The infrastructure MESSy submodels GRID (v1.0) and IMPORT (v1.0)

Abstract. The coupling of Earth system model components, which work on different grids, into an Earth System Model (ESM) provokes the necessity to transfer data from one grid to another. Additionally, each of these model components might require data import onto its specific grid. Usually, one of two approaches is used: Either all input data is preprocessed to the employed grid, or the imported data is interpolated on-line, i.e. during model integration to the required grid. For the former, each change in the model resolution requires the re-preprocessing of all data. The latter option implies that in each model integration computing time is required for the grid mapping. If all components of an ESM use only one single point of import and the same mapping software, only one software package needs to be changed for code optimisation, inclusion of additional interpolation methods or the implementation of new data formats. As the Modular Earth Submodel System (MESSy) is mainly used for research purposes which require frequent changes of the model setup including the model resolution or the application of different sets of input data (e.g., different emission scenarios), the idea of a common procedure for data import was implemented in MESSy in form of the infrastructure submodel IMPORT. Currently, IMPORT consists of two submodels: IMPORT_TS for reading and processing abstract time series data and IMPORT_GRID, utilising the infrastructure submodel GRID which provides procedures for grid transformations using the remapping software packages NREGRID (Jöckel, 2006) and SCRIP (Jones, 1999). Grid information is stored in a standardised structure as geo-hybrid grids. Based on this unified definition a standardised interface for the grid transformations is provided, thus simplifying the implemention of grid transformations in the model code. This article describes the main functionalities of the two MESSy infrastructure submodels GRID and IMPORT. The Supplement of this article contains stand-alone tools of both IMPORT subsubmodels, IMPORT_TS and IMPORT_GRID. Their handling is explained in detail in the IMPORT User Manual which is also part of the Supplement.

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Earth System Music: the methodology and reach of music generated from the United Kingdom Earth System Model

10.5194/gc-2019-28 ◽

2020 ◽

Author(s):

Lee de Mora ◽

Alistair A. Sellar ◽

Andrew Yool ◽

Julien Palmieri ◽

Robin S. Smith ◽

...

Keyword(s):

United Kingdom ◽

Time Series Data ◽

Climate Science ◽

Practical Aspect ◽

Scientific Data ◽

Earth System Model ◽

System Model ◽

Series Data ◽

Earth System ◽

Science Outreach

Abstract. Scientific data is almost always represented graphically either in figures or in videos. With the ever-growing interest from the general public towards understanding climate science, it is becoming increasingly important that we present this information in ways accessible to non-experts. In this pilot study, we use time series data from the first United Kingdom Earth System model (UKESM1) to create six procedurally generated musical pieces and use them to test whether we can use music to engage with the wider community. Each of these pieces is based around a unique part of UKESM1's ocean component model, either in terms of a scientific principle or a practical aspect of modelling. In addition, each piece is arranged using a different musical progression, style and tempo. These pieces were performed by the digital piano synthesizer, TiMidity++, and were published on the lead author's YouTube channel. The videos all show the time progression of the data in time with the music and a brief description of the methodology is posted below the video. To disseminate these works, a link to each piece was published on the lead authors personal and professional social media accounts. The reach of these works was analysed using YouTube's channel monitoring toolkit for content creators, YouTube studio. In the first ninety days after the first video was published, the six pieces reached at least 251 unique viewers, and have 553 total views. We found that most of the views occurred in the fourteen days immediately after each video was published. In effect, once the concept had been demonstrated to an audience, there was reduced enthusiasm from that audience to return to it immediately. This suggests that to use music effectively as an science outreach tool, the works needs to reach new audiences or new and unique content needs to be delivered to a returning audience.

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Earth system music: music generated from the United Kingdom Earth System Model (UKESM1)

Geoscience Communication ◽

10.5194/gc-3-263-2020 ◽

2020 ◽

Vol 3 (2) ◽

pp. 263-278 ◽

Cited By ~ 1

Author(s):

Lee de Mora ◽

Alistair A. Sellar ◽

Andrew Yool ◽

Julien Palmieri ◽

Robin S. Smith ◽

...

