From 843681d52e5e565bc542428ca4c3e4580d9cb4c1 Mon Sep 17 00:00:00 2001 From: Dr Griffith Rees Date: Fri, 5 Jul 2024 17:42:33 +0100 Subject: [PATCH 1/4] fix: add placeholder link for `clim-recal` dataset exports --- src/content/blogs/platform_v2.md | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/src/content/blogs/platform_v2.md b/src/content/blogs/platform_v2.md index eb8707d..50dfba1 100644 --- a/src/content/blogs/platform_v2.md +++ b/src/content/blogs/platform_v2.md @@ -52,11 +52,8 @@ If you're interested in having your country in Popgetter, we would love to work #### Clim-recal: A climate bias correction dataset for 3 cities Climate change, and the increase in frequent extreme weather events, is one of the largest challenges that urban areas will face over the next 30 years. -One of the key tools to understanding how climate will change in the future is large physics-based simulations. The Met Office provides a number of these -down to a 2km grid scale, which could help us understand and prepare for climate change at the city scale. Unfortunately, for a number of reasons -(limited spatial resolution, simplified thermodynamics, etc), the projections at a small scale can be systematically off. Bias correction is a suite of -methods that aims to correct these systematic errors by comparing simulations to historic observations of the climate. It uses the discrepancies between -the simulation and the models to find ways to correct them that can be applied to future predictions. + +One of the key tools to understanding how climate will change in the future is large physics-based simulations. The Met Office provides a number of these down to a 2km grid scale, which could help us understand and prepare for climate change at the city scale. Unfortunately, for a number of reasons (limited spatial resolution, simplified thermodynamics, etc), the projections at a small scale can be systematically off. Bias correction is a suite of methods that aims to correct these systematic errors by comparing simulations to historic observations of the climate. It uses the discrepancies between the simulation and the models to find ways to correct them that can be applied to future predictions. There exists a large number of different ways of doing this kind of bias correction and it's hard to know which to apply when, especially for non-climate experts. These methods also need the historic data and simulations to be aligned both spatially and temporally. @@ -64,7 +61,7 @@ There exists a large number of different ways of doing this kind of bias correct That's why we are releasing a set of combined observation and simulation datasets for 3 cities in the UK and inviting authors of bias correction methods to benchmark their methods for those cities. -You can find the data here and the metrics for scoring the data here (TODO add links once Griff has the website up). +You can find the data here and the metrics for scoring the data [here](https://alan-turing-institute.github.io/clim-recal/docs/datasets.html). Once we have these metrics, we plan to release bias-corrected climate projections for the whole of the UK and make them accessible for a number of use cases. From 1fd6f07b24c3e1dc7c0966560de5903e948c7040 Mon Sep 17 00:00:00 2001 From: Dr Griffith Rees Date: Tue, 9 Jul 2024 15:20:26 +0100 Subject: [PATCH 2/4] doc: add text and link to `clim-recal` `datasets` page --- src/content/blogs/platform_v2.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/src/content/blogs/platform_v2.md b/src/content/blogs/platform_v2.md index f75cd42..b2b623c 100644 --- a/src/content/blogs/platform_v2.md +++ b/src/content/blogs/platform_v2.md @@ -7,6 +7,7 @@ authors: - sam_greenbury - dustin_carlino - anna_zanchetta + - griff-rees publish_date: 2024-05-08 projects: - popgetter @@ -69,13 +70,15 @@ If you're interested in having your country in Popgetter, we would love to work Climate change, and the increase in frequent extreme weather events, is one of the largest challenges that urban areas will face over the next 30 years. -One of the key tools to understanding how climate will change in the future is large physics-based simulations. The Met Office provides a number of these down to a 2km grid scale, which could help us understand and prepare for climate change at the city scale. Unfortunately, for a number of reasons (limited spatial resolution, simplified thermodynamics, etc), the projections at a small scale can be systematically off. Bias correction is a suite of methods that aims to correct these systematic errors by comparing simulations