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mesoscale Hydrologic Model

Authors: Luis Samaniego; Maren Kaluza; Rohini Kumar; Oldrich Rakovec; Lennart Schüler; Robert Schweppe; Pallav Kumar Shrestha; +2 Authors
Abstract

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"]}

Keywords

multiscale parameter regionalization, seamless predictions, mesoscale hydrological model

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
6
Top 10%
Average
Top 10%
41