**5.1 Climate change simulations**

Climate research activities were mainly conducted in a joint and strict collaboration among ICTP EU-IndiaGrid team and the Computational Atmospheric Science (CAS) Department at IIT Delhi lead by Professor Dash.

Climate modelling is among the most computational power and data intensive fields, it is one of the key users of High Performance Computing Infrastructure. Grid infrastructure could be suited well to perform climates experiments since it is the best alternative for HPC as it facilitates computing power and storage space required. Moreover, it allows running a full state-of-art model and store regular output information unlike the volunteer hosts. Grid usage for climate simulation is becoming more important but still has some big limitations:


Within EuindiaGrid2 project we address and analyse the issues above presenting novel methodology to overcome some of them (data management through opendap protocols, MPI support on multicore platforms using "relocatable package" mechanism, interoperability by means of Gridway to solve complexity and heterogeneity of middleware). Scientific work was then done in order to study Indian Moonson.

Monsoon is one of the most important phenomenon's that influences various aspects of India to a great extent. India has an agro-based economy and this fact makes it crucial and important that various facets of monsoon and the associated rains be predicted as accurately as possible. It is a challenging task to all scientists for developing and tuning models for obtaining beneficial forecasts. The Indian monsoon extends over a distance of nearly 3000 km, directed to the southwest from the Himalayas [13]. Monsoon lasts from June to September. The season is dominated by the humid southwest summer monsoon, which slowly sweeps across the country beginning in late May or early June. Monsoon rains begin to recede from North India at the beginning of October. South India typically receives more rainfall. Monsoon features are difficult to be simulated by Global Climate Model (GCM) primarily because of large temporal and spatial variations.

For this reason, the ICTP regional climate model named RegCM in its last version (4.1.1) was used to study the Indian Monsoon.

Specifically a careful tuning the RegCM4.1.1 package was performed to get the correct parameterization for Indian summer monsoon simulations.

296 Grid Computing – Technology and Applications, Widespread Coverage and New Horizons

insist that the procedure should have in any case (even if it is stopped after the initial step) a final dissemination phase. The results (even negative) can be of great importance for other users as initial input when starting the Grid-enabling procedure. Several successful porting stories followed this approach as reported in the EU-IndiaGrid deliverables dedicated to

In the following subsection we report two successful and outstanding examples of scientific application within the project, which exploited at best the euro-Indian infrastructure in a

Climate research activities were mainly conducted in a joint and strict collaboration among ICTP EU-IndiaGrid team and the Computational Atmospheric Science (CAS) Department at

Climate modelling is among the most computational power and data intensive fields, it is one of the key users of High Performance Computing Infrastructure. Grid infrastructure could be suited well to perform climates experiments since it is the best alternative for HPC as it facilitates computing power and storage space required. Moreover, it allows running a full state-of-art model and store regular output information unlike the volunteer hosts. Grid usage for climate simulation is becoming more important but still has some big limitations:

Within EuindiaGrid2 project we address and analyse the issues above presenting novel methodology to overcome some of them (data management through opendap protocols, MPI support on multicore platforms using "relocatable package" mechanism, interoperability by means of Gridway to solve complexity and heterogeneity of

Monsoon is one of the most important phenomenon's that influences various aspects of India to a great extent. India has an agro-based economy and this fact makes it crucial and important that various facets of monsoon and the associated rains be predicted as accurately as possible. It is a challenging task to all scientists for developing and tuning models for obtaining beneficial forecasts. The Indian monsoon extends over a distance of nearly 3000 km, directed to the southwest from the Himalayas [13]. Monsoon lasts from June to September. The season is dominated by the humid southwest summer monsoon, which slowly sweeps across the country beginning in late May or early June. Monsoon rains begin to recede from North India at the beginning of October. South India typically receives more rainfall. Monsoon features are difficult to be simulated by Global Climate Model (GCM)

For this reason, the ICTP regional climate model named RegCM in its last version (4.1.1) was

Specifically a careful tuning the RegCM4.1.1 package was performed to get the correct

middleware). Scientific work was then done in order to study Indian Moonson.

applications and in other publication as well, see e.g. a few papers in (Cozzini, 2009).

joint collaboration among Indian and European partners.

**5.1 Climate change simulations** 

IIT Delhi lead by Professor Dash.

Limited MPI/parallel support

used to study the Indian Monsoon.

Complexity and heterogeneity of middleware

Data management issues: moving terabytes of data is not easy

primarily because of large temporal and spatial variations.

parameterization for Indian summer monsoon simulations.

In the following subsection we will discuss the porting strategy of the package toward the Euro –Indian infrastructures and the innovative solution we developed.
