Doge reduced warning and response time for the Texas flood.

The event was like a massive hurricane storm surge that you get 45 minutes to react to....No days worth of warnings with Jim Cantore standing in the water someplace.
:lmao:
 
You gotta wonder if leaders had cell phones for emergencies. And if they did, why they didn't act upon warnings that were broadcast at 100 am Friday morning to immediately seek higher ground.

The camp website has crashed. I can only read what google can find where it says all electronic devices are banned.
 
Yes, it's quite possible
How possible is "quite possible?"

How do you measure that against "might be possible," for example?

Too bad Democrats and Republicans (and "not Democrats") did nothing while once vital functions of government were co-opted into wasteful, DEI driven, pork, graft, and sinecures for political supporters.

If they had played it stratight, It would not have been necessary to cut so much that we can now confidently state that it might conceivably maybe by some stretch of the imagination and squinty-eyed guesswork be that there is a non-zero probability that the cuts could have had some unmeasurable effect that in the distant future possibly can be said to be harmful if the least optimistic estimate is used!
 
I sure as hell wouldn't hear tornado sirens in the middle of the night.
Many a house blown away while people are sleeping, but the pathetic OP needs a tragedy to further his Stage 4 TDS.
Tornado sirens are meant to be heard outdoors. Where these people at campgrounds were.

Stop trying to deflect.
 
Going to a Christian summer camp should not be a death sentence. The surviving girls will forever be affected.
 
15th post
So is it the fault of the NWS if 4 inches of snow is forecast and 8 inches fell?
This is a new level of stupid.
They are pretty good at predicting how much rain will fall in a certain time frame. Not perfect, by any mean, but pretty damn close.
The National Weather Service (NWS) determines expected rainfall amounts within a specific timeframe using a complex process that involves combining several data sources and forecasting techniques.
1. Data Collection and Analysis:
  • Observations: The NWS gathers data from a variety of sources, including surface observations, weather balloons, satellites, and radar.
  • Weather Radar: NEXRAD (Next Generation Radar) systems detect precipitation and its intensity by measuring the energy returned to the radar after striking precipitation particles. Dual-polarization radar capabilities enhance the ability to distinguish different types of precipitation, such as rain and snow, and improve rainfall estimation.
  • Satellite Imagery: Satellite data provides insights into cloud cover, storm movement, and other weather patterns.
  • Computer Models: Numerical weather prediction (NWP) models, complex computer programs, simulate atmospheric behavior and provide forecast guidance.
2. Forecasting Techniques:
  • Quantitative Precipitation Forecasts (QPFs): These forecasts specify the amount of liquid precipitation expected over a defined period, considering melted snow or ice.
  • Ensemble Forecasting: This advanced technique involves running multiple models with slightly varied initial conditions to produce a range of possible outcomes, offering a probabilistic view of future rainfall.
  • Integration of Data: Forecasters evaluate and integrate data from the various sources mentioned above, including computer model outputs, satellite imagery, radar data, and observations, to determine the most likely rainfall amounts.
3. Output and Refinement:
  • Gridded Products: The NWS produces gridded precipitation estimates and forecasts, often on a 4 km x 4 km grid, allowing for localized information.
  • Forecaster Expertise: Experienced forecasters utilize computer programs to visualize and analyze data, such as drawing isohyets (lines of equal rainfall), to refine and adjust model outputs.
  • Update Frequency: Forecasts are regularly updated, with more frequent updates during rapidly changing weather conditions or severe weather events.
4. Probabilistic Information:
  • Probabilistic QPFs (PQPFs): These indicate the chance of a certain rainfall amount being equaled or exceeded in a specific location.
  • Probabilistic Maps: NWS also provides maps depicting the most likely rainfall, a reasonable upper-end scenario (10% chance of exceeding), and a reasonable lower-end scenario (10% chance of less rainfall) for planning purposes.
In essence, the NWS utilizes a combination of advanced technology, data analysis, and expert judgment to generate accurate and timely rainfall forecasts for specific timeframes.
 
They are pretty good at predicting how much rain will fall in a certain time frame. Not perfect, by any mean, but pretty damn close.
The National Weather Service (NWS) determines expected rainfall amounts within a specific timeframe using a complex process that involves combining several data sources and forecasting techniques.
1. Data Collection and Analysis:
  • Observations: The NWS gathers data from a variety of sources, including surface observations, weather balloons, satellites, and radar.
  • Weather Radar: NEXRAD (Next Generation Radar) systems detect precipitation and its intensity by measuring the energy returned to the radar after striking precipitation particles. Dual-polarization radar capabilities enhance the ability to distinguish different types of precipitation, such as rain and snow, and improve rainfall estimation.
  • Satellite Imagery: Satellite data provides insights into cloud cover, storm movement, and other weather patterns.
  • Computer Models: Numerical weather prediction (NWP) models, complex computer programs, simulate atmospheric behavior and provide forecast guidance.
2. Forecasting Techniques:
  • Quantitative Precipitation Forecasts (QPFs): These forecasts specify the amount of liquid precipitation expected over a defined period, considering melted snow or ice.
  • Ensemble Forecasting: This advanced technique involves running multiple models with slightly varied initial conditions to produce a range of possible outcomes, offering a probabilistic view of future rainfall.
  • Integration of Data: Forecasters evaluate and integrate data from the various sources mentioned above, including computer model outputs, satellite imagery, radar data, and observations, to determine the most likely rainfall amounts.
3. Output and Refinement:
  • Gridded Products: The NWS produces gridded precipitation estimates and forecasts, often on a 4 km x 4 km grid, allowing for localized information.
  • Forecaster Expertise: Experienced forecasters utilize computer programs to visualize and analyze data, such as drawing isohyets (lines of equal rainfall), to refine and adjust model outputs.
  • Update Frequency: Forecasts are regularly updated, with more frequent updates during rapidly changing weather conditions or severe weather events.
4. Probabilistic Information:
  • Probabilistic QPFs (PQPFs): These indicate the chance of a certain rainfall amount being equaled or exceeded in a specific location.
  • Probabilistic Maps: NWS also provides maps depicting the most likely rainfall, a reasonable upper-end scenario (10% chance of exceeding), and a reasonable lower-end scenario (10% chance of less rainfall) for planning purposes.
In essence, the NWS utilizes a combination of advanced technology, data analysis, and expert judgment to generate accurate and timely rainfall forecasts for specific timeframes.

They're not perfect, but they're pretty damn good at what they do. I've always been shocked at how accurate the forecasts have been lately.

I kid you not, last year, one day we were out fishing. The forecast said the rain would start at 2pm. We got the boat into the dock and into the lift. We were sitting down eating some snacks and heard the first drop of rain hit the roof of the dock. I looked at my phone. 2:03pm. I was ******* IMPRESSED.
 
In essence, the NWS utilizes a combination of advanced technology, data analysis, and expert judgment to generate accurate and timely rainfall forecasts for specific timeframes.
I believe I mentioned that previously.
 

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