Computer modelling in atmospheric and oceanic sciences: building knowledge ; with 3 tables
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2004
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 285 - 294 |
| Beschreibung: | XV, 304 S. Ill., graph. Darst., Kt. 25 cm |
| ISBN: | 3540203532 |
Internformat
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| 245 | 1 | 0 | |a Computer modelling in atmospheric and oceanic sciences |b building knowledge ; with 3 tables |c Peter Müller ; Hans von Storch |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2004 | |
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| 650 | 4 | |a Atmospheric physics |x Computer simulation | |
| 650 | 4 | |a Atmospheric physics |x Mathematical models | |
| 650 | 4 | |a Oceanography |x Computer simulation | |
| 650 | 4 | |a Oceanography |x Mathematical models | |
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Datensatz im Suchindex
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| adam_text | PETER MIILLER HANS VON STORCH COMPUTER MODELLING IN ATMOSPHERIC AND
OCEANIC SCIENCES BUILDING KNOWLEDGE FOREWORD BY KLAUS HASSELMANN WITH 89
FIGURES, SOME IN COLOR, AND 3 TABLES SPRINGER CONTENTS FOREWORD V
PREFACE VII ACKNOWLEDGEMENTS IX 1 INTRODUCTION 1 1.1 MODELS 2 1.2
ENVIRONMENTAL SYSTEMS 4 1.3 TIDES 6 1.3.1 THE ROLE OF TIDES WITHIN
ENVIRONMENTAL SYSTEMS 6 1.3.2 DIFFERENT MODELING APPROACHES 9 1.4
CLIMATE 15 1.4.1 HISTORICAL DEVELOPMENT 15 1.4.2 QUASI-REALISTIC CLIMATE
MODELS 20 1.4.3 SOCIETAL RELEVANCE OF CLIMATE 21 1.5 QUASI-REALISTIC
COMPUTER MODELS .. 24 1.6 APPLICATIONS : 26 1.7 ISSUES 30 2 COMPUTER
MODELS 35 2.1 DYNAMICS 36 2.1.1 THE FUNDAMENTAL LAWS 36 2.1.2 THE
CLOSURE PROBLEMS . . 36 2.1.3 PARARNETERIZATIONS 40 2.1.4 APPROXIMATIONS
AND REPRESENTATIONS 41 2.2 NUMERICS 42 2.3 COMPUTERS 44 2.4 MODELS AS
DYNAMICAL SYSTEMS 46 2.5 MODELS AS STOCHASTIC SYSTEMS 48 2.6
PREDICTABILITY 50 XII CONTENTS 2.6.1 LIMIT OF PREDICTABILITY 51 2.6.2
FORECAST OF THE FIRST KIND 52 2.6.3 FORECAST OF THE SECOND KIND 53 3
MODELS AND DATA 55 3.1 VALIDATION 55 3.1.1 VALIDATION AS A PHILOSOPHICAL
PROBLEM 56 3.1.2 SOME COMMON APPROACHES 57 3.1.3 VALIDATION AS A
STATISTICAL PROBLEM 59 3.2 DATA ASSIMILATION 62 3.3 CALIBRATION 64 4 THE
DYNAMICS OF TIDES AND CLIMATE 69 4.1 THE TIDAL SYSTEM 70 4.1.1 THE
NATURE OF TIDES 777777. . . 70 4.1.2 LAPLACE TIDAL EQUATIONS 71 4.1.3
TIDAL LOADING AND SELF-ATTRACTION 73 4.1.4 THE TIDAL INLET PROBLEM 75 .
