American climate scientists must improve their climate models is one of the key messages in a recent memo issued by the Trump Administration.
Each summer the White House Office of Management and Budget and the Office of Science and Technology Policy issue areas that the US Government would like to emphasize in the following year.
The memo is intended to communicate what the government wants and influence what government agency heads request leading up to the president submitting his budget to Congress in February.
The memo is co-signed by Dr. Kelvin K Droegemeier [pictured above, left], who took up the role of Director of the Office of Science and Technology Policy earlier this year.
He is a former meteorology professor at the University of Oklahoma. It is the first time the topic has been mentioned in these memos.
It reads:
“Knowing the extent to which components of the Earth system are practicably predictable—from individual thunderstorms to long-term global change—is vitally important for physical understanding of the Earth system, assessing the value of prediction results, guiding Federal investments, developing effective policy, and improving predictive skill. Departments and agencies should prioritize R&D that helps quantify Earth system predictability across multiple phenomena, time, and space scales.”
The memo also contains an implied criticism that the federal scientific community has not effectively communicated the limitations and uncertainties is using climate models for prediction.
“Additionally, agencies should emphasize how measures of and limits to predictability, both theoretical and actual, can inform a wide array of stakeholders.
“They also should explore the application of AI and adaptive observing systems to enhance predictive skill, along with strategies for obtaining substantial improvements in computational model performance and spatial resolution across all scales.”
Concerning the oceans, Droegemeirer adds,
“Departments and agencies should prioritize new and emerging technologies and collaborative approaches to efficiently map, explore, and characterize the resources of the U.S. exclusive economic zone.
“Departments and agencies should also focus on processing and making publically available data that characterize natural resources and human activities and on R&D.”
Heads of the US scientific agencies and their subservient administrations such as NASA and NOAA have been told there is no extra money for this so they will have to take money away from other areas.
Read more at GWPF
To start with, the climate models should take into account the sun cycle.
And then, instead of some constant factor for cloud cover, the models should account for more water vapor in the atmosphere at higher temperatures, and the impact to increasing cloud coverage and rain.
But heh, ignore the sun and clouds, because they don’t impact the temperatures, right?
The climate model by the Russians is the one that most closely matches real world data. It predicts warming of 1.74 C by 2100. That is a big problem. Such warming does not support a “climate crisis” or “climate emergency” that so many political agendas are depending on. Improving the other models would lower their predictions and undermine the political climate change movement. That is what needs to happen.
During the International Geophysical Year (mid 50’s), the Russians had about 40 recording stations in their Arctic region. I wonder if they derived some information on the weather/climate at that time which they’re using now.
Oh, and NASA just released a report that states that climate models have to be about 100 times better than they are now before they can be considered trustworthy enough to use for any sort of predictions.
Then there’s IPCC themselves – who have stated that climate is a non-linear chaotic system and cannot be modeled.
And the MSM are raving even louder than usual…..
If the future of the planet is at stake, it makes sense to make plans based on the best analysis available. I wouldn’t go to the UN IPCC looking for unbiased answers.
The administration is simply acknowledging the obvious, the climate models used to pump the tires of the world’s largest fraud are incomplete, inaccurate and biased in one direction .
The UN IPCC having released a fraudulent representation of science for years are eager to distance their direct responsibility for $trillions in wasted tax payer debt and ten’s of thousands of fuel poverty deaths every year .
They failed to follow the scientific method yet pretended their projections were honest and accurate when they are not .
Stop funding the UN crime family until the IPCC apologizes and is promptly disbanded or bury the UN in law suits for their dominant roll in this massive scam .