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Articles de revues sur le sujet « Global and regional models »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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1

Ustun, A., and R. A. Abbak. "On global and regional spectral evaluation of global geopotential models." Journal of Geophysics and Engineering 7, no. 4 (2010): 369–79. http://dx.doi.org/10.1088/1742-2132/7/4/003.

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CRIHFIELD, JOHN B., and HARRISON S. CAMPBELL. "Evaluating Alternative Regional Planning Models." Growth and Change 22, no. 2 (1991): 1–16. http://dx.doi.org/10.1111/j.1468-2257.1991.tb00544.x.

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Straus, Julian, Jabir Ali Ouassou, Ove Wolfgang, and Gunhild Allard Reigstad. "Introducing global learning in regional energy system models." Energy Strategy Reviews 38 (November 2021): 100763. http://dx.doi.org/10.1016/j.esr.2021.100763.

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4

Bertotti, L., L. Cavaleri, A. Soret, and R. Tolosana-Delgado. "Performance of global and regional nested meteorological models." Continental Shelf Research 87 (September 2014): 17–27. http://dx.doi.org/10.1016/j.csr.2013.12.013.

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GRIMES, DONALD R., GEORGE A. FULTON, and MARC A. BONARDELLI. "Evaluating Alternative Regional Planning Models: Comment." Growth and Change 23, no. 4 (1992): 516–20. http://dx.doi.org/10.1111/j.1468-2257.1992.tb00947.x.

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CRIHFIELD, JOHN B., and HARRISON S. CAMPBELL. "Evaluating Alternative Regional Planning Models: Reply." Growth and Change 23, no. 4 (1992): 521–30. http://dx.doi.org/10.1111/j.1468-2257.1992.tb00948.x.

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Bayona, José A., William H. Savran, Pablo Iturrieta, et al. "Are Regionally Calibrated Seismicity Models More Informative than Global Models? Insights from California, New Zealand, and Italy." Seismic Record 3, no. 2 (2023): 86–95. http://dx.doi.org/10.1785/0320230006.

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Abstract Earthquake forecasting models express hypotheses about seismogenesis that underpin global and regional probabilistic seismic hazard assessments (PSHAs). An implicit assumption is that the comparatively higher spatiotemporal resolution datasets from which regional models are generated lead to more informative seismicity forecasts than global models, which are however calibrated on greater datasets of large earthquakes. Here, we prospectively assess the ability of the Global Earthquake Activity Rate (GEAR1) model and 19 time-independent regional models to forecast M 4.95+ seismicity in

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Basciftci, Fuat, Cevat Inal, Omer Yildirim, and Sercan Bulbul. "Determining regional ionospheric model and comparing with global models." Geodetski vestnik 61, no. 03 (2017): 427–40. http://dx.doi.org/10.15292//geodetski-vestnik.2017.03.427-440.

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Pierce, D. W., T. P. Barnett, B. D. Santer, and P. J. Gleckler. "Selecting global climate models for regional climate change studies." Proceedings of the National Academy of Sciences 106, no. 21 (2009): 8441–46. http://dx.doi.org/10.1073/pnas.0900094106.

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McKone, Thomas E., and Matthew MacLeod. "TRACKINGMULTIPLEPATHWAYS OFHUMANEXPOSURE TOPERSISTENTMULTIMEDIAPOLLUTANTS: Regional, Continental, and Global-Scale Models." Annual Review of Environment and Resources 28, no. 1 (2003): 463–92. http://dx.doi.org/10.1146/annurev.energy.28.050302.105623.

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ELNASHAR, ELSAYED AHMED, L. LYUBOKHINETS, and N. TANASIIENKO. "ANALYTICAL STUDY OF BUSINESS MODELS IN FASHION THEORY STRATEGY FOR GLOBAL MARKETING." Herald of Khmelnytskyi National University. Economic sciences 284, no. 4 (2020): 99–107. https://doi.org/10.31891/2307-5740-2020-284-4-19.

