prediction and global climate simulations. The validation work undertaken shows that replacing the pre-existing surface models by SURFEX in these applications is usually associated with improved skill, as the numerous scientific developments contained in this community code are used to good advantage.

scholarly journals Simulating 195 Million Years of Global Climate in the Mesozoic

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Jack Lee
Keyword(s):  
Global Climate ◽  
Greenhouse Climate ◽  
Climate Simulations ◽  
Long Term Trends

An ensemble of climate simulations identifies factors that drove long-term trends of a prehistoric greenhouse climate.

scholarly journals Contrasting regional and global climate simulations over South Asia

2020 ◽  
Vol 54 (5-6) ◽  
pp. 2883-2901 ◽  
Author(s):  
Arun Rana ◽  
Grigory Nikulin ◽  
Erik Kjellström ◽  
Gustav Strandberg ◽  
Marco Kupiainen ◽  
...  
Keyword(s):  
South Asia ◽  
Global Climate ◽  
Climate Simulations

scholarly journals A statistics-based reconstruction of high-resolution global terrestrial climate for the last 800,000 years

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mario Krapp ◽  
Robert M. Beyer ◽  
Stephen L. Edmundson ◽  
Paul J. Valdes ◽  
Andrea Manica
Keyword(s):  
Net Primary Productivity ◽  
Climate Model ◽  
Global Climate ◽  
Computational Cost ◽  
Climate Data ◽  
Land Type ◽  
Research Areas ◽  
Climate Simulations ◽  
Bioclimatic Variables

AbstractCurated global climate data have been generated from climate model outputs for the last 120,000 years, whereas reconstructions going back even further have been lacking due to the high computational cost of climate simulations. Here, we present a statistically-derived global terrestrial climate dataset for every 1,000 years of the last 800,000 years. It is based on a set of linear regressions between 72 existing HadCM3 climate simulations of the last 120,000 years and external forcings consisting of CO2, orbital parameters, and land type. The estimated climatologies were interpolated to 0.5° resolution and bias-corrected using present-day climate. The data compare well with the original HadCM3 simulations and with long-term proxy records. Our dataset includes monthly temperature, precipitation, cloud cover, and 17 bioclimatic variables. In addition, we derived net primary productivity and global biome distributions using the BIOME4 vegetation model. The data are a relevant source for different research areas, such as archaeology or ecology, to study the long-term effect of glacial-interglacial climate cycles for periods beyond the last 120,000 years.

scholarly journals Late Paleogene emergence of a North American loess plateau

Geology ◽  
2020 ◽  
Vol 48 (3) ◽  
pp. 273-277 ◽  
Author(s):  
Majie Fan ◽  
Ran Feng ◽  
John W. Geissman ◽  
Christopher J. Poulsen
Keyword(s):  
Great Plains ◽  
North American ◽  
Global Climate ◽  
North American Monsoon ◽  
Spatiotemporal Pattern ◽  
The North ◽  
Data Compilation ◽  
Climate Simulations ◽  
Central Rocky Mountains ◽  
Latest Eocene

Abstract The relative roles of tectonics and global climate in forming the hydroclimate for widespread eolian deposition remain controversial. Oligocene loess has been previously documented in the interior of western United States, but its spatiotemporal pattern and causes remain undetermined. Through new stratigraphic record documentation and data compilation, we reveal the time transgressive occurrence of loess beginning in the latest Eocene in the central Rocky Mountains, that expands eastward to the Great Plains across the Eocene-Oligocene transition (EOT). Our climate simulations show that moderate uplift of the southern North America Cordillera initiated drying in the Cordilleran hinterland and immediate foreland, forming a potential dust source and sink, and global cooling at the EOT expanded the drying and eolian deposition eastward by causing retreat of the North American Monsoon. Therefore, the eolian deposition reflects continental aridification induced both by regional tectonism and global climate change during the late Paleogene.

scholarly journals 20-km-Mesh Global Climate Simulations Using JMA-GSM Model—Mean Climate States—

2006 ◽  
Vol 84 (1) ◽  
pp. 165-185 ◽  
Author(s):  
Ryo MIZUTA ◽  
Kazuyoshi OOUCHI ◽  
Hiromasa YOSHIMURA ◽  
Akira NODA ◽  
Keiichi KATAYAMA ◽  
...  
Keyword(s):  
Global Climate ◽  
Climate Simulations ◽  
Mean Climate

Northern Hemisphere atmospheric blocking simulation in present and future climate

2020 ◽  
Author(s):  
Fabio D'Andrea ◽  
Paolo Davini
Keyword(s):  
Climate Models ◽  
Global Climate ◽  
Future Climate ◽  
Historical Period ◽  
Western North America ◽  
Atmospheric Blocking ◽  
The Urals ◽  
Climate Simulations ◽  
European Sector ◽  
Global Mean

<p>We present a comprehensive analysis of the representation of winter and summer Northern Hempishere atmospheric blocking in global climate simulations in both present and future climate. Three generations of climate models are considered: CMIP-3 (2007), CMIP-5 (2012) and CMIP-6 (2019).<br>All models show common and extended underestimation of blocking frequencies, but a reduction of the negative biases in successive model generations is observed. However, in some specific regions and seasons as the winter European sector, even CMIP-6 models are not yet able to achieve the observed blocking frequency. For future decades the vast majority of models simulates a decrease of blocking frequency in both winter and summer, with the exception of summer blocking over the Urals and winter blocking over Western North America. Winter predicted decreases may be even larger than currently estimated considering that models with larger blocking frequencies  hence generally smaller errors - show larger reduction. Nonetheless trends computed over the historical period are weak and often contrasts with observations: this is particularly worrisome for summer Greenland blocking where models and observation significantly disagree. Finally, the intensity of global warming is related to blocking changes: wintertime European blocking is expected to decrease following larger global mean temperatures, while Western Russia summer blocking is expected to increase.</p>

scholarly journals Unraveling the martian water cycle with high-resolution global climate simulations

Icarus ◽  
2017 ◽  
Vol 291 ◽  
pp. 82-106 ◽  
Author(s):  
Alizée Pottier ◽  
François Forget ◽  
Franck Montmessin ◽  
Thomas Navarro ◽  
Aymeric Spiga ◽  
...  
Keyword(s):  
High Resolution ◽  
Water Cycle ◽  
Global Climate ◽  
Climate Simulations
Sign in / Sign up

Export Citation Format

Share Document