4.2 THE CLIMATE SYSTEM 78 4.2.1 COMPONENTS AND PROCESSES 78 4.2.2 SCALES
80 4.2.3 THE PRIMITIVE EQUATIONS 83 4.2.4 FUNDAMENTAL COGNITIVE MODELS
85 4.2.5 NATURAL AND ANTHROPOGENIC CLIMATE VARIABILITY 87 5 MODELING IN
APPLIED ENVIRONMENTAL SCIENCES * FORECASTING, ANALYSIS AND SCENARIOS 91
5.1 OPERATIONAL FORECASTS 91 5.1.1 FORECAST VERSUS PREDICTION . 91 5.1.2
TIDE AND STORM SURGE FORECASTS 93 5.1.3 WEATHER FORECASTS *. 94 5.1.4 EL
NINO SOUTHERN OSCILLATION FORECASTS * 102 5.1.5 THE SKILL OF FORECASTS
110 5.1.6 POST-PROCESSING FORECASTS 114 5.2 DATA ANALYSIS 117 5.2.1
GLOBAL REANALYSES 118 5.2.2 RECONSTRUCTION OF REGIONAL WEATHER . 127
5.2.3 TRANSPORT AND DEPOSITION OF LEAD IN EUROPE . . 132 5.2.4
ALTIMETER DATA AND THE TIDES 138 5.3 SCENARIOS 144 5.4 SECONDARY
APPLICATIONS 152 CONTENTS XIII MODELING IN FUNDAMENTAL ENVIRONMENTAL
SCIENCES * SIMULATION AND HYPOTHESIS TESTING 155 6.1 HYPOTHESIS TESTING
155 6.1.1 TIDES AND THE CORIOLIS FORCE 157 6.1.2 THE SUN AND THE LATE
MAUNDER MINIMUM 158 6.1.3 THE STOCHASTIC CLIMATE MODEL AT WORK 162 6.1.4
VALIDATING STOMMEL S THEORY OF THE THERMOHALINE CIRCULATION 166 6.1.5
VALIDATING THEORIES OF ALPINE LEE CYCLOGENESIS 169 6.2 SPECIFICATION OF
REDUCED MODELS 171 6.2.1 HEAT FLUX AND SEA SURFACE TEMPERATURE 172 6.2.2
A CONCEPTUAL ZERO-DIMENSIONAL CLIMATE MODEL 178 6.3 SIMULATI .G THE
UNOBSERVABLE 180 6.3.1 CIRF^ -TION REGIMES IN THE NORTH SEA 181 6.3.2
MULTIMODALITY IN ATMOSPHERIC DYNAMICS 182 6.3.3 TIDAL DISSIPATION 184
ISSUES AND CONCLUSIONS 191 7.1 REDUCTION OF INFORMATION 192 7.2 NEW AND
OLD MODELS 193 7.3 TRUSTWORTHINESS 194 7.4 MODEL BUILDER AND MODEL USER
196 7.5 SOCIAL AND PSYCHOLOGICAL CONDITIONING 197 7.6 FINAL CONCLUSIONS
198 APPENDICES A FLUID DYNAMICS 201 . A.I THE BALANCE EQUATIONS 201
A.1.1 MASS BALANCES , 201 A.1.2 MOMENTUM BALANCE . 203 A.I.3 ENERGY
BALANCE 203 A.2 THERMODYNAMIC SPECIFICATION 204 A.3 THE PHENOMENOLOGICAL
FLUX LAWS 206 A.4 BOUNDARY CONDITIONS 209 A.5 A CLOSER LOOK AT THE
BALANCE EQUATIONS 210 A.5.1 CLOUD FORMATION . 211 A.5.2 RADIATION 212
A.5.3 PHOTOCHEMICAL REACTIONS 215 A.6 REYNOLDS DECOMPOSITION 216 A.7
PARAMETERIZATION OF INTERIOR FLUXES 219 A.7.1 EDDY DIFFUSIVITIES 219
A.7.2 EDDY VISCOSITIES 221 A.8 PARAMETERIZATION OF BOUNDARY LAYER FLUXES
223 XIV CONTENTS A.8.1 THE CONSTANT FLUX LAYER 223 A.8.2 THE PLANETARY
BOUNDARY LAYER 225 A.9 APPROXIMATIONS 227 A.9.1 ANELASTIC APPROXIMATION
227 A.9.2 SHALLOW WATER APPROXIMATION - - 229 A. 10 REPRESENTATIONS 230
A.10.1 VERTICAL COORDINATES 231 A.10.2 DECOUPLING 231 B NUMERICS 233 B.I
