First results on two-way coupled model ICONGETM for the Central Baltic Sea

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First results on two-way coupled model ICONGETM for the Central Baltic Sea
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CC Attribution 3.0 Germany:
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2019
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English

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Abstract
To understand local phenomena over the Baltic Sea such as Coastal Upwelling or Salinity Inversion, we are coupling an atmosphere and ocean model with the Earth System Modelling Framework (ESMF). For the atmosphere, the operational model of the German Weather Service (ICON) is used in a nested limited area mode. The General Estuarine Turbulence Model (GETM) has been chosen as the local ocean model. Typical coupling issues are the different grid schemes of the models and hence, a set and choice of suitable interpolation/regridding methods is required. Within our framework, the state variables (e.g. temperature) and flux data (e.g. heat flux) have to be interpolated from ICON to GETM and vice versa. This presentation will give an overview about the coupling strategy we have applied. Furthermore, the results of first model runs are presented for the Central Baltic Sea. At first, we show results of uncoupled model simulations. Additionally, we will talk about the differences for the coupled model simulations compared to the uncoupled runs.
Mathematical model
Combinatory logic Lemma (mathematics) Mathematical model Event horizon
Wave Ocean current Link (knot theory) Divisor Different (Kate Ryan album) Thermal radiation Infinite conjugacy class property Momentum Resultant Pressure Evaporation
Surface Ocean current Link (knot theory) Direction (geometry) Water vapor Angle Spiral Food energy Rotation Degree (graph theory) Wave Ring (mathematics) Momentum Pressure Evaporation Electric current
Surface Blind spot (vehicle) Population density Ordinary differential equation Water vapor Angle Spiral Electric current Rotation
Blind spot (vehicle) Surface Population density Greatest element Observational study Direction (geometry) Water vapor Mathematical model
Blind spot (vehicle) Surface Population density Process (computing) Image resolution Mathematical model Event horizon
Surface Mathematics Hexagon Dot product Different (Kate Ryan album) Surface Point cloud Special unitary group Resultant
Surface Trigonometry Direction (geometry) Right angle
Slide rule Fluid statics Mathematical model Physical system Mathematical model
Group action Image resolution Image resolution Uniform convergence Numerical analysis Icosahedron Mathematical model Plane (geometry) Prediction Gitterverfeinerung Planck constant Nichtlineares Gleichungssystem Local ring Physical system Triangle
Area Image resolution Image resolution Uniform convergence Numerical analysis Algebraic structure Icosahedron Time domain Mathematical model Goodness of fit Prediction Gitterverfeinerung Planck constant Nichtlineares Gleichungssystem Local ring Physical system Triangle
Area Area Social class Mathematical model
Area Image resolution State of matter Uniform convergence Numerical analysis Function (mathematics) Icosahedron Area Mathematical model Prediction Gitterverfeinerung Planck constant Boundary value problem Nichtlineares Gleichungssystem Local ring Physical system Triangle
Area Scale (map) Metre Vector space Process (computing) Energy level Algebraic structure Water vapor Area Mathematical model
Free group Link (knot theory) Mass flow rate Surface Diffuser (automotive) Mathematical analysis Water vapor Mathematical analysis Open set Open set Mathematical model Boundary value problem Boundary value problem
Process (computing) INTEGRAL Connectivity (graph theory) Algebraic structure Mathematical model Food energy Area Latent heat Strategy game Atomic number Different (Kate Ryan album) Interface (chemistry) Boundary value problem Maß <Mathematik> Physical system Scale (map) Metre Link (knot theory) Theory of relativity Variable (mathematics) Open set Mathematical model Degree (graph theory) Interface (chemistry) Physical system
Free group Different (Kate Ryan album) Logic Sheaf (mathematics) Density of states Content (media) Pressure Open set Set theory Resultant Area Mathematical model
Metre Statistical hypothesis testing Area Covering space Surface Free group Image resolution Surface Moment (mathematics) Iterated function system Maxima and minima Point cloud Time domain Mathematical model Area Time domain Inference Different (Kate Ryan album) Boundary value problem Körper <Algebra> Flux Pressure Randbedingung <Mathematik>
Area Surface Slide rule 12 (number) Free group Interpolation State of matter Direction (geometry) Physical law Mathematical analysis Function (mathematics) Line (geometry) 10 (number) Mathematics Centralizer and normalizer Symmetry (physics) Different (Kate Ryan album) Parametrische Erregung Resultant Set theory
Surface 12 (number) Surface Mathematical model 10 (number) Permutation Mathematics Goodness of fit Different (Kate Ryan album) Summierbarkeit Pressure Local ring Local ring Resultant Pressure
Metre Surface Different (Kate Ryan album) Surface Pressure Pressure
Surface Noise (electronics) Mathematics Observational study Pressure
Surface Mathematics Pressure
Metre 12 (number) Mathematics Pressure Pressure
12 (number) Mathematics Closed set Water vapor Numeral (linguistics) Pressure
Surface 12 (number) Mathematics Velocity Different (Kate Ryan album) Velocity Order of magnitude Figurate number Object (grammar) Event horizon Order of magnitude Pressure
