About: Mark D. Zelinka

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

American atmospheric scientist

Attributes	Values
rdf:type	Item
description	forskare (sv) 연구원 (ko) 研究者 (ja) wetenschapper (nl) дослідник (uk) эрдэмтэн (mn) वैज्ञानिक (hi) изилдөөчү (ky) 研究者 (zh) հետազոտող (hy) American atmospheric scientist (en)
rdfs:label	Mark D. Zelinka (en) Mark D. Zelinka (es) Mark D. Zelinka (nl) Mark D. Zelinka (ast)
skos:prefLabel	Mark D. Zelinka (en) Mark D. Zelinka (es) Mark D. Zelinka (nl) Mark D. Zelinka (ast)
name	Mark D. Zelinka (en) Mark D. Zelinka (es) Mark D. Zelinka (nl) Mark D. Zelinka (ast)
given name	wds:Q56501920-28312D80-C783-40F0-9AF6-12F85108CC5D
given name	Mark
instance of	wds:Q56501920-656C0EFA-3A4D-45D1-85E6-659E899A3282
instance of	Homo sapiens
award received	wds:Q56501920-9cded25b-497c-3019-0fb6-015defc8a7d1
award received	Henry G. Houghton Award
Loop ID	wds:Q56501920-E7F6F6AD-8801-40FD-B566-898A3D083D32
Loop ID	282828
skos:altLabel	Mark Zelinka (en)
occupation	wds:Q56501920-07F80C7A-BDFE-4A20-AB23-A87F4F213049 wds:Q56501920-15dda50f-425c-8d75-2412-a6c5f9bb9881
employer	wds:Q56501920-BFA35F93-22C1-403F-BFCF-99CEFEE2152C
sex or gender	wds:Q56501920-5F70A0B0-EE4C-4FED-90A4-CA69093CA3C2
country of citizenship	wds:Q56501920-7449288a-4e08-d2e1-5274-fb5aa993a840
educated at	wds:Q56501920-AF10A64E-4224-4675-BF26-4BD8E8BA746D
family name	wds:Q56501920-C6F5780D-EE03-4749-AD94-0378CDFDDD9C
occupation	researcher atmospheric scientist
employer	Lawrence Livermore National Laboratory
sex or gender	male
country of citizenship	United States of America
educated at	University of Washington
family name	Zelinka
ORCID iD	wds:Q56501920-AEDC23DC-D7A2-4650-B571-B6AB2AACE432
ORCID iD	https://orcid.org/0000-0002-6570-5445
ORCID iD	0000-0002-6570-5445
ResearcherID	wds:Q56501920-5F033800-C824-499A-9C26-753EDDA3ACB7
Publons author ID	wds:Q56501920-cba05d6c-2c13-4d62-832f-2d7f0b47ff1f
ResearcherID	C-4627-2011
Publons author ID	1327381
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56501920
is author of	Volcanic contribution to decadal changes in tropospheric temperature Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5* Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth Evidence for climate change in the satellite cloud record External Influences on Modeled and Observed Cloud Trends Response of Humidity and Clouds to Tropical Deep Convection The response of the Southern Hemispheric eddy-driven jet to future changes in shortwave radiation in CMIP5 Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels The observed sensitivity of high clouds to mean surface temperature anomalies in the tropics Quantifying the Sources of Intermodel Spread in Equilibrium Climate Sensitivity An Analysis of the Short-Term Cloud Feedback Using MODIS Data Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations 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 Impact of decadal cloud variations on the Earth’s energy budget The relationship between interannual and long-term cloud feedbacks Human influence on the seasonal cycle of tropospheric temperature Quantifying components of aerosol-cloud-radiation interactions in climate models Climate Feedbacks and Their Implications for Poleward Energy Flux Changes in a Warming Climate Why is longwave cloud feedback positive? On the relationships among cloud cover, mixed-phase partitioning, and planetary albedo in GCMs Observational constraints on mixed-phase clouds imply higher climate sensitivity The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere Positive low cloud and dust feedbacks amplify tropical North Atlantic Multidecadal Oscillation An observational radiative constraint on hydrologic cycle intensification Statistical significance of climate sensitivity predictors obtained by data mining Insights from a refined decomposition of cloud feedbacks Mixed-phase cloud physics and Southern Ocean cloud feedback in climate models Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator An assessment of Earth's climate sensitivity using multiple lines of evidence Competing influences of anthropogenic warming, ENSO, and plant physiology on future terrestrial aridity Observed multivariable signals of late 20th and early 21st century volcanic activity Cloud feedback mechanisms and their representation in global climate models Corrigendum: An observational radiative constraint on hydrologic cycle intensification Evaluating Emergent Constraints on Equilibrium Climate Sensitivity Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations Drivers of the Low-Cloud Response to Poleward Jet Shifts in the North Pacific in Observations and Models On the Emergent Constraints of Climate Sensitivity Sources of Intermodel Spread in the Lapse Rate and Water Vapor Feedbacks Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green's function approach Quantifying stochastic uncertainty in detection time of human-caused climate signals An underestimated negative cloud feedback from cloud lifetime changes Detailing cloud property feedbacks with a regime-based decomposition Greater committed warming after accounting for the pattern effect 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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