Dataset: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 10#

Dataset identifier: esacci.GHG.satellite-orbit-frequency.L2.CO2.OCO.OCO-2.FOCAL.v10.r1
Data store: cciodp

How to open this dataset in AVL JupyterLab  ⧉

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.GHG.satellite-orbit-frequency.L2.CO2.OCO.OCO-2.FOCAL.v10.r1')

Bounding box map#

Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter	Value
Bounding box longitude (°)	-180.0 to 180.0
Bounding box latitude (°)	-90.0 to 90.0
Time range	2014-09-06 to 2021-03-31

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Full dataset metadata#

Field	Value
ecv	GHG
institute	Institute of Environmental Physics
processing_level	L2
product_string	FOCAL
product_version	v10
data_type	CO2
sensor_id	OCO
platform_id	OCO-2
abstract	This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (XCO2), using the fast atmospheric trace gas retrieval for OCO2 (FOCAL-OCO2). The FOCAL-OCO2 algorithm which has been setup to retrieve XCO2 by analysing hyper spectral solar backscattered radiance measurements from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. FOCAL includes a radiative transfer model which has been developed to approximate light scattering effects by multiple scattering at an optically thin scattering layer. This reduces the computational costs by several orders of magnitude. FOCAL's radiative transfer model is utilised to simulate the radiance in all three OCO-2 spectral bands allowing the simultaneous retrieval of CO2, H2O, and solar induced chlorophyll fluorescence. The product is limited to cloud-free scenes on the Earth's day side. This dataset is also referred to as CO2_OC2_FOCA. This version of the data (v10) was produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg) and got co-funding from the Univ. Bremen and EU H2020 projects CHE (grant agreement no. 776186) and VERIFY (grant agreement no. 776810). When citing this data, please also cite the following peer-reviewed publications: M.Reuter, M.Buchwitz, O.Schneising, S.Noël, V.Rozanov, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup, Remote Sensing, 9(11), 1159; doi:10.3390/rs9111159, 2017 M.Reuter, M.Buchwitz, O.Schneising, S.Noël, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 2: Application to XCO2 Retrievals from OCO-2, Remote Sensing, 9(11), 1102; doi:10.3390/rs9111102, 2017
title	ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 10
publication_date	2022-12-22T17:20:27
uuid	070522ac6a5d4973a95c544beef714b4
catalog_url	https://catalogue.ceda.ac.uk/uuid/070522ac6a5d4973a95c544beef714b4
cci_project	GHG