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Roger Smith

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About Roger Smith

  • Rank
    INKAPABL OF EROR
  • Birthday 06/03/1949

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  • Four Letter Airport Code For Weather Obs (Such as KDCA)
    KBLI
  • Gender
    Male
  • Location:
    Burnaby, BC, Canada
  • Interests
    global climate research, golf
  1. I'm in a good spot because of all the snow that's going to start falling in two weeks.
  2. First and only call 12" RIC 10" ORF 18-24" n/c to w NC sharp cutoff south of CLT-RDU-NC/VA border at Ocean, some places n/w CLT, RDU 10" 5-7" sw to central VA to Ocean City MD 2-4" DC to BAL (0.9" DCA of course) may remain 2-4" to PA border as elevation compensates for storm intensity
  3. January anomalies and projections ... next update on 23rd for 22 days in new post ... _______________ DCA _ NYC _ BOS ___ ORD _ ATL _ IAH _____ DEN _ PHX _ SEA _____ (5d) _____ +6.8 _ +6.5 _ +7.4 __ --1.8 _ +7.3 _ +5.3 __--10.9 _ --0.1 _--11.7 ____ (10d) _____ --1.8 _ --0.6 __ 0.0 __ --4.1 _ --0.9 _ --1.0 __ --7.0 _ +1.3 _ --9.0 ____ (12d) _____ +1.5 _ +2.8 _ +3.5e__--2.7 _ +2.2 _ +2.6 __ --5.3 _ +1.4 _ --9.2 ____ (15d) _____ +3.0 _ +3.3 _ +3.5 __--1.7 _ +5.9 _ +5.5 __ --4.5 _ +1.6 _ --9.0 ____ (18d) _____ +4.3 _ +3.9 _ +4.0 __+0.4 _ +8.2 _ +7.1 __ --3.4 _ +1.2 _ --7.3 ____ (20d) _____ +4.8 _ +4.6 _ +4.5 __+1.9 _ +9.7 _ +7.4 __ --2.5 _ +0.5 _ --6.2 ___ (p27d) _____ +6.0 _ +6.0 _ +6.0 __ +4.8 _ +8.0 _ +8.5 __ --1.5 _ --1.0 _ --3.5 ___ (p31d) _____ +4.5 _ +4.5 _ +4.5 __ +3.0 _ +6.5 _ +6.5 __ --1.0 _ --1.0 _ --2.7 Snowfall to date __ 0.4 __10.1 __14.2 ___ 18.1 __ 0.0 __ 0.0 ___ 17.7 __ 0.0 __ 4.0
  4. You can't be 100% sure from tags, but I think almost all of the top ten are non-mets technically speaking (identified as mets would be Mallow, who was in the top five or six, Blazess556, SD and Stebo). I think everyone knows that Don Sutherland has a solid amount of climatology background so probably he's by experience almost a meteorologist in terms of what he knows about the science behind long range forecasting (which, let's face it, is not all that much of a science). I could say the same thing minus the reputation for insight, and in fact I do make daily forecasts for an audience, just not paid to do so (nor is that audience in North America); although this year my finish was not very great at all, but I did manage to win this contest once. But I do follow weather patterns quite closely every day. I believe some of our regulars are long-time weather enthusiasts who have picked up most if not all of what there is to know about pattern recognition and then from there it's mostly your hunches, what do you think the second half of the month will be like? The first half is more or less a partially revealed "known quantity" although we would probably give a range of estimates, my guess is that the range would be about half what the monthly forecasts usually span. I kept seeing phantom cold outbreaks and going too low with my estimates, when I was right it would be a good score, but it didn't happen often enough to make it an advantage and it turned into a disadvantage. There is probably a random factor to all this although Don always seems to be near the top of these forecast contests so I really believe he has a bit of a demonstrated edge. I wish more mets would participate in this contest. It would be interesting to see what would happen in the scoring if let's say every active member of the forum participated. My guess is a completely random distribution. I do notice with the scoring that some people join in and get consistently better with time, they must be picking up ideas that work as they go along. In my case I seem to be going in the opposite direction. There is no sign of improvement over time, I would say, this year's average error and scoring looks about the same as any given year in the past five. A score of 500 in the original six or 250 in the west usually wins a month, and consensus is usually in the low 400s (or low 200s). It varies a little, the hardest months for scoring are the extreme outcomes and that is why I relaxed scoring for big anomalies, so anyone with half a clue about it would at least get some points. If we used the same scoring metric for every month, some recent winter months would have been a whole lot of zeroes and a few 10s and maybe a 20. I think the scoring method measures skill accurately but it is an approximation of a more detailed method; I tested it out and found it was about .95 correlation so as it's a lot easier to manage, I go with it. About the late penalties -- I hate them too, but I have to impose them. I think they represent 80% punishment and 20% score adjustment for actual advantage gained. I base that on how much (if any) improvement I can make on my own score when I project the anomalies from day 5 or day 10. Sometimes those projections gain 20-40 points; my own subjective bias is probably still working its way through but I would say that somebody who entered on the fourth or fifth (when we have very large penalties) probably has only a 10% points advantage from that late entry. That's why I provided a table of actual scores before penalties, so you could see how people really compare in skill, but I would say the exact comparison would need to be adjusted, maybe remove 20% of the returned points.
