1. Water Transport in Jet Stream Winds Surface Water Hydrology Term Project Cédric DAVID

2. Overview 1. Introduction 2. Data and Programming 3. Results 4. Conclusions

3. 1. Introduction

4. Wind Jet Stream View from the North Pole Upper level of the atmosphere

5. 1. Introduction What happens? Upper air winds regulate air masses Their deflection by the Coriolis acceleration creates Jet Streams

6. 1. Introduction Wind

7. 1. Introduction Wind Altitude: 13000m Altitude: 10000m

8. 1. Introduction Jet Stream Its position denotes strongest SURFACE temperature contrast 100 – 300 km/h 28 – 80 m/s Weaker in the summer (smaller T gradient) In the US

9. 1. Introduction Jet Streak 300 km/h Jet streaks are localized regions of very fast winds embedded within the jet stream.

10. 2. Data and Programming

11. IDV Software Java-based software framework for analyzing and visualizing geoscience data

12. 2. Data and Programming National Oceanic and Atmospheric Administration National Center for Environmental Prediction National Weather Service  North American Regional Reanalysis

13. 2. Data and Programming NARR A Monthly Pressure Temperature Specific Humidity Wind Speed Dew Point Temperature

14. 2. Data and Programming NARR.xml (  Too Long) NARR Homepage (Download.grb grid files) –FTP server –Choose the desired options (levels, parameters and sub regions) Open them with (degrib, Climate Data Operator, finally IDV)

15. 2. Data and Programming Formulas in IDV Jython programming language Java version of Python  can work with VisAD objects directly (no loop on the grid necessary) ws=sqrt(u 2 +v 2 )

16. 2. Data and Programming

18. 3. Results

19. Jet Streak Cross section with filtered Jet Stream Whole NARR Domain Long Computation time

20. 3. Results July 29 m/s isovolume Just above the Great Lakes

21. 3. Results 12000m July

22. 3. Results July

23. 3. Results December 29 m/s isovolume Just above Florida GOES SOUTH!

24. 3. Results 12000m December

25. 3. Results December

26. 3. Results Jython formulas –Select Jet Stream –Specific Humidity Flow in Jet Stream

27. 3. Results Jython formulas –Total Pressure p (not in the NARR) –Density of vapor  v –Mass of water

28. 4. Conclusions Limitation of Jython: –only basic mathematical computation –cannot access single cell (easily) IDV –Good graphic interface –Calculations and formulas Power of IDV and NARR –Visual aspect of the results –Able to show known phenomena

29. Questions? http://www.physicalgeography.net/fundam entals/7q.htmlhttp://www.physicalgeography.net/fundam entals/7q.html http://ww2010.atmos.uiuc.edu/(Gh)/guides /mtr/cyc/upa/jet.rxmlhttp://ww2010.atmos.uiuc.edu/(Gh)/guides /mtr/cyc/upa/jet.rxml