Laws@SRI-AI.ARPA (01/10/84)
From: Ken Laws <Laws@SRI-AI.ARPA> I have been talking with people interested in AI techniques for weather prediction and meteorological analysis. I would appreciate pointers to any literature or current work on this subject, especially * knowledge representations for spatial/temporal reasoning; * symbolic description of weather patterns; * capture of forecasting expertise; * inference methods for estimating meteorological variables from (spatially and temporally) sparse data; * methods of interfacing symbolic knowledge and heuristic reasoning with numerical simulation models; * any weather-related expert systems. I am aware of some recent work by Gaffney and Racer (NBS Trends and Applications, 1983) and by Taniguchi et al. (6th Pat. Rec., 1982), but I have not been following this field. A bibliography or guide to relevant literature would be welcome. -- Ken Laws
rpw3@fortune.UUCP (01/12/84)
#R:sri-arpa:-1524700:fortune:21500007:000:1342 fortune!rpw3 Jan 11 15:35:00 1984 As far as the desirability to use AI on the weather, it seems a bit out of place, when there is rumoured to be a fairly straightforward (if INCREDIBLY cpu-hungry) thermodynamic relaxation calculation that gives very good results for 24 hr prediction. It uses as input the various temperature, wind, and pressure readings from all of the U.S. weather stations, including the ones cleverly hidden away aboard most domestic DC-10's and L-1011's. Starting with those values as boundary conditions, an iterative relaxation is done to fill in the cells of the continental atmospheric model. The joke is of course (no joke!), it takes 26 hrs to run on a Illiac IV (somebody from Ames or NOAS or somewhere correct me, please). The accuracy goes up as the cell size in the model goes down, but the runtime goes up as the cube! So you can look out the window, wait 2 hours, and say, "Yup, the model was right." My cynical prediction is that either (1) by the time we develop an AI system that does as well, the deterministic systems will have obsoleted it, or more likely (2) by the time we get an AI model with the same accuracy, it will take 72 hours to run a 24 hour forecast! Rob Warnock UUCP: {sri-unix,amd70,hpda,harpo,ihnp4,allegra}!fortune!rpw3 DDD: (415)595-8444 USPS: Fortune Systems Corp, 101 Twin Dolphins Drive, Redwood City, CA 94065