DISCRETIZATION V 233 B.2 PARTIAL DIFFERENTIAL EQUATIONS 236 B.2.1
ELLIPTIC PROBLERRS 237 B.2.2 PARABOLIC PROKEMS 239 B.2.3 HYPERBOLIC P
.BBLEMS 240 B.3 STAGGERED GRIDS 244 B.4 SPECTRAL MODELS 245 B.5 FINITE
ELEMENT MODELS 249 C STATISTICAL ANALYSIS 251 C.I RANDOM VARIABLES AND
PROCESSES 252 C.I.I PROBABILITY FUNCTION 252 C.I.2 BIVARIATE RANDOM
VARIABLES 255 C.I.3 RANDOM PROCESSES 256 C.2 CHARACTERISTIC PARAMETERS
259 C.2.1 EXPECTATION VALUES 259 C.2.2 EMPIRICAL ORTHOGONAL FUNCTIONS
261 C.2.3 DECOMPOSITION OF VARIANCE 263 C.2.4 SKILL SCORES 264 C.3
INFERENCE 265 C.3.1 BASIC ASPECTS OF ESTIMATION 265 C.3.2 ESTIMATION OF
AUTO-COVARIANCE FUNCTIONS 268 C.3.3 ESTIMATION OF SPECTRA 269 C.3.4
ESTIMATION OF EOFS 270 C.3.5 HYPOTHESIS TESTING 271 D DATA ASSIMILATION
275 D.I ESTIMATION 276 D.2 FILTERING 276 D.2.1 KALMAN FILTER 277 D.2.2
OPTIMAL OR STATISTICAL INTERPOLATION 279 D.2.3 NUDGING 279 D.2.4
BLENDING AND DIRECT INSERTION 280 D.2.5 MINIMIZATION 280 D.3 SMOOTHING
281 CONTENTS XV A D.3.1 ADJOINT METHOD 281 D.3.2 INVERSE METHOD 282
D.3.3 PARAMETER ESTIMATION 283 REFERENCES 285 INDEX 295
|
| adam_txt |
PETER MIILLER HANS VON STORCH COMPUTER MODELLING IN ATMOSPHERIC AND
OCEANIC SCIENCES BUILDING KNOWLEDGE FOREWORD BY KLAUS HASSELMANN WITH 89
FIGURES, SOME IN COLOR, AND 3 TABLES SPRINGER CONTENTS FOREWORD V
PREFACE VII ACKNOWLEDGEMENTS IX 1 INTRODUCTION 1 1.1 MODELS 2 1.2
ENVIRONMENTAL SYSTEMS 4 1.3 TIDES 6 1.3.1 THE ROLE OF TIDES WITHIN
ENVIRONMENTAL SYSTEMS 6 1.3.2 DIFFERENT MODELING APPROACHES 9 1.4
CLIMATE 15 1.4.1 HISTORICAL DEVELOPMENT 15 1.4.2 QUASI-REALISTIC CLIMATE
MODELS 20 1.4.3 SOCIETAL RELEVANCE OF CLIMATE 21 1.5 QUASI-REALISTIC
COMPUTER MODELS '. 24 1.6 APPLICATIONS : 26 1.7 ISSUES 30 2 COMPUTER
MODELS 35 2.1 DYNAMICS 36 2.1.1 THE FUNDAMENTAL LAWS 36 2.1.2 THE
CLOSURE PROBLEMS . . 36 2.1.3 PARARNETERIZATIONS 40 2.1.4 APPROXIMATIONS
AND REPRESENTATIONS 41 2.2 NUMERICS 42 2.3 COMPUTERS 44 2.4 MODELS AS
DYNAMICAL SYSTEMS 46 2.5 MODELS AS STOCHASTIC SYSTEMS 48 2.6
PREDICTABILITY 50 XII CONTENTS 2.6.1 LIMIT OF PREDICTABILITY 51 2.6.2
FORECAST OF THE FIRST KIND 52 2.6.3 FORECAST OF THE SECOND KIND 53 3
MODELS AND DATA 55 3.1 VALIDATION 55 3.1.1 VALIDATION AS A PHILOSOPHICAL
PROBLEM 56 3.1.2 SOME COMMON APPROACHES 57 3.1.3 VALIDATION AS A
STATISTICAL PROBLEM 59 3.2 DATA ASSIMILATION 62 3.3 CALIBRATION 64 4 THE
DYNAMICS OF TIDES AND CLIMATE 69 4.1 THE TIDAL SYSTEM 70 4.1.1 THE
NATURE OF TIDES "777777. . . 70 4.1.2 LAPLACE TIDAL EQUATIONS 71 4.1.3
TIDAL LOADING AND SELF-ATTRACTION 73 4.1.4 THE TIDAL INLET PROBLEM 75 .
