An integrated assessment modeling framework for uncertainty studies in global and regional climate change: the MIT IGSM-CAM (version 1.0) by E. Monier, J. R. Scott, A. P. Sokolov, C. E. Forest, C. A. Schlosser

“…The IGSM-CAM shares the same general strengths and limitations as the Coupled Model Intercomparison Project Phase 3 (CMIP3) models in simulating present-day annual mean surface temperature and precipitation. …”
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Regional Predictions of Air Pollution in Guangzhou: Preliminary Results and Multi-Model Cross-Validations by Zhi Qiao, Shengcheng Cui, Chenglei Pei, Zhou Ye, Xiaoqing Wu, Lei Lei, Tao Luo, Zihan Zhang, Xuebin Li, Wenyue Zhu

“…To achieve this goal, this paper provides a comprehensive evaluation of performances of different models in simulating the most common air pollutants (e.g., PM_2.5, NO₂, SO₂, and CO) in Guangzhou (23.13° N, 113.26° E), China. …”
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Towards UK poSt Arthroplasty Follow-up rEcommendations (UK SAFE): protocol for an evaluation of the requirements for arthroplasty follow-up, and the production of consensus-based r... by Andrew Judge, Sarah R Kingsbury, Nigel K Arden, Jamie Matu, Jamie O’Shea, Rafael Pinedo-Villanueva, Lindsay K Smith, Christine M Thomas, Robert M West, Martin H Stone

“…Four interconnected work packages will be completed: (1) a systematic literature review; (2a) analysis of routinely collected National Health Service data from five national data sets to understand when and which patients present for revision surgery; (2b) prospective data regarding how patients currently present for revision surgery; (3) economic modelling to simulate long-term costs and quality-adjusted life years associated with different follow-up care models and (4) a Delphi-consensus process, involving all stakeholders, to develop a policy document which includes a stratification algorithm to determine appropriate follow-up care for an individual patient.Ethics and DisseminationFavourable ethical opinion has been obtained for WP2a (RO-HES) (220520) and WP2B (220316) from the National Research Ethics Committee. …”
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Environmental controls on surf zone injuries on high-energy beaches by B. Castelle, B. Castelle, T. Scott, R. Brander, J. McCarroll, A. Robinet, E. Tellier, E. Tellier, E. Tellier, E. de Korte, B. Simonnet, L.-R. Salmi, L.-R. Salmi, L.-R. Salmi

“…With life risk defined in terms of the number of people exposed to life threatening hazards at a beach, the ability of morphodynamic models to simulate primary beach morphology characteristics a few weeks or months in advance is therefore of paramount importance for predicting the primary surf zone life risks along this coast.…”
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Modeling Climate Change Impacts on Rangeland Productivity and Livestock Population Dynamics in Nkayi District, Zimbabwe by Trinity S. Senda, Gregory A. Kiker, Patricia Masikati, Albert Chirima, Johan van Niekerk

“…This was done by applying the SAVANNA ecosystem model which simulates rangeland processes and demographic responses of herbivores on a temporal and spatial scale using a weekly internal time step and monthly spatial and temporal outputs. …”
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Modelling, evaluating and implementing cost-effective services to reduce the impact of stroke by Charles DA Wolfe, Anthony G Rudd, Christopher McKevitt

“…The programme has produced data to inform policy and practice with estimates of need for stroke prevention and care services, identification of persistent sociodemographic inequalities in risk and care despite a reduction in stroke risk, quantification of the effectiveness and cost-effectiveness of care and development of models to simulate configurations of care. Stroke is a long-term condition with significant social impact and the data on need and economic modelling have been utilised by the Department of Health, the NAO and Healthcare for London to assess need and model cost-effective options for stroke care. …”
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Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model by K. Sakaguchi, L. R. Leung, C. M. Zarzycki, J. Jang, S. McGinnis, B. E. Harrop, W. C. Skamarock, A. Gettelman, C. Zhao, W. J. Gutowski, S. Leak, L. Mearns

“…This document provides technical details of the model configuration, simulations, computational requirements, post-processing, and data archive of the experimental CAM–MPAS downscaling data.…”
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Impact of Future Development Scenario Selection on Landscape Ecological Risk in the Chengdu-Chongqing Economic Zone by Kangwen Zhu, Jun He, Lanxin Zhang, Dan Song, Longjiang Wu, Yaqun Liu, Sheng Zhang

“…In order to clearly identify the possible impact of future development scenario selection for the Chengdu-Chongqing Economic Zone (<i>C-C E Zone</i>) on the evolution of landscape ecological risk (<i>LER</i>), we introduced the Patch-generating Land Use Simulation (PLUS) model to simulate land use data for the <i>C-C E Zone</i> from 2030 to 2050 for two scenarios: natural development (<i>ND</i>) and ecological protection (<i>EP</i>). …”
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The influence of model spatial resolution on simulated ozone and fine particulate matter for Europe: implications for health impact assessments by S. Fenech, S. Fenech, R. M. Doherty, C. Heaviside, C. Heaviside, C. Heaviside, S. Vardoulakis, H. L. Macintyre, H. L. Macintyre, F. M. O'Connor

