scholarly journals Excitonic Energy Landscape of the Y16F Mutant of the Chlorobium tepidum Fenna–Matthews–Olson (FMO) Complex: High Resolution Spectroscopic and Modeling Studies

2018 ◽  
Vol 122 (14) ◽  
pp. 3734-3743 ◽  
Author(s):  
Anton Khmelnitskiy ◽  
Rafael G. Saer ◽  
Robert E. Blankenship ◽  
Ryszard Jankowiak
Keyword(s):  
High Resolution ◽  
Energy Landscape ◽  
Chlorobium Tepidum ◽  
Modeling Studies ◽  
Excitonic Energy

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>

High-Resolution Imaging of Maltoporin LamB while Quantifying the Free-Energy Landscape and Asymmetry of Sugar Binding

Nano Letters ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 6442-6453 ◽  
Author(s):  
Estefania Mulvihill ◽  
Moritz Pfreundschuh ◽  
Johannes Thoma ◽  
Noah Ritzmann ◽  
Daniel J. Müller
Keyword(s):  
Free Energy ◽  
High Resolution ◽  
Energy Landscape ◽  
Free Energy Landscape ◽  
High Resolution Imaging ◽  
Sugar Binding ◽  
Resolution Imaging

scholarly journals High-Resolution Mapping of a Repeat Protein Folding Free Energy Landscape

2016 ◽  
Vol 111 (11) ◽  
pp. 2368-2376 ◽  
Author(s):  
Martin J. Fossat ◽  
Thuy P. Dao ◽  
Kelly Jenkins ◽  
Mariano Dellarole ◽  
Yinshan Yang ◽  
...  
Keyword(s):  
Free Energy ◽  
Protein Folding ◽  
High Resolution ◽  
Energy Landscape ◽  
Free Energy Landscape ◽  
Repeat Protein ◽  
High Resolution Mapping ◽  
Resolution Mapping ◽  
Folding Free Energy

Energy landscape in molecular glasses probed by high-resolution dielectric experiments

2010 ◽  
Vol 82 (10) ◽  
Author(s):  
Catalin Gainaru ◽  
Roland Böhmer ◽  
Robert Kahlau ◽  
Ernst Rössler
Keyword(s):  
High Resolution ◽  
Energy Landscape ◽  
Molecular Glasses

scholarly journals Toward high-spatial resolution hydrological modeling for China: Calibrating the VIC model

2019 ◽  
Author(s):  
Bowen Zhu ◽  
Xianhong Xie ◽  
Chuiyu Lu ◽  
Shanshan Meng ◽  
Yi Yao ◽  
...  
Keyword(s):  
High Resolution ◽  
Spatial Resolution ◽  
Hydrological Modeling ◽  
Model Parameters ◽  
Data Simulation ◽  
Infiltration Capacity ◽  
Vic Model ◽  
Spatial And Temporal Distributions ◽  
Modeling Studies ◽  
Estimation Scheme

Abstract. High-resolution hydrological modeling is important for understanding fundamental terrestrial processes associated with the effects of climate variability and human activities on water resources availability. However, the spatial resolution of current hydrological modeling studies is mostly constrained to a relative coarse resolution (~ 10–100 km) and they are therefore unable to address many of the water-related issues facing society. In this study, a high resolution (0.0625º, ~ 6 km) hydrological modeling for China was developed based on the Variable Infiltration Capacity (VIC) model, spanning the period from January of 1970 to June of 2016. Distinct from other modeling studies, the parameters in the VIC model were updated using newly developed soil and vegetation datasets, and an effective parameter estimation scheme was used to transfer parameters from gauged to ungauged basins. Simulated runoff, evapotranspiration (ET), and soil moisture (SM) were extensively evaluated using in-situ observations, which indicated that there was a great improvement due to the updated model parameters. The spatial and temporal distributions of simulated ET and SM were also consistent with remote sensing retrievals. Moreover, this high-resolution modeling is capable of capturing flood and drought events with respect to their timing, duration, and spatial extent. This study shows that the hydrological datasets produced from this high-resolution modeling are useful for understanding long-term climate change and water resource security. It also has great potential for coupling with the China Land Data Simulation System to achieve real-time hydrological forecasts across China.

Observing the base-by-base search for native structure along transition paths during the folding of single nucleic acid hairpins

2021 ◽  
Vol 118 (49) ◽  
pp. e2101006118
Author(s):  
Noel Q. Hoffer ◽  
Krishna Neupane ◽  
Michael T. Woodside
Keyword(s):  
Nucleic Acid ◽  
High Resolution ◽  
Optical Tweezers ◽  
Energy Landscape ◽  
Transition States ◽  
Energy Transition ◽  
High Energy ◽  
Sequence Dependence ◽  
High Energy Transition ◽  
Nucleotide Residue

Biomolecular folding involves searching among myriad possibilities for the native conformation, but the elementary steps expected from theory for this search have never been detected directly. We probed the dynamics of folding at high resolution using optical tweezers, measuring individual trajectories as nucleic acid hairpins passed through the high-energy transition states that dominate kinetics and define folding mechanisms. We observed brief but ubiquitous pauses in the transition states, with a dwell time distribution that matched microscopic theories of folding quantitatively. The sequence dependence suggested that pauses were dominated by microbarriers from nonnative conformations during the search by each nucleotide residue for the native base-pairing conformation. Furthermore, the pauses were position dependent, revealing subtle local variations in energy–landscape roughness and allowing the diffusion coefficient describing the microscopic dynamics within the barrier to be found without reconstructing the shape of the energy landscape. These results show how high-resolution measurements can elucidate key microscopic events during folding to test fundamental theories of folding.

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