Works matching DE "CLOUD feedback"
Results: 81
Recent progress toward reducing the uncertainty in tropical low cloud feedback and climate sensitivity: a review.
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- Geoscience Letters, 2016, v. 3, n. 1, p. 1, doi. 10.1186/s40562-016-0053-4
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Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1.
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- Journal of Advances in Modeling Earth Systems, 2019, v. 11, n. 12, p. 4377, doi. 10.1029/2019MS001866
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Strong Dependence of Atmospheric Feedbacks on Mixed‐Phase Microphysics and Aerosol‐Cloud Interactions in HadGEM3.
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- Journal of Advances in Modeling Earth Systems, 2019, v. 11, n. 6, p. 1735, doi. 10.1029/2019MS001688
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Increase in Precipitation Efficiency With Surface Warming in Radiative‐Convective Equilibrium.
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- Journal of Advances in Modeling Earth Systems, 2018, v. 10, n. 11, p. 2992, doi. 10.1029/2018MS001482
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Low‐Cloud Feedback in CAM5‐CLUBB: Physical Mechanisms and Parameter Sensitivity Analysis.
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- Journal of Advances in Modeling Earth Systems, 2018, v. 10, n. 11, p. 2844, doi. 10.1029/2018MS001423
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Can We Use Single‐Column Models for Understanding the Boundary Layer Cloud‐Climate Feedback?
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- Journal of Advances in Modeling Earth Systems, 2018, v. 10, n. 2, p. 245, doi. 10.1002/2017MS001113
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Single-Column Model Simulations of Subtropical Marine Boundary-Layer Cloud Transitions Under Weakening Inversions.
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- Journal of Advances in Modeling Earth Systems, 2017, v. 9, n. 6, p. 2385, doi. 10.1002/2017MS001064
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Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model.
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- Journal of Advances in Modeling Earth Systems, 2017, v. 9, n. 8, p. 2883, doi. 10.1002/2017MS001111
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Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green's function approach.
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- Journal of Advances in Modeling Earth Systems, 2017, v. 9, n. 5, p. 2174, doi. 10.1002/2017MS001096
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Understanding the tropical cloud feedback from an analysis of the circulation and stability regimes simulated from an upgraded multiscale modeling framework.
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- Journal of Advances in Modeling Earth Systems, 2016, v. 8, n. 4, p. 1825, doi. 10.1002/2016MS000767
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Coupled radiative convective equilibrium simulations with explicit and parameterized convection.
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- Journal of Advances in Modeling Earth Systems, 2016, v. 8, n. 3, p. 1468, doi. 10.1002/2016MS000666
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Rotating radiative-convective equilibrium simulated by a cloud-resolving model.
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- Journal of Advances in Modeling Earth Systems, 2013, v. 5, n. 4, p. 816, doi. 10.1002/2013MS000253
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Does convective aggregation need to be represented in cumulus parameterizations?
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- Journal of Advances in Modeling Earth Systems, 2013, v. 5, n. 4, p. 692, doi. 10.1002/jame.20047
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CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models.
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- Journal of Advances in Modeling Earth Systems, 2013, v. 5, n. 4, p. 826, doi. 10.1002/2013MS000246
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Mechanisms and Model Diversity of Trade-Wind Shallow Cumulus Cloud Feedbacks: A Review.
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- Surveys in Geophysics, 2017, v. 38, n. 6, p. 1331, doi. 10.1007/s10712-017-9418-2
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Observational Constraints on Cloud Feedbacks: The Role of Active Satellite Sensors.
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- Surveys in Geophysics, 2017, v. 38, n. 6, p. 1483, doi. 10.1007/s10712-017-9452-0
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Cloud feedback mechanisms and their representation in global climate models.
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- WIREs: Climate Change, 2017, v. 8, n. 4, p. n/a, doi. 10.1002/wcc.465
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Net Cloud Thinning, Low-Level Cloud Diminishment, and Hadley Circulation Weakening of Precipitating Clouds with Tropical West Pacific SST Using MISR and Other Satellite and Reanalysis Data.
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- Remote Sensing, 2019, v. 11, n. 10, p. 1250, doi. 10.3390/rs11101250
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Cloud Microphysical Properties as Seen from Spaceborne Passive Multi-Spectral Imagers: Interpretation in Terms of Vertical and Horizontal Inhomogeneity by Using Modeling and Other Spaceborne Instruments.
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- Transactions of the Japan Society of Aeronautical & Space Sciences, Aerospace Technology Japan, 2014, v. 12, n. ists 29, p. 1
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Cloud Radiative Feedbacks during the ENSO Cycle Simulated by CAMS-CSM.
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- Journal of Meteorological Research, 2019, v. 33, n. 4, p. 666, doi. 10.1007/s13351-019-8104-3
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Parameter Modulation of Madden-Julian Oscillation Behaviors in BCC_CSM1.2: The Key Role of Moisture-Shallow Convection Feedback.
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- Atmosphere, 2019, v. 10, n. 5, p. 241, doi. 10.3390/atmos10050241
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Link between the Outgoing Longwave Radiation and the altitude where the space-borne lidar beam is fully attenuated.
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- Atmospheric Measurement Techniques Discussions, 2017, p. 1, doi. 10.5194/amt-2017-115
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Diurnal cycle of the dust instantaneous direct radiative forcing over the Arabian Peninsula.
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- Atmospheric Chemistry & Physics Discussions, 2015, v. 15, n. 12, p. 12301, doi. 10.5194/acpd-15-12301-2015
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Observational Evidence of State‐Dependent Positive and Negative Land Surface Feedback on Afternoon Deep Convection Over the Southern Great Plains.
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- Geophysical Research Letters, 2020, v. 47, n. 5, p. 1, doi. 10.1029/2019GL086622
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Quantifying the Cloud Particle‐Size Feedback in an Earth System Model.
