• Keine Ergebnisse gefunden

AWI EcosystemModelsIntercomparison

N/A
N/A
Protected

Academic year: 2022

Aktie "AWI EcosystemModelsIntercomparison"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Ecosystem Models Intercomparison

S. Losa, J. Schr¨oter, M. Wenzel

Svetlana.Losa@AWI.de

Alfred Wegener Institute

for Polar and Marine Research

AWI

Abstract

All the versions of the MERSEA biogeochemical model developed within WP7 for simulating the North Atlantic ecosystem dynamics are of a different mathematical and biological complexity and possess a number of poorly known biological parameters which have been adjusted via a data assimilation procedure. We compare the ecosystem models- in particular, LOBSTER and size dependent NPZD model- and validate them against existing biogeochemical data.

1 Models

Model of Kriest and Oschlies (2006)

The version of a nitrogen based four-compartment (NPZD) model has been developed by

I. Kri- est

and

A. Oschlies

(WP 7.2.1). In the new model, phytolpankton is implicitly presented by a spectrum of different sizes. Thus, some of the described biogeochemical process are size- dependent. (We will refer to the model as SD NPZD)

Figure 1. NPZD model schematic diagram.

P h N

Z D

P rP r

-

R

P h

6 6

β

1

G

P ?

~

6

I

k

Z

Z

2 -

(1 β

1

)G

P

λ

Z

Z μ

P

P h

λ

D

D

HHHH

HHHHj *

?

w

g dDdz

LO B STER Ecosystem M odel

(Lé(Lévyvy et al., 2006)et al., 2006)

Phytoplankton N&Chl Phytoplankton Phytoplankton

N&Chl N&Chl

Zooplankton Zooplankton Zooplankton

Detritus Detritus Detritus

NO3 NONO33

DOM NH4 DOM NH DOM NH44 Solar irradiance

The flow network between 7 biogechemical components

possesses ~ 19 biological parameters.

In the model,

photosynthetic available radiance is presenting by green and blue regions of the spectrum.

Chl:N ratio is explicitly counted, since Chl is an additional model vari- able.

Figure 2 (right). Schematic diagram of the LOBSTER model.

2 Parameter opti- mization method (WP 7.3.1.2, in co- laboration with P.J.

van Leeuwen, Uni- versiteit Utrecht)

Sequential Importance Resam- pling Filter (Smoother).

3 Data

The model is constrained by monthly mean data of

the Bermuda Atlantic Time-series Study (BATS 320N, 650W), Ocean Weather stationPAPA (500N, 1450W), the North Atlantic Bloom Experimen (NABE, 470N, 200W ), the Arabian Sea C station (AS-C, 100N, 650E), Equatorial Pacific Ocean (EqPac, 00S, 1400W), the Ross Sea (63.20S, 1700W)

particularly, by measurements of dissolved inorganic nitrogen and chlorophyll concentrations.

4 Model validation

Nonparametrical (distribution free) rank statistics (based on ”rank order”) is used as criteria of ”goodness” of model- to-data fit. See Table 1 and Table 2 to compare the quality of Lobster ecosystem model performance against a similar experiment carried out with the phytoplankton size structure SD NPZD model version. (Light brawn color indicates better agrement with the data).

Table 1. Agreement between model (Lobster and SD versions) and observed chlorophyll ”a”

PAPA NABE BATS AS-C EqPac. Ross Sea

Stat.

criteria Lobster SD Lobster SD Lobster SD Lobster SD Lobster SD Lobster SD

rsp 0.22 0.41 0.63 0.38 0.16 0.45 0.55 0.74 0.91 0.78 0.71 -0.07

MW -4.31 -0.68 -6.06 -5.91 -8.72 -1.05 -0.02 -1.29 -1.11 -2.16 -2.2 -0.84

W 4.46 0.10 4.77 4.75 13.06 3.17 0.19 2.4 2.12 4.14 0.91 1.19

Table 2. Agreement between model (simple and SD versions) and observed DIN concentrations

PAPA NABE BATS AS-C EqPac. Ross Sea

Stat.

criteria Lobster SD Lobster SD Lobster SD Lobster SD Lobster SD Lobster SD

rsp 0.67 0.67 0.1 0.027 0.61 0.77 0.20 0.095 0.52 0.57 0.83 -0.90

MW -6.70 -4.47 -7.2 -7.30 -22.8 -10.7 -1.51 -2.95 -6.80 -1.40 -1.10 -3.57

W 7.71 5.25 5.22 5.22 16.19 14.85 0.74 2.04 9.00 2.45 1.06 2.60

5 Results of

simultaneous tuning the SD NPZD and Lobster models for all the noted loca- tions

Figure 1: Chlorophyll ”a” simulated by the size-dependent NPZD eco model at 6 sites. The statistics criteria values of yellow color indicate sufficient agreement between model and observed chlorophyll, with respect to a certain criterion.

Figure 2: The time evolution of Chlorophyll ”a” simulated by the Lobster eco model at 6 sites. The statistics criteria values of yellow color indicate sufficient agreement between model and observed concentrations, with respect to a certain criterion.

6 Conclusions

Does it make any sense to combine different approaches for parameterizing biogeochemical processes (use a models hybrid)?

Nevertheless the results make us concluding that with the present versions of the ecosystem model it is not possible to reproduce the dynamics under different environmental conditions given one biological parameter set.

References

[1] Kriest, I. and Oschlies, A., 2006. Towards a new implicitly size-structured marine ecosystem model. Part I: Evalu- ating cell size-dependent nutrient uptake and exudation (submitted).

[2] L´evy, M., Gavart, M., M´emery, L., Caniaux, G. and A. Paci, 2005. A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model. J. of Geoph. Res,110, C07S21.

http://www.awi-bremerhaven.de/People/show?sloza

Referenzen

ÄHNLICHE DOKUMENTE

The OASIS project (Oceanic Seamounts: an Integrated Study), funded by the European Union under its Fifth Framework Programme, aims to provide a holistic, integrated assessment

Only model runs with spatially variable biological parameters, obtained from a previous zero-dimensional ecosystem model calibration on CZCS ocean colour data, could reproduce

The proportion of the total observed atmospheric variability ex- plained by the NAG-related flux anomalies is largest in win- ter, exceeding 50% for the surface heat flux

Main discrepancies between model and observations are a large zooplankton peak, required by the model to end the phytoplankton spring bloom at the 47øN, 20øW site, and the

Produced by a mixture of overflow waters from the Iceland-Scotland Ridge and Northeast Atlantic Water, the Charlie Gibbs Fracture Zone (CGFZ) Water forms the middle

A major reason for this low variability found in the DYNAMO (and also CME) models is the lack of horizontal resolution which does not allow a full res- olution of eddy dynamics,

In section 3 we shall discuss the results of a series of test cases and sensitivity runs: a test of the southern boundary con- dition by comparison with a CME reference

The predominant effect of model friction on small scales can also be seen in instantaneous fields of sea surface height: Fig- ure 9 displays SSH maps for a small region of