LST_cci User Workshop 2020 - Shared screen with speaker view
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Good morning all!
Hi, thanks to the organisers and great talks too. Sorry if I have missed this but could I ask about the policy regarding putting pictures of people's slides on Twitter? I have assumed that this is not allowed unless the presenter has given permission but wanted to check.
Re: use LST for trend analysis - what if select area where there has not been land use (& other changes)?
Taylor, Christopher M.
Nice work... have you compared trends from Aqua and Terra? Are the trends consistent?
How will you complement LST for T2m analysis? Is it driving T2m data using LST?
Congratulations for the work Freyda. In case you're interested, we just published the paper "Surface Temperature of the Planet Earth from Satellite Data over the Period 2003–2019" in Remote Sensingand is available online: https://www.mdpi.com/2072-4292/12/12/2036
thanks Freya, nice work
Are we expecting the same trends from LST and T2m?
I will write my question on padlet
(I have seen papers based on the argument that as LST are increasing that is a proof of CC, without controlling for LU and other changes...)
Roberts voice keeps fading in and out for me
Yes, I think this is a problem with his microphone - it's the same for me. It sounds very electronic, the issue
Yes, here as well
Sorry about that - I couldn't see the chat so didn't know! I hope that my slides were clear. Please do either ask questions on Padlet or drop me an email.
Alejandro DUSSAILLANT (UK/Chile)
nice presentation Robert, almost all audio was OK, just brief issues, a word here and there, overall very clear (nice slides)
Simon Pinnock (ESA)
I have a point to make
I have a point
Taylor, Christopher M.
I have a suggestion about an aspect to focus on (2nd bullet)
I would like to raise a basic point. First, we need to convince scientific community why not T2m and why LST. Of course data availability and all. But I find people relate more to T2m than LST. Also, LST is complicated, (is it skin temp, radiative temp).
Also limited air temperature observation data set across the Arctic.
Global temperature trends obtained from air temperature data can be replicated with surface temperature obtained from satellite data.
Directly use current LST would be hard since if we want to have a consistent assessment based on LST similar with T2, the data length, accuracy, and stability can be challenges. At NCEI, we are currently updating climate normal, which is based on thirty year observations between 1980 and 2010. We don't really have an operational climate quality LST product last that long. When we are looking at extending with AVHRR data, the orbital drift made it rather difficult to get the stable dataset. Last, the accuracy of the current LST data is likely larger than the signal we can see in the data it self. LST CCI is a great step forward, but moving to operational climate quality LST data is important. Maybe some lessons can be learn from SST community such as the development of OISST data.
Totally agree with Isabel, if we could produce up to date monthly anomalies which are critically underpinned by the long-term CDR
comment on Isabel
The Arctic is an specific area which is experiencing large changes, and T2m observations are sparse but satellite observations are very plentiful. Consistency with Permafrost CCI is crucial. A big challenge over the Arctic is to improve the cloud masking for LST.
Comment on Arctic: consistency with snow cover CCI is also needed as this influences the accuracy of the LST.
Also, could LST potentially be useful for assessing the spatial extent of Arctic Amplification of Climate Change? Obviously would ideally require a 30yr+ dataset.
To follow up on Arctic: we don't have sea ice surface temperature in CCI yet. For the Arctic as a whole, this must be included.
And atmospheric correction over the maritime areas of the Arctic would be tricky.