4.2 THE CLIMATE SYSTEM 78 4.2.1 COMPONENTS AND PROCESSES 78 4.2.2 SCALES
80 4.2.3 THE PRIMITIVE EQUATIONS 83 4.2.4 FUNDAMENTAL COGNITIVE MODELS
85 4.2.5 NATURAL AND ANTHROPOGENIC CLIMATE VARIABILITY 87 5 MODELING IN
APPLIED ENVIRONMENTAL SCIENCES * FORECASTING, ANALYSIS AND SCENARIOS 91
5.1 OPERATIONAL FORECASTS 91 5.1.1 FORECAST VERSUS PREDICTION . 91 5.1.2
TIDE AND STORM SURGE FORECASTS 93 5.1.3 WEATHER FORECASTS *. 94 5.1.4 EL
NINO SOUTHERN OSCILLATION FORECASTS * 102 5.1.5 THE SKILL OF FORECASTS
110 5.1.6 POST-PROCESSING FORECASTS 114 5.2 DATA ANALYSIS 117 5.2.1
GLOBAL REANALYSES 118 5.2.2 RECONSTRUCTION OF REGIONAL WEATHER . 127
5.2.3 TRANSPORT AND DEPOSITION OF LEAD IN EUROPE '. . 132 5.2.4
ALTIMETER DATA AND THE TIDES 138 5.3 SCENARIOS 144 5.4 SECONDARY
APPLICATIONS 152 CONTENTS XIII MODELING IN FUNDAMENTAL ENVIRONMENTAL
SCIENCES * SIMULATION AND HYPOTHESIS TESTING 155 6.1 HYPOTHESIS TESTING
155 6.1.1 TIDES AND THE CORIOLIS FORCE 157 6.1.2 THE SUN AND THE LATE
MAUNDER MINIMUM 158 6.1.3 THE STOCHASTIC CLIMATE MODEL AT WORK 162 6.1.4
VALIDATING STOMMEL'S THEORY OF THE THERMOHALINE CIRCULATION 166 6.1.5
VALIDATING THEORIES OF ALPINE LEE CYCLOGENESIS 169 6.2 SPECIFICATION OF
REDUCED MODELS 171 6.2.1 HEAT FLUX AND SEA SURFACE TEMPERATURE 172 6.2.2
A CONCEPTUAL ZERO-DIMENSIONAL CLIMATE MODEL 178 6.3 SIMULATI .G THE
UNOBSERVABLE 180 6.3.1 CIRF^'-TION REGIMES IN THE NORTH SEA 181 6.3.2
MULTIMODALITY IN ATMOSPHERIC DYNAMICS 182 6.3.3 TIDAL DISSIPATION 184
ISSUES AND CONCLUSIONS 191 7.1 REDUCTION OF INFORMATION 192 7.2 NEW AND
OLD MODELS 193 7.3 TRUSTWORTHINESS 194 7.4 MODEL BUILDER AND MODEL USER
196 7.5 SOCIAL AND PSYCHOLOGICAL CONDITIONING 197 7.6 FINAL CONCLUSIONS
198 APPENDICES A FLUID DYNAMICS 201 . A.I THE BALANCE EQUATIONS 201
A.1.1 MASS BALANCES , 201 A.1.2 MOMENTUM BALANCE '. 203 A.I.3 ENERGY
BALANCE 203 A.2 THERMODYNAMIC SPECIFICATION 204 A.3 THE PHENOMENOLOGICAL
FLUX LAWS 206 A.4 BOUNDARY CONDITIONS 209 A.5 A CLOSER LOOK AT THE
BALANCE EQUATIONS 210 A.5.1 CLOUD FORMATION . 211 A.5.2 RADIATION 212
A.5.3 PHOTOCHEMICAL REACTIONS 215 A.6 REYNOLDS DECOMPOSITION 216 A.7
PARAMETERIZATION OF INTERIOR FLUXES 219 A.7.1 'EDDY DIFFUSIVITIES 219
A.7.2 EDDY VISCOSITIES 221 A.8 PARAMETERIZATION OF BOUNDARY LAYER FLUXES
223 XIV CONTENTS A.8.1 THE CONSTANT FLUX LAYER 223 A.8.2 THE PLANETARY
BOUNDARY LAYER 225 A.9 APPROXIMATIONS 227 A.9.1 "ANELASTIC APPROXIMATION
227 A.9.2 SHALLOW WATER APPROXIMATION - - 229 A. 10 REPRESENTATIONS 230
A.10.1 VERTICAL COORDINATES 231 A.10.2 DECOUPLING 231 B NUMERICS 233 B.I
DISCRETIZATION V 233 B.2 PARTIAL DIFFERENTIAL EQUATIONS 236 B.2.1
ELLIPTIC PROBLERRS 237 B.2.2 PARABOLIC PROKEMS 239 B.2.3 HYPERBOLIC P
.BBLEMS 240 B.3 STAGGERED GRIDS 244 B.4 SPECTRAL MODELS 245 B.5 FINITE
