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Environmental prediction, risk assessment and extreme events: adaptation strategies for the developing world by Peter J. Webster, and Jun Jian Philosophical.

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Presentation on theme: "Environmental prediction, risk assessment and extreme events: adaptation strategies for the developing world by Peter J. Webster, and Jun Jian Philosophical."— Presentation transcript:

1 Environmental prediction, risk assessment and extreme events: adaptation strategies for the developing world by Peter J. Webster, and Jun Jian Philosophical Transactions A Volume 369(1956):4768-4797 December 13, 2011 ©2011 by The Royal Society

2 The Himalayas and the Tibetan Plateau are the sources for a complex of major rivers associated with thriving agricultural societies, colour coded by population density. Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

3 Example of an ensemble forecast from the ECMWF system 3 coupled ocean–atmosphere climate model [22] predicting the evolution of the mid-eastern equatorial Pacific Ocean sea-surface temperature (SST) anomaly (deviation from climatology). Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

4 Long-period data for rivers in the developing world are relatively rare. Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

5 Five major steps of the CFAB probabilistic forecast scheme. Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

6 The three left-hand panels in (a) refer to forecasts of Brahmaputra river discharge in 2007, while the two right-hand panels in (b) refer to Brahmaputra flow in 2008. a(i) Summary of the 10 day Brahmaputra forecasts for the entire summer plotted against the... Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

7 Culling of the IPCC AR4 models based on the precept that models that simulate the present era monsoon precipitation the best are most likely to perform better in estimating future monsoon precipitation. Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

8 Reduction of model bias for models that passed the acceptability criteria. Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

9 Simulated discharge (×103 m3 s−1) over the next century of the (a) Ganges, (b) Brahmaputra and (c) Yangtze Rivers at the Hardinge Bridge and Bahadurabad in Bangladesh and Datong in China, respectively, for a range of SRESs, including the scenario when the C... Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

10 Flood probability (left ordinate) and return period (right ordinate) for floods of duration (a) more than 5 days and (b) more than 10 days for the Ganges (dashed line) and Brahmaputra (solid). Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society

11 Population (black curves, left-hand ordinate) for the A2, A1, B1 scenarios and fresh water availability (discharge per population; red curves, right-hand ordinate) for the twenty-first century for the (a) Ganges, (b) Yangtze and (c) Brahmaputra River basins. Peter J. Webster, and Jun Jian Phil. Trans. R. Soc. A 2011;369:4768-4797 ©2011 by The Royal Society


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