Toward building an expert system for weather forecasting operations

“It Could Be Worse, It Could Be Raining”: Reliable Automatic Meteorological Forecasting for Holiday Planning

“…Since the pioneering studies [5,9,23] and further engineering investigations on the commercial solutions [24], a first attempt going in the same direction that we following in this paper appeared in the 1990s [13] and inspired many specialized studies [19,21,17,12,4,20,10,11]. The ontological approach and the usage of the Internet of Things have been applied to forecasting quite recently [1,18] and we acknowledge that the main technical inspirations of our framework trace back these works, whereas the main influences come from the usage of non-monotonic deduction systems for sensor-based applications (clearly related to the initial part of the forecasting process) [28,8], and non-monotonic reasoning [16,25,14,15].…”

“…The observation map, which only relates data at t 0 states that which can be expressed iconographically as in Figure 5. -----------+------------+-----------------+-----------------+-----------------+-----------------+-----------------+-------------+---- -----------+------------+-----------------+-----------------+-----------------+-----------------+-----------------+-------------+---- Since the pioneering studies [5,9,23] and further engineering investigations on the commercial solutions [24], a first attempt going in the same direction that we following in this paper appeared in the 1990s [13] and inspired many specialized studies [19,21,17,12,4,20,10,11]. The ontological approach and the usage of the Internet of Things have been applied to forecasting quite recently [1,18] and we acknowledge that the main technical inspirations of our framework trace back these works, whereas the main influences come from the usage of non-monotonic deduction systems for sensor-based applications (clearly related to the initial part of the forecasting process) [28,8], and non-monotonic reasoning [16,25,14,15].…”

An expert system‐based approach to prediction of year‐to‐year climatic variations in the North Atlantic region

“…ES techniques have been applied successfully in such diverse fields as medicine, geology, chemistry, physics, engineering, law, manufacturing, process control, computer science and space technology. During the past decade or so there was an active penetration of ESs into environmental sciences (Hushon, 1990;Moninger, 1990;Varis, 1995), including oceanography (Dantzler and Scheerer, 1993), meteorology (Kumar et al, 1994) and climatology (Gopal and Scuderi, 1995). The overall picture that emerges is one of the vigorous activity and rapid growth, with many independent investigations exploring a diversity of ideas.…”

Experimental seasonal forecasts of low summer flows in the River Thames, UK, using Expert Systems

“…Meteorological and climatological applications of ES include short-range forecasts of precipitation (Honghua et al 1987, Conway 1989, Kumar et al 1994, thunderstorm activity (Conway 1989), ice cover (Rodionov & Assell 1999), visibility, winds and clouds (Rodionov & Martin 1999), and weather pattern classification (Barry & Carleton 2001). Despite these examples, none of the global seasonal to interannual forecasts listed in WMO (2003) are derived from an ES.…”