We can perhaps learn from numerical
weather prediction where the benefits of developing global prediction models with high vertical and horizontal resolution are clear cut (confirmed most recently by predictions of Sandy).
Type 2 dynamic downscaling refers to regional weather (or climate) simulations in which the regional model's initial atmospheric conditions are forgotten (i.e., the predictions do not depend on the specific initial conditions), but results still depend on the lateral boundary conditions from a global numerical
weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a global reanalysis.
Not exact matches
Citing severe
weather predictions in New York City and especially Westchester County,
where almost half the jury lives, Caproni gave jurors the day off Wednesday.
Comparing five state - of - the - art
weather prediction models, researchers found current models can forecast both
where and how much rainfall a tropical cyclone will produce up to two days in advance.
«My vision is that, just like you have fairly reasonable
weather predictions today for what is going to happen tomorrow that have evolved to be very accurate compared to
where they started out in the 1940s and»50s, we can have that with fires,» he says.
Because the monsoon drives
weather patterns around the world and affects the stratosphere globally, this research will also improve our understanding of climate processes worldwide and will improve climate
predictions where we live.»
IMHO, the reason this made huge news at least in Europe (
where I am now) is because it is mostly in Europe that the large
weather prediction centers are pushing this idea of «decadal
predictions».
The constraining of the atmospheric model affect the
predictions where there are no observations because most of the
weather elements — except for precipitation — do not change abruptly over short distance (mathematically, we say that they are described by «spatially smooth and slowly changing functions»).
FMI is conducting important research related to climate change,
weather prediction and hydrological modeling,
where high quality field measurements are still needed beside models and satellite data.
Chief we should think of
weather and climate
predictions in terms of equations whose basic prognostic variables are probability densities ρ (X, t)
where X denotes some climatic variable and t denoted time.
1) Show us the past literature
where clear discernible, unambiguous
predictions about the trajectory of all important climate variables such as «global temperature», «global sea level», «global rain fall», «global severe
weather events» and other key «global climate» parameters were made.
When we talk about regional modeling or regional numerical
weather prediction we are really doing the same thing except that we are focusing on more and more detail for the region
where you are located.
As these models through research and development, become more skilled at higher and higher resolution and gain the capability of replicating increasingly complex
weather phenomena, the public, through the
predictions of the National
Weather Service, will be better served through more precise
weather predictions for places and times
where you are.
In an appearance on the Fox News program Your World with Neil Cavuto, Morano clamed that modern climate change
predictions are failing and that they are akin to «medieval witchcraft,
where we used to blame witches for controlling the
weather.»
Fundamentally, therefore, therefore we should think of
weather and climate
predictions in terms of equations whose basic prognostic variables are probability densities ρ (X, t)
where X denotes some climatic variable and t denoted time.