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contributor authorMears, Carl A.;Wentz, Frank J.
date accessioned2018-01-03T11:01:17Z
date available2018-01-03T11:01:17Z
date copyright6/26/2017 12:00:00 AM
date issued2017
identifier otherjcli-d-16-0768.1.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246138
description abstractAbstractTemperature sounding microwave radiometers flown on polar-orbiting weather satellites provide a long-term, global-scale record of upper-atmosphere temperatures, beginning in late 1978 and continuing to the present. The focus of this paper is a lower-tropospheric temperature product constructed using measurements made by the Microwave Sounding Unit channel 2 and the Advanced Microwave Sounding Unit channel 5. The temperature weighting functions for these channels peak in the middle to upper troposphere. By using a weighted average of measurements made at different Earth incidence angles, the effective weighting function can be lowered so that it peaks in the lower troposphere. Previous versions of this dataset used general circulation model output to remove the effects of drifting local measurement time on the measured temperatures. This paper presents a method to optimize these adjustments using information from the satellite measurements themselves. The new method finds a global-mean land diurnal cycle that peaks later in the afternoon, leading to improved agreement between measurements made by co-orbiting satellites. The changes result in global-scale warming [global trend (70°S?80°N, 1979?2016) = 0.174°C decade?1], ~30% larger than our previous version of the dataset [global trend (70°S?80°N, 1979?2016) = 0.134°C decade?1]. This change is primarily due to the changes in the adjustment for drifting local measurement time. The new dataset shows more warming than most similar datasets constructed from satellites or radiosonde data. However, comparisons with total column water vapor over the oceans suggest that the new dataset may not show enough warming in the tropics.
publisherAmerican Meteorological Society
titleA Satellite-Derived Lower-Tropospheric Atmospheric Temperature Dataset Using an Optimized Adjustment for Diurnal Effects
typeJournal Paper
journal volume30
journal issue19
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-16-0768.1
journal fristpage7695
journal lastpage7718
treeJournal of Climate:;2017:;volume( 030 ):;issue: 019
contenttypeFulltext


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