Surface Slide rule 12 (number) Presentation of a group Multiplication sign Connectivity (graph theory) Stress (mechanics) Heat transfer Mereology Mathematical model Mathematics Different (Kate Ryan album) Operator (mathematics) Pressure Evaporation Flux Area Noise (electronics) Validity (statistics) Physicalism Statistics Mathematical model Interface (chemistry) Thermal radiation Physics Vertical direction Resultant Flux Group representation
I think you're much for inviting me while I'm up a tree and like the about from you read this opportunity to talk about the cupboards model I can get so I can get them miss and that was the ocean model of
Khomeini developed for the purpose of research over the Baltic Sea
and this coupling of those 2 models I can and get some has been done by our institute and by the Institute of body CSE research and and mainly contributed so with developed from the occluding by and
so we finished this coupling about 2 months ago when we had some problems with the simulations so this is not about the to defer simulations we have time and in the beginning I
will motivate my talk with and and cost-saddling events from on the east coast of Sweden and and go tent islands and they're in July 2012 and then I will to go into the details of both uncovered models and then of course the decuplet model itself and I can get them is just the combination of the name of 2 2 and in the winter tissue
marked Delts and then I will show you the results of our simulations we the chiefs OK
and at 1st it's Gobot into detail of course in in general
am SC infections are driven by many different factors such as precipitation the radiation all winds and wind and atmospheric pressure generates facing currents and and all other things you can might imagine there's a lot of things going on at the at the interface as for the atmosphere especially is important and as a warming or cooling from below that's
what the main purpose of interest for the troposphere and I'm from the tropospheric Research Institute elected so this is why we are interested and the
fast we now look at the cost of filling and at because that billing is mainly
driven by the Ekman transport into water so we have the wind blowing along the coastline and this ring has to the specific direction along the coast and then due to the Coriolis force of you actually that the yeah you get the energy and the current service-current moves into the ocean and then we'll wind actually drives the water and it happens in a 90 degrees ankle basically so it starts you wind blowing along the coast and then you with going deeper and deeper the ocean and could the what is most would
drift away from the coast and then if the the apparatus drift away from the coast while there must be some other water
coming up and this Walters actually then coming from below the ocean's ODEs it brings then the thence
and cool and usually nutrient over which what to to what's the oceans of so also fall fishing industries it is very important and if there's new during which what the coming up then also the face a coming up as well
so this is also interesting all fishing industries and especially if called water
comes up from the bottom of the ocean then you also have the cooling of the atmosphere and then you have a feedback mechanism into both directions and that's what we want to investigate but Reese have had a study in the the beginning about available a cup of models for the Baltic Sea they have been available for all climate research and for a sentence solutions from which well
large enough for all of them actually showing that these events happened but now and we are now interested in the physical processes of what is going on and so we interest in a much higher resolution talking about a key to meet or even less and that's why we have to couple the 2 models which can handle these resolutions and
then to show you that this actually and also takes place and happens quite often I have few to animations on the left side there's so sea surface and which are measured by the the Naur 19 said let's about over D further 2 3 weeks in July 2000 so unfortunately we and there were a lot of clouds and I was not able to gain remote sensing data so far as that's why we have a a lot of white gets in here and on the right side I am I'm having doing much Central Europe I want to stop to show you that actually there's causal apalling available on the dates we are interested and hopefully I'm not missing of not might possibly the is and we will see later the results even better but said there are small green dots coming up here along the coastal year home and there's been lots of saying that the temperature is about 5 K coming less than
US of the surface and the hope for many doesn't difference he death I think you see it on the
screen even better than here only that their screen and we see it later on and even has to come from from the mainly southwest going to northeast so than the normal heavens here we have to have the what what ocean on the on the right
hand side off the direction of the wind on this fell on him this year's just on the left and that
so let's go get into the details of those models we are using so I will talk about I can and the ocean idea pursuant about the ocean weather and then I would talk also giving 2 slides about the coupling so far we have used I can
this model developed from the German Weather Service and the Max-Planck Institute in for metal gene humble and is
mainly main purpose was to develop a unified model which allows climate also weather forecasting and weather research and to combine this in 1 of what when major tool to handle of a lot of these features in they also in the the Tuesday to
