Ocean forecasting: conceptual basis and applications ; with 7 tables
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2002
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIV, 472 S. graph. Darst., Kt. |
| ISBN: | 3540679642 |
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| 245 | 1 | 0 | |a Ocean forecasting |b conceptual basis and applications ; with 7 tables |c Nadia Pinardi ... (ed.) |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2002 | |
| 300 | |a XXIV, 472 S. |b graph. Darst., Kt. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Maritime Meteorologie - Aufsatzsammlung | |
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TABLE
OF
CONTENTS
LIST
OF
CONTRIBUTORS
.
XVII
1
STRATEGIE
PLANNING
FOR
OPERATIONAL
OCEANOGRAPHY
.
1
N
ICHOLAS
C.
F
LEMMING
1.1
INTRODUCTION
.
1
1.2
EARLY
DEVELOPMENTS,
THE
COMPARISON
WITH
METEOROLOGY
.
2
1.3
ORIGINSOFGOOS
.
4
1.4
REGIONAL
OPERATIONAL
OCEAN
SYSTEMS
.
8
1.5
CONCLUSIONS
.
15
2
SATELLITE
OCEANOGRAPHY
FOR
OCEAN
FORECASTING
.
19
P
IERRE
-Y
VES
L
E
T
RAON
2.1
OVERVIEW
OF
SPACE
OCEANOGRAPHY
.
19
2.1.1
WHY
DO
WE
NEED
SATELLITES
FOR
OCEAN
FORECASTING?
.
19
2.1.2
SPACE
OCEANOGRAPHY
TECHNIQUES
.
20
2.1.3
SPACE
OCEANOGRAPHY
MISSIONS
.
22
2.2
SATELLITE
ALTIMETRY
.
25
2.2.1
OVERVIEW
.
25
2.2.2
MEASUREMENT
PRINCIPLE
.
26
2.2.3
CONTENT
OF
ALTIMETRIC
MEASUREMENT
.
26
2.2.4
ALTIMETER
DATA
PROCESSING
.
31
2.2.5
RESULTS
FROM
T/P
AND
ERS-1/2
.
33
2.2.6
REAL-TIME
ASPECTS
.
35
2.3
PROSPECTS
.
35
3
A
MARINE
INFORMATION
SYSTEM
FOR
OCEAN
PREDICTIONS
.
37
G
IUSEPPE
M.R.
M
ANZELLA
,
AND
MFS-VOS
G
ROUP
3.1
INTRODUCTION
.
37
3.2
MARINE
INFORMATION
SYSTEM
.
39
3.3
REQUIREMENT
FOR
MONITORING
.
42
3.4
NEAR-REAL
TIME
DATA
COLLECTION
AND
MANAGEMENT
FOR
OPERATIONAL
OCEANOGRAPHY
.
43
3.4.1
DEFINITIONS
.
44
3.4.2
SAMPLING
STRATEGIES
.
44
3.5
THE
SHIP
OF
OPPORTUNITY
PROGRAMME
IN
THE
MEDITERRANEAN
SEA
46
3.5.1
THE
COLLECTION/TRANSMISSION
SYSTEM
.
47
3.5.2
THE
DATA
COLLECTION
PROCEDURES
AND
QUALITY
CONTROL
ON
BOARD
.49
3.5.3
DATA
QUALITY
CONTROL
.
50
3.5.4
NEAR
REAL
TIME
DATA
FLOW
.
50
3.6
DISCUSSION
AND
CONCLUSIONS
.
50
4
A
GENERALIZATION
OF
A
SIGMA
COORDINATE
OCEAN
MODEL
AND
AN
INTERCOMPARISON
OF
MODEL
VERTICAL
GRIDS
.
55
G
EORGE
L.
M
ELLOR
,
S
IRPA
M.
H
AEKKINEN
,
T
AL
E
ZER
AND
R
ICHARD
C.
P
ATCHEN
4.1
INTRODUCTION
.
55
4.2
THE
GOVEMING
EQUATIONS
.
56
4.3
TRANSFORMATION
TO
THE
S-COORDINATE
SYSTEM
.
57
4.4
FINITE
DIFFERENCE
EQUATIONS
.
60
4.5
MODEL
STRATEGY
.
61
4.6
NUMERICAL
SIMULATIONS
COMPARING
THREE
VERTICAL
COORDINATE
SYSTEMS
.
61
4.7
ERRORS
.
68
4.8
OTHER
GRIDS
.
71
4.9
SUMMARY
.
