that's my read as well, though I used to synthesize long range forecasts and articles like this about climate patterns to create short monthly articles for agricultural audiences, localized to a region... and while 55% is more likely than not, it also kinda sucks for odds of it's sometimes devastating inverse not happening.
I liked the months where it was like 70-80% odds of some phenomena, because it would be reasonable to redirect seasonal efforts and make management decisions based on those numbers. between 40-60% is more like "flip a coin, be prepared for both, I got nothin' for ya".
the stakes were higher for this sort of thing among my audience. like figuring out if one needed to dollar down for extra winterization protection for young perennials, and that general sort of thing.
In this case I didn't see any indications from the blog post that if a SSW were to happen, it would be unusually bad. How did you manage estimating severity in coinflip situations?
well, luckily I didn't have to model it out or develop a decision making tool. I could just stay in my lane of production considerations and direct people to more detailed resources on whatever practices would be relevant.
more or less my overall role was in resource navigation and development, like reference materials. my little "long range outlook" articles were something I just did as a quick thing. I got pretty good at reading national long range forecasts, parsing the relevant info for our tend-to-be-ignored area and tailoring it to the plain language of seasonal agricultural efforts. ex. "this April is almost certainly going to be wetter than the 10 year average, so finding the time for field tillage may be more difficult this spring than usual" or like how it might affect certain disease/pest pressures for certain crops.
basically, a quick summary with links to more detail, but just enough to put the thought in the head of what the story looks like next month.
that's my read as well, though I used to synthesize long range forecasts and articles like this about climate patterns to create short monthly articles for agricultural audiences, localized to a region... and while 55% is more likely than not, it also kinda sucks for odds of it's sometimes devastating inverse not happening.
I liked the months where it was like 70-80% odds of some phenomena, because it would be reasonable to redirect seasonal efforts and make management decisions based on those numbers. between 40-60% is more like "flip a coin, be prepared for both, I got nothin' for ya".
the stakes were higher for this sort of thing among my audience. like figuring out if one needed to dollar down for extra winterization protection for young perennials, and that general sort of thing.
That sounds like interesting work!
In this case I didn't see any indications from the blog post that if a SSW were to happen, it would be unusually bad. How did you manage estimating severity in coinflip situations?
well, luckily I didn't have to model it out or develop a decision making tool. I could just stay in my lane of production considerations and direct people to more detailed resources on whatever practices would be relevant.
more or less my overall role was in resource navigation and development, like reference materials. my little "long range outlook" articles were something I just did as a quick thing. I got pretty good at reading national long range forecasts, parsing the relevant info for our tend-to-be-ignored area and tailoring it to the plain language of seasonal agricultural efforts. ex. "this April is almost certainly going to be wetter than the 10 year average, so finding the time for field tillage may be more difficult this spring than usual" or like how it might affect certain disease/pest pressures for certain crops.
basically, a quick summary with links to more detail, but just enough to put the thought in the head of what the story looks like next month.