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Analytical Study Of Business Models In Fashion Theory Strategy For Global Marketing, and there is no any study of this Megastore, and this research study investigate the international brands of Benetton as brand Lifestyle. The brand has been analyzed by the current parameters of brand analysis, overall brand perception, brand associations, and brand involvement, as well as two factors – the difference in consumer areas in Cutis’s convergence to international brands on regional brands. Snowball method to collect data, on Facebook pages also poster in their WhatSapp a device or conduit for suppl

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El‐Gabbas, Ahmed, and Carsten F. Dormann. "Wrong, but useful: regional species distribution models may not be improved by range‐wide data under biased sampling." Ecology and Evolution 8, no. 4 (2018): 2196–206. https://doi.org/10.5281/zenodo.13468577.

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(Uploaded by Plazi for the Bat Literature Project) Species distribution modeling (SDM) is an essential method in ecology and conservation. SDMs are often calibrated within one country's borders, typically along a limited environmental gradient with biased and incomplete data, making the quality of these models questionable. In this study, we evaluated how adequate are national presence- only data for calibrating regional SDMs. We trained SDMs for Egyptian bat species at two different scales: only within Egypt and at a species-specific global extent. We used two modeling algorithms: Maxent an

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El‐Gabbas, Ahmed, and Carsten F. Dormann. "Wrong, but useful: regional species distribution models may not be improved by range‐wide data under biased sampling." Ecology and Evolution 8, no. 4 (2018): 2196–206. https://doi.org/10.5281/zenodo.13468577.

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(Uploaded by Plazi for the Bat Literature Project) Species distribution modeling (SDM) is an essential method in ecology and conservation. SDMs are often calibrated within one country's borders, typically along a limited environmental gradient with biased and incomplete data, making the quality of these models questionable. In this study, we evaluated how adequate are national presence- only data for calibrating regional SDMs. We trained SDMs for Egyptian bat species at two different scales: only within Egypt and at a species-specific global extent. We used two modeling algorithms: Maxent an

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El‐Gabbas, Ahmed, and Carsten F. Dormann. "Wrong, but useful: regional species distribution models may not be improved by range‐wide data under biased sampling." Ecology and Evolution 8, no. 4 (2018): 2196–206. https://doi.org/10.5281/zenodo.13468577.

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(Uploaded by Plazi for the Bat Literature Project) Species distribution modeling (SDM) is an essential method in ecology and conservation. SDMs are often calibrated within one country's borders, typically along a limited environmental gradient with biased and incomplete data, making the quality of these models questionable. In this study, we evaluated how adequate are national presence- only data for calibrating regional SDMs. We trained SDMs for Egyptian bat species at two different scales: only within Egypt and at a species-specific global extent. We used two modeling algorithms: Maxent an

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El‐Gabbas, Ahmed, and Carsten F. Dormann. "Wrong, but useful: regional species distribution models may not be improved by range‐wide data under biased sampling." Ecology and Evolution 8, no. 4 (2018): 2196–206. https://doi.org/10.5281/zenodo.13468577.

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(Uploaded by Plazi for the Bat Literature Project) Species distribution modeling (SDM) is an essential method in ecology and conservation. SDMs are often calibrated within one country's borders, typically along a limited environmental gradient with biased and incomplete data, making the quality of these models questionable. In this study, we evaluated how adequate are national presence- only data for calibrating regional SDMs. We trained SDMs for Egyptian bat species at two different scales: only within Egypt and at a species-specific global extent. We used two modeling algorithms: Maxent an

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16

El‐Gabbas, Ahmed, and Carsten F. Dormann. "Wrong, but useful: regional species distribution models may not be improved by range‐wide data under biased sampling." Ecology and Evolution 8, no. 4 (2018): 2196–206. https://doi.org/10.5281/zenodo.13468577.