flexibly group nesting capability which allows them regional nesting for or high art of resolutions which we want to have on the right-hand side you
see you have this basically looks like if you have a global domain with flex a lot of companies say how what is the resolution of this but it's large and we have some on this red area where we have a higher resolution and the German better service use it St global and Europe the main currently and was soon hopefully replace the German them in the domain over Germany which is even iris and so actually then those saw were presenting those 2 and we have and triangular structure of the course and the goods which is unstructured and
the ocean and model will uses structured rectangular model so we have a big gap then within our good structures which we will have of course so I'm not pointing
out a small scheme of the information you have to give you provide a model with to do simulation so you have
to have a or a creative or graffiti land use class of course for the land and you have to have some Re analyzes they talk fall while it is for those simulations we want to do so the 1st 4 understood to you want to initialize the model on and fully to areas
if you don't wanna do a global simulation just start refer limited areas of region assimilation of fuel then you have to have some natural boundary data which are given by also
reanalysis data that's why we use the I have a state and it on the data from these each C and W and then you know if it's only a start your model and then it then output so the bed the
ocean level the ocean model this general in transport model which has been developed and with the Institute for Baltic Sea Research and other by contributors and
they are focusing on during transport in the shallow ocean or shallow water areas and that that's why I also use this for the Baltic Sea see even for the military and and said they tried to reproduce as well that agreement features such as uploading along in of salt salinity inflows and all other things you can measure for the Baltic Sea and then they use as I already said structure vector with and this is the area we are going to but you look into it with our simulations later on this called essential Baltic Sea and
as I've done a few of the ICA model I was pointing out here in short scheme but the ocean
model which also starts with free analysis data for the surface so you the ocean model has to be driven by a mythological data which they will get from also analysis sector and then they have a bathymetry basically this is the the overview of the ocean and to know what the weather's so how deep still what and they have a river data so this flow from Rivest water coming into the Baltic Sea and open boundaries because they do also only in from a region assimilations I give a diffuse this again a few if you go
back we also have here an open boundary here the open on so you have to have some data for that as well like the letter a boundary data for the atoms
It's nearly the same and then you also get them all put at the end and the couple we have
used this is the software tool which has been developed by the United States for the system never lt's especially for their purpose but it's open source you can use of and we will follow these capping strategy by simply applying all the routines they are providing us with a null model so we have to make sure that there's an interface for each model this has been done using this specific of what the interface layer and this is a protecting about them as a generic is a generic software tool on top of the use of all this to to King's wedding of system modeling framework which allows and minimize all the amount of coding so you don't have to write all the than necessary and routines which are already available if it's just the standard routine you always call then you can use this layer and you only have to provide your model with some information like the great you want to use the variables to bit 801 to extend so you start with an initialization you prepare your coupling and then and the actual cup of model just a drives all the free components I can get and the coupling between those 2 models and for office relations of we have seen that the initialization takes a bit longer of course then before we the uncovered simulations but initially integration of your model system is so not really slowing down tuition achieved almost the same computing speed which is pretty nice and here we have some basically the energy how we do would be so we sent some data from 2 couple and and then it will disappear to both models so you can also imagine and there's a specific reason why we want to do this and I want to give an example that let's say you exchange the sea surface temperature from the ocean to the atmosphere and it's you have the or for some reason the local the ocean model calculates your sea surface temperature in degrees of sensors and your but this model doesn't ended with can be so you have never get between those data you can handle this in here you don't have to handle this and models you can handle of the difference in here so you in this case suggests at 273 caring to data and that's it so if if if you want exchange maybe some data which you might have to at before you can and put them to the next model can handle the in here we don't have to do this with a new model to so each 1 just sends and receives data so combining those 2 models to
