"Forecast models" refer to mathematical models or tools that predict or estimate future events, trends, or outcomes based on available data and patterns. They help forecasters or analysts make educated predictions about weather, economic conditions, sales, or any other area that involves forecasting.
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Extensive experience in financial reporting and cash flow management with the ability create
forecasting models for various business types.
Moreover, simple
forecast models using the indicator provide current - quarter estimates of growth in business investment and gross domestic product.
The content is divided into six sections, including an introduction, a new and better way, fall predicts winter, new
seasonal forecast model, model accuracy demonstrated, and classroom resources.
Stock analysts build complex
forecast models with many phases of differing growth to better reflect real prospects.
A
simple forecasting model using either the frequency of stressful events or the perceived intensity of these events had promising predictive value.
And it's driven by the project's duration and the need to sample as many storms as possible to have a useful effect
on forecasting models.
An advisor can help guide the decision process and provide «dollars - and - cents» calculations using sophisticated
computer forecasting models.
Elsewhere, the
background forecast model plays a stronger role, helping values of surface air temperature to be derived from other types of observation, such as sea - surface temperatures and winds.
That's based on a
new forecasting model the bank says it created, which incorporates existing data from private banks and other government institutions.
Some of the short -
term forecasting models are run hourly while other models are run every six hours or twice a day.
Medium range
numerical forecast models are currently rather consistent in projecting a continuation of the same general pattern for the rest of the month.
I enjoy solving complex business issues, and in my current role developed a standardized cost
forecasting model which helped our team reduce report preparation time by 80 %.
Since the beginning of large - scale energy system modelling in the 1970s,
energy forecasting models have been demand driven.
Then, based on the historical data and past trends, scientists build a bottom -
up forecasting model.
These decisions will incorporate short - term
market forecast models that have been employed within the firm for decades, enhanced with longer - term market forecasting tools.
The highly publicized forecasts made by some leading environmentalists are based on experimental simulations of very
complicated forecasting models that have not been found very reliable when explaining past developments.
Even when the experts involved and the
scientific forecasting models have changed, the results of the five - year forecasts have remained remarkably consistent.
Once that happens — and its predictive power is validated — the approach could be folded into
weather forecast models, researchers say.
Values of relative humidity over sea are taken from the
background forecast model not the analysis, for consistency with what is done for temperature.
To be successful in this role, you should have in - depth knowledge of risk management methods and the ability to
create forecasting models.
Analysis suggests that model combination effectively improves most of the individual seasonal forecasts and can outperform the
best forecast model.
IANS: A sophisticated flood
forecast model developed by Japanese scientists will enhance early warnings and help mitigate the impact of climate change in the flood - ravaged trans - boundary river basins of India, Pakistan and even China.
Those results were fed into an ensemble of
climate forecasting models, including the high - resolution RegCM3, which is capable of simulating daily temperatures across small sections of the United States.
«A four - percent increase in forecast accuracy at five or six days normally takes several years to achieve,» «This is a major advancement, and it is only the start of what we may see as much more data from this instrument is incorporated into operational
forecast models at the NOAA» s Environmental Modeling Center.»
This enables process - driven model development and validation following the scientific method, and is enabling proper initialization of the land surface in
operational forecast models.
In a long piece, Princeton University economist and New York Times columnist Paul Krugman says
economic forecasting models used to analyze proposed energy policies are insufficient for the task:
Several days ago, Andy Revkin did a nice post querying a number of weather forecasters and researchers about the relative merits of the
different forecast models [link], particularly since everyone seemed to be paying attention to the European model (ECMWF) rather than NOAA's GFS model.
The current research profile encompasses water resource modelling, the assimilation of data
into forecasting models and the affects on urbanization on the atmospheric boundary layer.
The multiple simulations are conducted to account for the two usual sources of uncertainty
in forecast models: (1) the errors introduced by the use of imperfect initial conditions, amplified by the chaotic nature of the evolution equations of the atmosphere, this is often referred to as sensitive dependence on the initial conditions; and (2) errors introduced because of imperfections in the model formulation, such as the approximate mathematical methods to solve the equations.
Looking at the
current forecast models for gridlock, the consequences of inaction are significant both at home and when examining our global competitiveness.
Combining observations with information from ECMWF's global
forecast model produces a comprehensive, consistent and up - to - date record of the recent climate, unavoidably also carrying a degree of uncertainty.
Weather forecast model horizontal resolution is important to achieve an accurate representation of a given storm or phenomena, but high vertical resolution is also critically important.
Conducted various researches in order to identify the economic trends and to formulate forecast models
Phrases with «forecast models»