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(Uploaded by Plazi for the Bat Literature Project) Species distribution modeling (SDM) is an essential method in ecology and conservation. SDMs are often calibrated within one country's borders, typically along a limited environmental gradient with biased and incomplete data, making the quality of these models questionable. In this study, we evaluated how adequate are national presence- only data for calibrating regional SDMs. We trained SDMs for Egyptian bat species at two different scales: only within Egypt and at a species-specific global extent. We used two modeling algorithms: Maxent an

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17

Joyce, Linda A., Thomas W. Hoekstra, and Ralph J. Alig. "Regional multiresource models in a national framework." Environmental Management 10, no. 6 (1986): 761–71. http://dx.doi.org/10.1007/bf01867729.

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18

Pitman, A. J., A. Henderson-Sellers, and Z.-L. Yang. "Sensitivity of regional climates to localized precipitation in global models." Nature 346, no. 6286 (1990): 734–37. http://dx.doi.org/10.1038/346734a0.

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19

Mosayebzadeh, Mahdi, Alireza A. Ardalan, and Roohollah Karimi. "Regional improvement of global geopotential models using GPS/Leveling data." Studia Geophysica et Geodaetica 63, no. 2 (2019): 169–90. http://dx.doi.org/10.1007/s11200-017-1084-9.

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20

Liston, Glen E. "Representing Subgrid Snow Cover Heterogeneities in Regional and Global Models." Journal of Climate 17, no. 6 (2004): 1381–97. http://dx.doi.org/10.1175/1520-0442(2004)017<1381:rsschi>2.0.co;2.

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21

Caldwell, Peter. "California Wintertime Precipitation Bias in Regional and Global Climate Models." Journal of Applied Meteorology and Climatology 49, no. 10 (2010): 2147–58. http://dx.doi.org/10.1175/2010jamc2388.1.

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Abstract In this paper, wintertime precipitation from a variety of observational datasets, regional climate models (RCMs), and general circulation models (GCMs) is averaged over the state of California and compared. Several averaging methodologies are considered and all are found to give similar values when the model grid spacing is less than 3°. This suggests that California is a reasonable size for regional intercomparisons using modern GCMs. Results show that reanalysis-forced RCMs tend to significantly overpredict California precipitation. This appears to be due mainly to the overpredictio

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22

Bechtold, P., E. Bazile, F. Guichard, P. Mascart, and E. Richard. "A mass-flux convection scheme for regional and global models." Quarterly Journal of the Royal Meteorological Society 127, no. 573 (2001): 869–86. http://dx.doi.org/10.1002/qj.49712757309.

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23

Patra, Sumriti Ranjan, Hone-Jay Chu, and Tatas. "Regional groundwater sequential forecasting using global and local LSTM models." Journal of Hydrology: Regional Studies 47 (June 2023): 101442. http://dx.doi.org/10.1016/j.ejrh.2023.101442.

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24

DE, U. S. "Climate change impact : Regional scenario." MAUSAM 52, no. 1 (2021): 201–12. http://dx.doi.org/10.54302/mausam.v52i1.1688.

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Climate change and global warming are going to be the major issues for the 21st century. Their impacts on agriculture, water availability and other natural resources are of serious concern. The paper briefly summarizes the existing information on global warming, past climatic anomalies and occurrence of extreme events vis-a-vis their impact on south Asia in general and Indian in particular. Use of GCM models in conjunction with crop simulation models for impact assessment in agriculture are briefly touched upon. The impact on hydrosphere in terms of water availability and on the forests in Ind

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25

Gutowski, W. J., P. A. Ullrich, A. Hall, et al. "The Ongoing Need for High-Resolution Regional Climate Models: Process Understanding and Stakeholder Information." Bulletin of the American Meteorological Society 101, no. 5 (2020): E664—E683. http://dx.doi.org/10.1175/bams-d-19-0113.1.

