Review of the U.S. Climate Change Science Program's Synthesis and Assessment Product on Temperature Trends in the Lower Atmosphere (2005) / Chapter Skim
Currently Skimming:
Review of Chapter 2
Review of Chapter 2
Pages 15-20
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 15... ...
However, for longer time scale changes, where the magnitudes of change are smaller and the stability requirements more rigorous, the observing systems face significant challenges to document climate variations and trends with the accuracy and representativeness that allows attribution of change to human causes to be reliably identified. Therefore, many sources of errors m climate temperature data records must be identified and eliminated or significantly reduced.
|
From page 16... ...
explaining the measuring systems and instrumentation, their accuracy and precision, and spatial temporal variability for global measurements of temperature; b. addressing measurement issues both for surface temperature measurements and atmospheric temperature measurements; c.
|
From page 17... ...
For example, after "no absolute standards" m line 512, one sentence can be inserted to state that reference instruments are needed for future networks, such as the global reference radiosonde network proposed by the Global Climate Observing System (GCOS)
|
From page 18... ...
The "arima" function in the freely available R statistical package allows for fitting a linear regression component with ARMA errors, where the autoregressive and moving average components are of arbitrary order. The method is exact maximum likelihood, and standard errors are calculated for both the regression coefficients and the ARMA parameters.
|
From page 19... ...
Based on the overall structure of the document, such discussion would logically belong with the "uncertainty" discussion m Chapter 4 rather than Chapter 2 but the authors might alternatively consider wliting a separate appendix on the statistical issues associated with estimating trends m climatic lime series.
|
From page 20... ...
(2003) found that UAH T4 retrievals in the Arctic lower stratosphere m winter were biased relative to temperatures derived from GPS Radio Occultation measurements.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.