 Okay, all right, so yes, I'm the project manager for the climate science data and digital law laboratory. Now, Andrea, as the timekeeper, am I starting from 10 minutes or have I lost a minute? No, no, no, you're starting from 10 now, it's okay. Okay. I think it's time to switch. We can find it on my computer. I'm not sure if it's the connection with Zoom. Yeah, it's not actually made it to us yet. I suspect Zoom's having trouble capturing your Chrome browser when you're going full screen. Or Chrome's complaining about having too many tabs. That's not too many tabs. I can see the slides quite okay. Yeah, just do it like that. Okay, all right, we can have you to just do it like that. Yeah, that's fine. Okay, well then, yeah, all right. Okay, so I'm just going to quickly give you an overview. Describe the scope of work that we're doing and why we're doing it and talk about some of the challenges that we know we're going to face that are just part of the project. And then give a summary about what they're with. For those who are not particularly familiar with a lot of things in the climate community, there are a lot of acronyms. I will try to lighten that load as much as possible and explain them, but please feel free to ask me if I'm explaining any because some of them are just like normal words to me. Okay, so as Robert also mentioned, we're one of the projects that are funded through the RDS and SNPDA climate devil program. We have both of the project confirmed in November and we're aiming for completion in October. As a project manager, I like to lead a little bit of leeway because of the inevitable delays that will occur in terms of both completing some of the technical things as well as just, you know, as far as I'm concerned, you know, getting that documentation up and completed. So we're aiming for October and it's a, you know, the similar arrangements with the equivalent in kind matching the young net for funding from the partnership. The work that we're doing builds on from the climate and we're the science virtual laboratory, which was a next job funded project several years ago. And I was involved in that project when I worked at the U.S. University. So I'm very excited to be doing this next stage of work. We should also acknowledge our project partners. We're working with SRO, the Bureau, the Australian Center of Excellence for Climate Streams. We used to have this, the Center of Excellence for Climate Systems Science that that's now been replaced by CLICS. And they work within programs, the various science programs. Won't be seeing too much of NES and ES6E further down, but they are programs of work that are very important to our project partners. So what motivates us to do this project through all the discussions prior to defining the scope of work, you can vary that for the climate community in the next couple of years, being able to contribute to the CMIC6, the Couple Model Inter-Comparison Project A6, is their highest priority. So everything that we're doing in this project is aimed at enabling them to do that. So the effort for this CMIC6 is in two ways. It's in the model development, for example, access, the access couple model two, and access, if not one, I spelled out there, as the Australian community, or you can see it written down the bottom there, in my notes, Australian Community Climate and Assistance Simulator. It's the same acronym as is used for the Bureau's Numeric Writter prediction modelling as well, so it goes over the multiple scales. And the other part of the effort is around the data management access to local and international data sets that are used for their analysis. And it's in that second section that this project is going to focus. So why are we gonna do it? The outcomes we've defined for the project are all, I won't go into them in detail, because you can read them, but they're around the data access. They're about making sure that the climate community is in the best position possible to contribute to Seamanic Six. It's to actually broaden access to the Seamanic Six data and climate data more generally, so that the outcomes of all of that research can then go into subsequent research. And it's to make sure that the research community have got access to the tools and workplace that they need to actually complete their research in the most efficient way possible. And a big part of that is the provision of the data management services that will support their activities, both for the completion of the research and further on in the translation of that research, getting that information out to their stakeholders and to the general community. So the scope of activities, rather than talk about the specific deliverables of which we have eight, there's four main streams that work. One is, and they're in order of both effort and priority, the most important thing is the data access to the Seamanic Six data and also being able to publish the Australian data sets into the Earth System Grid Federation network as well. I'm not sure how many people are familiar with the Earth System Grid Federation, but it's an international collaboration. Talk about a little bit more in the next slide. It's an international collaboration of which NCI is one of the lead nodes, a tier one node, and it's designed for sharing data around the world prior to CMIPS, prior to ESGF, they used to use heart disks. So this is actually enabled and able to download. The other stream of work is getting access to those new tools and new analysis tools, particularly those that are defined as being required by the WCRP, improving access to the data while they're actually working on the research platform and NERDIC is the NCI's National Environmental Research Data Interoperability Platform, which is a term we use to bring together all of our data services and research platform. And then the other key bit is the use of support with all the new tools and even with the new processes that will be introduced around data publishing and replication, we need to have good interaction with our community and as I'll talk about in a minute, we need to be able to keep them up today with good progress. So going into each of those in a little more detail, the data management and replication is actually the biggest effort from an NCI perspective, but it actually has the biggest reward for the community. We're, as a tier one node, we're expected to replicate at least two petabytes, but we, through the demands of our community, the demands that they're based on, what they know that they need from the global, the global CMAP6 data sense, we're expecting at least three petabytes. As you can imagine, the research timelines often slip. So while we originally, in the earlier diagram there, there was a timeline of potentially expecting the first lot of data to come through in June this year, it's likely that we will see the majority of the data becoming available late this year or early next year. But in expectation, people can still make their research timelines. But we'll be in a situation where we're trying to download three petabytes of data in less than six months. That actually, it creates quite a high download speed and that's why the work that we're doing is quite significant in terms of installing the ESGS software onto our data transfer nodes and being able to optimise that. We can optimise it as much as we like it is then, but we can get constrained by the network. It's coming a long way, often from Europe and the US. And we are sometimes constrained by the performance of the node at the other end that we're trying to transfer data from. So there's a lot of work to do for the international coordination to make that happen. And similarly, we've got software that we need to install to for publishing the data. And that in itself has its own challenges. It's all open source software and it's sort of managed through a group of collaborators without anybody getting paid huge amounts of money to do the development of that. But it's a very interesting exercise to make it all happen. Just quickly around the software tools. These are the two ones that are required for us to get access to. So we've actually been doing a bit of work to get these installed. And we're going through an evaluation and user documentation process and looking to start doing some training on these tools in the next couple of months. The improved data access, we are going to integrate the metadata attribute service which was developed by NCI with what is called the ArcScibe API which was developed by the climate community. And that's a little tool that they used to search the really vast data sets to get the variables that they want. In team at five, it was found that scaling the search just was almost impossible and really slow. So this is a way to help that to happen for them to find the variables that they want. It will also enable them to check whether or not we have that data locally and if not be able to initiate the replication process for us to get that downloaded from the EMSGF. And then user support and training can't introduce all of these new things. You can't have efficient processes and trying to meet really tight timelines unless you've got that engagement with the users that we've defined the processes that actually support their activities and that we have the training material to help them to make the most use of both the data and the software and tools. So I can't, we can't complete this work without acknowledging our project team got very enthusiastic support from the Syros, Riftler, Trinam, the Bureau of Meteorology, Arrel, Moise and lots of Hansing and through the climate community so through Clare Parusian, Palak Trillin and NCI side, Kate Snows, our key person in engaging with the user community and our technical teams, Chris Allen and Matt Nethery. So yeah, they're just doing an amazing job to get things to the state that we're at at the moment which is, we've just started to download the, doing our replication testing and we know that we've still got a bit of work to get those speeds up but we like the work, the research is running behind and that gives us a little bit longer to get those things optimised. And so just in summary, the big hope of our work is to make the science efficient and reliable so our researchers can focus on their work. Doing this mainly for senior steps. There are those challenges which I sort of went through about the download for the massive data sets as well as actually just having that storage available for them to access. And the other part, the most important thing I think which is something that comes up from the climate community is that this project is scheduled to end in 2018 but the work we need to do will continue beyond that so we will be looking for additional funding in the future. Okay, thank you, Clare.