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ABSTRACT Regional climate modeling addresses our need to understand and simulate climatic processes and phenomena unresolved in global models. This paper highlights examples of current approaches to and innovative uses of regional climate modeling that deepen understanding of the climate system. High-resolution models are generally more skillful in simulating extremes, such as heavy precipitation, strong winds, and severe storms. In addition, research has shown that fine-scale features such as mountains, coastlines, lakes, irrigation, land use, and urban heat islands can substantially influenc

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Zhang, Yongqiang, Hongxing Zheng, Francis H. S. Chiew, Jorge Peña Arancibia, and Xinyao Zhou. "Evaluating Regional and Global Hydrological Models against Streamflow and Evapotranspiration Measurements." Journal of Hydrometeorology 17, no. 3 (2016): 995–1010. http://dx.doi.org/10.1175/jhm-d-15-0107.1.

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Abstract Land surface and global hydrological models are often used to characterize global water and energy fluxes and stores and to model their future trajectories. This study evaluates estimates of streamflow and evapotranspiration (ET) obtained with a priori parameterization from a land surface model [CSIRO Atmosphere Biosphere Land Exchange (CABLE)] and a global hydrological model (H08) against a global dataset of streamflow from 644 largely unregulated catchments and ET from 98 flux towers and benchmarks their performance against two lumped conceptual daily rainfall–runoff models [modèle

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27

French, Joshua P., Seth McGinnis, and Armin Schwartzman. "Assessing NARCCAP climate model effects using spatial confidence regions." Advances in Statistical Climatology, Meteorology and Oceanography 3, no. 2 (2017): 67–92. http://dx.doi.org/10.5194/ascmo-3-67-2017.

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Abstract. We assess similarities and differences between model effects for the North American Regional Climate Change Assessment Program (NARCCAP) climate models using varying classes of linear regression models. Specifically, we consider how the average temperature effect differs for the various global and regional climate model combinations, including assessment of possible interaction between the effects of global and regional climate models. We use both pointwise and simultaneous inference procedures to identify regions where global and regional climate model effects differ. We also show c

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Siqueira, Vinícius A., Rodrigo C. D. Paiva, Ayan S. Fleischmann, et al. "Toward continental hydrologic–hydrodynamic modeling in South America." Hydrology and Earth System Sciences 22, no. 9 (2018): 4815–42. http://dx.doi.org/10.5194/hess-22-4815-2018.

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Abstract. Providing reliable estimates of streamflow and hydrological fluxes is a major challenge for water resources management over national and transnational basins in South America. Global hydrological models and land surface models are a possible solution to simulate the terrestrial water cycle at the continental scale, but issues about parameterization and limitations in representing lowland river systems can place constraints on these models to meet local needs. In an attempt to overcome such limitations, we extended a regional, fully coupled hydrologic–hydrodynamic model (MGB; Modelo h

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Wilcke, Renate Anna Irma, Thomas Mendlik, and Andreas Gobiet. "Multi-variable error correction of regional climate models." Climatic Change 120, no. 4 (2013): 871–87. http://dx.doi.org/10.1007/s10584-013-0845-x.

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Rummukainen, M., J. Räisänen, D. Bjørge, et al. "Regional Climate Scenarios for use in Nordic Water Resources Studies." Hydrology Research 34, no. 5 (2003): 399–412. http://dx.doi.org/10.2166/nh.2003.0014.

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According to global climate projections, a substantial global climate change will occur during the next decades, under the assumption of continuous anthropogenic climate forcing. Global models, although fundamental in simulating the response of the climate system to anthropogenic forcing are typically geographically too coarse to well represent many regional or local features. In the Nordic region, climate studies are conducted in each of the Nordic countries to prepare regional climate projections with more detail than in global ones. Results so far indicate larger temperature changes in the

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Jámbor, Attila, Péter Gál, and Áron Török. "Determinants of regional trade agreements: Global evidence based on gravity models." Journal of International Studies 13, no. 1 (2020): 44–57. http://dx.doi.org/10.14254/2071-8330.2020/13-1/3.

