| 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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