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Archive for the ‘satellites’ Category

Did Global Warming Stop After 2007?

2011 January 5 Comments off

One more set of these. This set is up because it shows the best chance to break a recent warm trend. This is because 2008 was relatively low in recent years. Keeping it out of the trend keeps the trend a bit higher and lets a low year kiss the edge of the ‘no trend / cooling trend’ realms.

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Did Global Warming Stop in 1940?

2011 January 3 5 comments

I used the data set prepared by O’Day over at Climate Charts & Graphs. Thus, we have charts for GISTEMP, HadCRU, and NOAA. The data for Dec 2010 is still missing – but I’m using the ave for Jan-Nov for the 2010 annual data.

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10, 20, 30, 40, 50 and More!

2011 January 2 Comments off

After the turn of the century
In the clear blue skies over Germany
Came a roar and a thunder men had never heard
Like the screamin’ sound of a big war bird

Up in the sky, a man in a plane
Baron von Richthofen was his name
Eighty men tried, and eighty men died
Now they’re buried together on the countryside

Ten, twenty, thirty, forty, fifty or more
The Bloody Red Baron was rollin’ up the score
Eighty men died tryin’ to end that spree
Of the Bloody Red Baron of Germany

In the nick of time, a hero arose
A funny-looking dog with a big black nose
He flew into the sky to seek revenge
But the Baron shot him down – “Curses, foiled again!”

In this set, we look at GISTEMP through different lengths of trend.

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Did Global Warming Stop After 2000?

2011 January 1 23 comments

Second verse, same as the first.
So why bother? Completeness.

Did Global Warming Stop After 1998?

2010 December 31 10 comments

Tamino had an interesting post in Jan 2008, nearly three years ago, which I will refer to as Tamino’s Bet. It displayed one way to test if a trend has continued, stalled, or reversed. No doubt that it is not the most rigorous statistical treatment around – maybe not even close. But it sure is visual.

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Zou: NESDIS/STAR SNO-calibrated MSU/AMSU Radiances

2010 August 16 3 comments

Introduction

A reader points out the SNO corrected data for MSU/AMSU middle troposphere. The following is “version 2.0”
ftp://ftp.orbit.nesdis.noaa.gov/pub/smcd/emb/mscat/data/

mscat.rss.png
NESDIS/STAR SNO-calibrated MSU/AMSU Radiances

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ZGG09: Error and Atmos Temp Trends in Obs from the MSU

2010 August 15 8 comments

Error Structure and Atmospheric Temperature Trends in Observations from the Microwave Sounding Unit

CHENG-ZHI ZOU, MEI GAO, MITCHELL D. GOLDBERG
http://www.star.nesdis.noaa.gov/smcd/emb/mscat/mscat_files/Zou.2009.ErrorStructure.pdf

ABSTRACT
The Microwave Sounding Unit (MSU) onboard the National Oceanic and Atmospheric Administration polar-orbiting satellites measures the atmospheric temperature from the surface to the lower stratosphere under all weather conditions, excluding precipitation. Although designed primarily for monitoring weather processes, the MSU observations have been extensively used for detecting climate trends, and calibration errors are a major source of uncertainty. To reduce this uncertainty, an intercalibration method based on the simultaneous nadir overpass (SNO) matchups for the MSU instruments on satellites NOAA-10, -11, -12, and -14 was developed. Due to orbital geometry, the SNO matchups are confined to the polar regions, where the brightness temperature range is slightly smaller than the global range. Nevertheless, the resulting calibration coefficients are applied globally to the entire life cycle of an MSU satellite. Such intercalibration reduces intersatellite biases by an order of magnitude compared to prelaunch calibration and, thus, results in well-merged time series for the MSU channels 2, 3, and 4, which respectively represent the deep layer temperature of the midtroposphere (T2), tropopause (T3), and lower stratosphere (T4).

Focusing on the global atmosphere over ocean surfaces, trends for the SNO-calibrated T2, T3, and T4 are, respectively, 0.21 +/- 0.07, 0.08 +/- 0.08, and 20.38 +/- 0.27 K decade21 from 1987 to 2006. These trends are independent of the number of limb-corrected footprints used in the dataset, and trend differences are marginal for varying bias correction techniques for merging the overlapping satellites on top of the SNO calibration.

The spatial pattern of the trends reveals the tropical midtroposphere to have warmed at a rate of 0.28 +/- 0.19 K decade21, while the Arctic atmosphere warmed 2 to 3 times faster than the global average. The troposphere and lower stratosphere, however, cooled across the southern Indian and Atlantic Oceans adjacent to the Antarctic continent. To remove the stratospheric cooling effect in T2, channel trends from T2 and T3 (T23) and T2 and T4 (T24) were combined. The trend patterns for T23 and T24 are in close agreement, suggesting internal consistencies for the trend patterns of the three channels.

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