INDEX 



Mesquite: fire and. Fig. IX-13 

 Metabolism 



at high altitudes, 381 



heart disease, 388-389 

 Metaldehyde, 174 



Metallogenic maps for North America, 31 

 Metals: to\ic effects, 322, 357 



see also specific names 

 Meteoric material in ionosphere, 10 

 Metropolitan Problems Advisory 



Committee, Seattle, Wash., 271 

 Mexico, 74, 147, 358 

 Mexico City, Mexico, 204 

 Miami, Fla., 191, 194 



University of, 253 

 Mice, see Rodents 

 Michigan, University of, 269 

 Microfossils, 344 

 Microminiaturization 



equipment for weather research, 104 

 Micropaleontological analysis of 



core samples, 53 

 Mid-Atlantic Ridge, 26, 27 

 Mid-Ocean Dynamics Experiment 



(MODE), 80 

 Middle East, 280 

 Midwest (U.S.) 



animal ecology, 303 



atmospheric dust, 192 



climatic change, 69 



cyclone defense, 135 



lake pollution, 271 

 Migration: marine mammals, 246 

 Milankovitch, M., 54 

 Milkfish, 251 

 Miller, Robert C, 101 

 Millet, 289 

 Minerals 



forest soils, 296 



mining, 214 



prospecting, 28, 30-32 

 Mining of water, 204 

 Ministry of Agriculture and Forests, 



Italy, 153 

 Minnesota, 302, 311 

 Minoan civilization, (Crete), 44 

 Mintz, Yale, 88 

 Mississippi Valley, 31, 38, 147 



hurricanes, 133, Fig. V-5, 136 

 Missouri, 31, 38, 170 



Mites: pesticide resistance, Fig. X-ll, 352 

 Mitochandria, 288 

 MODE, see Mid-Ocean Dynamics 



Experiment 

 Models, Laboratory 



lakes, 254, 269 



lightning, 159, 160 



tornadoes, 140, 141, 146 



urban-induced weather change, 119 

 Models, Mathematical 



air pollution, 334, 340, Fig. X-7, 335-336 



antarctic marine life, 232 



atmosphere-ocean systems, 58, 59, 64, 

 Fig. IiI-6, 68, 70 



atmospheric circulation, 89-91 



forest ecosystems, 293, 294, 295, 299, 

 300, 301, 307 

 animal-habitat relationships, 303 



hailstorms, 149, 150, 154 



heat-food relationships of invertebrates, 



Fig. IX-8 

 lake circulation, 255, 269, 270 

 lightning behavior, 159 

 ocean currents, 79, 80, 81, 82-83, 87 

 pest control, 353, 366, 369 

 physical, economic and social 



relationships, Fig. X-5 

 plant-energy exchange, 287, 288 

 tundra ecosystem, 314, Fig. IX-16 

 volcanic activity, 46, 47 

 weather modification, 174, 175, 176, 

 Fig. VI-6, 178, 181, 182 

 Models, Predictive 



cloud seeding, 171, Fig. VI-3 



drought, 167, 168, 220 



for estimating water supply, 197, 198, 



201, 202 

 for weather forecasting, 104, 114-115 

 dynamic-iterative, 96, 98, "9, 100, 106 

 statistical-physical-synoptic, 100 

 tropical meteorology, 185, 186, 187, 

 188, 189 

 hurricane, 95, 124, 125, 126, 128, 129, 



131, 132 

 lake circulation, 254 

 solar activity and geophysical response, 



16-17 

 tornado, 139, 140, 141 

 trophic dynamics of Puget Sound, 249 

 watershed research, 211 

 Models, Simulation 

 ecosystems, 281, 282 

 grassland, Fig. IX-2 

 mosquito submodel, Fig. IX-3 

 oceans, 233, 234, 235, 244 

 validation studies, 283, Fig. IX-4 

 Great Lakes, 269 

 upper atmosphere, 3, 14 

 volcanic processes, 46-47 

 watershed management, 211 

 Models, Submodels 



ecosystems, 281, Fig. IX-3, 284 

 Mohorovicic discontinuity, 29 

 Mojave Desert, Cal, 29, 204 

 Molds 



air pollution, 339, 343 

 crop diseases, Fig. X-8 

 Mollusks: aquaculture, Fig. VIII— 11 

 Molybdenum, 215 

 Monitoring 



air pollution, 331 



climatic changes, 51, 58, 68 



ecosystems 



forest fires, 307 



model validating, 283, Fig. IX-4 

 for atmospheric contaminants, 337 

 Great Lakes water quality, 264, 266, 270 

 tornadoes, 138, 140-141 

 volcanoes, 44, 46, 48 

 weather stations, 137 

 Monocultures 



domesticated plants and animals, 278 

 tropical regions, 297 

 Monsoons, 184-187, Fig. VI-10, 220 

 Montana, 31, 160, 306 

 Monte Nuovo (volcano), Italy, 43 



Montmorillite, 192 



Monzonite, 29 



Moon, Fig. 1-3 



Moose, 303-305 



Moreno, Eudoro, 306 



Morgan, B., 139 



Morris, Dale Duane, 376 



Mortality rates, see Death rates 



Morton, Newton E., 373, 374 



Mosquitos: submodel, Fig. IX-3, 364-367 



Mosses 



in forest ecosystem, 292 



tundra, 313, 314 

 Motor vehicles: air pollution, 319, 385, 390 

 Mount Agung, Bali, 56, 68 

 Mount Baker (volcano), Wash., 44 

 Mount Katmai (volcano), Alaska, 41, 44 

 Mount Lassen (volcano), Cal., 40, 44 

 Mount Mazama (volcano), Ore., 40 

 Mount Pelee (volcano), Martinique, 



42, 44, 45 

 Mount Ranier (volcano), Wash., 44 

 Mount St. Helens (volcano), Wash., 44 

 Mount San Salvatore, Switz., Fig. V-14 

 Mount Shasta (volcano), Cal., 44 

 Mount Wilson, Cal., 41 

 Mountain sickness, 382, 384, 385 

 Mountainous regions: clear air turbulence 



over, 106 

 Mudflows, 207 



volcanic, 42-43 

 Mueller, Peter Klaus, 388 

 Muller, H. J., 373 

 Multidisciplinary problems 



environmental design, 279 



Hubbard Brook Ecosystem Study, 293-295 



human biology evolution, 378, 384 

 Museums, 231 

 Mussels, 241, 251 

 Mutations, 338, 373 

 Mysids, 238 



N 



Nairobi, University of, Kenya, 185 



Namias, J., 166, 167 



Naples, Italy, 43 



NAS, see National Academy of Sciences, 



U.S. 

 NASA, see National Aeronautics and 



Space Administration 

 National Academy of Sciences, U.S. 



(NAS), 91 

 see also National Committee for Clear 



Air Turbulence 

 National Aeronautics and Space 



Administration (NASA), 47, 69, 



112, Fig. VI-11 

 National Bureau of Electrical Energy, 



Italy, 153 

 National Center for Atmospheric Research 



(NCAR) 

 BOMEX support, Fig. VI-11 

 environmental contamination, 330 

 modeling, Fig. Ill— 6, 66, 68, 235 

 National Committee for Clear Air 



Turbulence, U.S., (NAS), 108 



412 



