Skip to main content

A Dual Use for Space Solar Power

The global weather control option

  • Chapter
Macro-Engineering

Abstract

One day mankind may be capable of controlling the weather on a global scale. The key factor enabling control of the weather is that the atmosphere appears to be chaotic and chaos implies sensitivity to small perturbations. Extreme sensitivity to initial conditions suggests that small perturbations to the atmosphere may effectively control the evolution of the atmosphere if the atmosphere is observed and modeled sufficiently well. It is shown that four-dimensional variational analysis∈dex four-dimensional variational analysis (4d-VAR) is a data assimilation technique that has promise for calculating optimal perturbations for weather modification. Experiments described here demonstrate the ability of 4d-VAR to calculate perturbations to influence the evolution of a simulated tropical cyclone. In “damage cost function” experiments described here, 4d-VAR simultaneously minimizes the size of the initial perturbation and an estimate of property loss that depends on wind speed. In these experiments the hurricane surface winds decrease over the built-up area at landfall. It is as if the simulated hurricane "blinks its eye" at a precisely controlled time. The optimal perturbations usually include quasi-axisymmetric features centered on the hurricane. It appears that the perturbation evolves as a concentric wave disturbance that propagates to a focus at the hurricane center, and converts the kinetic energy of the hurricane into thermal potential energy at the appropriate time. The hurricane surface winds regenerate soon thereafter, so a continuous series of perturbations may be needed in practice. Experiments are described with different control vectors, including all prognostic variables, temperature only, and temperature only outside of the center core of the hurricane. The temperature only experiments suggest that precisely prescribed heating might serve to control hurricanes and other weather phenomena in the future. Microwave heating∈dex Microwave heating rate calculations are presented in support of the concept of dual use space solar power satellites for electric power and for weather control. These calculations show that by tuning within the 183 GHz water vapor absorption interval it would be possible to control the height of the maximum heating. The prototype experiments presented here suggest that global weather control will eventually become a reality especially since many of the supporting disciplines will naturally evolve at a rapid pace. The costs associated with recent damaging hurricanes should cause this pace to accelerate. It is plausible that two generations from now controlling the global weather may be within the capabilities and resources of several nations or groups of nations. In the future, NASA’s mission may explicitly include mention of research to control the weather for the benefit of mankind

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • AMS (2000a) Glossary of Meteorology, 2nd edn. American Meteorological Society, 850 pp

    Google Scholar 

  • AMS (2000b) Hurricane research and forecasting. Bull Am Meteorol Soc 81::1341–1346

    Google Scholar 

  • Clough SA, Shepard MW, Mlawer EJ, Delamere JS, Iacon Boukabara S, Brown PD (2005) Atmospheric radiative transfer: a summary of the AER codes. J Quant Spectrosc Radiat Transfer 91::233–244

    Article  CAS  Google Scholar 

  • Courtier P (1997) Dual formulation of four-dimensional variational assimilation. Quart J Roy Meteor Soc 123::2449–2461

    Article  Google Scholar 

  • CPHC (1992) Tropical cyclones report for the central Pacific. Technical Memorandum NWS-PR-38, Central Pacific Hurricane Center, NOAA, Washington, DC. http://www.prh. nuaa.gov.cphc/summaries/1992.php

    Google Scholar 

  • Davis C, Low-Nam S (2001) The NCAR-AFWA Tropical Cyclone Bogussing Scheme. Technical Memorandum, Air Force Weather Agency (AFWA), Omaha, NE. http://www. mmm.ucar.edu/mm5/mm5v3/tc-report.pdf

    Google Scholar 

  • De Pondeca MFV, Zou X (2001) A case study of the variational assimilation of GPS zenith delay observations into a mesoscale model. J Appl Meteor 40::1559–1576

    Article  Google Scholar 

  • Dudhia J (1993) A nonhydrostatic version of the Penn State-NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon Wea Rev 121::1493–1513

    Article  Google Scholar 

  • ECMWF (1999) A strategy for ECMWF, 1999–2008. Miscellanenous publication, ECMWF, Reading, United Kindom, 16 pp

    Google Scholar 

  • Garstang M et al. (2003) Critical issues in weather modification research. National Research Council, National Academy of Sciences, Washington, DC. http://www.nap.edu/books/0309090539.html/

    Google Scholar 

  • Glaser PE (1968) Power from the sun: Its future. Science 162:957–961

    Article  Google Scholar 

  • Glaser PE, Davidson FP, and Csigi KI (eds) (1998) Solar power satellites: A space energy system for earth, Wiley-Praxis Series in Space Science and Technology. John Wiley & Sons, Hoboken, New Jersey, U.S.A., 654 pp

    Google Scholar 

  • Grell GA, Dudhia J, and Stauffer DR (1994) A description of the fifth-generation Penn State/NCAR mesoscale model (MM5). Technical Note 398+1A, NCAR, 122 pp

    Google Scholar 

  • Henderson JM, Hoffman RN, Leidner SM, Nehrkorn T, Grassotti C (2005) A 4D-VAR study on the potential of weather control and exigent weather forecasting. Quart J Roy Meteor Soc 131::3037–3052

