@jonnyday.bsky.social
39 followers 150 following 11 posts
Scientist at ECMWF
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jonnyday.bsky.social
Cherry picking this to debunk the whole climate modelling exercise is clearly a bad faith argument, but these sort of trend errors would, at face value, be a real issue for e.g. an agro sector end user and should be a focus for model development.
jonnyday.bsky.social
Thanks for all the helpful discussions!
jonnyday.bsky.social
3. Soil moisture “memory” offers a pathway for improving summer forecasts, but only if models better capture land–atmosphere feedbacks.
jonnyday.bsky.social
2. However, some areas—like Eastern Europe and Northern India—exhibit 𝗲𝘅𝗮𝗴𝗴𝗲𝗿𝗮𝘁𝗲𝗱 𝗰𝗼𝘂𝗽𝗹𝗶𝗻𝗴, introducing forecast biases.
jonnyday.bsky.social
The key findings are:
1. Regions such as western North America, southern Europe, and Central Asia show further potential for seasonal temperature and precipitation prediction skill based on soil moisture anomalies.
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hughpumphrey.bsky.social
Today's @xkcd.com is definitely one for my atmospheric and climate sciences colleagues: xkcd.com/3107 (e.g. @gabihegerl.bsky.social @andrewdessler.com @simonleewx.com . . . )
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jonnyday.bsky.social
🌍 New preprint: "Soil-moisture-atmosphere coupling hotspots in seasonal forecasts of boreal summer" explores how soil moisture affects seasonal predictions & highlights areas for improvement. Read here: doi.org/10.21203/rs.... #ClimateScience #SeasonalForecasting #LandAtmosphereInteractions
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copernicusecmwf.bsky.social
The new #ECMWF IFS Cycle 49r1 brings some minor updates to #CopernicusAtmosphere, such as improved global emissions datasets and aerosol modelling.

Read more about the changes and the impacts for CAMS at confluence.ecmwf.int/display/COPS...