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EUPORIAS is a FP7 European Project started two years ago. The project is focused on the use of climate forecasts (seasonal and decadal) for regional impacts, to make a long story short: Climate Services. Within this project, five prototypes of climate services  will be developed. I am involved in LEAP ETHIOPIA, which has the aim to assess the value of using seasonal forecasts for a drought early warning system in Ethiopia. This prototype is not (only) about papers and science, it will be an operational service linked with the LEAP system (Livelihoods, Early Assessment and Protection) developed by Government of Ethiopia in collaboration with the World Food Program and World Bank.

It’s a big challenge, analysing the socio-economic value of climate forecasts is something difficult that involves a lot of scientific areas: climate science, agriculture, computer science and data analysis, economics and social sciences. Analysing climate information to write scientific papers is  easy compared with using the same information to deal with complex and ‘real-world’ problems.

The uncertainties in Climate

This is one of the movies produced and funded by the FP7 CLIM-RUN project. The video describes how climate works and where the uncertainty comes from, especially when we talk about climate change. There also a French version.

The uncertainties in climate change scenarios from Vegas-Deluxe on Vimeo.

2nd CLIM-RUN School: my “Learning from data” lecture

This week at the International Centre of Theoretical Physics (ICTP) in Trieste has been held. the 2nd CLIM-RUN school on Climate Services. CLIM-RUN is a FP7 Project with the aim at develop a protocol for applying new methodologies for the production of adequate climate information at regional to local scale that is relevant to and usable by different sectors (energy, agriculture, etc.).

During this winter school I gave a two-hours lecture on the use of data mining and machine learning methods for energy & meteorology applications.

Learning from data: data mining approaches for Energy & Weather/Climate applications from matteodefelice

Three things that changed the way I work

Since my first year of Ph.D. in 2007 a lot of things changed in information technologies and hardware/software. Some of them did not change anything about my usual workflow but others did in an impressive way. Here is my personal list:

  1. Cloud data: the time that Dropbox appeared it was an impressive innovations, but nowadays the cloud storage is so cheap and reliable that I don’t have to worry anymore about backups and did-I-forget-to-copy-that-directory. Today I have more than 25 Gb considering Dropbox, Google Drive, Ubuntu One and unlimited backup space on my Crashplan account. Amazing.
  2. Easy data visualization: thanks to the availability of cheap computer power today I can use a tool like R + ggplot2 that really help me to visualize data in a beautiful way and carry out easy data mining on massive data sets.
  3. RStudio Server: this is the most recent innovation in my workflow. Just using my browser I can use the powerful open-source R IDE RStudio that is running on the SGI 128 CPU 512 Gb RAM server in my lab everywhere without any lag in user interface.

DRIPping data: from climate data to climate information

Someone says that we are moving to the era of DRIP (Data Rich Information Poor), you can also call it Big Data, definitely a more appealing name, but anyway in both cases you are talking about data, not information. What’s the difference? The Merriam-Webster defines data as:

factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation

while information is defined as:

knowledge obtained from investigation, study, or instruction

So the former is just a fact while the latter is knowledge, understanding. Like the image above suggests, we obtain information from data or, better, we transform data into information.

In climate science there are a lot of data: sensor measurements, satellite data, data generated by physical models, etc. In my opinion, we can transform it into information in two ways: by the traditional experimental procedure (hypothesis <-> test) and by transforming data into something useful. Continue reading…

EGU 2013: “Application of seasonal climate forecasts for electricity demand forecasting: a case study on Italy”

These are the slides of the talk I gave at EGU 2013 in Vienna, at session CL 5.8,  ”Climate Services – Underpinning Science”

Application of seasonal climate forecasts for electricity demand forecasting: a case study on Italy from matteodefelice

EUPORIAS: Meeting the stakeholders

As I announced here, two new challenging FP7 projects on climate services have recently started. One of their goal is to improve the communication between scientist and end-user on climate information, with a specific attention to the most critical sectors like energy, tourism, water & forest management.

Last week in Rome, at the ENEA main centre, the first EUPORIAS stakeholder meeting has been held. We had the occasion to exchange ideas for two days with the stakeholders involved in this project (some of them are also involved in SPECS). One of the main outcome of this workshop has been a list of the main climate information needs of end-users and the barriers they experience in using climate information in their decision-making processes. We tried to define WHAT information they need and WHEN they need it for their decisions, and also the main issues related to resolution (spatial and temporal). This is a first step towards a more effective way to use climate information and it seemed encouraging.

Climate Services: SPECS and EUPORIAS

Finally, SPECS and EUPORIAS FP7 projects have started. Both will be focused on the use of climate information on seasonal-to-decadal time scales for critical sectors (energy, agriculture, etc).

The first, SPECS, will produce a new generation of climate prediction systems evaluating its application on various field, energy in particular. I will coordinate the WP on Pilot Applications with a particular attention on renewable energies.

The other project, EUPORIAS, has a specific focus on decision-making processes influenced by climate informations and in fact, next January in Roma a meeting with stakeholders will be held to understand their needs and coordinate pilot applications.

These two projects and another one, called NACLIM, will be part of ECOMS (European Climate Observation, Modelling and Services Initiative) initiative.

ICEM 2013

International Conference Energy & Meteorology (ICEM) 2013 will be held in Tolouse during 24-28 June 2013, have a look at their website. Last edition (in 2011) seemed very interesting with a lot of nice presentations (available on their previous website). This conference will be just few days after IEEE PowerTech 2013 which will be in Grenoble, underlining the importance of this topic for France and, more in general, Central Europe.


Our novel research group Global Climate and Predictability (GLOCAP) has a wiki at this address.We will use this space as working space, to share documents, findings, events, files. I’m building up an essential bibliography on Weather & Energy Forecasting/Modeling (with a focus on medium-term/seasonal time-scales) and on extreme weather events, giving attention to their effects on infrastructures.

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