World Climate Service
@worldclimatesvc.bsky.social
We assist Energy Meteorologists in enhancing the accuracy of their long-range forecasts while streamlining their workflow to save valuable time. https://www.worldclimateservice.com/
Improve your weather-based trading via a discussion with the World Climate Service team at next week’s Energy Trading Week Americas in Houston. We’ll be exhibiting at ETWA October 29-30. Secure your spot & visit our exhibition: energytradingweek.com/etwa25-world...
#EnergyTradingWeek #EnergyTrading
#EnergyTradingWeek #EnergyTrading
October 22, 2025 at 3:39 PM
Improve your weather-based trading via a discussion with the World Climate Service team at next week’s Energy Trading Week Americas in Houston. We’ll be exhibiting at ETWA October 29-30. Secure your spot & visit our exhibition: energytradingweek.com/etwa25-world...
#EnergyTradingWeek #EnergyTrading
#EnergyTradingWeek #EnergyTrading
Quote from the US #natgas market:
“Forecasts are for a warm Feb. BUT - of the seven >1000 GWHDD Januarys since 1990, all but one were followed by a colder than normal Feb"
It's true: a warm Feb would be unusual after such a cold Jan. But subseasonal models are pointing that way
“Forecasts are for a warm Feb. BUT - of the seven >1000 GWHDD Januarys since 1990, all but one were followed by a colder than normal Feb"
It's true: a warm Feb would be unusual after such a cold Jan. But subseasonal models are pointing that way
January 10, 2025 at 5:28 PM
Quote from the US #natgas market:
“Forecasts are for a warm Feb. BUT - of the seven >1000 GWHDD Januarys since 1990, all but one were followed by a colder than normal Feb"
It's true: a warm Feb would be unusual after such a cold Jan. But subseasonal models are pointing that way
“Forecasts are for a warm Feb. BUT - of the seven >1000 GWHDD Januarys since 1990, all but one were followed by a colder than normal Feb"
It's true: a warm Feb would be unusual after such a cold Jan. But subseasonal models are pointing that way
Reposted by World Climate Service
“Every foot of reduced water depth equates to 7,000 fewer soybean bushels per barge,” says Mike Steenhoek. Inspired by this, we analyzed 20 years of data and found surprising nuances: high water levels have an even greater impact on efficiency! Read more: www.cropprophet.com/how-mississi... 🌊🌾
January 10, 2025 at 4:19 PM
“Every foot of reduced water depth equates to 7,000 fewer soybean bushels per barge,” says Mike Steenhoek. Inspired by this, we analyzed 20 years of data and found surprising nuances: high water levels have an even greater impact on efficiency! Read more: www.cropprophet.com/how-mississi... 🌊🌾
From December 28, 2024 EC46 forecast - it's rare to see such a strong probability signal for unusual cold in the mid-latitudes at week 3.
High (calibrated) probabilities require BOTH a strong ensemble signal and a good degree of model skill
High (calibrated) probabilities require BOTH a strong ensemble signal and a good degree of model skill
December 30, 2024 at 4:34 PM
From December 28, 2024 EC46 forecast - it's rare to see such a strong probability signal for unusual cold in the mid-latitudes at week 3.
High (calibrated) probabilities require BOTH a strong ensemble signal and a good degree of model skill
High (calibrated) probabilities require BOTH a strong ensemble signal and a good degree of model skill
Niño3.4 SSTs have risen back to the 1991-2020 normal, thanks to recent strong westerly wind anomalies over the eastern equatorial Pacific.
This is a pretty striking failure of the seasonal models, especially given their high skill scores for autumn-initialized ENSO forecasts.
This is a pretty striking failure of the seasonal models, especially given their high skill scores for autumn-initialized ENSO forecasts.
November 15, 2024 at 2:27 PM
Niño3.4 SSTs have risen back to the 1991-2020 normal, thanks to recent strong westerly wind anomalies over the eastern equatorial Pacific.
This is a pretty striking failure of the seasonal models, especially given their high skill scores for autumn-initialized ENSO forecasts.
This is a pretty striking failure of the seasonal models, especially given their high skill scores for autumn-initialized ENSO forecasts.