PyIRTAM: A New Module of PyIRI for IRTAM Coefficients
Abstract A novel model called PyIRI was recently developed. It constructs the ionospheric electron density for the entire day and on the entire global grid in one computation, which has a very low computational overhead. PyIRI introduced a novel approach to the computation of the global and diurnal...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | Space Weather |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024SW003965 |
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| _version_ | 1832575420500803584 |
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| author | Victoriya V. Forsythe Ivan Galkin Sarah E. McDonald Kenneth F. Dymond Bruce A. Fritz Angeline G. Burrell Katherine A. Zawdie Douglas P. Drob |
| author_facet | Victoriya V. Forsythe Ivan Galkin Sarah E. McDonald Kenneth F. Dymond Bruce A. Fritz Angeline G. Burrell Katherine A. Zawdie Douglas P. Drob |
| author_sort | Victoriya V. Forsythe |
| collection | DOAJ |
| description | Abstract A novel model called PyIRI was recently developed. It constructs the ionospheric electron density for the entire day and on the entire global grid in one computation, which has a very low computational overhead. PyIRI introduced a novel approach to the computation of the global and diurnal functions and their matrix multiplication with Consultative Committee on International Radio (CCIR) coefficients or the International Union of Radio Science (URSI) coefficients, that enabled this global approach for the density specification. Since the International Reference Ionosphere‐based Real‐Time Assimilative Model (IRTAM) produces coefficients in a similar format as CCIR/URSI coefficients, the PyIRI computational approach was extended to work with IRTAM coefficients. This technical note describes the PyIRTAM software and provides usage examples. The PyIRTAM tool is made publicly available through PyPI and GitHub. |
| format | Article |
| id | doaj-art-4e817b9408634992a55d46237b7bf8d5 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-4e817b9408634992a55d46237b7bf8d52025-02-01T08:10:32ZengWileySpace Weather1542-73902024-12-012212n/an/a10.1029/2024SW003965PyIRTAM: A New Module of PyIRI for IRTAM CoefficientsVictoriya V. Forsythe0Ivan Galkin1Sarah E. McDonald2Kenneth F. Dymond3Bruce A. Fritz4Angeline G. Burrell5Katherine A. Zawdie6Douglas P. Drob7U.S. Naval Research Laboratory Washington DC USASpace Science Laboratory University of Massachusetts Lowell Lowell MA USAU.S. Naval Research Laboratory Washington DC USAU.S. Naval Research Laboratory Washington DC USAU.S. Naval Research Laboratory Washington DC USAU.S. Naval Research Laboratory Washington DC USAU.S. Naval Research Laboratory Washington DC USAU.S. Naval Research Laboratory Washington DC USAAbstract A novel model called PyIRI was recently developed. It constructs the ionospheric electron density for the entire day and on the entire global grid in one computation, which has a very low computational overhead. PyIRI introduced a novel approach to the computation of the global and diurnal functions and their matrix multiplication with Consultative Committee on International Radio (CCIR) coefficients or the International Union of Radio Science (URSI) coefficients, that enabled this global approach for the density specification. Since the International Reference Ionosphere‐based Real‐Time Assimilative Model (IRTAM) produces coefficients in a similar format as CCIR/URSI coefficients, the PyIRI computational approach was extended to work with IRTAM coefficients. This technical note describes the PyIRTAM software and provides usage examples. The PyIRTAM tool is made publicly available through PyPI and GitHub.https://doi.org/10.1029/2024SW003965ionospheremodelingdata assimilationpythonIRIIRTAM |
| spellingShingle | Victoriya V. Forsythe Ivan Galkin Sarah E. McDonald Kenneth F. Dymond Bruce A. Fritz Angeline G. Burrell Katherine A. Zawdie Douglas P. Drob PyIRTAM: A New Module of PyIRI for IRTAM Coefficients Space Weather ionosphere modeling data assimilation python IRI IRTAM |
| title | PyIRTAM: A New Module of PyIRI for IRTAM Coefficients |
| title_full | PyIRTAM: A New Module of PyIRI for IRTAM Coefficients |
| title_fullStr | PyIRTAM: A New Module of PyIRI for IRTAM Coefficients |
| title_full_unstemmed | PyIRTAM: A New Module of PyIRI for IRTAM Coefficients |
| title_short | PyIRTAM: A New Module of PyIRI for IRTAM Coefficients |
| title_sort | pyirtam a new module of pyiri for irtam coefficients |
| topic | ionosphere modeling data assimilation python IRI IRTAM |
| url | https://doi.org/10.1029/2024SW003965 |
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