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Jacques, Peter. "Downscaling climate models and environmental policy: From global to regional politics." Journal of Environmental Planning and Management 49, no. 2 (2006): 301–7. http://dx.doi.org/10.1080/09640560500508205.

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Berbery, Ernesto Hugo, Kenneth E. Mitchell, Stanley Benjamin, et al. "Assessment of land-surface energy budgets from regional and global models." Journal of Geophysical Research: Atmospheres 104, no. D16 (1999): 19329–48. http://dx.doi.org/10.1029/1999jd900128.

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Klees, R., X. Liu, T. Wittwer, et al. "A Comparison of Global and Regional GRACE Models for Land Hydrology." Surveys in Geophysics 29, no. 4-5 (2008): 335–59. http://dx.doi.org/10.1007/s10712-008-9049-8.

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Jenkins, Gregory S., Andre Kamga, Adamou Garba, Arona Diedhiou, Vernon Morris, and Everette Joseph. "Investigating the West African Climate System Using Global/Regional Climate Models." Bulletin of the American Meteorological Society 83, no. 4 (2002): 583–95. http://dx.doi.org/10.1175/1520-0477(2002)083<0583:itwacs>2.3.co;2.

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Dolff-Bonekämper, Gabi, and Jonathan Blower. "National—Regional—Global? Old and New Models of Societal Heritage Constructions." Art in Translation 4, no. 3 (2012): 275–86. http://dx.doi.org/10.2752/175613112x13376070683234.

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Perkins, Sarah E., Andy J. Pitman, Neil J. Holbrook, and John McAneney. "Ability of global climate models at a regional scale over Australia." International Journal of Global Environmental Issues 7, no. 4 (2007): 275. http://dx.doi.org/10.1504/ijgenvi.2007.016108.

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Anh, V., Z. G. Yu, and J. A. Wanliss. "Analysis of global geomagnetic variability." Nonlinear Processes in Geophysics 14, no. 6 (2007): 701–8. http://dx.doi.org/10.5194/npg-14-701-2007.

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Abstract. The orthogonal field components from global INTERMAGNET magnetometer stations are studied via multifractal detrended fluctuation analysis to determine whether there are clear and consistent regional patterns in the behavior of the fluctuations. There are three distinct scaling regimes in the qth-order fluctuation function for each of the 24 stations studied covering Southwest North America, Northeast North America, Central Europe, Northern Europe, Australasia and Asia. There is a consistent break point at time scale around 23 h for all stations. The scaling exponents of the second-or

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Camargo, Suzana J. "Global and Regional Aspects of Tropical Cyclone Activity in the CMIP5 Models." Journal of Climate 26, no. 24 (2013): 9880–902. http://dx.doi.org/10.1175/jcli-d-12-00549.1.

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Abstract Tropical cyclone (TC) activity is analyzed in 14 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5). The global TC activity in the historical runs is compared with observations. The simulation of TC activity in the CMIP5 models is not as good as in higher-resolution simulations. The CMIP5 global TC frequency is much lower than observed, and there is significant deficiency in the geographical patterns of TC tracks and formation. Although all of the models underestimate the global frequency of TCs, the models present a wide range of global TC frequency. The models

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Scinocca, J. F., V. V. Kharin, Y. Jiao, et al. "Coordinated Global and Regional Climate Modeling*." Journal of Climate 29, no. 1 (2015): 17–35. http://dx.doi.org/10.1175/jcli-d-15-0161.1.

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Abstract A new approach of coordinated global and regional climate modeling is presented. It is applied to the Canadian Centre for Climate Modelling and Analysis Regional Climate Model (CanRCM4) and its parent global climate model CanESM2. CanRCM4 was developed specifically to downscale climate predictions and climate projections made by its parent global model. The close association of a regional climate model (RCM) with a parent global climate model (GCM) offers novel avenues of model development and application that are not typically available to independent regional climate modeling center

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Leroy, Stephen S., and James G. Anderson. "Optimal Detection of Regional Trends Using Global Data." Journal of Climate 23, no. 16 (2010): 4438–46. http://dx.doi.org/10.1175/2010jcli3550.1.