  5. Currently thinking that the best snowfall opportunities will be Jan 27-28, Feb 9-10 and Feb 24-26. The pattern is not vastly different from what I was expecting but cold air is being wasted on the inter-mountain west (giving me snow) and so the flow is not troughing far enough east yet, it's not like a raging torch pattern but when cold comes it has nothing to fight against in such a low-amplitude wave pattern, developments at present are vaguely encouraging (very nice storm potential for se VA) but I wouldn't look for much to happen through mid-January until we get a bit of height building in the eastern arctic and Greenland. Thus I remain optimistic about a good snowfall total eventually, the prime period is being pushed back into the best six weeks in climatological terms (late January to early March) for east coast snowfall.
  6. The results of the contest as posted two posts back are now confirmed. The table in the post immediately before this one shows the results if contest rules awarded storms to months when their intensity levels first appeared. This would have changed the count for one storm (Hermine) which became a hurricane on September 1st. The contest rules awarded that to August. So this changed the alternate counts for August and September which exchanged one hurricane. Either way, the same three forecasters come out at the top of the scoring. Congratulations to Ohiowx, Andyhb, and wxmx for their top three performances. The best seasonal forecasts (for 15 7 3) were from the top two, Ohiowx (15 7 2) and Andyhb (15 6 3), as well as OHweather (15 8 3) who finished 7th overall. These all scored 49/50. Several others had scores above 45, well done. The top monthly forecasts (all issued in advance of the season, only one forecaster took the opportunity to revise any) came from the top three in the contest overall, Ohiowx had 43/50, Andyhb had 42.5 and wxmx had 41,5 ... each of them finished in the same order in the alternate method and had the three highest monthly forecast scores there as well, each of them 2 or 3 points higher. In fact, most of the field would score higher on the alternate method because of the way September turned out with just one other hurricane out of the five named storms. The alternate method does not fully go down the path of assigning storms to months, since you could argue that Hermine should be a named storm in September and Matthew various counts in October. Anyway, we have to choose one method and the all-in-the-first-named month method is what was used in this contest before I started scoring it in 2012. Hope everyone enjoyed the contest and look for the 2017 version to appear in May. Let's hope we don't have an Alex or May (was it Bonnie?) storm event to complicate matters, it would be great to have the contest open before the season starts. Roger over and out.
  7. So, I scored the various Norms and ... the gains on Normal are shown, with ranking for just all nine where Normal finished behind all seventeen of the forecasters who entered every month ... FORECASTER _____________ EAST __ CENTRAL __ ORIGINAL SIX __ WESTERN ___ ALL NINE ___ RANK Norm +0.5 (all forecasts 0.5) __ 262 ____ 179 _______ 441 ________ 132 _____ 573 ___________ 18th Norm +1.0 (all forecasts 1.0) __ 428 ____ 344 _______ 772 ________ 259 _____1031 ___________ 14th Norm +1.5 (all forecasts 1.5) __ 511 ____ 469 _______ 980 ________ 344 _____1324 ___________ 13th Norm +2.0 (all forecasts 2.0) __ 561 ____ 556 _______1117 ________ 407_____1524 ____________ 9th Norm +2.5 (all forecasts 2.5) __ 533 ____ 654 _______1187 ________ 445 ____ 1632 ____________ 6th Norm +3.0 (all forecasts 3.0) __ 443 ____ 658 _______1101 ________ 371 ____ 1472 ____________ 9th so it would appear that Norm + 2.7 or +2.8 might have done the best of all the "norms" and come closest to our top five. You would score higher by going +4.0 for every forecast, than to predict normal. Normal +3.0 would have won February, July, and October (when it would have won all segments), and would have finished last in May, as well as last in the west for December. So I'm thinking that a strategy where you predict +3.0 unless you feel sure it will go cold might be a very good one (a lot better than mine, anyway). Meanwhile, these are the average departures from normal for each station over the twelve months. DCA __ NYC __ BOS ____ ORD __ ATL __ IAH ____ DEN __ PHX __ SEA +2.2__ +2.2__ +2.0 ___ +2.4 __+3.3 __+1.6 ____ +1.9 __+1.7 __+2.5 Out of the 108 months, only 20 were below normal, and one was exactly normal. The average absolute departure was 2.6 degrees.
