Climate Change Observation Accuracy: Requirements and Economic ValueThis presentation will summarize a new quantitative approach to determining the required accuracy for climate change observations. Using this metric, most current global satellite observations struggle to meet this accuracy level. CLARREO (Climate Absolute Radiance and Refractivity Observatory) is a new satellite mission designed to resolve this challenge is by achieving advances of a factor of 10 for reflected solar spectra and a factor of 3 to 5 for thermal infrared spectra. The CLARREO spectrometers can serve as SI traceable benchmarks for the Global Satellite Intercalibration System (GSICS) and greatly improve the utility of a wide range of LEO and GEO infrared and reflected solar satellite sensors for climate change observations (e.g. CERES, MODIS, VIIIRS, CrIS, IASI, Landsat, etc). A CLARREO Pathfinder mission for flight on the International Space Station is included in the U.S. Presidentâ€"TM"s fiscal year 2016 budget, with launch in 2019 or 2020. Providing more accurate decadal change trends can in turn lead to more rapid narrowing of key climate science uncertainties such as cloud feedback and climate sensitivity. A new study has been carried out to quantify the economic benefits of such an advance and concludes that the economic value is ~ $9 Trillion U.S. dollars. The new value includes the cost of carbon emissions reductions.
Document ID
20160009164
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Wielicki, Bruce (NASA Langley Research Center Hampton, VA, United States)
Cooke, Roger (Resources for the Future, Inc. Baltimore, MD, United States)
Golub, Alexander (Resources for the Future, Inc. Baltimore, MD, United States)
Baize, Rosemary (NASA Langley Research Center Hampton, VA, United States)
Mlynczak, Martin (NASA Langley Research Center Hampton, VA, United States)
Lukashin, Constantin (NASA Langley Research Center Hampton, VA, United States)
Thome, Kurt (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Shea, Yolanda (NASA Langley Research Center Hampton, VA, United States)
Kopp, Greg (Colorado Univ. Boulder, CO, United States)
Pilewskie, Peter (Colorado Univ. Boulder, CO, United States)
Revercomb, Henry (Wisconsin Univ. Madison, WI, United States)
Best, Fred (Wisconsin Univ. Madison, WI, United States)
Date Acquired
July 20, 2016
Publication Date
April 7, 2016
Subject Category
Economics And Cost AnalysisMeteorology And Climatology