Atmospheric Disturbances
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Rivka Galchen. Atmospheric Disturbances
Atmospheric Disturbances
1. On a temperate stormy night
2. Around 2 a.m
3. What may be highly relevant
a. A secret agent for the Royal Academy of Meteorology
b. An initial deception
c. An initial appearance
d. Initial anxiety (my mésalliance)
e. An initial (Pyrrhic) victory
f. An unusual initiation of a kind of friendship with Tzvi Gal-Chen
4. A mysterious knuckle
5. An initial search
6. An alleged orphan
7. I am contacted
8. Single-Doppler weather radar
9. Dopplerganger effect in effect
10. I walk the dog; the dog walks me
11. Paradigm shift
12. My second search, objective unknown
13. We exchange words, not pleasures
14. Pleasures past
15. An object that will not be permanent
16. I contact a third party
17. EigenRema
18. EigenMe
19. Into the noise
20. Least squares method of fitting functions to data
21. One mystery resolving
22. Method of maximum likelihood
23. An alibi not invented by Rema
24. In 1990, Tzvi Gal-Chen publishes “Can Dryline Mixing Create Buoyancy?”
25. A wrongful accusation
26. Lola
27. Dog man
28. What would Tzvi Gal-Chen do?
29. A mysterious misrepresentation
30. An ersatz return
31. A call not for me
32. Measured radiances at various frequencies
33. Synoptic meteorology
34. Mesoscale phenomena
35. The ghost in the machine
36. Chills
37. In the ghost’s machine
38. Very normal conversation
39. Conversation interrupted
40. The real point in space
1. A Method for Calculating Temperature, Pressure and Vertical Velocities from Doppler Radar Observations
2. Variant case of Dopplerganger effect in effect
3. A material intrusion
4. Recent advances in epistemology
5. Without effort
6. The realism of retrieved fields
7. Sensitivity studies
8. Postprandial insights
9. The sensitivity of the solution to uncertainties
10. Primate perturbations
11. I always hated musical chairs
12. I didn’t feel the way it seemed like I might feel
13. A confession
14. A reasonable theory
15. A case of mistaken identity
16. Materials and methods
17. Attacks on the local steady-state hypothesis
18. While we were out
19. The misrecognitions
20. Falsifiability
21. A birth of comedy
22. Conclusions and future work
Acknowledgments
Copyright
About the Publisher
Отрывок из книги
RIVKA GALCHEN
Since the first numerical prediction model we have witnessed a steady improvement in forecasting large scale flows. Yet on the human scale (i. e., the mesoscale) little to no improvement has been reported. Several reasons have been cited … yet the most obvious reason (to me at least) is: we cannot tell what the weather will be tomorrow (or the next hour) because we do not know accurately enough what the weather is right now.
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Following Rema’s advice I obtained a list of the fellows of the Royal Academy. I chose the name Tzvi Gal-Chen capriciously, or so I thought. It just seemed like an anomalous and gentle sort of name, somehow authoritative and innocent at once. I almost chose the name Kelvin Droegemeier. That name also had charm and a kind of diffident beauty. But in the end I settled on Tzvi, because I remembered that degrees Kelvin was a temperature scale, which made Kelvin Droegemeier’s name, even though it was a real name, seem fancifully invented.
The night before I tried Rema’s ruse on Harvey I had several straightforward dreams. In one I was unable to make a teakettle stop whistling, in another Harvey was a homing pigeon in a dovecote (though I’m not actually sure what a dovecote is, in the dream I did know), in a third I was wearing yellow pants that looked terrible on me, and in the last I was simply walking down a street—I was seeing myself from above, as if from a building’s fire escape—and I knew that everyone hated me.
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