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Abstract A complete accounting of model uncertainty in the optimal detection of climate signals requires normalization of the signals produced by climate models; however, there is not yet a well-defined rule for the normalization. This study seeks to discover such a rule. The authors find that, to arrive at the equations of optimal detection from a general application of Bayesian statistics to the problem of climate change, it is necessary to assume that 1) the prior probability density function (PDF) for climate change is separable into independent PDFs for sensitivity and the signals’ spatio

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Karypidou, Maria Chara, Eleni Katragkou, and Stefan Pieter Sobolowski. "Precipitation over southern Africa: is there consensus among global climate models (GCMs), regional climate models (RCMs) and observational data?" Geoscientific Model Development 15, no. 8 (2022): 3387–404. http://dx.doi.org/10.5194/gmd-15-3387-2022.

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Abstract. The region of southern Africa (SAF) is highly vulnerable to the impacts of climate change and is projected to experience severe precipitation shortages in the coming decades. Ensuring that our modeling tools are fit for the purpose of assessing these changes is critical. In this work we compare a range of satellite products along with gauge-based datasets. Additionally, we investigate the behavior of regional climate simulations from the Coordinated Regional Climate Downscaling Experiment (CORDEX) – Africa domain, along with simulations from the Coupled Model Intercomparison Project

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Chayati, Siti Noor, Muhammad Zainuddin Lubis, and Adinda Syahrani. "Accuracy Evaluation of Regional and Global Tidal Models (TPXO9 and Goddard Ocean Tide) at Kabil Tidal Station." Journal of Applied Geospatial Information 7, no. 1 (2023): 820–24. http://dx.doi.org/10.30871/jagi.v7i1.5591.

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Indonesia is an archipelagic country with a total marine area of 5.9 million km², consisting of 3.2 million km² of territorial waters and 2.7 km² of Exclusive Economic Zone waters, not including the continental shelf. With the vast waters in Indonesia, sufficient information about the tides is needed. Limitations of terrestrial tide data amidst the increasing need for marine information can be overcome by using global and regional tide models. This study uses the regional tidal data model released by BIG (Geospatial Information Agency) and the global tide model TPXO9 and GOT (Goddard Ocean Tid

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Feser, Frauke, Burkhardt Rockel, Hans von Storch, Jörg Winterfeldt, and Matthias Zahn. "Regional Climate Models Add Value to Global Model Data: A Review and Selected Examples." Bulletin of the American Meteorological Society 92, no. 9 (2011): 1181–92. http://dx.doi.org/10.1175/2011bams3061.1.

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An important challenge in current climate modeling is to realistically describe small-scale weather statistics, such as topographic precipitation and coastal wind patterns, or regional phenomena like polar lows. Global climate models simulate atmospheric processes with increasingly higher resolutions, but still regional climate models have a lot of advantages. They consume less computation time because of their limited simulation area and thereby allow for higher resolution both in time and space as well as for longer integration times. Regional climate models can be used for dynamical down-sc

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Skogen, Morten D., Solfrid S. Hjøllo, Anne Britt Sandø, and Jerry Tjiputra. "Future ecosystem changes in the Northeast Atlantic: a comparison between a global and a regional model system." ICES Journal of Marine Science 75, no. 7 (2018): 2355–69. http://dx.doi.org/10.1093/icesjms/fsy088.

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Abstract The biogeochemistry from a global climate model (Norwegian Earth System Model) has been compared with results from a regional model (NORWECOM.E2E), where the regional model is forced by downscaled physics from the global model. The study should both be regarded as a direct comparison between a regional and its driving global model to investigate at what extent a global climate model can be used for regional studies, and a study of the future climate change in the Nordic and Barents Seas. The study concludes that the global and regional model compare well on trends, but many details ar

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De Nardi, Sabrina, Claudio Carnevale, Sara Raccagni, and Lucia Sangiorgi. "Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia." Forecasting 6, no. 1 (2024): 100–114. http://dx.doi.org/10.3390/forecast6010006.

