Design and development of the SLAV-INMIO-CICE coupled model for seasonal prediction and climate research

2018 ◽  
Vol 33 (6) ◽  
pp. 333-340 ◽  
Author(s):  
Rostislav Yu. Fadeev ◽  
Konstantin V. Ushakov ◽  
Mikhail A. Tolstykh ◽  
Rashit A. Ibrayev
Keyword(s):  
Coupled Model ◽  
Seasonal Prediction ◽  
Compact Modeling ◽  
Preliminary Evaluation ◽  
Shirshov Institute ◽  
Modeling Framework ◽  
Computational Aspects ◽  
And Performance ◽  
Model Components ◽  
Academy Of Sciences

Abstract SLAV–INMIO–CICE is the coupled atmosphere–ocean–ice model developed at Marchuk Institute of Numerical Mathematics (INM) Russian Academy of Sciences (RAS), Shirshov Institute of Oceanology RAS and Hydrometeorological Centre of Russia (HMCR). The model components are coupled using the new version of the own developed Compact Modeling Framework (CMF). This paper presents design of the coupled model and some computational aspects related to the model components coupling. Preliminary evaluation of the coupled model climate and performance are also given.

IN MEMORY OF PAVEL ANTONOVICH STUNZHAS (1940–2020)

2020 ◽  
Vol 48 (4) ◽  
pp. 172-176
Author(s):  
A. A. Polukhin ◽  
M. V. Flint
Keyword(s):  
80Th Birthday ◽  
Highly Qualified ◽  
Shirshov Institute ◽  
Russian Academy Of Sciences ◽  
Moscow Institute ◽  
Senior Researcher ◽  
The Will ◽  
And Mathematics ◽  
Academy Of Sciences

The article is dedicated to Pavel A. Stunzhas, a highly qualified specialist in the field of Marine Hydrochemistry, a graduate from the Moscow Institute of Physics and Technology. He was a Senior Researcher at the Laboratory of Biohydrochemistry at the Shirshov Institute of Oceanology Russian Academy of Sciences, PhD on Physics and Mathematics sciences. July 2, 2020, he celebrated his 80th birthday, but by the will of fate and COVD'19, he suddenly passed away on October 29 of this year. He worked at the Institute of Oceanology for 46 years – from the first to the last days of his life.

A Streamflow and Water Level Forecasting Model for the Ganges, Brahmaputra, and Meghna Rivers with Requisite Simplicity

2018 ◽  
Vol 19 (1) ◽  
pp. 201-225 ◽  
Author(s):  
Wahid Palash ◽  
Yudan Jiang ◽  
Ali S. Akanda ◽  
David L. Small ◽  
Amin Nozari ◽  
...  
Keyword(s):  
Water Level ◽  
Lead Time ◽  
Large Scale ◽  
Predictive Ability ◽  
Large River ◽  
Modeling Framework ◽  
Forecasting Accuracy ◽  
Weather Model ◽  
And Performance ◽  
The Ganges

A forecasting lead time of 5–10 days is desired to increase the flood response and preparedness for large river basins. Large uncertainty in observed and forecasted rainfall appears to be a key bottleneck in providing reliable flood forecasting. Significant efforts continue to be devoted to developing mechanistic hydrological models and statistical and satellite-driven methods to increase the forecasting lead time without exploring the functional utility of these complicated methods. This paper examines the utility of a data-based modeling framework with requisite simplicity that identifies key variables and processes and develops ways to track their evolution and performance. Findings suggest that models with requisite simplicity—relying on flow persistence, aggregated upstream rainfall, and travel time—can provide reliable flood forecasts comparable to relatively more complicated methods for up to 10 days lead time for the Ganges, Brahmaputra, and upper Meghna (GBM) gauging locations inside Bangladesh. Forecasting accuracy improves further by including weather-model-generated forecasted rainfall into the forecasting scheme. The use of water level in the model provides equally good forecasting accuracy for these rivers. The findings of the study also suggest that large-scale rainfall patterns captured by the satellites or weather models and their “predictive ability” of future rainfall are useful in a data-driven model to obtain skillful flood forecasts up to 10 days for the GBM basins. Ease of operationalization and reliable forecasting accuracy of the proposed framework is of particular importance for large rivers, where access to upstream gauge-measured rainfall and flow data are limited, and detailed modeling approaches are operationally prohibitive and functionally ineffective.

scholarly journals Strategic Business Model Development in Ecosystems

2021 ◽  
Author(s):  
◽  
Dominik Mann
Keyword(s):  
Business Model ◽  
Development Process ◽  
Business Models ◽  
Model Development ◽  
Entrepreneurial Ventures ◽  
And Performance ◽  
Integration Strategies ◽  
Model Components ◽  
Business Model Development ◽  
Model Development Process

