ASDC | DISCOVERAQ_Colorado_Model_Data

DISCOVER-AQ Level 4

Entry Title: DISCOVER-AQ Colorado Deployment Ancillary Model Data

Entry ID: DISCOVERAQ_Colorado_Model_Data_1

Field Campaigns

Description

DISCOVERAQ_Colorado_Model_Data contains ancillary model analysis collected during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study and features data from the WRF and RAQMS models. This data product contains data for only the Colorado deployment and data collection is complete.

Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.

DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).

The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

DOI

10.5067/ASDC/SUBORBITAL/DISCOVERAQ_Colorado_Model_Data_1

Citation Styles for this Dataset

Resources and Documentation

Earthdata Forum

PROJECT HOME PAGE

DISCOVER-AQ Project Home Page

NASA DISCOVER-AQ Mission Page

VIEW RELATED INFORMATION

DATA CITATION POLICY

How to Cite ASDC Data

GENERAL DOCUMENTATION

PUBLICATIONS

DISCOVER-AQ Earth Observatory Posts

DISCOVER-AQ News Releases

“Not Your Average Video Traffic Report” DISCOVER-AQ Earth Observatory Post

From GCMD Science Keywords:

METHANE > CARBON AND HYDROCARBON COMPOUNDS
TRACE GASES/TRACE SPECIES
CHLORINE NITRATE > HALOCARBONS AND HALOGENS
CARBON AND HYDROCARBON COMPOUNDS
HALOCARBONS AND HALOGENS
CARBON MONOXIDE
NITROGEN COMPOUNDS

Data Distribution

File Format(s):

NetCDF-3, ICARTT

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Spatial Information

Spatial Coverage: (S: 28, N: 48), (W: -111, E: -65)
Spatial Coverage Type: Horizontal Vertical
Coordinate System: Cartesian
Granule Spatial Representation: Cartesian

Locations

NORTH AMERICA UNITED STATES OF AMERICA COLORADO NORTHERN HEMISPHERE WESTERN HEMISPHERE TROPOSPHERE STRATOSPHERE

Temporal Information

Temporal Coverage: 2014-07-14 - 2014-08-27

Platforms

Models

MODELS

Computer

Data Analysis

Computer

Metadata Dates

Created on 2021-08-31

Last updated on 2024-04-25