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Caracterización socio productiva de los sistemas cafetaleros, parroquia El Anegado cantón Jipijapa-Ecuador.
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- UNESUM-Ciencias, 2023, v. 7, n. 3, p. 76, doi. 10.47230/unesum-ciencias.v7.n3.2023.76-85
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LA VINCULACIÓN CON LA SOCIEDAD DE LA UNESUM Y SU APORTE EN LOS ESCENARIOS CAFETALEROS DE JIPIJAPA, PERIODO 2016 - 2018.
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- UNESUM-Ciencias, 2021, v. 5, n. 5, p. 1, doi. 10.47230/unesum-ciencias.v5.n5.2021.586
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Towards a cross-domain interoperable framework for natural hazards and disaster risk reduction information.
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- Natural Hazards, 2015, v. 78, n. 3, p. 1545, doi. 10.1007/s11069-015-1786-7
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The influence of cross-equatorial pressure gradients on the location of near-equatorial convection.
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- Quarterly Journal of the Royal Meteorological Society, 1999, v. 125, n. 556, p. 1107, doi. 10.1002/qj.1999.49712555603
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The role of inertial instability in determining the location and strength of near-equatorial convection.
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- Quarterly Journal of the Royal Meteorological Society, 1997, v. 123, n. 542, p. 1445, doi. 10.1002/qj.49712354202
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Calendar effects on surface air temperature and precipitation based on model-ensemble equilibrium and transient simulations from PMIP4 and PACMEDY.
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- Climate of the Past Discussions, 2021, p. 1, doi. 10.5194/cp-2021-163
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From Spatial Data Infrastructures to Data Spaces—A Technological Perspective on the Evolution of European SDIs.
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- ISPRS International Journal of Geo-Information, 2020, v. 9, n. 3, p. 176, doi. 10.3390/ijgi9030176
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Deglacial variability of South China hydroclimate heavily contributed by autumn rainfall.
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- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-26106-0
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Antarctic climate response in Last-Interglacial simulations using the Community Earth System Model (CESM2).
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- Climate of the Past Discussions, 2024, p. 1, doi. 10.5194/cp-2024-19
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- Article
Reduced ENSO variability at the LGM revealed by an isotope-enabled Earth system model.
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- Geophysical Research Letters, 2017, v. 44, n. 13, p. 6984, doi. 10.1002/2017GL073406
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Does ocean coupling matter for the northern extratropical response to projected Arctic sea ice loss?
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- Geophysical Research Letters, 2016, v. 43, n. 5, p. 2149, doi. 10.1002/2016GL067792
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- Article
Equatorial signatures of the Pacific Meridional Modes: Dependence on mean climate state.
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- Geophysical Research Letters, 2014, v. 41, n. 2, p. 568, doi. 10.1002/2013GL058842
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Accelerated Arctic land warming and permafrost degradation during rapid sea ice loss.
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- Geophysical Research Letters, 2008, v. 35, n. 11, p. n/a, doi. 10.1029/2008GL033985
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Fibroblast Activation Protein Expressing Mesenchymal Cells Promote Glioblastoma Angiogenesis.
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- Cancers, 2021, v. 13, n. 13, p. 3304, doi. 10.3390/cancers13133304
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Revisiting AMOC Transport Estimates From Observations and Models.
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- Geophysical Research Letters, 2021, v. 48, n. 10, p. 1, doi. 10.1029/2021GL093045
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Global Coupled Climate Response to Polar Sea Ice Loss: Evaluating the Effectiveness of Different Ice‐Constraining Approaches.
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- Geophysical Research Letters, 2020, v. 47, n. 3, p. 1, doi. 10.1029/2019GL085788
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Fast Response of the Tropics to an Abrupt Loss of Arctic Sea Ice via Ocean Dynamics.
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- Geophysical Research Letters, 2018, v. 45, n. 9, p. 4264, doi. 10.1029/2018GL077325
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A new synoptic scale resolving global climate simulation using the Community Earth System Model.
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- Journal of Advances in Modeling Earth Systems, 2014, v. 6, n. 4, p. 1065, doi. 10.1002/2014MS000363
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Horizontal and vertical structure of cross-equatorial wave propagation.
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- Journal of the Atmospheric Sciences, 1994, v. 51, n. 11, p. 1417, doi. 10.1175/1520-0469(1994)051<1417:HAVSOC>2.0.CO;2
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The Role of Ocean Heat Transport in the Global Climate Response to Projected Arctic Sea Ice Loss.
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- Journal of Climate, 2016, v. 29, n. 19, p. 6841, doi. 10.1175/JCLI-D-15-0651.1
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- Article
Mechanisms of Stratospheric and Tropospheric Circulation Response to Projected Arctic Sea Ice Loss*.
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- Journal of Climate, 2015, v. 28, n. 19, p. 7824, doi. 10.1175/JCLI-D-15-0169.1
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The Role of Ocean-Atmosphere Coupling in the Zonal-Mean Atmospheric Response to Arctic Sea Ice Loss.
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- Journal of Climate, 2015, v. 28, n. 6, p. 2168, doi. 10.1175/JCLI-D-14-00325.1
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Can Southern Ocean Eddy Effects Be Parameterized in Climate Models?
