Back to the Field: The Limits of Standard Scales in High-Resolution Stratigraphy. Examples from Northwest Africa and the Middle East

Author(s):  
Luc Bulot ◽  
Jonathan Redfern ◽  
Tim Luber ◽  
Mike Simmons ◽  
Jason Jeremiah
2017 ◽  
Author(s):  
Adnan Al-Shamali ◽  
P. K. Mishra ◽  
Naveen K. Verma ◽  
Riyad Quttainah ◽  
Osama Al Jallad ◽  
...  

2008 ◽  
Author(s):  
Andres Chavarria ◽  
Bjorn Nils Patrick Paulsson ◽  
Alexander Goertz ◽  
Martin Karrenbach ◽  
Klaus W. Mueller ◽  
...  
Keyword(s):  

Eos ◽  
2015 ◽  
Vol 96 ◽  
Author(s):  
JoAnna Wendel

Invasions, armed conflict, sanctions, and economic distress correlate with cleaner air in high-resolution satellite data that reveal air quality at the individual city level.


2021 ◽  
Author(s):  
Eva Hartmann ◽  
Mingyue Zhang ◽  
Elena Xoplaki ◽  
Sebastian Wagner

<p>The Eastern Mediterranean and Middle East region is influenced by multiple large-scale atmospheric circulation patterns including the Indian Summer Monsoon the North Atlantic Oscillation (NAO), the East Atlantic / Western Russia and Scandinavian patterns. The area offers a broad spectrum, both in time and space, of long high-quality instrumental time series, documentary information and natural archives. Yet, recent reviews revealed that paleoclimate modelling with low horizontal resolution cannot fully help to understand the interactions of the multiple atmospheric patterns, the Mediterranean SSTs and connect potential climate impacts that may trigger or contribute to major social-historical events. Thus, there is a need to integrate high-resolution regional climate modelling into paleo applications. Furthermore, such integration will close the gap between the coarse resolution of climate models and the regional to local scale that is covered by the proxy and historical evidence and will enable a better data-model comparison. We use the regional climate model COSMO-CLM (CCLM) in an adjusted (orbital, solar and volcanic forcing, greenhouse gas concentrations and land-use changes) paleoclimate version. Simulations are performed with 0.44° and 0.11° spatial resolution on a domain including the Eastern Mediterranean and the Middle East in time slices of the past 2000 years. Simulations of the present (1979-2019) with this paleoclimate version of CCLM forced by ERA-Interim reanalysis data have shown promising results compared to observational and reanalysis data sets. The mean annual cycles of precipitation and temperature of the Mediterranean are correctly shown with high temperatures and low precipitation during the summer months and lower temperatures and higher precipitation during the winter months. Additionally, the effect of climate change is simulated with increasing temperatures during the last 40 years. Simulations of the present (1979-2019) and past periods (525-575 CE and 1220-1290 CE) forced by the MPI-ESM-LR ‘past2k’ simulations performed under the CMIP6 protocol will be performed at the next step and first results will be shown in the frame of this conference. The periods are chosen because of high volcanic activity and to study the volcanic influence on climate. Those results are going to be used to link historical events with the regional climate and contribute to a better understanding of the indirect and complex association between climate and society.</p>


2020 ◽  
Author(s):  
D. Tiwari ◽  
W. Gao ◽  
A. Nangarla ◽  
P. Bhowmik ◽  
B. Sayers

2016 ◽  
Vol 29 (19) ◽  
pp. 7103-7126 ◽  
Author(s):  
Hamza Kunhu Bangalath ◽  
Georgiy Stenchikov

Abstract Shortwave absorption is one of the most important, but the most uncertain, components of direct radiative effect by mineral dust. It has a broad range of estimates from different observational and modeling studies and there is no consensus on the strength of absorption. To elucidate the sensitivity of the Middle East–North African (MENA) tropical summer rainbelt to a plausible range of uncertainty in dust shortwave absorption, AMIP-style global high-resolution (25 km) simulations are conducted with and without dust, using the High-Resolution Atmospheric Model (HiRAM). Simulations with dust comprise three different cases by assuming dust as a very efficient, as a standard, and as an inefficient absorber. Intercomparison of these simulations shows that the response of the MENA tropical rainbelt is extremely sensitive to the strength of shortwave absorption. Further analyses reveal that the sensitivity of the rainbelt stems from the sensitivity of the multiscale circulations that define the rainbelt. The maximum response and sensitivity are predicted over the northern edge of the rainbelt, geographically over the Sahel. The sensitivity of the responses over the Sahel, especially that of precipitation, is comparable to the mean state. Locally, the response in precipitation reaches up to 50% of the mean, while dust is assumed to be a very efficient absorber. Taking into account that the Sahel has a very high climate variability and is extremely vulnerable to changes in precipitation, the present study suggests the importance of reducing uncertainty in dust shortwave absorption for a better simulation and interpretation of the Sahel climate.


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