Online Katalog der GeoSphere Austria (Standort Neulinggasse)

Home

Login

Katalogkarte GBA

Katalogkarte ISBD

Suche präzisieren

Drucken

Download RIS

Zum vorherigen Treffer

Datensatz 1 von 1

Zum nächsten Treffer


Titel	Geoscientific Model Development ; 4, no. 3
Erscheinungsjahr	2011
Medientyp	Stücktitel
ISSN	1991-959X
Erschienen	In: Geoscientific Model Development (GMD) ; Nr. 4, no. 3 (2011)
Datensatznummer	93826


Teil von
Geoscientific Model Development (GMD)


Teil(e)
The HadGEM2-ES implementation of CMIP5 centennial simulations \| C. D. Jones Pliocene Model Intercomparison Project (PlioMIP): experimental design and boundary conditions (Experiment 2) \| A. M. Haywood Evaluation of ice and snow content in the global numerical weather prediction model GME with CloudSat \| S. Reitter Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011 \| J. Mandel Influence of the compiler on multi-CPU performance of WRFv3 \| T. Langkamp The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning \| C. Wiedinmyer Review of effective emissions modeling and computation \| R. Paoli LANL*V2.0: global modeling and validation \| J. Koller The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes \| M. J. Best The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics \| D. B. Clark The HadGEM2 family of Met Office Unified Model climate configurations \| G. M. Martin A pragmatic approach for the downscaling and bias correction of regional climate simulations: evaluation in hydrological modeling \| T. Marke The Atmosphere-Ocean General Circulation Model EMAC-MPIOM \| A. Pozzer iGen 0.1: a program for the automated generation of models and parameterisations \| D. F. Tang iGen 0.1: the automated generation of a parameterisation of entrainment in marine stratocumulus \| D. F. Tang The global middle-atmosphere aerosol model MAECHAM5-SAM2: comparison with satellite and in-situ observations \| R. Hommel FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm \| P. Hanappe