ASDC | DSCOVR_EPIC_L2_O3SO2AI

DSCOVR Level 2

Entry Title: DSCOVR EPIC L2 Ozone (O3), Sulfur Dioxide (SO2) Aerosol Index (AI) with Epic L1B V03 Input, Version 2

Entry ID: DSCOVR_EPIC_L2_O3SO2AI_02

Clouds Radiation Budget

Description

Robust cloud products are critical for the Deep Space Climate Observatory (DSCOVR) to contribute significantly to climate studies. Building on our team’s track record in cloud detection, cloud property retrieval, oxygen band exploitation, and DSCOVR-related studies, we propose to develop a suite of algorithms for generating the operational Earth Polychromatic Imaging Camera (EPIC) cloud mask, cloud height, and cloud optical thickness products. Multichannel observations will be used for cloud masking; the cloud height will be developed with information from the oxygen A- and B- band pairs (780 nm vs. 779.5 nm and 680 nm vs. 687.75 nm); for the cloud optical thickness retrieval, we propose an approach that combines the EPIC 680 nm observations and numerical weather model outputs. Preliminary results from radiative transfer modeling and proxy data applications show that the proposed algorithms are viable.

Product validation will be conducted by comparing EPIC observations/retrievals with counterparts from coexisting Low Earth Orbit (LEO) and Geosynchronous Earth Orbit (GEO) satellites. The proposed work will include a rigorous uncertainty analysis based on theoretical and computational radiative transfer modeling that complements standard validation activities with physics-based diagnostics. We also plan to evaluate and improve the calibration of the EPIC O2 A- and B-band absorption channels by tracking the instrument performance over known targets, such as cloud-free ocean and ice sheet surfaces.

The deliverables for the proposed work include an Algorithm Theoretical Basis Document (ATBD) for peer review, products generated with the proposed algorithms, and supporting research articles. The data products, archived at the Atmospheric Science Data Center (ASDC) at the NASA Langley Research Center, will provide essential inputs needed for the community to apply EPIC observations to climate research and better interpret The National Institute of Standards and Technology Advanced Radiometer (NISTAR) observations.

The proposed work directly responds to the solicitation to “develop and implement the necessary algorithms and processes to enable various data products from EPIC sunrise to sunset observations once on orbit” and improve “the calibration of EPIC based on in-flight data.”

DOI

10.5067/EPIC/DSCOVR/L2_O3SO2AI.002

Citation Styles for this Dataset

Resources and Documentation

Earthdata Forum

GOTO WEB TOOL

DSCOVR EPIC Visualization Tool

PROJECT HOME PAGE

VIEW RELATED INFORMATION

ALGORITHM DOCUMENTATION

DATA CITATION POLICY

How to cite ASDC data

GENERAL DOCUMENTATION

EPIC Cloud Product Description

INSTRUMENT/SENSOR CALIBRATION DOCUMENTATION

DSCOVR Earth Science Instrument Overview
EPIC level 1 A & B Calibration factors table

PROCESSING HISTORY

From GCMD Science Keywords:

SULFUR COMPOUNDS
ATMOSPHERIC CHEMISTRY
CLOUD FRACTION > CLOUD PROPERTIES
ALBEDO
AIR QUALITY
OXYGEN COMPOUNDS
SULFUR DIOXIDE > SULFUR COMPOUNDS
ATMOSPHERIC OZONE > OXYGEN COMPOUNDS

Data Distribution

File Format(s):

HDF5

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Spatial Information

Spatial Coverage: (S: -90, N: 90), (W: -180, E: 180)
Spatial Coverage Type: Not provided
Coordinate System: Cartesian
Granule Spatial Representation: Cartesian

Locations

GLOBAL

Temporal Information

Temporal Coverage: 2015-06-13 - Present

Platforms

Solar/Space Observation Satellites

DSCOVR

Deep Space Climate Observatory

EPIC

Earth Polychromatic Imaging Camera

Metadata Dates

Created on 2019-09-13

Last updated on 2023-08-16