Springtime UTLS ozone variability in East Asia: Insights from 16 years of IASI observations (2008â2023)
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| Resource Type | publication |
|---|---|
| Temporal Range Begin | N/A |
| Temporal Range End | N/A |
| Temporal Resolution | N/A |
| Bounding Box North Lat | N/A |
| Bounding Box South Lat | N/A |
| Bounding Box West Long | N/A |
| Bounding Box East Long | N/A |
| Spatial Representation | N/A |
| Spatial Resolution | N/A |
| Related Links |
Related Dataset #1 : MERRA-2 instM_2d_asm_Nx: 2d,Monthly mean,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4 |
| Additional Information | N/A |
| Resource Format |
PDF |
| Standardized Resource Format |
PDF |
| Asset Size | N/A |
| Legal Constraints |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
| Access Constraints |
None |
| Software Implementation Language | N/A |
| Resource Support Name | N/A |
|---|---|
| Resource Support Email | opensky@ucar.edu |
| Resource Support Organization |
UCAR/NCAR - Library |
| Distributor | |
| Metadata Contact Name | N/A |
| Metadata Contact Email | opensky@ucar.edu |
| Metadata Contact Organization |
UCAR/NCAR - Library |
| Author |
Kim, C. Kim, J. Park, J. Koo, J. |
|---|---|
| Publisher |
UCAR/NCAR - Library |
| Publication Date | 2025-06-28T00:00:00 |
| Digital Object Identifier (DOI) | Not Assigned |
| Alternate Identifier | N/A |
| Resource Version | N/A |
| Topic Category |
geoscientificInformation |
| Progress | N/A |
| Metadata Date | 2025-12-24T17:46:54.120806 |
| Metadata Record Identifier | edu.ucar.opensky::articles:43837 |
| Metadata Language | eng; USA |
| Suggested Citation | Kim, C., Kim, J., Park, J., Koo, J., Kwak, K., Boynard, A., Pan, Laura L., Clerbaux, C., Hurtmans, D., Coheur, P., Park, S. S.. (2025). Springtime UTLS ozone variability in East Asia: Insights from 16 years of IASI observations (2008â2023). UCAR/NCAR - Library. https://n2t.net/ark:/85065/d7c251vr. Accessed 23 March 2026. |
Harvest Source
- ISO-19139 ISO-19139 Metadata