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</script>mHM v5.10 (June 2019) New Features: New routing process introduced processCase(8) = 3 see Thober et al, 2019, GMDD, in press for more details mRM is decoupled from mHM and mRM now resides in deps/mrm as an independent submodule more information on handling submodules New option to compile mHM with cmake is provided, see more details under cmake manual. Visualization/animation R script (producing PDF and GIF) of mHM netcdf files included under post-proc animate1.R New option for coupling of mRM to a groundwater model (gw_coupling = .true.). The river head can be computed based on the Manning equation. Bugs resolved from release 5.9: Enable use of i8 for time_data in common/mo_read_forcing_nc.f90, otherwise netcdf time stamps with initial dates prior to 1900 were wrong (due to overflow) Known bugs: Adaptive routing does not allow to run without at least 1 gauge specification Incompatibility of Finalparam.nml format between Intel and GNU Restrictions: For gfortran compilers mHM supports only v4.8 and higher. If you wish to use features connected to ground albedo neutrons (processCase(9)), please contact Martin Schrön.
{"references": ["Samaniego L., R. Kumar, S. Attinger (2010): Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resour. Res., 46,W05523, doi:10.1029/2008WR007327, http://onlinelibrary.wiley.com/doi/10.1029/2008WR007327/abstract", "Kumar, R., L. Samaniego, and S. Attinger (2013): Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations, Water Resour. Res., 49, doi:10.1029/2012WR012195, http://onlinelibrary.wiley.com/doi/10.1029/2012WR012195/abstract"]}
multiscale parameter regionalization, seamless predictions, mesoscale hydrological model
multiscale parameter regionalization, seamless predictions, mesoscale hydrological model
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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