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Transient coupled ensemble climate simulations to study changes in the probability of extreme events
This article discusses first results of a large ensemble of climate simulations using the NCAR CC...
FM Selten, M Kliphuis, H Dijkstra | Journal: CLIVAR Exchanges | Volume: 28 | Year: 2003 | First page: 11 | Last page: 13
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Monotone trends in the distribution of climate extremes
The generalized Pareto distribution (GPD) is often used in the statistical analysis of climate ex...
M Roth, G Jongbloed, TA Buishand | Status: published | Journal: Theor. Appl. Climatol. | Volume: 136 | Year: 2019 | First page: 1175 | Last page: 1184 | doi: 10.1007/s00704-018-2546-x
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THE EARTHCARE SATELLITE: The next step forward in global measurements of clouds, aerosols, precipitation and radiation.
The collective representation within global models of aerosol, cloud, precipitation, and their ra...
IJ Illingworth, HW Barker, A Beljaars, M Ceccaldi, H Chepfer, J Cole, J Delanoë, C Domenech, DP Donovan, S Fukuda, M Hirakata, RJ Hogan, A Huenerbein, P Kollias, GJ van Zadelhoff | Status: published | Journal: Bull. Amer. Meteor. Soc. | Year: 2014 | doi: 10.1175/BAMS-D-12-00227.1
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On High and Extreme Wind Calibration Using ASCAT
Accurate high and extreme sea surface wind observations are essential for the meteorological, oce...
Federica Polverari, Marcos Portabella, Wenming Lin, Joseph W Sapp, Ad Stoffelen, Zorana Jelenak, Paul S Chang
| Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2021 | doi: https://doi.org/10.1109/TGRS.2021.3079898
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Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET
This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm f...
A Chaikovsky, O Dubovik, B Holben, A Bril, P Goulob, D Tanre, G Pappalardo, U Wandinger, L Chaikovskaya, S Denisov, J Gurdo, A Lopatin, Y Karol, A Apituley, V Amiridis | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2016 | doi: 10.5194/amt-9-1181-2016
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