71
5
ATMOSPHERIC
DATA
ASSIMILATION
AND
QUALITY
CONTROL
.
73
A
NDREW
C.
L
ORENC
5.1
INTRODUCTION
.
73
5.2
WHAT
IS
DATA
ASSIMILATION?
.
73
5.3
USEFUL
PRIOR
KNOWLEDGE
ABOUT
THE
ATMOSPHERE
.
74
5.4
PRODUCTS
AND
USES
OF
ASSIMILATION
.
75
5.5
THE
OPTIMAL
COMBINATION
OF
INFORMATION
.
75
5.5.1
BAYES'
THEOREM
FOR
DISCRETE
EVENTS
.
75
5.5.2
SINGLE-VARIABLE
BAYESIAN
ANALYSIS
WITH
GAUSSIAN
PROBABILITY
DISTRIBUTION
FUNCTIONS
.
76
5.5.3
ONE-DIMENSIONAL
BAYESIAN
ANALYSIS
.
78
5.5.4
PRACTICAL
ANALYSIS
METHODS
.
83
5.6
QUALITY
CONTROL
.
84
5.6.1
WHY
QUALITY
CONTROL?
.
84
5.6.2
DISCRETEBAYESTHEOREMAPPLIEDTOGROSSOBSERVATIONALERRORS
85
5.6.3
NON-GAUSSIAN
MODEL
FOR
OBSERVATIONAL
ERRORS
.
85
5.6.4
ANALYSIS,
ALLOWING
FOR
GROSS
ERRORS
.
86
5.6.5
WHAT
IS
THE
BEST
ANALYSIS?
.
87
5.7
PRACTICAL
METHODS
OF
QUALITY
CONTROL
.
89
XI
5.7.1
INDIVIDUAL
QUALITY
CONTROL
.
89
5.7.2
SIMULTANEOUS
QUALITY
CONTROL
.
89
5.7.3
VARIATIONAL
ANALYSIS
WITH
NON-GAUSSIAN
ERRORS
.
92
5.7.4
COMPARISON
.
94
5.8
MONITORING
.
96
6
SEQUENTIAL
DATA
ASSIMILATION
FOR
NONLINEAR
DYNAMICS:
THE
ENSEMBLE
KALMAN
FILTER
.
97
G
EIR
E
VENSEN
6.1
INTRODUCTION
.
97
6.2
EXTENDED
KALMAN
FILTER
.
98
6.3
ENSEMBLE
KALMAN
FILTER
.
100
6.3.1
REPRESENTATION
OF
ERROR
STATISTICS
.
101
6.3.2
PREDICTION
OF
ERROR
STATISTICS
.
102
6.3.3
AN
ANALYSIS
SCHEME
.
103
6.3.4
SUMMARY
.
105
6.4
AN
EXAMPLE
OF
THE
ANALYSIS
SCHEME
.
106
6.5
A
HIGHLY
NONLINEAR
CASE:
THE
LORENZ
EQUATIONS
.
108
6.5.1
MODEL
EQUATIONS
.
108
6.5.2
DISCUSSION
OF
CASES
.
109
6.6
AN
ENSEMBLE
KALMAN
FILTER
FOR
AN
OGCM:
PRELIMINARY
RESULTS
112
6.7
SUMMARY
.
116
7
ASSIMILATION
OF
SATELLITE
ALTIMETRY
IN
OCEAN
MODELS
.
117
K
EITH
H
AINES
7.1
INTRODUCTION
.
117
7.2
PHYSICAL
RELATIONSHIPS
BETWEEN
SEA
LEVEL
AND
HYDROGRAPHY
.117
7.3
CONVERGENCE
IN
TWIN-EXPERIMENT
ASSIMILATION
EXPERIMENTS
.122
7.4
ASSIMILATION
OF
TOPEX
DATA
INTO
THE
OCCAM
MODEL
.
124
7.5
FUTURE
DEVELOPMENT
PRIORITIES
.
128
7.6
CONCLUSIONS
.
129
8
ENSEMBLES,
FORECASTS
AND
PREDICTABILITY
.
131
A
NTONIO
N
AVARRA
8.1
INTRODUCTION
.
131
8.2
SENSITIVITY
TO
INITIAL
CONDITIONS
.
133
8.3
THE
TRADITIONAL
PARADIGM
.
135
8.4
FINITE
TIME
INSTABILITIES
.
137
8.5
ENSEMBLES
.
139
8.6
FORECASTING
WITH
ENSEMBLES
.
