Environmental modelling and prediction:
Gespeichert in:
Format: | Buch |
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Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2002
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XII, 480 S. Ill., graph. Darst., Kt. |
ISBN: | 3540674225 |
Internformat
MARC
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adam_text | GONGBING PENG LANCE M. LESLIE YAPING SHAO (EDS.) ENVIRONMENTAL MODELLING
AND PREDICTION WITH 168 FIGURES SPRINGER CONTENTS 1. ENVIRONMENTAL
SCIENCE 1 GONGBING PENG, YAPING SHAO AND LANCE M. LESLIE 1.1 THE
ENVIRONMENT AND ENVIRONMENTAL CHALLENGES 1 1.2 ENVIRONMENTAL MODELLING 8
1.3 ENVIRONMENTAL PREDICTION 10 1.4 RECENT DEVELOPMENTS IN ENVIRONMENTAL
SCIENCES 12 1.4.1 EARTH SYSTEMATICS 12 1.4.2 NATURAL CYBERNETICS 14
1.4.3 GEOGRAPHIC INFORMATION SYSTEM 16 1.4.4 NON-LINEAR DYNAMICAL SYSTEM
ANALYSIS AND PREDICTABIL- ITY 17 1.4.5 LINKS OF ENVIRONMENTAL SCIENCE TO
RELATED SUBJECTS .. 19 2. THE ENVIRONMENTAL DYNAMIC SYSTEM 21 YAPING
SHAO, GONGBING PENG AND LANCE M. LESLIE 2.1 THE ENVIRONMENT AS A DYNAMIC
SYSTEM 21 2.2 MATHEMATICAL REPRESENTATIONS AND SIMPLIFICATIONS 30 2.2.1
GOVERNING EQUATIONS FOR ATMOSPHERE 31 2.2.2 GOVERNING EQUATIONS FOR THE
OCEANS 33 2.2.3 BASIC EQUATIONS FOR LAND SURFACE 34 2.2.4 BASIC
EQUATIONS FOR GROUND WATER 35 2.2.5 BASIC EQUATIONS FOR ICE 36 2.3
PREDICTABILITY OF THE ENVIRONMENTAL SYSTEM 37 2.4 METHODS FOR
ENVIRONMENTAL PREDICTION 45 2.5 INTEGRATED ENVIRONMENTAL MODELLING
SYSTEMS 46 2.5.1 ATMOSPHERE-LAND SURFACE INTERACTION SCHEME 48 2.5.2
ATMOSPHERE-OCEAN INTERACTION SCHEME 50 2.6 ENSEMBLE PREDICTIONS 52 2.6.1
CHOOSING THE INITIAL PERTURBATIONS 53 2.6.2 CELL MAPPING 54 2.7
DYNAMIC-STOCHASTIC MODELS 56 2.7.1 DISSIPATIVE STRUCTURE 56 2.7.2
SYNERGETICS 58 2.7.3 DETERMINISTIC CHAOS THEORY 59 VIII CONTENTS 2.7.4
INTERACTIVE CHAOS 62 2.8 NATURAL CYBERNETICS 66 3. ATMOSPHERIC MODELLING
AND PREDICTION 75 LANCE M. LESLIE, RUSSEL P. MORISON, MILTON S. SPEER
AND LIXIN QI 3.1 INTRODUCTION 75 3.1.1 IMPACT ON SOCIETY OF SEVERE
WEATHER AND CLIMATE EVENTS 76 3.1.2 HISTORICAL BACKGROUND 78 3.1.3 THE
ROLE OF THE ATMOSPHERE IN THE ENVIRONMENTAL SYS- TEM 79 3.1.4 NUMERICAL
WEATHER PREDICTION AND MODELLING 80 3.2 EQUATIONS GOVERNING ATMOSPHERIC
MOTION 82 3.2.1 SOME COMMONLY USED NWP MODELS 83 3.2.2 THE UNSW HIRES
MODEL 84 3.3 SOLVING THE GOVERNING EQUATIONS 85 3.3.1 THE SHALLOW WATER
