ASDC | KORUSAQ_Model_Data

KORUS-AQ Level 4

Entry Title: KORUS-AQ Ancillary Model Data Products

Entry ID: KORUSAQ_Model_Data_1

Field Campaigns

Description

KORUSAQ_Model_Data features ancillary model data products for the KORUS-AQ field campaign. This product features output from the WRF model, CAM-chem, model inter-comparisons, and GEOS-chem models. Data collection for this product is complete.

The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments.

Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok.

The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.

DOI

10.5067/ASDC/SUBORBITAL/KORUSAQ_Model_Data_1

Citation Styles for this Dataset

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DATA CITATION POLICY

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PUBLICATIONS

Article, Airborne Expedition Tackles Global Air Quality Problem

Article, The Future of Monitoring Air Quality from Space

Earth Expeditions Tagged Posts

KORUS-AQ CNN Article

KORUS-AQ CNN Photo Release

KORUS-AQ Rapid Science Synthesis Report

KORUS-AQ White Paper Outlining NASA’s contribution

KORUS-AQ White Paper outlining Korea’s contribution (the Megacity Air Pollution Study [MAPS] - Seoul)

From GCMD Science Keywords:

NITROGEN OXIDES > NITROGEN COMPOUNDS
SULFUR DIOXIDE > SULFUR COMPOUNDS
NITROGEN DIOXIDE > NITROGEN COMPOUNDS
ATMOSPHERIC OZONE > OXYGEN COMPOUNDS
ATMOSPHERIC CHEMISTRY
VOLATILE ORGANIC COMPOUNDS
PHOTOLYSIS RATES > PHOTOCHEMISTRY

Data Distribution

File Format(s):

NetCDF-4, ICARTT

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Spatial Information

Spatial Coverage: (S: 25, N: 67), (W: -180, E: 180)
Spatial Coverage Type: Horizontal Vertical
Coordinate System: Cartesian
Granule Spatial Representation: Cartesian

Locations

ASIA EASTERN ASIA SOUTH KOREA EASTERN HEMISPHERE NORTHERN HEMISPHERE PACIFIC OCEAN STRATOSPHERE TROPOSPHERE

Temporal Information

Temporal Coverage: 2016-04-30 - 2016-06-11

Platforms

Models

CAM-chem

Community Atmosphere Model with Chemistry

WRF

Weather Research and Forecasting (WRF) Model

GEOS-Chem

Global 3-D chemical transport model (CTM) for atmospheric composition driven by meteorological input from the Goddard > Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office

FLEXPART

FLEXible PARTicle dispersion model

Metadata Dates

Created on 2021-06-11

Last updated on 2023-03-02