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Titel	Geoscientific Model Development ; 8, no. 4
Erscheinungsjahr	2015
Medientyp	Stücktitel
ISSN	1991-959X
Erschienen	In: Geoscientific Model Development (GMD) ; Nr. 8, no. 4 (2015)
Datensatznummer	116380


Teil von
Geoscientific Model Development (GMD)


Teil(e)
A simple object-oriented and open-source model for scientific and policy analyses of the global climate system – Hector v1.0 \| C. A. Hartin Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation \| C. W. Tessum Tropospheric chemistry in the Integrated Forecasting System of ECMWF \| J. Flemming libmpdata++ 1.0: a library of parallel MPDATA solvers for systems of generalised transport equations \| A. Jaruga An approach to enhance pnetCDF performance in environmental modeling applications \| D. C. Wong Dynamic model evaluation for secondary inorganic aerosol and its precursors over Europe between 1990 and 2009 \| S. Banzhaf Crop physiology calibration in the CLM \| I. Bilionis Technical challenges and solutions in representing lakes when using WRF in downscaling applications \| M. S. Mallard Modelling climate change responses in tropical forests: similar productivity estimates across five models, but different mechanisms and responses \| L. Rowland The Secondary Organic Aerosol Processor (SOAP v1.0) model: a unified model with different ranges of complexity based on the molecular surrogate approach \| F. Couvidat JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator \| T. Osborne IGCM4: a fast, parallel and flexible intermediate climate model \| M. Joshi Normal-mode function representation of global 3-D data sets: open-access software for the atmospheric research community \| N. Žagar Albany/FELIX: a parallel, scalable and robust, finite element, first-order Stokes approximation ice sheet solver built for advanced analysis \| I. K. Tezaur The software architecture of climate models: a graphical comparison of CMIP5 and EMICAR5 configurations \| K. Alexander Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging \| S. Multsch NEMOTAM: tangent and adjoint models for the ocean modelling platform NEMO \| A. Vidard A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion \| J. Ray