EQUATIONS 86 3.3.2 THE FINITE-DIFFERENCE TECHNIQUES 87 3.3.3 STABILITY
ANALYSES 88 3.3.4 DEFINING THE INITIAL STATE FOR THE MODEL INTEGRATION
... 91 3.4 APPLICATIONS 93 3.4.1 VERY SHORT RANGE FORECASTING (VSRF) 93
3.4.2 SHORT RANGE FORECASTING (SRF) 96 3.4.3 MEDIUM RANGE FORECASTING
(MRF) 99 3.4.4 MODELLING THE GENERAL CIRCULATION OF THE ATMOSPHERE . 101
3.5 CLIMATE MODELLING 104 3.5.1 THE GCM MODEL NUMERICS 105 3.5.2 THE
MODEL PHYSICS 106 3.5.3 OCEAN MODEL COUPLING 107 3.6 APPLICATIONS AND
RESULTS 107 3.6.1 MEDIUM RANGE FORECASTING EXPERIMENTS 107 3.6.2 BRIEF
CLIMATOLOGY OF THE MODEL 108 3.6.3 REGIONAL SIMULATIONS 109 3.7
STATISTICAL MODELS 112 3.7.1 DETERMINISTIC AND STATISTICAL MODELS 113
3.7.2 ANALOGUE RETRIEVAL TECHNIQUES 113 3.7.3 COMBINING DETERMINISTIC
AND STATISTICAL MODELS 114 3.7.4 MULTIPLE REGRESSION MARKOV MODEL 115
3.8 FUTURE DIRECTIONS 116 3.8.1 IMPACT OF CLOUD MICROPHYSICS 117 3.8.2
ENSEMBLE FORECASTING 117 3.8.3 VARIATIONAL DATA ASSIMILATION 121
CONTENTS IX 4. OCEAN MODELLING AND PREDICTION 125 MATTHEW H. ENGLAND AND
PETER R. OKE 4.1 INTRODUCTION 125 4.1.1 WHAT IS AN OCEAN MODEL? 125
4.1.2 MEAN LARGE-SCALE OCEAN CIRCULATION 126 4.1.3 OCEANIC VARIABILITY
126 4.1.4 THE OCEANS, CLIMATE, AND FORCING 129 4.2 A BRIEF HISTORY OF
OCEAN MODELLING 131 4.3 ANATOMY OF OCEAN MODELS 132 4.3.1 GOVERNING
PHYSICS AND EQUATIONS 132 4.3.2 MODEL CHOICE OF VERTICAL COORDINATE 135
4.3.3 SUBGRID-SCALE PROCESSES AND DISSIPATION 136 4.3.4 BOUNDARY
CONDITIONS AND SURFACE FORCING 141 4.4 SOME COMMONLY USED OCEAN MODELS
145 4.4.1 THE GFDL MODULAR OCEAN MODEL 145 4.4.2 THE PRINCETON OCEAN
MODEL 147 4.4.3 THE MIAMI ISOPYCNIC COORDINATE MODEL (MICOM) ... 149
4.4.4 THE DIECAST MODEL 149 4.5 OCEAN MODEL APPLICATIONS 150 4.5.1 A
GLOBAL COARSE RESOLUTION MODEL 150 4.5.2 GLOBAL EDDY-PERMITTING
SIMULATIONS 153 4.5.3 REGIONAL SIMULATIONS IN THE NORTH ATLANTIC OCEAN
.... 154 4.5.4 ENSO MODELLING 156 4.5.5 A REGIONAL MODEL OF THE SOUTHERN
OCEAN 157 4.5.6 A COASTAL OCEAN MODEL OFF EASTERN AUSTRALIA 158 4.5.7 A
COASTAL MODEL OF A RIVER PLUME 159 4.6 EXPLOITING OCEAN OBSERVATIONS 160
4.6.1 MODEL ASSESSMENT 160 4.6.2 INVERSE METHODS AND DATA ASSIMILATION
165 4.6.3 APPLICATIONS OF DATA ASSIMILATION TO COASTAL OCEAN MODELS 168
4.6.4 APPLICATION OF DATA ASSIMILATION TO LARGE-SCALE MODELS 169 4.6.5
VARIATIONAL DATA ASSIMILATION, EXAMPLE 169 4.7 CONCLUDING REMARKS 171 5.