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Models are a core element in performing local estimation of the climate change input. In this work, a novel approach to perform a fast downscaling of global temperature anomalies on a regional level is presented. The approach is based on a set of data-driven models linking global temperature anomalies and regional and global emissions to regional temperature anomalies. In particular, due to the limited number of available data, a linear autoregressive structure with exogenous input (ARX) has been considered. To demonstrate their relevance to the existing literature and context, the proposed AR

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Dolman, A. J., J. Noilhan, P. Durand, et al. "The CarboEurope Regional Experiment Strategy." Bulletin of the American Meteorological Society 87, no. 10 (2006): 1367–80. http://dx.doi.org/10.1175/bams-87-10-1367.

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The Second Global Soil Wetness Project (GSWP-2) is an initiative to compare and evaluate 10-year simulations by a broad range of land surface models under controlled conditions. A major product of GSWP-2 is the first global gridded multimodel analysis of land surface state variables and fluxes for use by meteorologists, hydrologists, engineers, biogeochemists, agronomists, botanists, ecologists, geographers, climatologists, and educators. Simulations by 13 land models from five nations have gone into production of the analysis. The models are driven by forcing data derived from a combination o

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Staten, Paul W., Kevin M. Grise, Sean M. Davis, et al. "Tropical Widening: From Global Variations to Regional Impacts." Bulletin of the American Meteorological Society 101, no. 6 (2020): E897—E904. http://dx.doi.org/10.1175/bams-d-19-0047.1.

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Abstract Over the past 15 years, numerous studies have suggested that the sinking branches of Earth’s Hadley circulation and the associated subtropical dry zones have shifted poleward over the late twentieth century and early twenty-first century. Early estimates of this tropical widening from satellite observations and reanalyses varied from 0.25° to 3° latitude per decade, while estimates from global climate models show widening at the lower end of the observed range. In 2016, two working groups, the U.S. Climate Variability and Predictability (CLIVAR) working group on the Changing Width of

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Ionescu, Romeo-Victor, Monica Laura Zlati, and Valentin Marian Antohi. "Global Challenges vs. the Need for Regional Performance Models under the Present Pandemic Crisis." International Journal of Environmental Research and Public Health 18, no. 19 (2021): 10254. http://dx.doi.org/10.3390/ijerph181910254.

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The present study uses the analysis of the EU’s regional performance structure based on clusters to test the versatility of the regional administrative capacity in relation to three disruptive global phenomena: the economic crisis, the coronavirus epidemic and the phenomenon of refugee migration to Europe. We defined a regional performance model based on maintaining sustainability indicators in the 240 EU regions. The objectives of the study are aimed primarily at a structured assessment of regional administrative capacity in the initial version, based on statistical indicators, and in the cur

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Safi’i, A. N., Susilo, D. Ramdani, and B. Muslim. "Utilization of Indonesia’s regional ionosphere model to improve the accuracy of GPS measurements to support disaster mitigation studies." IOP Conference Series: Earth and Environmental Science 950, no. 1 (2022): 012097. http://dx.doi.org/10.1088/1755-1315/950/1/012097.

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Abstract Ionospheric can cause severe degradation of GPS (Global Positioning System) functionality and decrease coordinate accuracy. Increasing the precision of GPS station coordinates will improve accuracy in many applications. Many applications can use GPS for deformation studies, such as geodynamic studies, active fault studies, volcanic deformation monitoring, land subsidence studies, and hazard mitigation studies. We can use global ionospheric correction to produce better coordinates by utilizing post-processing GPS data. With the increasing number of GPS stations in Indonesia, it is poss

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