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Tellus B: Chemical and Physical Meteorology Volume 62, 2010 - Issue 4

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Original Articles

A downscaling scheme for atmospheric variables to drive soil–vegetation–atmosphere transfer models

A. SchomburgMeteorological Institute University of Bonn, GermanyCorrespondence[email protected]

V. VenemaZMAW, University of Hamburg, Germany

R. LindauMeteorological Institute University of Bonn, Germany

F. AmentMeteorological Institute University of Bonn, Germany

C. SimmerMeteorological Institute University of Bonn, Germany

Pages 242-258 | Received 02 Dec 2009, Accepted 15 Jun 2010, Published online: 18 Jan 2017

Cite this article
https://doi.org/10.1111/j.1600-0889.2010.00466.x

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Articles from other publishers (20)

S. Poll, P. Shrestha & C. Simmer. (2021) Grid resolution dependency of land surface heterogeneity effects on boundary‐layer structure. Quarterly Journal of the Royal Meteorological Society 148:742, pages 141-158.
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Bernd Schalge, Gabriele Baroni, Barbara Haese, Daniel Erdal, Gernot Geppert, Pablo Saavedra, Vincent Haefliger, Harry Vereecken, Sabine Attinger, Harald Kunstmann, Olaf A. Cirpka, Felix Ament, Stefan Kollet, Insa Neuweiler, Harrie-Jan Hendricks Franssen & Clemens Simmer. (2021) Presentation and discussion of the high-resolution atmosphere–land-surface–subsurface simulation dataset of the simulated Neckar catchment for the period 2007–2015. Earth System Science Data 13:9, pages 4437-4464.
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Jing Tao & Ana P. Barros. (2018) Multi-year atmospheric forcing datasets for hydrologic modeling in regions of complex terrain – Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain. Journal of Hydrology 567, pages 824-842.
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Shaofeng Liu, Yaping Shao, Angela Kunoth & Clemens Simmer. (2017) Impact of surface-heterogeneity on atmosphere and land-surface interactions. Environmental Modelling & Software 88, pages 35-47.
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Tanja Zerenner, Victor Venema, Petra Friederichs & Clemens Simmer. (2017) Downscaling near-surface atmospheric fields with multi-objective genetic programming. Downscaling near-surface atmospheric fields with multi-objective genetic programming.

H. Vereecken, Y. Pachepsky, C. Simmer, J. Rihani, A. Kunoth, W. Korres, A. Graf, H.J.-Hendricks Franssen, Insa Thiele-Eich & Y. Shao. (2016) On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems. Journal of Hydrology 542, pages 63-86.
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Tanja Zerenner, Victor Venema, Petra Friederichs & Clemens Simmer. (2016) Downscaling near-surface atmospheric fields with multi-objective Genetic Programming. Environmental Modelling & Software 84, pages 85-98.
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Laura Poggio & Alessandro Gimona. (2015) Downscaling and correction of regional climate models outputs with a hybrid geostatistical approach. Spatial Statistics 14, pages 4-21.
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Clemens Simmer, Insa Thiele-Eich, Matthieu Masbou, Wulf Amelung, Heye Bogena, Susanne Crewell, Bernd Diekkrüger, Frank Ewert, Harrie-Jan Hendricks Franssen, Johan Alexander Huisman, Andreas Kemna, Norbert Klitzsch, Stefan Kollet, Matthias Langensiepen, Ulrich Löhnert, A. S. M. Mostaquimur Rahman, Uwe Rascher, Karl Schneider, Jan Schween, Yaping Shao, Prabhakar Shrestha, Maik Stiebler, Mauro Sulis, Jan Vanderborght, Harry Vereecken, Jan van der Kruk, Guido Waldhoff & Tanja Zerenner. (2015) Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil–Vegetation–Atmosphere System. Bulletin of the American Meteorological Society 96:10, pages 1765-1787.
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M. Rahman, M. Sulis & S.J. Kollet. (2015) The subsurface–land surface–atmosphere connection under convective conditions. Advances in Water Resources 83, pages 240-249.
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Andreas F. Prein, Wolfgang Langhans, Giorgia Fosser, Andrew Ferrone, Nikolina Ban, Klaus Goergen, Michael Keller, Merja Tölle, Oliver Gutjahr, Frauke Feser, Erwan Brisson, Stefan Kollet, Juerg Schmidli, Nicole P. M. Lipzig & Ruby Leung. (2015) A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges. Reviews of Geophysics 53:2, pages 323-361.
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Mauro Sulis, Matthias Langensiepen, Prabhakar Shrestha, Anke Schickling, Clemens Simmer & Stefan J. Kollet. (2015) Evaluating the Influence of Plant-Specific Physiological Parameterizations on the Partitioning of Land Surface Energy Fluxes. Journal of Hydrometeorology 16:2, pages 517-533.
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P. Shrestha, M. Sulis, M. Masbou, S. Kollet & C. Simmer. (2014) A Scale-Consistent Terrestrial Systems Modeling Platform Based on COSMO, CLM, and ParFlow. Monthly Weather Review 142:9, pages 3466-3483.
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Michael Hintz, Sabine Lennartz-Sassinek, Shaofeng Liu & Yaping Shao. (2014) Quantification of land-surface heterogeneity via entropy spectrum method. Journal of Geophysical Research: Atmospheres 119:14, pages 8764-8777.
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A. Schomburg, V. Venema, F. Ament & C. Simmer. (2012) Disaggregation of screen-level variables in a numerical weather prediction model with an explicit simulation of subgrid-scale land-surface heterogeneity. Meteorology and Atmospheric Physics 116:3-4, pages 81-94.
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Brendan P. Malone, Alex B. McBratney, Budiman Minasny & Ichsani Wheeler. (2012) A general method for downscaling earth resource information. Computers & Geosciences 41, pages 119-125.
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Katharina Lengfeld & Felix Ament. (2012) Observing Local-Scale Variability of Near-Surface Temperature and Humidity Using a Wireless Sensor Network. Journal of Applied Meteorology and Climatology 51:1, pages 30-41.
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Constanze Curdt, Dirk Hoffmeister, Christian Jekel, Sebastian Brocks, Guido Waldhoff & Georg Bareth. (2011) TR32DB — Management and visualization of heterogeneous scientific data. TR32DB — Management and visualization of heterogeneous scientific data.

B. Orlowsky & S. I. Seneviratne. (2011) Investigating spatial climate relations using CARTs: An application to persistent hot days in a multimodel ensemble. Journal of Geophysical Research 116:D14.
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H. Vereecken, S. Kollet & C. Simmer. (2010) Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modeling, and Data Assimilation. Vadose Zone Journal 9:4, pages 821-827.
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A downscaling scheme for atmospheric variables to drive soil–vegetation–atmosphere transfer models

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