Evidence of possible sea‐ice influence on Microwave Sounding Unit tropospheric temperature trends in polar regions
- 22 October 2003
- journal article
- Published by American Geophysical Union (AGU) in Geophysical Research Letters
- Vol. 30 (20)
- https://doi.org/10.1029/2003gl017938
Abstract
Spencer and Christy have analyzed data derived from the Microwave Sounding Unit (MSU) series of satellite instruments to assess climate change. This report presents data which suggests a source of error in their MSU/AMSU TLT product. A comparison of data for high latitudes in the Southern Hemisphere demonstrate that the TLT product does not represent the seasonal cycle of temperature in the lower troposphere, as seen in radiosonde data from Antarctica. The difference appears to be the result of the yearly sea‐ice cycle, thus trends in the sea‐ice cycle may impact the TLT product. The Arctic data could also be influenced. These observations question of the validity of the TLT product as a measure of climate change at high latitudes.This publication has 20 references indexed in Scilit:
- A rapidly declining perennial sea ice cover in the ArcticGeophysical Research Letters, 2002
- Breaking Up Is Far Too EasyScience, 2002
- Devil in the DetailScience, 2001
- Global warming: Evidence from satellite observationsGeophysical Research Letters, 2000
- Interpreting Differential Temperature Trends at the Surface and in the Lower TroposphereScience, 2000
- Analysis of the Merging Procedure for the MSU Daily Temperature Time SeriesJournal of Climate, 1998
- Comparisons between the microwave sounding unit temperature record and the surface temperature record from 1979 to 1996: Real differences or potential discontinuities?Journal of Geophysical Research: Atmospheres, 1997
- Observed Hemispheric Asymmetry in Global Sea Ice ChangesScience, 1997
- Passive microwave algorithms for sea ice concentration: A comparison of two techniquesRemote Sensing of Environment, 1997
- Extraction of winter total sea-ice concentration in the Greenland and Barents Seas from SSM/I dataInternational Journal of Remote Sensing, 1996