Keyword(s):

United Kingdom ◽

Pilot Study ◽

Time Series Data ◽

Musical Instrument ◽

Practical Aspect ◽

Scientific Data ◽

Earth System Model ◽

System Model ◽

Series Data ◽

Earth System

Abstract. Scientific data are almost always represented graphically in figures or in videos. With the ever-growing interest from the general public in understanding climate sciences, it is becoming increasingly important that scientists present this information in ways that are both accessible and engaging to non-experts. In this pilot study, we use time series data from the first United Kingdom Earth System Model (UKESM1) to create six procedurally generated musical pieces. Each of these pieces presents a unique aspect of the ocean component of the UKESM1, either in terms of a scientific principle or a practical aspect of modelling. In addition, each piece is arranged using a different musical progression, style and tempo. These pieces were created in the Musical Instrument Digital Interface (MIDI) format and then performed by a digital piano synthesiser. An associated video showing the time development of the data in time with the music was also created. The music and video were published on the lead author's YouTube channel. A brief description of the methodology was also posted alongside the video. We also discuss the limitations of this pilot study and describe several approaches to extend and expand upon this work.

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Earth System Music: music generated from the first United Kingdom Earth System model

10.5194/egusphere-egu2020-7267 ◽

2020 ◽

Author(s):

Lee de Mora ◽

Alistair Sellar ◽

Andrew Yool ◽

Julien Palmieri ◽

Robin S. Smith ◽

...

Keyword(s):

United Kingdom ◽

Time Series Data ◽

Scientific Data ◽

Earth System Model ◽

System Model ◽

Series Data ◽

Historical Period ◽

System Modelling ◽

Earth System ◽

Model Data

With the ever-growing interest from the general public towards understanding climate science, it is becoming increasingly important that we present this information in ways accessible to non-experts. In this pilot study, we use time series data from the first United Kingdom Earth System model (UKESM1) to create six procedurally generated musical pieces and use them to explain the process of modelling the earth system and to engage with the wider community.&#160;Scientific data is almost always represented graphically either in figures or in videos. By adding audio to the visualisation of model data, the combination of music and imagery provides additional contextual clues to aid in the interpretation. Furthermore, the audiolisation of model data can be employed to generate interesting and captivating music, which can not&#160; only reach a wider audience, but also hold the attention of the listeners for extended periods of time.Each of the six pieces presented in this work was themed around either a scientific principle or a practical aspect of earth system modelling. These pieces demonstrate the concepts of a spin up, a pre-industrial control run, multiple historical experiments, and the use of several future climate scenarios to a wider audience. They also show the ocean acidification over the historical period, the changes in circulation, the natural variability of the pre-industrial simulations, and the expected rise in sea surface temperature over the 20th century.&#160;Each of these pieces were arranged using different musical progression, style and tempo. All six pieces were performed by the digital piano synthesizer, TiMidity++, and were published on the lead author's YouTube channel. The videos all show the progression of the data in time with the music and a brief description of the methodology is posted alongside the video.&#160;To disseminate these works, links to each piece were published on the lead author's personal and professional social media accounts. The reach of these works was also analysed using YouTube's channel monitoring toolkit for content creators, YouTube studio.

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Review of gmd-2020-245-manuscript-version3 “Evaluation and climate sensitivity of the PlaSim v.17 Earth System Model coupled with ocean model components of different complexity” by Michela Angeloni, Elisa Palazzi, and Jost von Hardenberg

10.5194/gmd-2020-245-rc1 ◽

2021 ◽

Author(s):

Anonymous

Keyword(s):

Climate Sensitivity ◽

Ocean Model ◽

Earth System Model ◽

System Model ◽

Earth System ◽

Model Components

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Multidecadal preconditioning of the Maud Rise polynya region

Ocean Science ◽

10.5194/os-16-1443-2020 ◽

2020 ◽

Vol 16 (6) ◽

pp. 1443-1457

Author(s):

René M. van Westen ◽

Henk A. Dijkstra

Keyword(s):

High Resolution ◽

Southern Ocean ◽

Large Scale ◽

Heat Content ◽

Earth System Model ◽

System Model ◽

Earth System ◽

Model Resolution ◽

Community Earth System Model ◽

Maud Rise

Abstract. In this paper, we consider Maud Rise polynya formation in a long (250-year) high-resolution (ocean 0.1∘, atmosphere 0.5∘ horizontal model resolution) of the Community Earth System Model. We find a dominant multidecadal timescale in the occurrence of these Maud Rise polynyas. Analysis of the results leads us to the interpretation that a preferred timescale can be induced by the variability of the Weddell Gyre, previously identified as the Southern Ocean Mode. The large-scale pattern of heat content variability associated with the Southern Ocean Mode modifies the stratification in the Maud Rise region and leads to a preferred timescale in convection through preconditioning of the subsurface density and consequently to polynya formation.

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