Works matching DE "GLOBAL modeling systems"
Results: 337
Effects of Soil Texture Datasets on FGOALS-g3 Global Long-Term Simulations.
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- SOLA, 2024, v. 20, p. 357, doi. 10.2151/sola.2024-047
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A global dust emission dataset for estimating dust radiative forcings in climate models.
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- Atmospheric Chemistry & Physics, 2025, v. 25, n. 4, p. 2311, doi. 10.5194/acp-25-2311-2025
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Evaluating an Earth system model from a water manager perspective.
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- Hydrology & Earth System Sciences, 2025, v. 29, n. 4, p. 1117, doi. 10.5194/hess-29-1117-2025
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Environment-Equity-Economy Model for Food.
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- UMAP Journal, 2021, v. 42, n. 3, p. 271
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A phylogeny-informed characterisation of global tetrapod traits addresses data gaps and biases.
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- PLoS Biology, 2024, v. 22, n. 7, p. 1, doi. 10.1371/journal.pbio.3002658
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Inter-modelling with patterns.
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- Software & Systems Modeling, 2013, v. 12, n. 1, p. 145, doi. 10.1007/s10270-011-0192-1
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Typing artifacts in megamodeling.
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- Software & Systems Modeling, 2013, v. 12, n. 1, p. 105, doi. 10.1007/s10270-011-0191-2
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Evaluation of spatial–temporal features and circulation patterns of Northeast China cold vortex in CMIP6 AMIP simulations.
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- Climate Dynamics, 2023, v. 61, n. 11/12, p. 5653, doi. 10.1007/s00382-023-06875-8
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Mechanism of skillful seasonal surface chlorophyll prediction over the southern Pacific using a global earth system model.
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- Climate Dynamics, 2021, v. 56, n. 1/2, p. 45, doi. 10.1007/s00382-020-05403-2
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Projecting the future vegetation–climate system over East Asia and its RCP-dependence.
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- Climate Dynamics, 2020, v. 55, n. 9/10, p. 2725, doi. 10.1007/s00382-020-05411-2
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Benefits of representing floodplains in a Land Surface Model: Pantanal simulated with ORCHIDEE CMIP6 version.
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- Climate Dynamics, 2020, v. 55, n. 5/6, p. 1303, doi. 10.1007/s00382-020-05324-0
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Predictability of phases and magnitudes of natural decadal climate variability phenomena in CMIP5 experiments with the UKMO HadCM3, GFDL-CM2.1, NCAR-CCSM4, and MIROC5 global earth system models.
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- Climate Dynamics, 2019, v. 52, n. 5/6, p. 3255, doi. 10.1007/s00382-018-4321-1
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Decadal prediction skill in the GEOS-5 forecast system.
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- Climate Dynamics, 2014, v. 42, n. 1/2, p. 1, doi. 10.1007/s00382-013-1858-x
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Projected changes in tropical cyclone climatology and landfall in the Southwest Indian Ocean region under enhanced anthropogenic forcing.
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- Climate Dynamics, 2013, v. 40, n. 11/12, p. 2867, doi. 10.1007/s00382-012-1635-2
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Downscaled simulations of the ECHAM5, CCSM3 and HadCM3 global models for the eastern Mediterranean-Black Sea region: evaluation of the reference period.
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- Climate Dynamics, 2012, v. 39, n. 1/2, p. 207, doi. 10.1007/s00382-011-1187-x
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US energy system transitions under cumulative emissions budgets.
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- Climatic Change, 2020, v. 162, n. 4, p. 1947, doi. 10.1007/s10584-020-02670-0
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On Global Ionospheric Maps based winter-time GPS ionospheric delay with reference to the Klobuchar model: Case study of the Northern Adriatic.
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- Scientific Journal of Maritime Research, 2019, v. 33, n. 2, p. 210, doi. 10.31217/p.33.2.11
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GLOBAL DISTRIBUTION SYSTEMS VERSUS NEW DISTRIBUTION CAPABILITY AND INTERNET OF THINGS.
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- European Journal of Applied Economics, 2022, v. 19, n. 1, p. 81, doi. 10.5937/EJAE19-36420
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Dataset of soil hydraulic parameters in the Yellow River Basin based on in situ deep sampling.
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- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-03576-7
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On an electromagnetic calculation of ionospheric conductance that seems to override the field line integrated conductivity.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-58512-x
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The biogeography of ecoregions: Descriptive power across regions and taxa.
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- Journal of Biogeography, 2020, v. 47, n. 7, p. 1413, doi. 10.1111/jbi.13871
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Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2019, v. 182, n. 2, p. 379, doi. 10.1111/rssa.12381
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Increased nitrogen enrichment and shifted patterns in the world's grassland: 1860–2016.
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- Earth System Science Data, 2019, v. 11, n. 1, p. 175, doi. 10.5194/essd-11-175-2019
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Global–Local Spatial Platform for Economic Geography: Mechanism for Sustaining Bifurcation.
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- International Journal of Bifurcation & Chaos in Applied Sciences & Engineering, 2022, v. 32, n. 11, p. 1, doi. 10.1142/S0218127422300269
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Assimilation of Screen-level Observations for Soil Moisture Analysis in the INM RAS-MSU Multilayer Soil Model Included in the SL-AV Global Atmospheric Modeling System.
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- Russian Meteorology & Hydrology, 2022, v. 47, n. 8, p. 561, doi. 10.3103/S1068373922080015
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Climate change in IAP RAS global model taking account of interaction with methane cycle under anthropogenic scenarios of RCP family.
