Effects of soil moisture on temperatures, winds, and pollutant concentrations in Los Angeles

Journal of Applied Meteorology

Volumn 38, Issue 5, 1999, Pages 607-616

  Jacobson, Mark Z ^a  

^a Stanford University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC POLLUTION; MOISTURE; SOIL; TEMPERATURE; WIND VELOCITY;

ATMOSPHERIC POLLUTION; SOIL MOISTURE; TEMPERATURE PROFILE; WIND VELOCITY;

UNITED STATES;

EID: 0032863565     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(1999)038<0607:EOSMOT>2.0.CO;2     Document Type: Article

References (27)

1. Bastiaanssen, W. G. M., H. Pelgrum, P. Droogers, H. A. R. de Bruin, and M. Menenti, 1997: Area-average estimates of evaporation, wetness indicators and top soil moisture during two golden days in EFEDA. Agric. For. Meteor., 87, 119-137.
2. Clapp, R. B., and G. M. Hornberger, 1978: Empirical equations for some soil hydraulic properties. Water Resour. Res., 14, 601-604.
3. Jacobson, M. Z., 1994: Developing, coupling, and applying a gas, aerosol, transport, and radiation model to study urban and regional air pollution. Ph.D. thesis, University of California, Los Angeles, 436 pp. [Available from UMI Dissertation Information Service, 300 North Zeeb Road, P.O. Box 1346, Ann Arbor, MI 48106-1346.]
4. _, 1997a: Development and application of a new air pollution modeling system - Part II. Aerosol module structure and design. Atmos. Environ., 31, 131-144.
5. _, 1997b: Development and application of a new air pollution modeling system - Part III. Aerosol-phase simulations. Atmos. Environ., 31, 587-608.
6. _, 1998: Studying the effects of aerosols on vertical photolysis rate coefficient and temperature profiles over an urban airshed. J. Geophys. Res., 103, 10 593-10 604.
7. _, 1999: Fundamentals of Atmospheric Modeling. Cambridge University Press, 656 pp.
8. _, R. Lu, R. P. Turco, and O. B. Toon, 1996: Development and application of a new air pollution modeling system - Part I. Gasphase simulations. Atmos. Environ., 30B, 1939-1963.
9. Ji, J., P. van der Keur, A. Thomsen, and H. Skriver, 1996: Soil moisture retrieval using the Danish L-and C-band polarimetric SAR. Proc. 1996 Int. Geoscience and Remote Sensing Symp., Lincoln, NE, 1300-1302.
10. Kessler, R. C., and D. J. Sailor, 1991: Use of numerical models to assess the effects of energy usage reduction measures on air quality in the Los Angeles basin. Proc. 1991 U.S. EPA/AWMA Int. Symp. on the Role of Meteorology in Managing the Environment in the 90s, Pittsburgh, PA, AWMA, 200-209.
11. Lakshmi, V., E. F. Wood, and B. J. Choudhury, 1997: Evaluation of Special Sensor Microwave/Imager satellite data for regional soil moisture estimation over the Red River basin. J. Appl. Meteor., 36, 1309-1328.
12. Lanicci, J. M., T. N. Carlson, and T. T. Warner, 1987: Sensitivity of the Great Plains severe-storm environment to soil-moisture distribution. Mon. Wea. Rev., 115, 2660-2673.
13. Lawson, D. R., 1990: The Southern California air quality study. J. Air Waste Manag. Assoc., 40, 156-165.
14. Lu, R., 1994: Development of an integrated air pollution modeling system and simulations of ozone distributions over the Los Angeles basin. Ph.D. thesis, University of California, Los Angeles, 362 pp. [Available from UMI Dissertation Information Service, 300 North Zeeb Road, P.O. Box 1346, Ann Arbor, MI 48106-1346.]
15. _, and R. P. Turco, 1995: Air pollutant transport in a coastal environment, II: Three-dimensional simulations over Los Angeles basin. Atmos. Environ., 29, 1499-1518.
16. Mahfouf, J.-F., E. Richard, and P. Mascart, 1987: The influence of soil and vegetation on the development of mesoscale circulations. J. Appl. Meteor., 26, 1483-1495.
17. Mintz, Y., 1984: The sensitivity of numerically simulated climates to land surface conditions. The Global Climate, J. Houghton, Ed., Cambridge University Press, 79-105.
18. _, and Y. V. Serafini, 1992: A global climatology of soil moisture and water balance. Climate Dyn., 8, 13-27.
19. Rind, D., 1982: The influence of ground moisture conditions in North America on summer climate as modeled in the GISS GCM. Mon. Wea. Rev., 110, 1487-1494.
20. Schmugge, T., 1996: Applications of passive microwave observations of surface soil moisture. Proc. 1996 Int. Geoscience and Remote Sensing Symp., Lincoln, NE, 1051-1053.
21. _, P. Gloersen, T. T. Wilheit, and F. Geiger, 1974: Remote sensing of soil moisture with microwave radiometers. J. Geophys. Res., 79, 317-323.
22. Stern, R., 1994: Entwicklung und anwendung eines dreidimensionalen photochemischen ausbreitungsmodells mit verschiedenen chemischen mechanismem. Meteorologische Abhandlungen Serie A Band 8, Heft 1, Verlag von Dietrich Reimer.
23. Taha, H., 1996: Modeling impacts of increased urban vegetation on ozone air quality in the South Coast Air Basin. Atmos. Environ., 30, 3423-3430.
24. _, 1997: Modeling the impacts of large-scale albedo changes on ozone air quality in the South Coast Air Basin. Atmos. Environ., 31, 1667-1676.
25. van den Hurk, B. J. J. M., W. G. M. Bastiaanssen, H. Pelgrum, and E. van Meijgaard, 1997: A new methodology for assimilation of initial soil moisture fields in weather prediction models using Meteosat and NOAA data. J. Appl. Meteor., 36, 1271-1283.
26. Walker, J., and P. R. Rowntree, 1977: The effect of soil moisture on circulation and rainfall in a tropical model. Quart. J. Roy. Meteor. Soc., 103, 29-46.
27. Zhang, D., and R. A. Anthes, 1982: A high-resolution model of the planetary boundary layer - Sensitivity tests and comparisons with SESAME-79 data. J. Appl. Meteor., 21, 1594-1609.