Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5225-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5225-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
08 Jul 2024
Methods for assessment of models |
| 08 Jul 2024
| 08 Jul 2024
Merged Observatory Data Files (MODFs): an integrated observational data product supporting process-oriented investigations and diagnostics
Physical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
retired
Leslie M. Hartten
CORRESPONDING AUTHOR
Cooperative Institute for Research in the Environmental Sciences, Boulder, CO 80309, USA
Physical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
retired
Siri Jodha Khalsa
Cooperative Institute for Research in the Environmental Sciences, Boulder, CO 80309, USA
National Snow Ice and Data Center, Boulder, CO 80309, USA
Barbara Casati
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC H9P-1J3, Canada
Gunilla Svensson
Department of Meteorology and Bolin Centre for Climate Change, Stockholm University, 10691 Stockholm, Sweden
Jonathan Day
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, United Kingdom
Jareth Holt
Department of Meteorology and Bolin Centre for Climate Change, Stockholm University, 10691 Stockholm, Sweden
Elena Akish
Physical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Cooperative Institute for Research in the Environmental Sciences, Boulder, CO 80309, USA
Sara Morris
Physical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Ewan O'Connor
Finnish Meteorological Institute, 00101 Helsinki, Finland
Roberta Pirazzini
Finnish Meteorological Institute, 00101 Helsinki, Finland
Laura X. Huang
Meteorological Research Division, Environment and Climate Change Canada, Toronto, ON M3H-5T4, Canada
Robert Crawford
Meteorological Research Division, Environment and Climate Change Canada, Toronto, ON M3H-5T4, Canada
Zen Mariani
Meteorological Research Division, Environment and Climate Change Canada, Toronto, ON M3H-5T4, Canada
Øystein Godøy
Norwegian Meteorological Institute, 0313 Olso, Norway
Johanna A. K. Tjernström
Swedish Meteorological and Hydrological Institute, 60176 Norrköping, Sweden
Norwegian Meteorological Institute, 0313 Olso, Norway
Giri Prakash
Department of Energy, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
Nicki Hickmon
Department of Energy, Argonne National Laboratory, Lemont, IL 60439, USA
Marion Maturilli
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, Germany
Christopher J. Cox
Physical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Model code and software
The H-K Variable SchemaTable developed for the YOPPsiteMIP Leslie M. Hartten and Siri Jodha S. Khalsa https://doi.org/10.5281/zenodo.6463464
A-M Variable & Attribute Template Table developed for the YOPPsiteMIP Sara M. Morris and Elena Akish https://doi.org/10.5281/zenodo.6780400
Short summary
A Merged Observatory Data File (MODF) format to systematically collate complex atmosphere, ocean, and terrestrial data sets collected by multiple instruments during field campaigns is presented. The MODF format is also designed to be applied to model output data, yielding format-matching Merged Model Data Files (MMDFs). MODFs plus MMDFs will augment and accelerate the synergistic use of model results with observational data to increase understanding and predictive skill.
A Merged Observatory Data File (MODF) format to systematically collate complex atmosphere,...