144
8.7
CONCLUSIONS
.
147
XII
9
ON
NORTH
ATLANTIC
INTEDECADAL
VARIABILITY:
A
STOCHASTIC
VIEW
.
149
M
OJIB
L
ATIF
,
A
XEL
T
IMMERMANN
,
A
NSELM
G
ROETZNER
,
C
HRISTIAN
E
CKERT
,
R
EINHARD
V
OSS
9.1
INTRODUCTION
.
149
9.2
THE
STOCHASTIC
CLIMATE
MODEL
.
155
9.3
QUASI-DECADAL
VARIABILITY
IN
THE
NORTH
ATLANTIC
.
160
9.4
INTERDECADAL
VARIABILITY
IN
THE
NORTH
ATLANTIC
.
164
9.5
PREDICTABILITY
OF
INTERDECADAL
VARIABILITY
IN
THE
NORTH
ATLANTIC
170
9.6
DISCUSSION
.
176
10
STRATEGY
FOR
REGIONAL
SEASONAL
FORECASTS
.
179
K
IKURO
M
IYAKODA
10.1
NUMERICAL
PREDICTIONS
IN
GENERAL
.
179
10.2
ATMOSPHERIC
AND
OCEANIC
GENERAL
CIRCULATION
MODELS
(GCMS)
180
10.2.1
BASIC
QUESTIONS
.
180
10.2.2
VERTICAL
BOUNDARY
CONDITIONS
.
181
10.2.3
NUMERICAL
ASPECTS
OF
ATMOSPHERIC
GCMS
.
182
10.2.4
SURFACE
BOUNDARY
CONDITIONS
OF
OCEANIC
GCM
(Z-COORDINATE)
183
10.3
NESTED
TECHNIQUES
.
186
10.3.1
ETA-COORDINATE
.
186
10.3.2
HORIZONTAL
GRIDS
.
186
10.3.3
POTENTIAL
DIFFICULTY
IN
MESH
NESTING
.
187
10.3.4
LATERAL
MESH
NESTING
.
189
10.4
NESTED
PREDICTIONS
.
189
10.4.1
HURRICANE
PREDICTION
.
189
10.4.2
ETA-MODEL
PREDICTION
.
191
10.5
LONG-RANGE
PREDICTION
.
193
10.5.1
CURRENT
STATE
OF
MONTHLY
FORECASTS
IN
GENERAL
.
193
10.5.2
TELECONNECTIONS
FROM
THE
TROPICS
TO
THE
MEDITERRANEAN
SEA
.193
10.6
REGIONAL
LONG-RANGE
PREDICTION
.
193
10.6.1
LIMITED
DOMAIN
30
DAY
PREDICTIONS
OVER
COMPLEX
TERRAIN
.
193
10.6.2
INDIAN
MONSOON
FORECASTS
.
194
10.7
CONCLUSIONS
AND
COMMCNTS
.
195
11
RAPID
ASSESSMENT
OF
THE
COASTAL
OCEAN
ENVIRONMENT
.
199
A
LLAN
R.
R
OBINSON
AND
J
UERGEN
S
ELLSCHOPP
11.1
INTRODUCTION
.
199
11.1.1
NOWCASTING
AND
FORECASTING
FOR
REA
.
201
11.1.2
NAVALREA
.
201
11.1.3
CIVILIANREA
.
202
11.2
NOWCASTING
AND
FORECASTING
THE
PHYSICS
.
202
11.3
IMPLICATIONS
AND
APPLICATIONS
OF
THE
PHYSICS
.
204
XIII
11.3.1
INTERDISCIPLINARY
PROCESSES
.
204
11.3.2
NAVAL
APPLICATIONS
.
204
11.3.3
FISHERIES
AND
OTHER
APPLICATIONS
.
205
11.4
THE
REA
OOPS
(OCEAN
OBSERVING
AND
PREDICTION
SYSTEM)
.
206
11.4.1
THE
OVERALL
SYSTEM
AND
COMPONENTS
.
206
11.4.2
DATA
ACQUISITION
AND
MANAGEMENT
.
207
11.5
FORECAST
SYSTEM
AND
PREDICTIVE
SKILL
EVALUATIONS
.
208
11.5.1
REGIONAL
SYSTEM
VALIDATION,
CALIBRATION
AND
VERIFICATION
.
208
11.5.2
REA
SYSTEM
VALIDATION
ISSUES
.