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- Geophysical Research Letters, 2019, v. 46, n. 19, p. 10910, doi. 10.1029/2019GL083829
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Band‐by‐Band Contributions to the Longwave Cloud Radiative Feedbacks.
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- Geophysical Research Letters, 2019, v. 46, n. 12, p. 6998, doi. 10.1029/2019GL083466
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Role of cloud feedback in regulating the "pool of inhibited cloudiness" over the Bay of Bengal.
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- Meteorology & Atmospheric Physics, 2019, v. 131, n. 2, p. 183, doi. 10.1007/s00703-017-0560-7
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Quantifying the Terrestrial Carbon Feedback to Anthropogenic Carbon Emission.
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- Earth's Future, 2019, v. 7, n. 12, p. 1417, doi. 10.1029/2019EF001258
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Aerosol optical properties and radiative impacts in the Pearl River Delta region of China during the dry season.
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- Advances in Atmospheric Sciences, 2018, v. 35, n. 2, p. 195, doi. 10.1007/s00376-017-7092-4
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Modulation of Indian monsoon by water vapor and cloud feedback over the past 22,000 years.
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- Nature Communications, 2019, v. 10, n. 1, p. 1, doi. 10.1038/s41467-019-13754-6
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The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2.
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- Geoscientific Model Development, 2018, v. 11, n. 1, p. 77, doi. 10.5194/gmd-11-77-2018
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The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue - metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models.
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- Geoscientific Model Development, 2017, v. 10, n. 11, p. 4285, doi. 10.5194/gmd-10-4285-2017
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Implementation of aerosol-cloud interactions in the regional atmosphere-aerosol model COSMO-MUSCAT(5.0) and evaluation using satellite data.
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- Geoscientific Model Development, 2017, v. 10, n. 6, p. 2231, doi. 10.5194/gmd-10-2231-2017
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The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6.
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- Geoscientific Model Development, 2017, v. 10, n. 1, p. 359, doi. 10.5194/gmd-10-359-2017
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Advances in Geostationary-Derived Longwave Fluxes for the CERES Synoptic (SYN1deg) Product.
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- Journal of Atmospheric & Oceanic Technology, 2016, v. 33, n. 3, p. 503, doi. 10.1175/JTECH-D-15-0147.1
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Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations.
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- Atmospheric Chemistry & Physics Discussions, 2018, p. 1, doi. 10.5194/acp-2018-785
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The Top‐of‐Atmosphere, Surface and Atmospheric Cloud Radiative Kernels Based on ISCCP‐H Datasets: Method and Evaluation.
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- Journal of Geophysical Research. Atmospheres, 2021, v. 126, n. 24, p. 1, doi. 10.1029/2021JD035053
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The Role of Clouds and Surface Heat Fluxes in the Maintenance of the 2013–2016 Northeast Pacific Marine Heatwave.
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- Journal of Geophysical Research. Atmospheres, 2019, v. 124, n. 20, p. 10772, doi. 10.1029/2019JD030780
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When Will Spaceborne Cloud Radar Detect Upward Shifts in Cloud Heights?
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- Journal of Geophysical Research. Atmospheres, 2019, v. 124, n. 13, p. 7270, doi. 10.1029/2018JD030242
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The Radiative Feedback During the ENSO Cycle: Observations Versus Models.
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- Journal of Geophysical Research. Atmospheres, 2018, v. 123, n. 17, p. 9097, doi. 10.1029/2018JD028401
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Multi-parameter multi-physics ensemble ( MPMPE): a new approach exploring the uncertainties of climate sensitivity.
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- Atmospheric Science Letters (John Wiley & Sons, Inc. ), 2014, v. 15, n. 2, p. 97, doi. 10.1002/asl2.472
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HOW WILDFIRE SMOKE AFFECTS CLOUDS.
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- Bulletin of the American Meteorological Society, 2017, v. 98, n. 1, p. 14
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- Article
BVOC–aerosol–climate feedbacks investigated using NorESM.
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- Atmospheric Chemistry & Physics, 2019, v. 19, n. 7, p. 4763, doi. 10.5194/acp-19-4763-2019
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The two-way feedback mechanism between unfavorable meteorological conditions and cumulative aerosol pollution in various haze regions of China.
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- Atmospheric Chemistry & Physics, 2019, v. 19, n. 5, p. 3287, doi. 10.5194/acp-19-3287-2019
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Incorporation of inline warm-rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation.
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- Geoscientific Model Development Discussions, 2019, p. 1, doi. 10.5194/gmd-2019-104
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The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2 (COSP2).
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- Geoscientific Model Development Discussions, 2017, p. 1, doi. 10.5194/gmd-2017-148
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Equivalent sensor radiance generation and remote sensing from model parameters - Part 1: Equivalent sensor radiance formulation.
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- Geoscientific Model Development Discussions, 2013, v. 6, n. 3, p. 4105, doi. 10.5194/gmdd-6-4105-2013
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The Boreal Summer Madden–Julian Oscillation and Moist Convective Morphology over the Maritime Continent.
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- Journal of the Atmospheric Sciences, 2020, v. 77, n. 2, p. 647, doi. 10.1175/JAS-D-19-0029.1
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Reconciling Ground-Based and Space-Based Estimates of the Frequency of Occurrence and Radiative Effect of Clouds around Darwin, Australia.
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- Journal of Applied Meteorology & Climatology, 2014, v. 53, n. 2, p. 456, doi. 10.1175/JAMC-D-13-072.1
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Contributions of atmospheric and oceanic feedbacks to subtropical northeastern sea surface temperature variability.
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- Climate Dynamics, 2019, v. 53, n. 11, p. 6877, doi. 10.1007/s00382-019-04964-1
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