<p>Designing and strategically developing viable business models is vital for value creation and capture and in turn for the survival and performance of entrepreneurial ventures. However, the widely held firm-centric and static business model perspective appears inadequate to reflect the realities of increasingly blurred industry boundaries, interconnected economies, and the resulting collapse of incumbent value chains. This PhD thesis adds understanding of the dynamic business model development process from an ecosystem perspective. The evolution of ten entrepreneurial ventures’ business models was documented and investigated through longitudinal in-depth case studies over twelve months. Analysing and comparing the cases revealed strategies that resulted in the development of effective interactive structures and robust value co-creation and capture mechanisms. The development of interactive structures, i.e. firm-ecosystem fits, was either supported by a focused or diversified ecosystem integration approach underpinned by heterogeneous interdependencies of value proposition and business model components across ecosystems. The obtained insights allowed the derivation of sets of capabilities that supported the business model development process and enhanced entrepreneurial ventures’ chances of survival. The findings have several implications for advancements of the business model theory. In particular they indicate what integration strategies can inform entrepreneurs’ and managers’ business model design and execution strategies for operating in increasingly complex ecosystems.</p>

Analytical compact modeling framework for the 2D electrostatics in lightly doped double-gate MOSFETs

2012 ◽  
Vol 69 ◽  
pp. 72-84 ◽  
Author(s):  
Mike Schwarz ◽  
Thomas Holtij ◽  
Alexander Kloes ◽  
Benjamín Iñíguez
Keyword(s):  
Compact Modeling ◽  
Double Gate ◽  
Modeling Framework

Contribuția etnologului Sergiu Moraru la dezvoltarea folcloristicii din Basarabia – itinerar biografic și științific

2021 ◽  
Author(s):  
Mariana Cocieru ◽  
◽  
◽  
Keyword(s):  
Cultural Heritage ◽  
Scientific Activity ◽  
Intangible Cultural Heritage ◽  
Research Directions ◽  
Academic Field ◽  
Language And Literature ◽  
And Performance ◽  
Academy Of Sciences

In the present study, the author traces the biographical landmarks and the preoccupations of the ethnologist Sergiu Moraru for the safeguarding of the intangible cultural heritage by conducting field researches and scientific use of registered materials. He worked for almost 23 years in the academic field (at Department of Ethnography and Arts Study of the Academy of Sciences of Moldova, then at the Folklore Sector of the Institute of Language and Literature of the ASM, at the Department of Ethnography and Arts of the Institute of Ethnography and Folklore of ASM), holding the positions: lower scientific researcher, scientific researcher. A prominent personality of Romanian folkloristics from Bessarabia, Sergiu Moraru has established himself as a prolific researcher of ethnocultural phenomena, being passionate about the species of non-occasional folklore: lyrical songs, proverbs, sayings, riddles, shouts, memories and verse letters. The scientific activity focused on several research directions: the theoretical, methodological and philosophical aspects of folklore; the genesis, evolution, typology and poetics of the lyrical song and riddles; capitalization of the folklore heritage and classical folkloristics; promotion and performance of the folk treasure in folk festivals; the permanence of popular creation in contemporaneity, etc.

Does the Signal-to-Noise Paradox Exist in Subseasonal Predictions?

2021 ◽  
Author(s):  
Wei Zhang ◽  
Baoqiang Xiang ◽  
Ben Kirtman ◽  
Emily Becker
Keyword(s):  
Signal To Noise Ratio ◽  
Current Model ◽  
Model Development ◽  
Coupled Model ◽  
Seasonal Prediction ◽  
Signal To Noise ◽  
Model Framework ◽  
Noise Ratio ◽  
Decadal Climate ◽  
New Generation

&lt;p&gt;One of the emerging topics in climate prediction is the issue of the so-called &amp;#8220;signal-to-noise paradox&amp;#8221;, characterized by too small signal-to-noise ratio in current model predictions that cannot reproduce the realistic signal. Recent studies have suggested that seasonal-to-decadal climate can be more predictable than ever expected due to the paradox. But no studies, to the best of our knowledge, have been focused on whether the signal-to-noise paradox exists in subseasonal predictions. The present study seeks to address the existence of the paradox in subseasonal predictions based on (i) coupled model simulations participating in phase 5 and phase 6 of the Coupled Model Intercomparison Project (CMIP5 and CMIP6, respectively), and (ii) subseasonal hindcast outputs from the Subseasonal Experiment (SubX) and the Subseasonal-to-Seasonal Prediction (S2S) projects. Of particular interest is the possible existence of the paradox in the new generation of GFDL SPEAR model, through the diagnosis of which may help identify potential issues in the new forecast system to guide future model development and initialization. Here we investigate the paradox issue using two methods: the ratio of predictable component defined as the ratio of predictable component in the real world to the signal-to-noise ratio in models and the persistence/dispersion characteristics estimated from a Markov model framework. The preliminary results suggest a potentially widespread occurrence of the signal-to-noise paradox in subseasonal predictions, further implying some room for improvement in future ensemble-based subseasonal predictions.&lt;/p&gt;

Investigation of rotor thermal stress in squirrel cage induction motor with broken bar faults

2016 ◽  
Vol 35 (5) ◽  
pp. 1865-1886 ◽  
Author(s):  
Ying Xie ◽  
Ze Wang ◽  
Xueting Shan ◽  
Yangyang Li
Keyword(s):  
Thermal Stress ◽  
Induction Motor ◽  
Coupled Model ◽  
Coupled Analysis ◽  
Content Type ◽  
Squirrel Cage ◽  
Squirrel Cage Induction Motor ◽  
And Performance ◽  
Cage Induction Motor ◽  
Good Agreement

