<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

NAQPMS-PDAF v2.0

Name: NAQPMS-PDAF v2.0
Keywords: Data assimilation, PDAF v2.1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Mar 2024Publisher:Zenodo

Authors: Li, Hongyi; Yang, Ting; Wang, Haibo;

doi: 10.5281/zenodo.10886914 , 10.5281/zenodo.10886913

NAQPMS-PDAF v2.0

- Summary
- Subjects
- Metrics

Abstract

NAQPMS-PDAF v2.0 is an online-coupled hybrid nonlinear chemical data assimilation system that can accurately interpret aerosols and their chemical components (such as sulfate, nitrite, ammonium, organic carbon, and elemental carbon). NAQPMS-PDAF v2.0 mainly consists of a chemistry transport model (NAQPMS) and an open-access parallel data assimilation framework (PDAF, https://pdaf.awi.de/trac/wiki). Source code provides the core routines in NAQPMS-PDAF v2.0.

File description a. naqpms-pdaf v2.0.rar contains the core routines in NAQPMS-PDAF v2.0. b. naqpms-pdaf v2.0 output.zip provides the chemical component assimilation output by NAQPMS-PDAF v2.0. c. reanalysis data.zip provides the global reanalysis data (CAMSRA and MERRA-2) and NAQPMS-PDAF v1.0 output. d. observations.zip provides chemical component observations at 33 sites. e. samples.zip provides the statistical results of assimilation experiments.

Related Organizations

Chinese Academy of Sciences
China (People's Republic of)
Institute of Atmospheric Physics
China (People's Republic of)

Keywords

Data assimilation, PDAF v2.1

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Average