Ensemble Land Surface Modeling at JPL

Joshua B. Fisher, NASA JPL, jbfisher@jpl.nasa.gov (Presenter)
Gary Block, NASA JPL, gary.l.block@jpl.nasa.gov
Alexandre Guillaume, NASA JPL, alexandre.guillaume@jpl.nasa.gov
Graeme Stephens, NASA JPL, graeme.stephens@jpl.nasa.gov
Charles Miller, NASA JPL, charles.e.miller@nasa.gov
Jung-Eun Lee, NASA JPL, jung-eun.lee@jpl.nasa.gov
Stephen Sitch, University of Exeter, s.a.sitch@exeter.ac.uk
Philippe Ciais, LSCE, philippe.ciais@cea.fr
Yingping Wang, CSIRO, yingping.wang@csiro.au

We describe here a multi-modeling capability being built at JPL with terrestrial ecosystem / land surface models (LSMs). Currently, four LSMs run parallelized simultaneously on JPL’s supercomputer (Cosmos): CLM, JULES, ORCHIDEE, and CABLE. These models represent the major land components of larger coupled climate models for the US/NCAR, UK/Hadley Centre, France/IPSL, and Australia/CSIRO, respectively. We have additional code for more than a dozen other LSMs, which are being continuously added to the system. A front-end has been built to ingest common forcing data, which currently include data from NASA/GMAO MERRA and from the NASA-funded MsTMIP project. A back-end has been built to export model quantities in common output formats and units. Current applications for the system include quantifying model uncertainty in evapotranspiration against dedicated remote sensing-based products, presenting the inter-model range for CO2 (and, where available, CH4) estimates for Alaska (e.g., CARVE), and developing links to NASA’s Carbon Monitoring System (CMS) flux pilot project. Proposals are underway for further uses of the system, and we are open to collaborative proposals and projects that use the capabilities.

Presentation: 2011_Poster_Fisher_24_36.pdf (5025k)

Presentation Type:  Poster

Session:  Coupled Processes at Land-Atmosphere-Ocean Interfaces   (Mon 4:00 PM)

Associated Project(s): 

• Michalak, Anna: The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project ...details
• Miller, Chip: Improving Carbon Source/Sink Estimates Using Atmospheric CO2 Vertical Profile Constraints ...details

Poster Location ID: 24