to historic observations of the climate. It uses the discrepancies between the simulation and the models to find ways to correct them that can be applied to future predictions. +One of the key tools to understanding how climate will change in the future is large physics-based simulations. The Met Office provides a number of these down to a 2km grid scale, which could help us understand and prepare for climate change at the city scale. + +Unfortunately, for a number of reasons (limited spatial resolution, simplified thermodynamics, etc), the projections at a small scale can be systematically off. Bias correction is a suite of methods that aims to correct these systematic errors by comparing simulations to historic observations of the climate. It uses the discrepancies between the simulation and the models to find ways to correct them that can be applied to future predictions. There exists a large number of different ways of doing this kind of bias correction and it's hard to know which to apply when, especially for non-climate experts. These methods also need the historic data and simulations to be aligned both spatially and temporally. ![clim-recal diagram](/blog_content/v2_release/clim_recal_process.png) -That's why we are releasing a set of combined observation and simulation datasets for three cities in the UK and inviting authors of bias correction methods to benchmark their methods for those cities. +That's why we are releasing a set of combined observation and simulation datasets for three cities in the UK and inviting authors of bias correction methods to benchmark their methods for those cities. We will be providing sample results soon on our [Exported Datasets](https://alan-turing-institute.github.io/clim-recal/docs/datasets.html) page. #### Vulnerable Populations Explorer From 733bd0fe26ac94b6d160f77a68feead9672a5b5a Mon Sep 17 00:00:00 2001 From: Dr Griffith Rees Date: Tue, 9 Jul 2024 15:22:37 +0100 Subject: [PATCH 3/4] doc: fix author reference --- src/content/blogs/platform_v2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/blogs/platform_v2.md b/src/content/blogs/platform_v2.md index b2b623c..144e364 100644 --- a/src/content/blogs/platform_v2.md +++ b/src/content/blogs/platform_v2.md @@ -7,7 +7,7 @@ authors: - sam_greenbury - dustin_carlino - anna_zanchetta - - griff-rees + - griffith_rees publish_date: 2024-05-08 projects: - popgetter From 1fdbf22ea2b677118d97c0c80750cb341db51f40 Mon Sep 17 00:00:00 2001 From: Dr Griffith Rees Date: Tue, 9 Jul 2024 17:28:32 +0100 Subject: [PATCH 4/4] doc: fix typos and link contributors to `clim-recal` --- src/content/blogs/platform_v2.md | 1 - src/content/people/ruth_bowyer.md | 2 +- src/content/project/clim_recal.md | 12 ++++++++---- 3 files changed, 9 insertions(+), 6 deletions(-) diff --git a/src/content/blogs/platform_v2.md b/src/content/blogs/platform_v2.md index 144e364..77954ea 100644 --- a/src/content/blogs/platform_v2.md +++ b/src/content/blogs/platform_v2.md @@ -7,7 +7,6 @@ authors: - sam_greenbury - dustin_carlino - anna_zanchetta - - griffith_rees publish_date: 2024-05-08 projects: - popgetter diff --git a/src/content/people/ruth_bowyer.md b/src/content/people/ruth_bowyer.md index 8b89522..f9dbc01 100644 --- a/src/content/people/ruth_bowyer.md +++ b/src/content/people/ruth_bowyer.md @@ -1,6 +1,6 @@ --- firstName: "Ruth" -lastName: "Bower" +lastName: "Bowyer" avatarURL: "https://www.turing.ac.uk/sites/default/files/styles/people/public/2023-01/profeshpic.jpg?itok=5-ydqsmF" --- diff --git a/src/content/project/clim_recal.md b/src/content/project/clim_recal.md index 341cd51..2b629a8 100644 --- a/src/content/project/clim_recal.md +++ b/src/content/project/clim_recal.md @@ -6,7 +6,7 @@ image: alt: "Image of hills with trees and the glow of a fire behind them" tags: ["modelling", "quality of life", "land use"] github: "https://github.com/alan-turing-institute/clim-recal" -link: "https://github.com/alan-turing-institute/clim-recal" +link: "https://alan-turing-institute.github.io/clim-recal" tier: 2 funders: "Turing ASG, SoCaR" pis: @@ -14,11 +14,15 @@ pis: - gavin_shaddick team: - ruth_bowyer - - bowen_zhang - - griffith_rees - - greg_mingas - jennifer_ding + - sam_greenbury + - stuart_lynn - harry_meacher + - greg_mingas + - griffith_rees + - andy_smith + - camila_rangel_smith + - bowen_zhang --- Regional climate models (RCMs) contain systematic errors, or biases in their output [1]. Biases arise in RCMs for a number of reasons, such as the assumptions in the general circulation models (GCMs), and in the downscaling process from GCM to RCM [1,2].