give you the 1st this fancy scheme now but since we copper now we don't need the middle to go input furthermore for the ocean because we get it from the couple and so we have some at the logic of Fiat's we want to send from and similar to the ocean and with sense motion graphical feels like anything you can imagine and a specific with our model and you actually can define as the use of which they tell you want exchange this has not to be done before by the compare Compaq you can do it on a simulation just tell the model what you I want to see the exchange and then and thus what does it for you might be some of the sections like the ocean model needs to a free different sets of information like wind pressure and whatever and DOS not get everything and it might stops because there's an even more information but except of these the sections and you up to them use you want but many of missed is more so let's have a look into the
simulations results of our 1st
test we have applied for I can original the domain with free different nest so we have the 3 different resolutions this is due to the fact that we received our reanalysis data and resolution of 16 CUNY also the resolution which is definitely it's too large to the mall to low and the other way around for our purpose and with the nesting capability with an I can we can handle this and giving dollars tools 2 comma decimal 5 q meters in this case for this green area which just the resolution and the smallest domain for all at the sky and the blue I will be the the men of the ocean and then we have used while we have it the experience that its had folded be renationalization initialize all models after every 48 hours but do our simulations for 72 hours which allows us to someone they offer spinning up all model if there might be some inference from the initialization which we can only we have not looked into defected if we want to run all modeling for like I am not a week which we will do later on and we provide 3 initialization and we might want to do later
and for the ocean model it is nearly the same we have initialized of the uncovered simulations with the renal as data from G of X this that bothered the data and we also do a restart after 48 hours because while the 1 1 modeled after re- 48 hours he also study an owner of food it also as I already mentioned this is not excluded from the the cup of model and yeah it's into the data we actually exchange so far we exchange currently only the information which the ocean model gets from the reanalysis that so we have not looked into flux exchanges yet so we have to meet the temperature we have moments it's 10 meters but we have dew-point temperature if they pressure and we have plant cover and I can 30 Passera sees only the surface tension as before we have not looked into heat flux yet and we exchange all information every 15 minutes and their father bob maybe do it more often or even less but so the uncovered simulations for the ocean model receives every 1 hour you metallurgical data so we thought a lot we should start with less than 1 hour to see already some of differences but we didn't want to do this like every 1 minute or something to to exclude the possibility that we need in life to it for the week for the data and so these are now a in a couple of
flights I want to show you about the details we have received so far for the results and let's have a look at the sea surface temperature and in the atmosphere so this is the output on the left side so we have the up from the carpet simulation on the right side we have the output from the uncovered simulation and in between different this is now for slides state as I showed you will try to show you with the satellite data we have now happening here provided by the sea surface temperature so if this call on gets into a white or even then you actually see a much lower temperature at the coast of Sweden of or even gotten and this is actually the owners the service DeMattia which has given them with an can without any coupling by a parametrizations parametrization I believe they update their data live in once a day or something and which is really nice is that we see here this up that incoming of really far into the central Baltic Sea and I'm just mention that these lines the Orchestre you although off the area where ocean model it stops and then after the onset of this area and the use of course the data from him again and the difference so this actually really interesting because of what you see is that it's not like they're always the cupboard marvelous warm or cool it's changes so we have here and now of course we have cool areas which is happening but now we have here warmer areas as well so there's a gap in between those that die which really nice and we will soon that I can regret reacts only on those changes is the only thing we have changed in the can model and reacts already on that we also have
diseases these of symmetry from the ocean model and what we see here is nearly the same data as before because the ocean model provides I can work with that and we have also here this up early of course but that would be uncovered simulation already showed also are happening of course it's this that's why they have developed this model but there's a difference in between those results which we of course Kanzi here and it looks like that the uncovered simulation actually swam law then the other 1 cup simulation and in my opinion I'm a set of mathematics and let the mental Chicks often prefer but I believe this is the reason why this comes from the fact that if you provide your ocean what a free analysis data let's say or each are all in the Yuan the free Alice you have a linear interpolation between those states and you have at constant average wins going from 1 direction so if it's coming it's it's a it's a midnight and yes the next update of Himachal eagle data at 3 AM in the morning and the wind of midnight says the cost of filling a favorable in situation then and this will happens for the next 3 hours but since we do not that after every 15 minutes there was of course a change of the data and that's why I believe it's my personal opinion and that's this changes coming from of the sect of course but the this view saying that we have 2 Kevin's already here and there the atmosphere we already had 4 cabinets it's