ELEMENT MODELS 249 C STATISTICAL ANALYSIS 251 C.I RANDOM VARIABLES AND
PROCESSES 252 C.I.I PROBABILITY FUNCTION 252 C.I.2 BIVARIATE RANDOM
VARIABLES 255 C.I.3 RANDOM PROCESSES 256 C.2 CHARACTERISTIC PARAMETERS
259 C.2.1 EXPECTATION VALUES 259 C.2.2 EMPIRICAL ORTHOGONAL FUNCTIONS
261 C.2.3 DECOMPOSITION OF VARIANCE 263 C.2.4 SKILL SCORES 264 C.3
INFERENCE 265 C.3.1 BASIC ASPECTS OF ESTIMATION 265 C.3.2 ESTIMATION OF
AUTO-COVARIANCE FUNCTIONS 268 C.3.3 ESTIMATION OF SPECTRA 269 C.3.4
ESTIMATION OF EOFS 270 C.3.5 HYPOTHESIS TESTING 271 D DATA ASSIMILATION
275 D.I ESTIMATION 276 D.2 FILTERING 276 D.2.1 KALMAN FILTER 277 D.2.2
OPTIMAL OR STATISTICAL INTERPOLATION 279 D.2.3 NUDGING 279 D.2.4
BLENDING AND DIRECT INSERTION 280 D.2.5 MINIMIZATION 280 D.3 SMOOTHING
281 CONTENTS XV A D.3.1 ADJOINT METHOD 281 D.3.2 INVERSE METHOD 282
D.3.3 PARAMETER ESTIMATION 283 REFERENCES 285 INDEX 295 |
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| author | Müller, Peter 1944- Storch, Hans von 1949- |
| author_GND | (DE-588)1090232926 (DE-588)120770873 |
| author_facet | Müller, Peter 1944- Storch, Hans von 1949- |
| author_role | aut aut |
| author_sort | Müller, Peter 1944- |
| author_variant | p m pm h v s hv hvs |
| building | Verbundindex |
| bvnumber | BV020865679 |
| callnumber-first | Q - Science |
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| callnumber-raw | QC880 |
| callnumber-search | QC880 |
| callnumber-sort | QC 3880 |
| callnumber-subject | QC - Physics |
| classification_rvk | RB 10241 |
| ctrlnum | (OCoLC)249557714 (DE-599)BVBBV020865679 |
| dewey-full | 003.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003.3 |
| dewey-search | 003.3 |
| dewey-sort | 13.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Geologie / Paläontologie Informatik Geographie |
| discipline_str_mv | Geologie / Paläontologie Informatik Geographie |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV020865679 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:24:21Z |
| indexdate | 2024-07-09T20:27:00Z |
| institution | BVB |
| isbn | 3540203532 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014187520 |
| oclc_num | 249557714 |
| open_access_boolean | |
| owner | DE-824 DE-706 |
| owner_facet | DE-824 DE-706 |
| physical | XV, 304 S. Ill., graph. Darst., Kt. 25 cm |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Springer |
| record_format | marc |
