Joint Observation Estimates of XCO2Localized, correlated biases exist in OCO-2 (Orbiting Carbon Observatory-2) data. These biases do not improve with averaging. These have been noted by O'Dell (various OCO-2 telecons), Worden (2017), Kulawik (2018). We propose to utilize information from adjacent observations to reduce this bias. This works on the assumption that grouping the observations allows the system to find a better, global minimum. Pooling adjacent observations could allow more accurate characterization of interferents (e.g. retrieving additional albedo parameters), reducing entanglement with CO2.
Document ID
20180007462
Acquisition Source
Ames Research Center
Document Type
Abstract
Authors
Kulawik, Susan S. (Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Worden, John R. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Eldering, Annmarie (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
McDuffie, James L. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
November 5, 2018
Publication Date
October 23, 2018
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
ARC-E-DAA-TN62449
Meeting Information
Meeting: OCO-2 (Orbiting Carbon Observatory-2) Science Team Meeting
Location: Boulder, CO
Country: United States
Start Date: October 23, 2018
End Date: October 25, 2018
Sponsors: National Center for Atmospheric Research