    Article  Google Scholar 

  • Hoffman RN (2002) Controlling the global weather. Bull Am Meteorol Soc 83::241–248

    Article  Google Scholar 

  • Hoffman RN, Henderson JM, Leidner SM (2002) Using 4d-VAR to move a simulated hurricane in a mesoscale model. 19th Conference on Weather Analysis and Forecasting/15th Conference on Numerical Weather Prediction. American Meteorological Society, Boston, MA, San Antonio, Texas, J137–J140, paper JP4.4

    Google Scholar 

  • Holmes H (2002) The secret life of dust. Wiley, 240 pp

    Google Scholar 

  • Holton JR (1992) An introduction to dynamic meteorology, 3rd edn. Academic, New York, 511 pp

    Google Scholar 

  • Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds B, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, MRopelewski C, Wang J, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471

    Article  Google Scholar 

  • Kwa C (2001) The rise and fall of weather modification: Changes in American attitudes toward technology, nature, and society. In: Miller C, Edwards P (eds) Changing the atmosphere—Expert knowledge and environmental governance. MIT Press, Cambridge, Massachusetts, U.S.A, pp 135–165

    Google Scholar 

  • Lawrence MB, Rappaport EN (1994) Eastern North Pacific hurricane season of 1992. Mon Wea Rev 122::549–558

    Article  Google Scholar 

  • Liu Y, Zhang D-L, Yau MK (1999) A multiscale numerical study of Hurricane Andrew (1992). Part II: Kinematics and inner-core structures. Mon Wea Rev 127::2597–2616

    Article  Google Scholar 

  • Lorenc AC (1997) Development of an operational variational assimilation scheme. J Meteor Soc Jpn 75::339–346

    Google Scholar 

  • Lorenz EN (1969) The predictability of a flow which possesses many scales of motion. Tellus 21::289–307

    Article  Google Scholar 

  • Pruppacher HR, and Klett JD (1997) Microphysics of clouds and precipitation. Springer, Berlin, 976 pp

    Google Scholar 

  • Rabier F, Järvinen H, Klinker E, Mahfouf J-F, Simmons A (2000) The ECMWF operational implementation of four-dimensional variational assimilation. I: Experimental results with simplified physics. Quart J Roy Meteor Soc 126::1143–1170

    Article  Google Scholar 

  • Rabier F, Klinker E, Courtier P, Hollingsworth A (1996) Sensitivity of forecast errors to initial conditions. Quart J Roy Meteor Soc 122::121–150

    Article  Google Scholar 

  • Ramanathan V, Crutzen PJ, Kiehl JT, Rosenfeld D (2001) Aerosols, climate, and the hydrological cycle. Science 293::2119–2124

    Article  Google Scholar 

  • Richardson LF (1922) Weather prediction by numerical process. Cambridge University Press, London, UK, reprinted by Dover, 1965, 236 pp

    Google Scholar 

  • Rosenfeld D (2000) Suppression of rain and snow by urban and industrial pollution. Science 287::1793–1796

    Article  CAS  Google Scholar 

  • Rosenfeld D, Rudich Y, Lahav R (2001) Desert dust suppressing precipitation: a possible desertification feedback loop. Proc Natl Acad Sci USA 98::5975–5980

    Article  CAS  Google Scholar 

  • Rudich YO, Khersonsky O, Rosenfeld D (2002) Treating clouds with a grain of salt. Geophys Res Lett 29 (22) 2060, doi: 10.1029/2002GL016055

    Article  Google Scholar 

  • Simpson RH, Malkus JS (1964) Experiments in hurricane modification. Scientific Am 211::27–37

    Google Scholar 

  • Simpson RH, Simpson J (1966) Why experiment on tropical hurricanes?. Trans New York Acad Sci 28::1045–1062

    Google Scholar 

  • Tenerelli JE, Chen SS (2001) High-resolution simulations of Hurricane Floyd using MM5 with vortex-following mesh refinement. 14th Conference on Numerical Weather Prediction, American Meteorological Society. Boston, MA, Fort Lauderdale, Florida, J52–J54

    Google Scholar 

  • Unanwa CO, McDonald JR, Mehta KC, Smith DA (2000) The development of wind damage bands for building. J Wind Eng Ind Aerodyn 84:: 119–149

    Article  Google Scholar 

  • Zou X, Vandenberghe F, Pondeca M, Kuo Y-H (1997) Introduction to adjoint techniques and the MM5 adjoint modeling system. Technical Note 435-STR, NCAR, Boulder, CO

    Google Scholar 

  • Zou X, Xiao Q, Lipton AE, Modica GD (2001) A numerical study of the effect of GOES sounder cloud-cleared brightness temperatures on the prediction of Hurricane Felix. J Appl Meteor 40:34–55

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer

About this chapter

Cite this chapter

Hoffman, R.N., Henderson, J.M., Modica, G.D., Mark Leidner, S., Grassotti, C., Nehrkorn, T. (2006). A Dual Use for Space Solar Power. In: Badescu, V., Cathcart, R.B., Schuiling, R.D. (eds) Macro-Engineering. Water Science and Technology Library, vol 54. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4604-9_7

Download citation

Publish with us

Policies and ethics