| spelling | Müller, Peter 1944- Verfasser (DE-588)1090232926 aut Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables Peter Müller ; Hans von Storch Berlin [u.a.] Springer 2004 XV, 304 S. Ill., graph. Darst., Kt. 25 cm txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 285 - 294 Mathematisches Modell Atmospheric physics Computer simulation Atmospheric physics Mathematical models Oceanography Computer simulation Oceanography Mathematical models Computersimulation (DE-588)4148259-1 gnd rswk-swf Atmosphäre (DE-588)4003397-1 gnd rswk-swf Meereskunde (DE-588)4074685-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Atmosphäre (DE-588)4003397-1 s Computersimulation (DE-588)4148259-1 s DE-604 Meereskunde (DE-588)4074685-9 s Storch, Hans von 1949- Verfasser (DE-588)120770873 aut GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014187520&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Müller, Peter 1944- Storch, Hans von 1949- Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables Mathematisches Modell Atmospheric physics Computer simulation Atmospheric physics Mathematical models Oceanography Computer simulation Oceanography Mathematical models Computersimulation (DE-588)4148259-1 gnd Atmosphäre (DE-588)4003397-1 gnd Meereskunde (DE-588)4074685-9 gnd |
| subject_GND | (DE-588)4148259-1 (DE-588)4003397-1 (DE-588)4074685-9 (DE-588)4143413-4 |
| title | Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables |
| title_auth | Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables |
| title_exact_search | Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables |
| title_exact_search_txtP | Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables |
| title_full | Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables Peter Müller ; Hans von Storch |
| title_fullStr | Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables Peter Müller ; Hans von Storch |
| title_full_unstemmed | Computer modelling in atmospheric and oceanic sciences building knowledge ; with 3 tables Peter Müller ; Hans von Storch |
| title_short | Computer modelling in atmospheric and oceanic sciences |
| title_sort | computer modelling in atmospheric and oceanic sciences building knowledge with 3 tables |
| title_sub | building knowledge ; with 3 tables |
| topic | Mathematisches Modell Atmospheric physics Computer simulation Atmospheric physics Mathematical models Oceanography Computer simulation Oceanography Mathematical models Computersimulation (DE-588)4148259-1 gnd Atmosphäre (DE-588)4003397-1 gnd Meereskunde (DE-588)4074685-9 gnd |
| topic_facet | Mathematisches Modell Atmospheric physics Computer simulation Atmospheric physics Mathematical models Oceanography Computer simulation Oceanography Mathematical models Computersimulation Atmosphäre Meereskunde Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014187520&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT mullerpeter computermodellinginatmosphericandoceanicsciencesbuildingknowledgewith3tables AT storchhansvon computermodellinginatmosphericandoceanicsciencesbuildingknowledgewith3tables |