even more we and try to look at the cost of goats enough-India update was taken from him and information taken from him so let's look at other data we
have so far with the good surface pressure but from the Eitel model on the left side as before we have the but covered simulation and the uncovered summation on the right side and what we see is that there are some local feedback of course is just a local information which we provide for the atmosphere and on the on the pressure by the change of the sea surface temperature but the differences are we load like like really small like 1 of the hacked a postcard which is not much but at least we see something and we also not expected that to see it will be kept because otherwise the models with 1 uncovered when really reasonable we that the book produce was was results but we see also the small differences within all simulation I hope this will not work because they're getting more and more of animations and of
the PF can handle and so we have the the the solar wind and 10 meters within the atmosphere and we see they get in the and speed which is
due to the fact that we have a difference in the
surface and pressure and then we have a the difference in the wind of course and we also have to
consider that the change of the information given by the sea surface temperature might also just produced
statistical and noise so for that reaction after doing kind of an example
study to figure out whether the small
changes in the wind speed they are all related not to the fact that we have
and see service image or more to the fact that we have a change in the initialization Data General so the same as applies also full the
marital the winds so inaudible and if you want and as before we
also see there's only a small change of the information and about temperature
then 2 meters high it's a since we have a
change in the pressure and attention when speed
we of course have a change in the temperature that is what we see here because we also have just a change in the bar about 1 can only so it's not much but as I said before that's what we hope to see we hope to see a difference but and not to see her the large get and what is
nice and that we don't know that even though we have
cost apalling we do not see a large gap
on the east of the cost of the goods and
on the coast eastern coast of Sweden we only have to
change about 1 Caviness is that so even this this cold water coming from the and yeah we knew the closing to
and yeah yeah we we don't
see a lot a lot of change and to me the temperature
although we have in the atmosphere now a gap of 4 K at the coast of coke and will cost of has been which is interesting the again I think this listening let's have a look at the
velocities in the ocean the event is actually pretty interesting because the ocean is pretty us from what the changes in the ocean of pretty small in and that the difference between the AP company uncovered simulations are actually the same magnitude so we have not really figure objects why this is actually a case an and we can really say what is the rest of the the the model actually heading into so what what this the reason for that in general but what interesting is that even though the giving of providing the ocean with this all information from the from the middle to debate s the big change already said there will be some especially for if you look into a profits which we have not done yet of for the year velocities and we also see these changes only in the
salinity which is for the ocean of course a very interesting and the salinity in this case this with the capitalism but increases all word changes increases over time so continue our covered simulations comparing to the uncovered 1 we actually see that they're changes in salinity in Greece's all of time and this I believe is pretty interesting for the ocean progresses so I hope we can gain some physical knowledge of these simulations for the Baltic Sea
and I and I want to conclude so we have now developed and we can make this model available for all and investigations of especially designed for the Baltic Sea but we can also apply to different areas as long as we have noted data for it what we already see is that there is a significant feedback related to the coupling so that the provides us with the knowledge that so we can actually use it rather than my belt because there were some paper in the literature that they only show to a statistical improvement not but actually improve a the difference in the results and mixed part will be you know further developing of the model for instance like except flex exchanges and then of course in the evaluation of validation of the data and as I already mentioned that we have to look into the use of noise other problem and then out there might be the possibility of adding other components into the model system like grace or even using the multiscale atmosphere transfer plumber from our institute with an I can and my final slide my last slide is actually the physics of the the fist we want to achieve so we want to exchange of the fluxes the radiations it operation presentation then this is what is currently done within uncovered the thank you and
and here I show you restore
artists the
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