Purpose Thermal stress of the rotor in a squirrel cage induction motor is generated due to the temperature rise, and the structure of the rotor will be destroyed if the stress acted on the rotor exceeds its limits, so the thermal stress is also one of the main causes led to broken bar fault. The purpose of this paper is to report the thermal stress coupled analysis for the induction motor with healthy and faulty rotor, and to find the variation tendency of the temperature and thermal stress due to broken bars, and the part most likely to break in the rotor as a result of the thermal stress load are identified. Design/methodology/approach The steady temperature and thermal stress of the rotor in the case of the healthy and faulty conditions are calculated by finite element method, and the 3D model of the motor used in the experiments is established and the experimental results are presented for both healthy and faulty machines. Findings The influence of the broken bars fault on the motor thermal profile and thermal stress can be found, and it explains why the breaking point always appears in the joint of the bars and end rings. Originality/value The paper presents the 3D thermal stress coupled model and performance characteristics of induction motor with broken bars. The reasonable constraint is established according to the contact of components each other, and more reasonable fracture location is selected. The results obtained by the simulation model are in a good agreement with practical situation, because the effect of skewed rotor were taken into consideration in the process of simulation.

scholarly journals Comparison of the observed dependence of large-scale Birkeland currents on solar wind parameters with that obtained from global simulations

2011 ◽  
Vol 29 (10) ◽  
pp. 1809-1826 ◽  
Author(s):  
H. Korth ◽  
L. Rastätter ◽  
B. J. Anderson ◽  
A. J. Ridley
Keyword(s):  
Magnetic Field ◽  
Solar Wind ◽  
Large Scale ◽  
Coupled Model ◽  
Total Current ◽  
Modeling Framework ◽  
Rate Of Increase ◽  
Solar Wind Parameters ◽  
The University ◽  
Birkeland Currents

Abstract. Spatial distributions of the large-scale Birkeland currents derived from magnetic field data acquired by the constellation of Iridium Communications satellites have been compared with global-magnetosphere magneto-hydrodynamic (MHD) simulations. The Iridium data, spanning the interval from February 1999 to December 2007, were first sorted into 45°-wide bins of the interplanetary magnetic field (IMF) clock angle, and the dependencies of the Birkeland currents on solar wind electric field magnitude, Eyz, ram pressure, psw, and Alfvén Mach number, MA, were then examined within each bin. The simulations have been conducted at the publicly-accessible Community Coordinated Modeling Center using the University of Michigan Space Weather modeling Framework, which features a global magnetosphere model coupled to the Rice Convection Model. In excess of 120 simulations with steady-state conditions were executed to yield the dependencies of the Birkeland currents on the solar wind and IMF parameters of the coupled model. Averaged over all IMF orientations, the simulation reproduces the Iridium statistical Birkeland current distributions with a two-dimensional correlation coefficient of about 0.8, and the total current agrees with the climatology averages to within 10%. The total current for individual events regularly exceeds those computed from statistical distributions by factors of ≥2, resulting in larger disparities between observations and simulations. The simulation results also qualitatively reflect the observed increases in total current with increasing Eyz and psw, but the model underestimates the rate of increase by up to 50%. The equatorward expansion and shift of the large-scale currents toward noon observed for increasing Eyz are also evident in the simulation current patterns. Consistent with the observations, the simulation does not show a significant dependence of the total current on MA.

scholarly journals Compact Modeling Framework v3.0 for high-resolution global ocean–ice–atmosphere models

2018 ◽  
Vol 11 (10) ◽  
pp. 3983-3997 ◽  
Author(s):  
Vladimir V. Kalmykov ◽  
Rashit A. Ibrayev ◽  
Maxim N. Kaurkin ◽  
Konstantin V. Ushakov
Keyword(s):  
Message Passing ◽  
Message Passing Interface ◽  
Global Ocean ◽  
Optimal Interpolation ◽  
Compact Modeling ◽  
Software Environment ◽  
Modeling Framework ◽  
Partitioned Global Address Space ◽  
Version 2.0 ◽  
High Level

Abstract. We present a new version of the Compact Modeling Framework (CMF3.0) developed for the software environment of stand-alone and coupled global geophysical fluid models. The CMF3.0 is designed for use on high- and ultrahigh-resolution models on massively parallel supercomputers.The key features of the previous CMF, version 2.0, are mentioned to reflect progress in our research. In CMF3.0, the message passing interface (MPI) approach with a high-level abstract driver, optimized coupler interpolation and I/O algorithms is replaced with the Partitioned Global Address Space (PGAS) paradigm communications scheme, while the central hub architecture evolves into a set of simultaneously working services. Performance tests for both versions are carried out. As an addition, some information about the parallel realization of the EnOI (Ensemble Optimal Interpolation) data assimilation method and the nesting technology, as program services of the CMF3.0, is presented.

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