LAND SURFACE PROCESSES 173 PARVIZ IRANNEJAD AND YAPING SHAO 5.1 THE
IMPORTANCE OF LAND-SURFACE PROCESSES 173 5.2 LAND-SURFACE
PARAMETERIZATION SCHEMES 176 5.3 MODELLING SOIL HYDROLOGY IN
LAND-SURFACE SCHEMES 179 5.3.1 BUCKET MODEL 179 5.3.2 FORCE-RESTORE
MODEL 180 5.3.3 MULTI-LAYER SOIL MODEL 181 5.4 SOIL TEMPERATURE 185 5.5
SURFACE ENERGY BALANCE 187 X CONTENTS 5.5.1 SURFACE FLUXES 188 5.5.2
EVAPORATION FROM UNSATURATED SOIL 190 5.5.3 TRANSPIRATION 191 5.5.4 BULK
TRANSFER COEFFICIENTS 192 5.5.5 CANOPY (VEGETATION) RESISTANCE 194 5.5.6
CANOPY WATER STORAGE 195 5.5.7 SURFACE ALBEDO 196 5.6 CARBON-DIOXIDE
BUDGET 198 5.7 VERIFICATION OF LAND-SURFACE SCHEMES 198 5.8 LAND SURFACE
MODELLING OVER HETEROGENEOUS SURFACES 202 5.8.1 MODELS OF DYNAMIC
EFFECTS 204 5.8.2 MODELS OF AGGREGATION EFFECTS 206 5.9 LAND-SURFACE
PARAMETERS 209 5.10 THE IMPACT OF LAND SURFACE ON CLIMATE AND WEATHER:
SOME CASE STUDIES 210 6. HYDROLOGICAL MODELLING AND FORECASTING 215
SUXIA LIU 6.1 THE HYDROSPHERE 215 6.2 MATHEMATICAL REPRESENTATION AND
SIMPLIFICATION 219 6.2.1 WATER VAPOUR 219 6.2.2 PRECIPITATION 222 6.2.3
SOIL WATER 224 6.2.4 INFILTRATION 226 6.2.5 DEPRESSION STORAGE 229 6.2.6
VEGETATION WATER 230 6.2.7 INTERCEPTION 232 6.2.8 EVAPOTRANSPIRATION 233
6.2.9 CHANNEL FLOW 235 6.2.10 OVERLAND FLOW 236 6.2.11 GROUNDWATER 237
6.2.12 WATER QUALITY 239 6.3 HYDROLOGICAL MODELLING 244 6.3.1 XINANJIANG
MODEL 245 6.3.2 TOPOMODEL 248 6.3.3 INTEGRATED HYDROLOGICAL MODELLING
SYSTEM 250 6.4 HYDROLOGICAL FORECASTING 254 6.4.1 SHORT-TERM
HYDROLOGICAL FORECASTING 255 6.4.2 MID- AND LONG-TERM HYDROLOGICAL
FORECASTING 262 6.4.3 WATER QUALITY FORECASTING 264 6.4.4 WATER SUPPLY
AND WATER DEMAND FORECASTING 267 CONTENTS XI 7. SIMULATION AND
PREDICTION OF ICE-SNOW COVER 275 GONGBING PENG 7.1 BASIC CHARACTERISTICS
OF THE GLOBAL ICE-SNOW COVER 276 7.1.1 SEA-ICE COVER 276 7.1.2 SNOW
COVER 277 7.2 ICE-SNOW INTERACTIONS WITH OTHER ENVIRONMENTAL COMPONENTS
281 7.2.1 INFLUENCES OF ICE-SNOW COVER ON THE ATMOSPHERE 281 7.2.2
EFFECTS OF THE GENERAL CIRCULATION OF THE ATMOSPHERE AND CLIMATE ON
ICE-SNOW COVER 283 7.2.3 MAIN PHYSICAL PROCESSES OF INTERACTIONS AMONG
ICE- SNOW COVER, ATMOSPHERIC CIRCULATION AND WATER CYCLE 284 7.3
NUMERICAL SIMULATION 285 7.3.1 ENERGY BALANCE MODELS 286 7.3.2
DYNAMIC-THERMODYNAMIC MODELS 291 7.3.3 THE HOLLAND MODEL 293 7.3.4
TREATMENT OF ICE-SNOW COVER IN GCMS 294 7.3.5 OTHER MODELS 299 7.4
PREDICTION OF SEA-ICE AND RELATED COMPONENTS 299 7.4.1 NUMERICAL
FORECASTING OF SEA-ICE 301 7.4.2 METEOROLOGICAL AND HYDROLOGICAL
PREDICTIONS USING ICE- SNOW COVER AS AN INDICATOR 312 8. MODELLING AND
PREDICTION OF THE TERRESTRIAL BIOSPHERE .... 317 CATHERINE CIRET 8.1
INTRODUCTION AND BACKGROUND 317 8.2 TERRESTRIAL ECOSYSTEM MODELS 319
8.2.1 MODEL OVERVIEW 319 8.2.2 MODEL VALIDATION 324 8.2.3 MODEL
LIMITATIONS AND RESEARCH NEEDS 327 8.3 MODELLING BIOSPHERE-ATMOSPHERE
INTERACTIONS 329 8.3.1 BIOSPHERE-ATMOSPHERE FEEDBACKS: OVERVIEW OF NU-
MERICAL EXPERIMENTS 329 8.3.2 DIFFERENT APPROACHES TOWARD THE
DEVELOPMENT OF AN INTERACTIVE BIOSPHERE MODEL 332 8.4 SIMULATION OF AN
INTERACTIVE VEGETATION CANOPY IN A CLI- MATE MODEL: EXAMPLE OF THE PLANT
PRODUCTION AND PHENOLOGY (PPP) MODEL 336 8.4.1 DESCRIPTION OF THE PLANT
PRODUCTION AND PHENOLOGY MODEL 336 8.4.2 APPLICATION OF THE PPP MODEL
340 8.5 SUMMARY 342 XII CONTENTS 9. THEORETICAL BASIS OF BIOLOGICAL
MODELS IN ENVIRONMENTAL SIMULATION 345 YUNHU TAN 9.1 INTRODUCTION 345
9.2 SINGLE REACTANT OR SUBSTRATE 347 9.3 MULTIPLE REACTANTS OR
SUBSTRATES 350 9.4 SUBSTRATE INHIBITION 353 9.5 PH EFFECTS 354 9.6
COMPARISON OF MODELS WITH OBSERVATIONS 357 9.7 DISCUSSION AND
CONCLUSIONS 358 10. MODELLING OF PHOTOCHEMICAL SMOG 361 HIEP DUE, VO ANH
