MEPS Data Assimilation System

Creators

Robert W. Schunk, Center for Atmospheric and Space Sciences, Utah State UniversityFollow
Larry Gardner, Center for Atmospheric and Space Sciences, Utah State UniversityFollow

Description

For the current funding opportunity we propose to develop a master system that will enhance the user interface to the MEPS model and enable the scientific community to efficiently use the model. Furthermore, we will build and automate validation tools and improve the efficiency and robustness of the MEPS ensemble averaging scheme. Finally, we will explore the nest step toward a major advancement in MEPS b significantly improving the spatial resolution of one of the data assimilation models to explore meso- and small-scale features.

OCLC

1143390734

Document Type

Dataset

DCMI Type

Dataset

File Format

.txt

Publication Date

11-20-2019

Funder

NASA, National Aeronautics and Space Administration

Publisher

Utah State University

Award Number

NASA, National Aeronautics and Space Administration 80NSSC19K0619

Award Title

Physical processes governing energy and momentum flows on multiple scales in near-Earth space using a first-principles based data assimilation system (DAS) for the global ionosphere-thermosphere electrodynamics

Methodology

Model output data for the time of interest in the paper. Six models outputs have been used, for which each is covered to a consistent grid, for ease in calculating the ensemble average.

Language

eng

Code Lists

See the README file.

Comments

Data file are 2D maps. 61 latitudes by 72 longitudes. Latitudes run from 60û north to 60û south in 2û increments. Longitudes start at 2.5û and runs to 357.5û in 5û steps. The data files are rows=longitudes, columns=latitudes.

See README for file naming schema.

The original dataset was publish 2020/11/19.

The following additional files were added 2020/08/10: en.txt.HM, en.txt.NM, en.txt.TEC, HMall.tar.gz, NMall.tar.gz, sigma.line.HM, sigma.line.NM, sigma.line.TEC, TECall.tar.gz

Disciplines

Astrophysics and Astronomy | Physics

License

This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

https://doi.org/10.26078/1pcb-ch87

Recommended Citation

Schunk, R. W., & Gardner, L. (2019). MEPS Data Assimilation System. Utah Satte University. https://doi.org/10.26078/1PCB-CH87

Checksum

17af0fc8636a59e37173f44f704c4d85