209
11.6
ILLUSTRATIONS
FROM
RAPID
RESPONSEEXERCISES
1996,1997,1998
210
11.6.1
LOCATION
AND
CHARACTERIZATION
OF
OPERATIONAL
REGIONS
.
211
11.6.2
METHODOLOGIES:
INITIALIZATION,
ASSIMILATION
AND
SAMPLING
.216
11.6.3
PRODUCTS
.
219
11.6.4
FORECAST
EVALUATIONS
.
220
11.6.5
ACCOMPLISHMENTS
AND
IMPLICATIONS
.
222
11.7
ORGANIZATION,
LOGISTICS
AND
RESOURCES
.
223
11.7.1
PLATFORMS
AND
RESOURCES
.
223
11.7.2
ADAPTIVE
SAMPLING
AND
ASSIMILATION
.
224
11.7.3
DATA
FUSION
AND
COMMUNICATION
.
225
11.7.4
SIMPLE
AND
COMPLEX
SYSTEMS
FOR
SPECIAL
PURPOSES
.
226
11.7.5
DISTRIBUTION
AND
IMPACT
OF
INFORMATION
.
227
11.8
SUMMARY,
CONCLUSIONS
AND
PROSPECTS
.
228
12
FORECASTING
OF
SEA-LEVEL,
CURRENTS
AND
SEA
ICE
IN
THE
BALTIC
SEA
.
231
L
ENNART
F
UNKQUIST
AND
H
ANS
D
AHLIN
12.1
INTRODUCTION
.
231
12.2
PRESENTLY
USED
FORECASTING
MODELS
AT
SMHI
.
232
12.3
OBSERVATIONS
AND
DATA
COLLECTION
.
233
12.4
SEAICE
.
234
12.5
SEA-LEVEL,
CURRENTS,
TEMPERATURE
AND
SALINITY
.
235
12.6
WINDWAVES
.
237
12.7
POST-PROCESSING
.
238
12.8
CONCLUSIONS
.
239
13
PREDICTIONS
IN
THE
NORTH
SEA
.
243
D
AVID
P
RANDLE
13.1
INTRODUCTION
.
243
13.1.1
APPROACH
.
243
13.1.2
WHAT
DO
WE
WANT
TO
PREDICT
IN
SHELF
SEAS?
.
243
13.1.3
SHELF
SEAS
-
A
GLOBAL
PERSPECTIVE
.
243
13.1.4
CHAPTER
CONTENTS
.
245
XIV
13.2
FORECASTING
DYNAMICS
AND
CONTAMINANT
MIXING
IN
THE
SEAS
OF
NORTH
WESTERN
EUROPE
.
245
13.2.1
DYNAMICS
.
247
13.3
TIDES,
SURGES,
WAVES
AND
TURBULENCE
INTENSITY
.
247
13.3.1
TEMPERATURE
AND
SALINITY
.
249
13.3.2
CONSERVATIVE
TRACERS,
CAESIUM
137
AND
DISSOLVED
METALS
.
251
13.3.3
NON-CONSERVATIVE
TRACERS
.
252
13.3.4
BIOLOGICALTRACERS
.
254
13.4
WAYS
FORWARD
-
FUTURE
DEVELOPMENTS
.
255
14
FORECASTING
WIND-DRIVEN
OCEAN
WAVES
.
267
G
ERBRAND
J.
K
OMEN
14.1
INTRODUCTION
.
267
14.2
PHENOMENOLOGY
.
267
14.2.1
DURATION
AND
FETCH-LIMITED
WAVE
GROWTH
.
268
14.2.2
SPECTRAL
EVOLUTION
.
270
14.3
THE
WAM
MODEL
.
273
14.3.1
THE
ENERGY
BALANCE
.
275
14.3.2
OPERATIONAL
APPLICATIONS
.
277
14.4
OUTLOOK
.
277
15
A
MULTIVARIATE
REDUCED-ORDER
OPTIMAL
INTERPOLATION
METHOD
AND
ITS
APPLICATION
TO
THE
MEDITERRANEAN
BASIN-SCALE
CIRCULATION
.
281
P
IERRE
D
E
M
EY
AND
M
OUNIR
B
ENKIRAN
15.1
INTRODUCTION
.
281
15.2
OPTIMAL
INTERPOLATION
ON
A
BASE
OF
EOFS
.
282
15.2.1
OPTIMAL
INTERPOLATION
.
282
15.2.2
3-DEOFS
.
283
15.2.3
VERTICALEOFS
.
