From 27f2db6bd370e355791ab85ad470ece2b877396e Mon Sep 17 00:00:00 2001 From: Alvaro Date: Mon, 11 Nov 2024 16:59:18 +0100 Subject: [PATCH] Fix texts responsive --- src/components/energy/section-5/index.tsx | 2 +- src/components/home/section-4/index.tsx | 6 +++--- src/components/home/section-5/index.tsx | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/src/components/energy/section-5/index.tsx b/src/components/energy/section-5/index.tsx index d2eb424..3244571 100644 --- a/src/components/energy/section-5/index.tsx +++ b/src/components/energy/section-5/index.tsx @@ -15,7 +15,7 @@ export default function Section5() {
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Why storylines for energy futures?

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Why storylines for energy futures?

Storylines in climate science make climate information more relevant and understandable, aiding decision-making, especially when used with digital twin simulations.

setOpenedKnowMore(!openedKnowMore)} opened={openedKnowMore} /> diff --git a/src/components/home/section-4/index.tsx b/src/components/home/section-4/index.tsx index 8f397af..b147b3d 100644 --- a/src/components/home/section-4/index.tsx +++ b/src/components/home/section-4/index.tsx @@ -48,7 +48,7 @@ export default function Section4() {
Unlocking Future Possibilities
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Harnessing Digital Twins for on-demand simulations.
@@ -56,9 +56,9 @@ export default function Section4() {
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+
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Through interactive and configurable access to data, models and workflows, the digital twin represents an exciting opportunity to satisfy users’ curiosity.

+

Through interactive and configurable access to data, models and workflows, the digital twin represents an exciting opportunity to satisfy users’ curiosity.

setOpenedKnowMore(!openedKnowMore)} opened={openedKnowMore} /> diff --git a/src/components/home/section-5/index.tsx b/src/components/home/section-5/index.tsx index 520da74..c3f332c 100644 --- a/src/components/home/section-5/index.tsx +++ b/src/components/home/section-5/index.tsx @@ -12,7 +12,7 @@ export default function Section5() {
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Towards data streaming for efficient uptake by users.

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Towards data streaming for efficient uptake by users.

Current practice is that data generated from lower-resolution climate models is stored to disk.