Observations of climate change |
Global Warming is unequivocal |
Since 1970, rise in: Decrease in: | |
Global surface temperatures NH Snow extent | |
Tropospheric temperatures Arctic sea ice | |
Global SSTs, ocean Ts Glaciers | |
Global sea level Cold temperatures | |
Water vapor | |
Rainfall intensity | |
Precipitation extratropics | |
Hurricane intensity | |
Drought | |
Extreme high temperatures | |
Heat waves | |
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Many observed climate anomalies can be simulated in models with specified SSTs |
Sahel drought: Hurrell et al 2004, Giannini et al 2003, Hoerling, | |
US Dust Bowl: Schubert et al. 2004, Seager et al. 2005 | |
Drought (US, Europe, Asia): Hoerling and Kumar 2003 | |
But we can not (yet) simulate the observed SSTs. |
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IPCC experience on observations |
Sorting out the climate signal from the noise in inadequate observations from a changing observing system is an ongoing continual challenge | |
Space-based observations are a particular challenge |
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Main Issues |
The in situ data are not global and have problems | |
Satellites drift in orbit and instruments degrade: the data generally do not provide a climate record. They could. | |
The satellite record is in jeopardy, especially from demanifesting several climate instruments from NPOESS. | |
A baseline transfer standard is essential: in situ super sites (reference radiosonde plus network). | |
Regional climate requires attention to modes of variability and model initialization |
Why do we need an integrated Earth System Analysis? |
We have a lot of observations: from satellites and other remote sensing. | |
The volumes are huge | |
We use but a small fraction | |
Most are not climate quality | |
Inconsistencies exist across variables | |
They do not make a climate observing system | |
Reprocessing and reanalysis must be part of system |
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