286
15.2.4
LOCAL
STATISTICAL
INVERSE
.
288
15.3
ASSIMILATION
OF
SATELLITE
ALTIMETRY
IN
1993-97
IN
THE
MEDITERRANEAN
.
289
15.3.1
HOW
IS
THE
ASSIMILATION
CONFIGURED
IN
THE
MEDITERRANEAN
MODEL
.
289
15.3.2
ASSIMILATION
OF
SIMULATED
XBT
PROFILES
.
291
15.3.3
ASSIMILATION
OF
ALTIMETER
DATA
IN
1993-97
.
295
15.3.4
INFLUENCE
OF
HORIZONTAL
AND
VERTICAL
RESOLUTION
IN
THE
ASSIMILATION
.
300
15.4
A
BRIEF
SUMMARY
AND
PERSPECTIVE
.
301
XV
16
ENSO
PREDICTIONS
WITH
COUPLED
OCEAN
ATMOSPHERE
MODELS
.
307
M
ARTIN
F
ISCHER
16.1
INTRODUCTION
.
307
16.2
THE
EL
NINO
/
SOUTHERN
OSCILLATION
PHENOMENON
.
308
16.2.1
DESCRIPTION
.
308
16.2.2
ENSO
PREDICTABILITY
.
314
16.2.3
THE
IMPACT
OF
ENSO
ON
CLIMATE
AND
ECONOMY
.
316
16.3
ENSO
PREDICTION
MODELS
.
319
16.3.1
STATISTICAL
ENSO
PREDICTION
MODELS
.
319
16.3.2
PHYSICAL
ENSO
PREDICTION
MODELS
.
320
16.4
ENSO
PREDICTIONS
.
323
16.4.1
INITIALIZATION
METHODS
.
323
16.4.2
RESULTS
OF
ENSO
PREDICTION
EXPERIMENTS
.
326
16.5
INTERPRETATION
OF
ENSO
FORECAST
RESULTS
.
332
16.5.1
DEFINITION
OF
AN
APPROPRIATE
SKILL
MEASURE
.
332
16.5.2
CORRECTION
OF
SYSTEMATIC
ERRORS
.
333
16.6
SUMMARY
.
335
17
TO
WARD
MARINE
ENVIRONMENTAL
PREDICTIONS
IN
THE
MEDITERRANEAN
SEA
COASTAL
AREAS:
A
MONITORING
APPROACH
.339
N
ADIA
P
INARDI
,
F
RANCIS
A
UCLAIR
,
C
LAUDIA
C
ESARINI
,
E
NCHO
D
EMIROV
,
S
ERENA
F
ONDA
U
MANI
,
M
ICHELE
G
IANI
,
G
IUSEPPE
M
ONTANARI
,
P
AOLO
O
DDO
,
M
ARINA
T
ONANI
AND
M
ARCO
Z
AVATARELLI
17.1
INTRODUCTION
.
339
17.2
THE
MEDITERRANEAN
SEA
SHELF
AND
COASTAL
ECOSYSTEMS
.
342
17.3
THE
COASTAL
ENVIRONMENTAL
PREDICTIONS
SYSTEM
.
347
17.4
THE
MEDITERRANEAN
LARGE
SCALE
AND
ADRIATIC
COASTAL
SCALE
OBSERVING
SYSTEMS
.
353
17.5
THE
MODELING
SYSTEM
AND
THE
DATA
ASSIMILATION
COMPONENTS
358
17.5.1
THE
LARGE
AND
COASTAL
SCALE
HYDRODYNAMIC
MODELING
.
358
17.5.2
THE
ECOSYSTEM
MODELING
.
366
17.6
THE
CALIBRATION/VALIDATION
EXERCISE
IN
THE
NORTHERN
ADRIATIC
COASTAL
AREAS
.
369
17.7
CONCLUSIONS
.
373
18
PRIMITIVE
EQUATION
MODELLING
OF
PLANKTON
ECOSYSTEMS
.377
J
OHN
W
OODS
18.1
INTRODUCTION
.
377
XVI
18.1.1
BIOLOGICAL
PRIMITIVE
EQUATIONS
.
377
18.1.2
INDIVIDUAL-BASED
MODELLING
.
378
18.1.3
VIRTUAL
PLANKTON
ECOSYSTEMS
.
378
18.2
PRIMITIVE
EQUATION
MODELLING
.
379
18.2.1
CREDIBILITY
AND
VERIFICATION
.
379
18.2.2
SOFTWARE
SENSING
.
