Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics

A large and ever-growing body of geophysical information is measured in campaigns and at specialized observatories as a part of scientific expeditions and experiments. These collections of observed data include many essential climate variables (as defined by the Global Climate Observing System) but...

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Main Authors: Uttal, Taneil, Hartten, Leslie M., Khalsa, Siri Jodha, Casati, Barbara, Svensson, Gunilla, Day, Jonathan, Holt, Jareth, Akish, Elena, Morris, Sara, O'Connor, Ewan, Pirazzini, Roberta, Huang, Laura X., Crawford, Robert, Mariani, Zen, Godøy, Øystein, Tjernström, Johanna A. K., Prakash, Giri, Hickmon, Nicki, Maturilli, Marion, Cox, Christopher J.
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-2413
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2413/
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spelling ftcopernicus:oai:publications.copernicus.org:egusphere115465 2024-09-09T19:27:16+00:00 Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics Uttal, Taneil Hartten, Leslie M. Khalsa, Siri Jodha Casati, Barbara Svensson, Gunilla Day, Jonathan Holt, Jareth Akish, Elena Morris, Sara O'Connor, Ewan Pirazzini, Roberta Huang, Laura X. Crawford, Robert Mariani, Zen Godøy, Øystein Tjernström, Johanna A. K. Prakash, Giri Hickmon, Nicki Maturilli, Marion Cox, Christopher J. 2024-07-08 application/pdf https://doi.org/10.5194/egusphere-2023-2413 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2413/ eng eng doi:10.5194/egusphere-2023-2413 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2413/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2023-2413 2024-08-28T05:24:15Z A large and ever-growing body of geophysical information is measured in campaigns and at specialized observatories as a part of scientific expeditions and experiments. These collections of observed data include many essential climate variables (as defined by the Global Climate Observing System) but are often distinguished by a wide range of additional non-routine measurements that are designed to not only document the state of the environment but also the drivers that contribute to that state. These field data are used not only to further understand environmental processes through observation-based studies but also to provide baseline data to test model performance and to codify understanding to improve predictive capabilities. To address the considerable barriers and difficulty in utilizing these diverse and complex data for observation–model research, the Merged Observatory Data File (MODF) concept has been developed. A MODF combines measurements from multiple instruments into a single file that complies with well-established data format and metadata practices and has been designed to parallel the development of corresponding Merged Model Data Files (MMDFs). Using the MODF and MMDF protocols will facilitate the evolution of model intercomparison projects into model intercomparison and improvement projects by putting observation and model data “on the same page” in a timely manner. The MODF concept was developed especially for weather forecast model studies in the Arctic. The surprisingly complex process of implementing MODFs in that context refined the concept itself. Thus, this article explains the concept of MODFs by providing details on the issues that were revealed and resolved during that first specific implementation. Detailed instructions are provided on how to make MODFs, and this article can be considered a MODF creation manual. Text Arctic Copernicus Publications: E-Journals Arctic
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description A large and ever-growing body of geophysical information is measured in campaigns and at specialized observatories as a part of scientific expeditions and experiments. These collections of observed data include many essential climate variables (as defined by the Global Climate Observing System) but are often distinguished by a wide range of additional non-routine measurements that are designed to not only document the state of the environment but also the drivers that contribute to that state. These field data are used not only to further understand environmental processes through observation-based studies but also to provide baseline data to test model performance and to codify understanding to improve predictive capabilities. To address the considerable barriers and difficulty in utilizing these diverse and complex data for observation–model research, the Merged Observatory Data File (MODF) concept has been developed. A MODF combines measurements from multiple instruments into a single file that complies with well-established data format and metadata practices and has been designed to parallel the development of corresponding Merged Model Data Files (MMDFs). Using the MODF and MMDF protocols will facilitate the evolution of model intercomparison projects into model intercomparison and improvement projects by putting observation and model data “on the same page” in a timely manner. The MODF concept was developed especially for weather forecast model studies in the Arctic. The surprisingly complex process of implementing MODFs in that context refined the concept itself. Thus, this article explains the concept of MODFs by providing details on the issues that were revealed and resolved during that first specific implementation. Detailed instructions are provided on how to make MODFs, and this article can be considered a MODF creation manual.
format Text
author Uttal, Taneil
Hartten, Leslie M.
Khalsa, Siri Jodha
Casati, Barbara
Svensson, Gunilla
Day, Jonathan
Holt, Jareth
Akish, Elena
Morris, Sara
O'Connor, Ewan
Pirazzini, Roberta
Huang, Laura X.
Crawford, Robert
Mariani, Zen
Godøy, Øystein
Tjernström, Johanna A. K.
Prakash, Giri
Hickmon, Nicki
Maturilli, Marion
Cox, Christopher J.
spellingShingle Uttal, Taneil
Hartten, Leslie M.
Khalsa, Siri Jodha
Casati, Barbara
Svensson, Gunilla
Day, Jonathan
Holt, Jareth
Akish, Elena
Morris, Sara
O'Connor, Ewan
Pirazzini, Roberta
Huang, Laura X.
Crawford, Robert
Mariani, Zen
Godøy, Øystein
Tjernström, Johanna A. K.
Prakash, Giri
Hickmon, Nicki
Maturilli, Marion
Cox, Christopher J.
Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics
author_facet Uttal, Taneil
Hartten, Leslie M.
Khalsa, Siri Jodha
Casati, Barbara
Svensson, Gunilla
Day, Jonathan
Holt, Jareth
Akish, Elena
Morris, Sara
O'Connor, Ewan
Pirazzini, Roberta
Huang, Laura X.
Crawford, Robert
Mariani, Zen
Godøy, Øystein
Tjernström, Johanna A. K.
Prakash, Giri
Hickmon, Nicki
Maturilli, Marion
Cox, Christopher J.
author_sort Uttal, Taneil
title Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics
title_short Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics
title_full Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics
title_fullStr Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics
title_full_unstemmed Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics
title_sort merged observatory data files (modfs): an integrated observational data product supporting process-oriented investigations and diagnostics
publishDate 2024
url https://doi.org/10.5194/egusphere-2023-2413
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2413/
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source eISSN:
op_relation doi:10.5194/egusphere-2023-2413
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2413/
op_doi https://doi.org/10.5194/egusphere-2023-2413
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