Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-859-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-859-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Model description paper
 | 
31 Jan 2022
Model description paper |  | 31 Jan 2022

MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models

Robert Schweppe, Stephan Thober, Sebastian Müller, Matthias Kelbling, Rohini Kumar, Sabine Attinger, and Luis Samaniego

Supplement

https://doi.org/10.5194/gmd-15-859-2022-supplement

Data sets

SoilGrids1km - Global Soil Information Based on Automated Mapping T. Hengl, J. M. de Jesus, R. A. MacMillan, N. H. Batjes, G. B. M. Heuvelink, E. Ribeiro, et al. https://doi.org/10.1371/journal.pone.0105992

SoilGrids250m: Global gridded soil information based on machine learning T. Hengl, J. Mendes de Jesus, G. B. M. Heuvelink, M. Ruiperez Gonzalez, M. Kilibarda, A. Blagotić, W. Shangguan, M. N. Wright, X. Geng, B. Bauer-Marschallinger, M. A. Guevara, R. Vargas, R. A. MacMillan, N. H. Batjes, J. G. B. Leenaars, E. Ribeiro, I. Wheeler, S. Mantel, and B. Kempen, https://doi.org/10.1371/journal.pone.0169748

New generation of hydraulic pedotransfer functions for Europe B. Tóth, M. Weynants, A. Nemes, A. Makó,G. Bilas, and G. Tóth https://doi.org/10.1111/ejss.12192

ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000--2001 M. Friedl, A. Strahler, and J. Hodges https://doi.org/10.3334/ORNLDAAC/968

NLDAS Primary Forcing Data L4 Hourly 0.125 x 0.125 degree Y. Xia and NCEP/EMC https://doi.org/10.5067/6j5lhhohzhn4

IFS Documentation CY46R1 ECMWF https://doi.org/10.24381/cds.bd0915c6

Model code and software

Multiscale Parameter Regionalization tool -MPR v. 1.0 Robert Schweppe, Stephan Thober, Sebastian Müller, Matthias Kelbling, Rohini Kumar, Sabine Attinger, and Luis Samaniego https://doi.org/10.5281/zenodo.4650513

marshallward/f90nml Marshall Ward, HoWol76, Reno, James Penn, Daniel S. Katz, jenssss, Huziy Oleksandr, Martin Dix, Dalon Work, naught101, Andrew Kiss, barpaum, Maik Riechert, Michael Lamparski, Pascal Hebbeker, and Warrick Ball https://doi.org/10.5281/zenodo.4768748

FORD Christopher MacMackin https://doi.org/10.5281/zenodo.1422473

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Short summary
The recently released multiscale parameter regionalization (MPR) tool enables environmental modelers to efficiently use extensive datasets for model setups. It flexibly ingests the datasets using user-defined data–parameter relationships and rescales parameter fields to given model resolutions. Modern land surface models especially benefit from MPR through increased transparency and flexibility in modeling decisions. Thus, MPR empowers more sound and robust simulations of the Earth system.
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