380
18.3
BIOLOGICAL
PRIMITIVE
EQUATIONS
.
380
18.3.1
COMPLEX
ADAPTIVE
SYSTEMS
.
380
18.3.2
EVOLUTION
.
381
18.4
PLANKTON
.
382
18.4.1
ONE-DIMENSIONAL
MODELLING
.
382
18.4.2
ZOOPLANKTON
.
383
18.4.3
FISHLARVAE
.
383
18.4.4
REPRODUCIBLE
LABORATORY
EXPERIMENTS
.
384
18.5
MODELLING
WITH
BIOLOGICAL
PRIMITIVE
EQUATIONS
.
384
18.5.1
INDIVIDUAL-BASED
MODELLING
.
385
18.5.2
THE
WB
FOOD
CHAIN
MODEL
.
386
18.6
THE
LAGRANGIAN
ENSEMBLE
METHOD
.
386
18.6.1
PARTICLES
AND
SUB-POPULATIONS
.
388
18.6.2
PHYSIOLOGY
AND
BEHAVIOUR
.
388
18.6.3
AMBIENT
ENVIRONMENT
.
388
18.6.4
INITIAL
AND
BOUNDARY
CONDITIONS
.
388
18.7
VIRTUAL
PLANKTON
ECOSYSTEMS
.
389
18.7.1
INTRODUCTION
.
389
18.7.2
THE
AZORES
VIRTUAL
PLANKTON
ECOSYSTEM
.
390
18.7.3
ENVIRONMENT
.
390
18.7.4
USING
AUDIT
TRAILS:
A
CASE
STUDY
.
391
18.7.5
DOITYOURSELF
.
392
18.8
POPULATION
ECOLOGY
.
393
18.8.1
STEELE
'
S
DILEMMA
.
393
18.8.2
DEMOGRAPHIE
TIME
SERIES
.
395
18.8.3
COMPUTING
DEMOGRAPHY
.
396
18.8.4
EMERGENT
DEMOGRAPHY
.
396
18.9
COMPETITION
.
398
18.9.1
COMPETITIVE
ADVANTAGE
.
399
18.9.2
COMPETITIVE
EXCLUSION
.
400
18.9.3
EVOLUTION
BY
MUTATION
.
400
18.9.4
CO-EXISTENCE
.
401
18.9.5
CONCLUSION
.
403
REFERENCES
.
429
SUBJEXT
INDEX
.
467 |
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| id | DE-604.BV014086591 |
| illustrated | Illustrated |
| indexdate | 2024-11-22T17:30:05Z |
| institution | BVB |
| isbn | 3540679642 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009649559 |
| oclc_num | 248040481 |
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| physical | XXIV, 472 S. graph. Darst., Kt. |
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| spelling | Ocean forecasting conceptual basis and applications ; with 7 tables Nadia Pinardi ... (ed.) Berlin [u.a.] Springer 2002 XXIV, 472 S. graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Maritime Meteorologie - Aufsatzsammlung Maritime Meteorologie (DE-588)4037571-7 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maritime Meteorologie (DE-588)4037571-7 s DE-604 Pinardi, Nadia Sonstige oth DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009649559&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ocean forecasting conceptual basis and applications ; with 7 tables Maritime Meteorologie - Aufsatzsammlung Maritime Meteorologie (DE-588)4037571-7 gnd |
| subject_GND | (DE-588)4037571-7 (DE-588)4143413-4 |
| title | Ocean forecasting conceptual basis and applications ; with 7 tables |
| title_auth | Ocean forecasting conceptual basis and applications ; with 7 tables |
| title_exact_search | Ocean forecasting conceptual basis and applications ; with 7 tables |
| title_full | Ocean forecasting conceptual basis and applications ; with 7 tables Nadia Pinardi ... (ed.) |
| title_fullStr | Ocean forecasting conceptual basis and applications ; with 7 tables Nadia Pinardi ... (ed.) |
| title_full_unstemmed | Ocean forecasting conceptual basis and applications ; with 7 tables Nadia Pinardi ... (ed.) |
| title_short | Ocean forecasting |
| title_sort | ocean forecasting conceptual basis and applications with 7 tables |
| title_sub | conceptual basis and applications ; with 7 tables |
| topic | Maritime Meteorologie - Aufsatzsammlung Maritime Meteorologie (DE-588)4037571-7 gnd |
| topic_facet | Maritime Meteorologie - Aufsatzsammlung Maritime Meteorologie Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009649559&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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