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- Russian Meteorology & Hydrology, 2013, v. 38, n. 11, p. 741, doi. 10.3103/S1068373913110034
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Long-term transmission dynamics of tick-borne diseases involving seasonal variation and co-feeding transmission.
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- Journal of Biological Dynamics, 2021, v. 15, n. 1, p. 269, doi. 10.1080/17513758.2021.1919322
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Co-producing urban transport systems: adapting a global model in Dar es Salaam.
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- Sustainability: Science, Practice & Policy, 2021, v. 17, n. 1, p. 47, doi. 10.1080/15487733.2020.1862545
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Tropospheric carbon monoxide over the Pacific during HIPPO: two-way coupled simulation of GEOS-Chem and its multiple nested models.
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- Atmospheric Chemistry & Physics Discussions, 2014, v. 14, n. 13, p. 18961, doi. 10.5194/acpd-14-18961-2014
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Global modelling of direct and indirect effects of sea spray aerosol using a source function encapsulating wave state.
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- Atmospheric Chemistry & Physics Discussions, 2014, v. 14, n. 4, p. 4537, doi. 10.5194/acpd-14-4537-2014
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On the wintertime low bias of Northern Hemisphere carbon monoxide in global model studies.
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- Atmospheric Chemistry & Physics Discussions, 2014, v. 14, n. 1, p. 245, doi. 10.5194/acpd-14-245-2014
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Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a Global Climate Model.
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- Atmospheric Chemistry & Physics Discussions, 2013, v. 13, n. 12, p. 31479, doi. 10.5194/acpd-13-31479-2013
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A laboratory characterisation of inorganic iodine emissions from the sea surface: dependence on oceanic variables and parameterisation for global modelling.
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- Atmospheric Chemistry & Physics Discussions, 2013, v. 13, n. 12, p. 31445, doi. 10.5194/acpd-13-31445-2013
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Global modeling of SOA: the use of different mechanisms for aqueous phase formation.
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- Atmospheric Chemistry & Physics Discussions, 2013, v. 13, n. 11, p. 29629, doi. 10.5194/acpd-13-29629-2013
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Droplet number prediction uncertainties from CCN: an integrated assessment using observations and a global adjoint model.
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- Atmospheric Chemistry & Physics Discussions, 2012, v. 12, n. 8, p. 20483, doi. 10.5194/acpd-12-20483-2012
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Within-Neighborhood Dynamics: Disadvantage, Collective Efficacy, and Homicide Rates in Chicago.
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- Social Problems, 2019, v. 66, n. 3, p. 428, doi. 10.1093/socpro/spy013
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A coupling strategy for adaptive local refinement in space and time with a fixed global model in explicit dynamics.
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- Computational Mechanics, 2014, v. 53, n. 4, p. 561, doi. 10.1007/s00466-013-0917-9
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A global model study of natural bromine sources and the effects on tropospheric chemistry using MOZART4.
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- Journal of Atmospheric Chemistry, 2013, v. 70, n. 1, p. 69, doi. 10.1007/s10874-013-9252-y
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Performance of a high resolution global model over southern South America.
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- International Journal of Climatology, 2013, v. 33, n. 4, p. 904, doi. 10.1002/joc.3478
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Dual Input Z-source Indirect Matrix Converter for Grid Connected Hybrid Renewable Energy Systems.
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- Periodica Polytechnica: Electrical Engineering & Computer Science, 2021, v. 65, n. 3, p. 218, doi. 10.3311/PPee.18031
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Quantifying Carbon Cycle Extremes and Attributing Their Causes Under Climate and Land Use and Land Cover Change From 1850 to 2300.
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- Journal of Geophysical Research. Biogeosciences, 2022, v. 127, n. 6, p. 1, doi. 10.1029/2021JG006738
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- Article
Uncertainty Quantification of Global Net Methane Emissions From Terrestrial Ecosystems Using a Mechanistically Based Biogeochemistry Model.
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- Journal of Geophysical Research. Biogeosciences, 2020, v. 125, n. 6, p. 1, doi. 10.1029/2019JG005428
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Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data.
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- ISPRS International Journal of Geo-Information, 2021, v. 10, n. 4, p. 230, doi. 10.3390/ijgi10040230
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TRENDS IN CONTEMPORARY ECONOMIC FORECASTING.
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- Dialogue (1311-9206), 2014, n. 2, p. 30
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Global trends in grassland carrying capacity and relative stocking density of livestock.
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- Global Change Biology, 2022, v. 28, n. 12, p. 3902, doi. 10.1111/gcb.16174
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Commentary: The myth of cognitive agency: subpersonal thinking as a cyclically recurring loss of mental autonomy.
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- Frontiers in Psychology, 2018, p. N.PAG, doi. 10.3389/fpsyg.2018.01401
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Do For-Profit Managers Spend Less on Schools and Instruction? A National Analysis of Charter School Staffing Expenditures.
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- Educational Policy, 2018, v. 32, n. 6, p. 855, doi. 10.1177/0895904816681525
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In silico Prediction of Aqueous Solubility: a Comparative Study of Local and Global Predictive Models.
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- Molecular Informatics, 2015, v. 34, n. 6/7, p. 417, doi. 10.1002/minf.201400144
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Influence of Terrestrial Nitrogen Dynamics on Mesoscale Near‐Surface Meteorological Fields.
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- Journal of Geophysical Research. Atmospheres, 2024, v. 129, n. 14, p. 1, doi. 10.1029/2023JD040168
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The Inter‐Model Uncertainty of Projected Precipitation Change in Northern China: The Modulating Role of North Atlantic Sea Surface Temperature.
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- Journal of Geophysical Research. Atmospheres, 2024, v. 129, n. 12, p. 1, doi. 10.1029/2024JD040932
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