AND MERCHED AZZI 10.1 AIR CHEMISTRY OF SMOG FORMATION 361 10.1.1
CHEMISTRY OF GROUND LEVEL OZONE FORMATION 361 10.1.2 GENERIC REACTION
SET (GRS) MECHANISM 363 10.1.3 INTEGRATED EMPIRICAL RATE (EIR) MODEL 364
10.1.4 APPLICATION 368 10.2 AIR CHEMISTRY IN AIR QUALITY MODELLING 371
10.2.1 REVIEW OF AIR QUALITY MODELLING 371 10.2.2 AIR POLLUTION
FORECASTING USING GRS AND REACTIVE STATE-SPACE MODELS 373 10.2.3 THE
EXTENDED SPACE-TIME MODEL 374 10.2.4 THE GRS MECHANISM 374 10.2.5 THE
STATE-SPACE FORM 375 10.2.6 APPLICATION 377 11. APPLICATIONS OF
INTEGRATED ENVIRONMENTAL MODELLING 383 YAPING SHAO AND SIXIONG ZHAO 11.1
RECENT DEVELOPMENTS IN INTEGRATED ENVIRONMENTAL MODELLING 383 11.2
ATMOSPHERE-OCEAN INTERACTIONS 386 11.3 ATMOSPHERE-LAND INTERACTIONS 393
11.3.1 SOIL MOISTURE SIMULATION 394 11.3.2 INFLUENCE OF LAND-SURFACE
PROCESSES ON WEATHER AND CLIMATE 399 11.4 ATMOSPHERE-OCEAN-ICE
INTERACTIONS 402 11.5 PREDICTION OF ENVIRONMENTAL CYCLES 407 11.5.1
ENERGY AND WATER CYCLE 407 11.5.2 DUST CYCLE 410 11.6 SPECIFIC EVENTS:
AIR QUALITY 418 11.7 PERFORMANCE OF INTEGRATED ENVIRONMENTAL MODELLING
SYSTEMS. 423 REFERENCES 425 INDEX 469
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indexdate | 2024-07-09T18:52:23Z |
institution | BVB |
isbn | 3540674225 |
language | English |
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physical | XII, 480 S. Ill., graph. Darst., Kt. |
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record_format | marc |
spelling | Environmental modelling and prediction Gongbing Peng ... (eds.) Berlin [u.a.] Springer 2002 XII, 480 S. Ill., graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Sciences de l'environnement - Modèles mathématiques Mathematisches Modell Environmental sciences Mathematical models Prognose (DE-588)4047390-9 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Umweltveränderung (DE-588)4304982-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Umweltveränderung (DE-588)4304982-5 s Mathematisches Modell (DE-588)4114528-8 s Prognose (DE-588)4047390-9 s DE-604 Peng, Gongbing Sonstige oth GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009442609&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Environmental modelling and prediction Sciences de l'environnement - Modèles mathématiques Mathematisches Modell Environmental sciences Mathematical models Prognose (DE-588)4047390-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Umweltveränderung (DE-588)4304982-5 gnd |
subject_GND | (DE-588)4047390-9 (DE-588)4114528-8 (DE-588)4304982-5 (DE-588)4143413-4 |
title | Environmental modelling and prediction |
title_auth | Environmental modelling and prediction |
title_exact_search | Environmental modelling and prediction |
title_full | Environmental modelling and prediction Gongbing Peng ... (eds.) |
title_fullStr | Environmental modelling and prediction Gongbing Peng ... (eds.) |
title_full_unstemmed | Environmental modelling and prediction Gongbing Peng ... (eds.) |
title_short | Environmental modelling and prediction |
title_sort | environmental modelling and prediction |
topic | Sciences de l'environnement - Modèles mathématiques Mathematisches Modell Environmental sciences Mathematical models Prognose (DE-588)4047390-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Umweltveränderung (DE-588)4304982-5 gnd |
topic_facet | Sciences de l'environnement - Modèles mathématiques Mathematisches Modell Environmental sciences Mathematical models Prognose Umweltveränderung Aufsatzsammlung |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009442609&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT penggongbing environmentalmodellingandprediction |