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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-179
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-179
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 09 Aug 2019

Submitted as: model description paper | 09 Aug 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

MetSim v2.0.0: A flexible and extensible framework for the estimation and disaggregation of meteorological data

Andrew R. Bennett1, Joseph J. Hamman2, and Bart Nijssen1 Andrew R. Bennett et al.
  • 1Department of Civil and Environmental Engineering, University of Washington
  • 2Climate and Global Dynamics Laboratory, National Center for Atmospheric Research

Abstract. MetSim is a freely available, open source Python based model for simulation and disaggregation of meteorological variables with applications in the environmental and Earth sciences. MetSim can be used to generate spatially distributed sub-daily timeseries of incoming shortwave radiation, outgoing longwave radiation, air pressure, specific humidity, relative humidity, vapor pressure, precipitation, and air temperature given daily timeseries of minimum temperature, maximum temperature, and precipitation. Based on previously developed algorithms, we demonstrate that MetSim is able to closely reproduce their results while providing a number of advantages and improvements. We implemented automated testing to decrease errors during development and to improve reproducibility, modularized the algorithms to allow for extensions and modifications, and implemented robust single and multi-node parallelism. We describe the overall architecture, algorithms, and capabilities of MetSim by describing its four major modules. These are split into a model driver, solar geometry module, meteorological simulation module, and temporal disaggregation module. We also describe the available options and parameters that MetSim exposes to its users and analyze MetSim's scalability for large datasets.

Andrew R. Bennett et al.
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Status: open (until 04 Oct 2019)
Status: open (until 04 Oct 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Andrew R. Bennett et al.
Model code and software

MetSim v2.0.0 A. Bennett, J. Hamman, B. Nijssen, E. Clark, K. Andreadis, T. Bohn, and K. Whitney https://doi.org/10.5281/zenodo.3247806

Andrew R. Bennett et al.
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Latest update: 17 Aug 2019
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Short summary
MetSim is a software package for simulating meteorologic processes, and aims to be applied in the environmental and Earth sciences. It can simulate processes such as solar and thermal radiation, specific humidity, and vapor pressure across large spatial areas in an efficient manner. This paper describes the software and analyzes it's ability to be used in large simulations. We describe how MetSim can be used and provide details on the various options that are available.
MetSim is a software package for simulating meteorologic processes, and aims to be applied in...
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