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Filtre: Forfatter er Esau, Igor [Slett Alle Filtre]

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A

Alexeev, V.A., Esau, I., Polyakov, I.V., Byam, S.J. & Sorokina, S. Vertical structure of recent Arctic warming from observed data and reanalysis products. EOS Transactions 89, (2008).

Alexeev, V.A., Esau, I. & Polyakov, I.V. Looking for remote air temperature signal in the Arctic. EGU General ASsembly, 13-18 April, Vienna, Austria, Geophysical Research Abstracts, 10, EGU2008-A-10967 (2008).

Alexeev, V.A., Esau, I., Polyakov, I.V., Byam, S.J. & Sorokina, S. Vertical structure of recent arctic warming from observed data and reanalysis products. Climatic Change 111, (2012).

Alexeev, V.A., Esau, I., Polyakov, I.V., Byam, S.J. & Sorokina, S. Vertical structure of recent Arctic warming from observed data and reanalysis products. International Polar Year Science Conference (2010).

Alexeev, V.A., Esau, I., Polyakov, I.V., Byam, S.J. & Sorokina, S. Vertical structure of recent Arctic warming from observed data and reanalysis products. EGU General Assembly 11, (2009).

Artamonov, S., Shokurov, M. & Esau, I. Large eddy simulation of neutrally stratified planetary boundary layer. (2011).

B

Baklanov, A., mfl. MEGAPOLI: concept of multi-scale modelling of megacity impact on air quality and climate. Advances in Science & Research 4, (2010). Abstract

Beare, R.J., mfl. An intercomparison of large-eddy simulations of the stable boundary layer. Boundary-layer Meteorology 247-272 (2006).på <http://www.springerlink.com/(dmz3rfzou2ibgq2tmfx22vik)/app/home/journal.asp?referrer=parent&backto=browsepublicationsresults,320,2595;> Abstract

Bentamy, A., mfl. Review and assessment of latent and sensible heat flux accuracy over the global oceans. Remote Sensing of Environment 201, (2017).

Byrkjedal, O., Esau, I. & Kvamstø, N.G. Sensitivity of simulated wintertime Arctic atmosphere to vertical resolution in the ARPEGE/IFS model. Climate Dynamics 30, 687-701 (2008). Abstract

Byrkjedal, O., Esau, I. & Kvamstø, N.G. Sensitivity of simulated wintertime Arctic atmosphere to vertical resolution in the ARPEGE/IFS model. Open science conference Polar Dynamics: Monitoring, Understanding, and Prediction, August 29-31, Bergen, Norway (2007).

C

Canuto, V.M., Cheng, Y., Howard, A.M. & Esau, I. Stably Stratified Flows: A Model with No Ri(Cr)*. Journal of Atmospheric Sciences 65, 2437-2447 (2008).

Chernokulsky, A., mfl. Climatology and interannual variability of cloudiness in the Atlantic Arctic from surface observations since the late nineteenth century. Journal of Climate 30, (2017).

Chernokulsky, A., Esau, I. & Mokhov, I. Total cloudiness over the Arctic in winter: an intercomparison of different climatologies, an assessment of inter-annual variability and connection with surface air temperature. Geophysical Research Abstracts 15, (2013).

D

Davy, R. & Esau, I. Differences in the efficacy of climate forcings explained by variations in atmospheric boundary layer depth. Nature Communications 7, (2016).

Davy, R. & Esau, I. Surface air temperature changes in the high-latitude boundary layer. Report Series in Aerosol Science 180, (2016).

Davy, R., Esau, I. & Outten, S. Asymmetry of the surface air temperature response on climatologic heat imbalance due to differences in the planetary boundary layer height. Geophysical Research Abstracts 15, (2013).

Davy, R. & Esau, I. Global climate models' bias in surface temperature trends and variability. Environmental Research Letters 9, (2014).

Davy, R., Chernokulsky, A., Outten, S., Esau, I. & Zilitinkevich, S. Diurnal asymmetry to the observed global warming. International Journal of Climatology 37, (2016).

Davy, R. & Esau, I. Surface air temperature variability in global climate models. Atmospheric Science Letters 15, (2014). Abstract

E

Epchtein, N., Esau, I. & PLT team The Polar Large Telescope a Synoptic Survey of the Southern Sky in the infrared. (2011).på <http://www.sf2a.asso.fr/>

Esau, I. Simulation of Ekman boundary layers by large eddy model with dynamic mixed subfilter closure. Journal of Environmental Fluid Mechanics 4, 273-303 (2004). Abstract

Esau, I. Numerical experiments with assimilation of the mean and unresolved meteorological conditions into large-eddy simulation model. MEGAPOLI "Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation" project (2010).på <http://arxiv.org/abs/1002.1632> Abstract

Esau, I. On Application of Artificial Neural Network Methods in Large-eddy Simulations with Unresolved Urban Surfaces. Modern Applied Science 4, (2010). Abstract

Esau, I. Methods and Measurement Tools in PBL: On combination of artificial neural network and hydro-dynamic turbulence-resolving modelling for turbulent flows in urban environment. article published in ENEA special report issue on "ATMOSFERA" (2007).

Nansen Environmental and Remote Sensing Center	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies	Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India	Nansen–Zhu International Research Centre	Nansen-Tutu Centre for Marine Environmental Research