I see that Anthony Watts is mixing up his sensitivities and satellite instruments (archived
here). He copied and pasted a press release about
a new paper in Nature. The researchers analysed
ecosystem responses to changing climates, looking just at the last 14 years (from 2000 to 2013), using a vegetation index based on data from the moderate resolution imaging spectroradiometer (MODIS). Anthony seems to have only got as far as
the headline to the press release. Either didn't read the press release itself or if he did he didn't understand it. (I very much doubt that he bothered to read
the paper that the
press release was about.) I say that because he introduced the press release with the following headline and his own
words:
Satellites – “not good enough to tell us global temperature”, but apparently good enough to tell us global climate sensitivity
Remember that video produced a few weeks ago from the usual suspects that says satellite data is no good for climate data? Others in science don’t seem to think so.
First of all, the paper is about
ecosystem sensitivity not
climate sensitivity in the temperature sense. That is, how the different ecosystems around the world are responding to climate variability and change,
not how much temperature will increase with a doubling of CO2.
 |
| Figure 1 | Global map of the Vegetation Sensitivity Index (VSI), a new indicator of vegetation sensitivity to climate variability using satellite data. Red colour shows higher ecosystem sensitivity, whereas green indicates lower ecosystem sensitivity. Grey areas are barren land or ice covered. Inland water bodies are mapped in blue. Source: U Bergen |
Secondly, the satellite-derived data is from the
imaging spectroradiometer (
MODIS), and shows vegetation changes. It's not from the Advanced Microwave Scanning Radiometer (AMSR-E) or other
microwave scanning instrument, used to measure "brightness temperature" or the radiance of the microwave radiation of the atmosphere, from which air temperature in different layers of the air is estimated).