Seven Plus Years of GOSAT XCO2 from the OCO-2 Algorithm
Abstract
The Orbiting Carbon Observatory 2 (OCO-2) project has processed over seven years of JAXA/NIES/MOE Greenhouse Gases Observing SATellite (GOSAT) spectra using the OCO-2 v7 algorithm to produce total column CO2 (XCO2) and associated diagnostic values. Understanding any possible errors in the data is essential to its use in carbon cycle science. To help characterize the XCO2 product and its errors we examine the temporal and spatial characteristics of the XCO2 using the recommended filtering and bias correction. Regional (using TRANSCOM spatial bins) and monthly averages of XCO2 are compared to the previous version of GOSAT XCO2 (v3.5) as well as the current OCO-2 XCO2 where these data sets overlap. Temporal and spatial differences in XCO2 are quantified. Various algorithmic diagnostics, such as aerosol optical depths, retrieved surface pressure, are examined to help separate differences and determine if they can be ascribed to instrument or algorithmic differences.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.A41F0117F
- Keywords:
-
- 3305 Climate change and variability;
- ATMOSPHERIC PROCESSESDE: 3337 Global climate models;
- ATMOSPHERIC PROCESSESDE: 3339 Ocean/atmosphere interactions;
- ATMOSPHERIC PROCESSESDE: 3360 Remote sensing;
- ATMOSPHERIC PROCESSES