“…We examine the impact of model horizontal resolution on simulated concentrations of surface ozone (O₃) and particulate matter less than 2.5 µm in diameter (PM_2.5), and the associated health impacts over Europe, using the HadGEM3–UKCA chemistry–climate model to simulate pollutant concentrations at a coarse (∼ 140 km) and a finer (∼ 50 km) resolution. …”
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Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows by C. J. L. D'Amboise, M. Neuhauser, M. Teich, A. Huber, A. Kofler, F. Perzl, R. Fromm, K. Kleemayr, J.-T. Fischer

“…<p>Models and simulation tools for gravitational mass flows (GMFs) such as snow avalanches, rockfall, landslides, and debris flows are important for research, education, and practice. …”
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A New Extension of the Kumaraswamy Exponential Model with Modeling of Food Chain Data by Eman A. Eldessouky, Osama H. Mahmoud Hassan, Mohammed Elgarhy, Eid A. A. Hassan, Ibrahim Elbatal, Ehab M. Almetwally

“…Classical maximum likelihood and Bayesian estimation approaches are employed to estimate the parameters of the KMKE model. The simulation experiment examines the accuracy of the model parameters by employing Bayesian and maximum likelihood estimation methods. …”
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Control of the Longitudinal Compression and Transverse Focus of Ultrafast Electron Beam for Detecting the Transient Evolution of Materials by Xintian Cai, Zhen Wang, Chaoyue Ji, Xuan Wang, Zhiyin Gan, Sheng Liu

“…We established a particle tracking model to simulate the electron pulse propagation based on the 1-D fluid equation and the 2-D mean-field equation. …”
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A dynamic local-scale vegetation model for lycopsids (LYCOm v1.0) by S. Halder, S. K. M. Arens, K. Jensen, T. W. Dahl, P. Porada

“…In addition to physiological properties, the model also simulates weathering rates using a simple limit-based approach and estimates the biotic enhancement of weathering by these plants. …”
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Seasonal characteristics of emission, distribution, and radiative effect of marine organic aerosols over the western Pacific Ocean: an investigation with a coupled regional climate... by J. Li, Z. Han, Z. Han, P. Fu, X. Yao, M. Liang, M. Liang

“…Model evaluation against a wide variety of observations from research cruises and in situ measurements demonstrated a good skill of the model in simulating temporal variation and spatial distribution of particulate matter with aerodynamic diameter less than 2.5 and 10 <span class="inline-formula">µm</span> (PM<span class="inline-formula">_2.5</span> and PM<span class="inline-formula">₁₀</span>), black carbon (BC), organic carbon (OC), sodium, and aerosol optical depth (AOD) in the marine atmosphere. …”
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3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures by R. B. Madsen, H. Kim, A. J. Kallesøe, P. B. E. Sandersen, T. N. Vilhelmsen, T. M. Hansen, A. V. Christiansen, I. Møller, B. Hansen

“…Based on the collected data and supplementary surface geology maps and digital elevation models, the simulation domain was subdivided into geological elements with similar geological traits and depositional histories. …”
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Asymmetric connectivity of spawning aggregations of a commercially important marine fish using a multidisciplinary approach by Adrian Munguia-Vega, Alexis Jackson, Silvio Guido Marinone, Brad Erisman, Marcia Moreno-Baez, Alfredo Girón-Nava, Tad Pfister, Octavio Aburto-Oropeza, Jorge Torre

“…We followed a multidisciplinary approach that merged detailed descriptions of fishing zones and spawning time at 17 sites distributed in the Midriff Island region of the Gulf of California with a biophysical oceanographic model that simulated larval transport at Pelagic Larval Duration (PLD) 14, 21 and 28 days for the most common and targeted predatory reef fish, (leopard grouper Mycteroperca rosacea). …”
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Pemodelan dan simulasi kontrol proporsional integral pada proses pembuatan pupuk kandang by Eka Zulia Agustin, Irianto Irianto, Hendik Eko Hadi Suharyanto

“…In this study, the temperature control technique of goat manure is modeled and simulated using the PI (proportional integral) controls. …”
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ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition by Y. Huang, B. Guenet, P. Ciais, I. A. Janssens, J. L. Soong, J. L. Soong, Y. Wang, D. Goll, E. Blagodatskaya, E. Blagodatskaya, Y. Huang

“…In this study we present a SOM model called ORCHIMIC, which utilizes input data that are consistent with those of global vegetation models. ORCHIMIC simulates the decomposition of SOM by explicitly accounting for enzyme production and distinguishing three different microbial functional groups: fresh organic matter (FOM) specialists, SOM specialists, and generalists, while also implicitly accounting for microbes that do not produce extracellular enzymes, i.e., cheaters. …”
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Boreal forest BVOC exchange: emissions versus in-canopy sinks by P. Zhou, L. Ganzeveld, D. Taipale, D. Taipale, Ü. Rannik, P. Rantala, M. P. Rissanen, D. Chen, M. Boy

“…A multilayer gas dry deposition model has been developed and implemented into a one-dimensional chemical transport model SOSAA (model to Simulate the concentrations of Organic vapours, Sulphuric Acid and Aerosols) to calculate the dry deposition velocities for all the gas species included in the chemistry scheme. …”
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An experimental and theoretical investigation of the rheological properties and degradation of mucin solutions : (or why saliva becomes watery when removed from your mouth) by Wagner, Caroline (Caroline Elizabeth)

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