Next Article in Journal
The Development of Boundary Layer Structure Index (BLSI) and Its Relationship with Ground Air Quality
Previous Article in Journal
Changes in Extreme Low Temperature Events over Northern China under 1.5 °C and 2.0 °C Warmer Future Scenarios
Previous Article in Special Issue
A Review of Ice Cloud Optical Property Models for Passive Satellite Remote Sensing
Open AccessArticle

A Geostationary Instrument Simulator for Aerosol Observing System Simulation Experiments

1
NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771, USA
2
Universities Space Research Association, 10211 Wincopin Circle #500, Columbia, MD 21044, USA
3
SSAI, Inc., 10210 Greenbelt Road, Suite 600, Lanham, MD 20706, USA
4
I.M. Systems Group Inc., 3206 Tower Oaks Blvd #300, Rockville, MD 20852, USA
5
NOAA/NESDIS Center for Satellite Applications and Research, 5825 University Research Court, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(1), 2; https://doi.org/10.3390/atmos10010002
Received: 5 November 2018 / Revised: 18 December 2018 / Accepted: 18 December 2018 / Published: 21 December 2018
(This article belongs to the Special Issue Radiative Transfer in the Earth Atmosphere)
In the near future, there will be several new instruments measuring atmospheric composition from geostationary orbit over North America, East Asia, and Europe. This constellation of satellites will provide high resolution, time resolved measurements of trace gases and aerosols for monitoring air quality and tracking pollution sources. This paper describes a detailed, fast, and accurate (less than 1.0% uncertainty) method for calculating synthetic top of the atmosphere (TOA) radiances from a global simulation with a mesoscale free running model, the GEOS-5 Nature Run, for remote sensing instruments in geostationary orbit that measure in the ultraviolet-visible spectral range (UV-Vis). Generating these synthetic observations is the first step of an Observing System Simulation Experiment (OSSE), a framework for evaluating the impact of a new observation or algorithm. This paper provides details of the model sampling, aerosol and cloud optical properties, surface reflectance modeling, Rayleigh scattering calculations, and a discussion of the uncertainties of the simulated TOA radiance. An application for the simulated TOA radiance observations is demonstrated in the manuscript. Simulated TEMPO (Tropospheric Emissions: Monitoring of Pollution) and GOES-R (Geostationary Operational Environmental Satellites) observations were used to show how observations from the two instruments could be combined to facilitate aerosol type discrimination. The results demonstrate the viability of a detailed instrument simulator for radiance measurements in the UV-Vis that is capable of accurately simulating high resolution, time-resolved measurements with reasonable computational efficiency. View Full-Text
Keywords: observing system simulation experiment; instrument simulator; radiative transfer observing system simulation experiment; instrument simulator; radiative transfer
Show Figures

Figure 1

MDPI and ACS Style

Castellanos, P.; Da Silva, A.M.; Darmenov, A.S.; Buchard, V.; Govindaraju, R.C.; Ciren, P.; Kondragunta, S. A Geostationary Instrument Simulator for Aerosol Observing System Simulation Experiments. Atmosphere 2019, 10, 2.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop