Search results

First 2394 results for ” Preusker”

1. Hot Arctic-Cold Continents: Global Impacts of Arctic Change

   International Polar Year Oslo Science Conference; Oslo, Norway, 8–12 June 2010; A warmer Arctic c...

   JE Overland, R Grand Graversen, M Honda | Status: published | Journal: EOS Transactions | Volume: 91 | Year: 2011 | First page: 373 | doi: 10.1029/2010EO410007

   Publication

2. A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm

   To retrieve aerosol properties from satellite measurements of the oxygen A-band in the near-infra...

   S Nanda, M de Graaf, JP Veefkind, M ter Linden, MC Sneep, JF de Haan, PF Levelt | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | First page: 6619 | Last page: 6634 | doi: 10.5194/amt-12-6619-2019

   Publication

3. Fifteen years of ocean observations with the global Argo array

   More than 90% of the heat energy accumulation in the climate system between 1971 and the present ...

   Stephen C. Riser, Howard J. Freeland, Dean Roemmich, Susan Wijffels, Ariel Troisi, Mathieu Belbeoch, Denis Gilbert, Jianping Xu, Sylvie Pouliquen, Ann Thresher, Pierre-Yves Le Traon, Guillaume Maze, Birgit Klein, M. Ravichandran, Fiona Grant, Pierre-Marie Poulain, Toshio Suga, Byunghwan Lim, Andreas Sterl, Philip Sutton, Kjell-Arne Mork, Pedro Joaquín Vélez-Belchí, Isabelle Ansorge, Brian King, Jon Turton, Molly Baringer, and Steve Jayne | Status: published | Journal: Nature Climate Change | Volume: 6 | Year: 2016 | First page: 145 | Last page: 153 | doi: 10.1038/nclimate2872

   Publication

4. Constraining the Moho depth below Bhutan with global-phase seismic interferometry

   We use a novel technique named global-phase seismic interferometry (GloPSI) to image the lithosph...

   Anne Obermann, Elmer Ruigrok, Irene Bianchi, György Hetényi | Journal: Front. Earth Sci. | Year: 2021 | doi: https://doi.org/10.3389/feart.2021.658146

   Publication

5. Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks

   Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...

   Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1

   Publication