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- Journal of Climate, 2014, v. 27, n. 1, p. 411, doi. 10.1175/JCLI-D-12-00759.1
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The Atmospheric Response to Three Decades of Observed Arctic Sea Ice Loss.
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- Journal of Climate, 2013, v. 26, n. 4, p. 1230, doi. 10.1175/JCLI-D-12-00063.1
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ENSO and Pacific Decadal Variability in the Community Climate System Model Version 4.
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- Journal of Climate, 2012, v. 25, n. 8, p. 2622, doi. 10.1175/JCLI-D-11-00301.1
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Climatological Characteristics of Arctic and Antarctic Surface-Based Inversions<sup>**</sup>.
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- Journal of Climate, 2011, v. 24, n. 19, p. 5167, doi. 10.1175/2011JCLI4004.1
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Arctic Inversion Strength in Climate Models.
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- Journal of Climate, 2011, v. 24, n. 17, p. 4733, doi. 10.1175/2011JCLI3968.1
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The Atmospheric Response to Projected Terrestrial Snow Changes in the Late Twenty-First Century.
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- Journal of Climate, 2010, v. 23, n. 23, p. 6430, doi. 10.1175/2010JCLI3899.1
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Frontal Scale Air--Sea Interaction in High-Resolution Coupled Climate Models.
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- Journal of Climate, 2010, v. 23, n. 23, p. 6277, doi. 10.1175/2010JCLI3665.1
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The Seasonal Atmospheric Response to Projected Arctic Sea Ice Loss in the Late Twenty-First Century.
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- Journal of Climate, 2010, v. 23, n. 2, p. 333, doi. 10.1175/2009JCLI3053.1
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The Transient Atmospheric Circulation Response to North Atlantic SST and Sea Ice Anomalies.
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- Journal of Climate, 2007, v. 20, n. 18, p. 4751, doi. 10.1175/JCLI4278.1
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Climate Sensitivity of Moderate- and Low-Resolution Versions of CCSM3 to Preindustrial Forcings.
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- Journal of Climate, 2006, v. 19, n. 11, p. 2567, doi. 10.1175/JCLI3754.1
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Last Glacial Maximum and Holocene Climate in CCSM3.
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- Journal of Climate, 2006, v. 19, n. 11, p. 2526, doi. 10.1175/JCLI3748.1
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Intraventricular and lumbar intrathecal administration of antibiotics in postneurosurgical patients with meningitis and/or ventriculitis in a serious clinical state.
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- Journal of Neurosurgery, 2013, v. 119, n. 6, p. 1596, doi. 10.3171/2013.6.JNS122126
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Storm track response to ocean fronts in a global high-resolution climate model.
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- Climate Dynamics, 2014, v. 43, n. 3/4, p. 805, doi. 10.1007/s00382-013-1980-9
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Atmospheric impacts of Arctic sea-ice loss, 1979-2009: separating forced change from atmospheric internal variability.
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- Climate Dynamics, 2014, v. 43, n. 1/2, p. 333, doi. 10.1007/s00382-013-1830-9
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Impact of ocean model resolution on CCSM climate simulations.
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- Climate Dynamics, 2012, v. 39, n. 6, p. 1303, doi. 10.1007/s00382-012-1500-3
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Atmospheric forcing of Fram Strait sea ice export: a closer look.
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- Climate Dynamics, 2010, v. 35, n. 7/8, p. 1349, doi. 10.1007/s00382-009-0647-z
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- Article
Retreat and Regrowth of the Greenland Ice Sheet During the Last Interglacial as Simulated by the CESM2‐CISM2 Coupled Climate–Ice Sheet Model.
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- Paleoceanography & Paleoclimatology, 2021, v. 36, n. 12, p. 1, doi. 10.1029/2021PA004272
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A Comparison of the CMIP6 midHolocene and lig127k Simulations in CESM2.
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- Paleoceanography & Paleoclimatology, 2020, v. 35, n. 11, p. 1, doi. 10.1029/2020PA003957
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Antarctic Warming during Heinrich Stadial 1 in a Transient Isotope-Enabled Deglacial Simulation.
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- Journal of Climate, 2022, v. 35, n. 22, p. 3753, doi. 10.1175/JCLI-D-22-0094.1
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What Drives Upper-Ocean Temperature Variability in Coupled Climate Models and Observations?
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- Journal of Climate, 2020, v. 33, n. 2, p. 577, doi. 10.1175/JCLI-D-19-0295.1
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Air–Sea Turbulent Heat Fluxes in Climate Models and Observational Analyses: What Drives Their Variability?
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- Journal of Climate, 2019, v. 32, n. 8, p. 2397, doi. 10.1175/JCLI-D-18-0576.1
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Scale Dependence of Midlatitude Air-Sea Interaction.
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- Journal of Climate, 2017, v. 30, n. 20, p. 8207, doi. 10.1175/JCLI-D-17-0159.1
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- Article
Calendar effects on surface air temperature and precipitation based on model-ensemble equilibrium and transient simulations from PMIP4 and PACMEDY.
- Published in:
- Climate of the Past, 2022, v. 18, n. 5, p. 1047, doi. 10.5194/cp-18-1047-2022
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- Article