  8. The average error per forecast ranges from about 1.8 F deg at the top of the table to 3.1 F deg for random "Normal" estimates. The range is something like 1.6 to 2.8 in the original six, and 2.1 to 3.7 in the west, although in the west Normal is not the largest error range as in the original six and all nine, so in the west Normal's average error is 3.4. Your point total will correlate with this fairly well, but there are cases during the year where you might score zero but have an error larger than 5.0, or where the anomaly was larger than 5 making the points deduction smaller for errors of various sizes. If you want to estimate your own average error, take the percentage of points lost (e.g., if you scored 6500 in the all nine, a perfect score is 10,800 so you lost 4300 or about 40%) -- that would imply an average error of 2.0, but then adjust that by ten per cent (2.2 F deg) to make up for those oddball scoring cases, or scan back and take them case by case, some people probably have fewer missing deductions than others. Our group consensus is probably around 2.5 F error, 2.2 in the east/central and 2.8 in the west. As a group, we improved on random about 80% of the time (had the right anomaly sign) and by an average of 0.6 deg. Given the number of extreme forecasts (over half the total qualified) you could say we have a rather conservative bias in general. Perhaps more useful information (in terms of improving one's forecasting) could be gleaned from studying the error trends, some people are probably consistent and some are likely showing a warm or cold bias. If you can identify a bias, you can improve your results, those who scatter at random on either side won't find any tips they can use from that factoid. I will post again and reveal what other "norms" would have scored. Those other norms are always predicting +0.5, +1.0, +1.5 etc. I think one or two of those might have kicked most of our butts. And I will report on what the average anomaly was for each of the nine stations. I suspect that most had a positive average, possibly higher than +1.0 in some cases.
  9. Update on snowfalls thru Jan 20th ... showing perrcentage of contest average forecast and minimum forecast (none of those have been overtaken yet). The previous post will now be kept as a record of how December ended. (no new snow anywhere in this grid Jan 13-20 except for 0.6" 17th at MSP) Loc'n __ Snow __ % Contest Avg ___ Contest Minimum MQT ___ 72.6" ___ (36%) _________ 160.0 GRR ___ 45.6" ___ (58%) __________ 50.0 YXU ___ 39.6" * __ (49%) __________64.0 APN ____37.7" ___ (46%) __________59.1 GRB ____30.2" ___ (60%) __________35.5 LSE ____ 25.4" ___ (58%) __________31.4 MSP ____23.7" ___ (51%) __________36.4 DTW ___ 21.5" ___ (45%) __________35.0 MKE ____19.8" ___ (44%) __________33.4 YYZ ____19.7" ** __ (42%) ________ 26.0 ORD ___ 18.1" ___ (46%) __________28.0 CLE ____14.0" ___ (20%) __________46.0 MLI ____ 13.8" ___ (45%) _________ 22.8 FWA ___ 12.0" ___ (33%) __________26.9 CMH ____6.3" ___ (23%) __________ 15.6 IND ____ 6.1" ___ (22%) __________ 16.0 PIA _____5.9" ___ (23%) __________ 19.7 SDF ____ 2.4" ___ (17%) ____________6.0 STL ____ 1.2" ___ ( 7%) ____________ 8.0 PAH ____0.2" ___ ( 2%) ____________ 5.0 Tiebreaker 1, ORD (Dec) ___ 17.7" (+8.6 on contest avg, +1.4" on max from KokomoWx) (settled ) Tiebreaker 2, IND (Jan) _____ 1.2 (min 5.2, mean 10.0, max 23.6) ___________________________________________ * YXU not updated yet for Jan 20th, total 100.5 cm or 39.6". ** YYZ updated on Jan 20th. 0.0 cm, season total 49.9 cm or 19.7"
  10. Table of forecasts for January 2017 FORECASTER ____________ DCA _ NYC _ BOS ____ ORD _ ATL _ IAH _____ DEN _ PHX _ SEA Prestige Worldwide ______ +2.5 _ +2.1 _ +0.4 ___ --2.6 _ +3.4 _ --1.7 ____--2.1 _ --0.2 _ --2.4 Maxim _________________+2.5 _ +1.0 _ +0.5 ___ --1.0 _ +3.0 _ +2.0 ____--1.5 _ +1.0 _ --3.5 DonSutherland.1 ________ +2.3 _ +1.8 _ +1.4 ___ +1.0 _ +3.7 _ +4.0 ____--0.7 _ +0.5 _ --4.5 Stebo __________________+1.8 _ +1.5 _ +1.2 ___ --1.5 _ +2.2 _ +1.8 ____--2.2 _ --1.1 _ --2.9 BKViking _______________ +1.6 _ +1.5 _ +1.3 ___ --1.7 _ +2.0 _ +1.0 ____--2.4 _ --0.7 _ --3.1 RJay ___________________+1.5 _ +1.0 _ +1.0 ___ +0.5 _ +2.0 _ +1.5 ____--1.0 _ --1.5 _ --4.0 SD ____________________ +1.5 _ +1.0 _ +1.0 ____ 0.0 _ +1.0 _ +1.0 ____--0.5 _ +1.0 _ --0.5 so_whats_happening _____ +1.4 _ --0.5 _ --1.0 ___ --2.2 _ +1.7 _ +1.2 ____--1.9 _ +0.8 _ --2.3 blazess556 ___ (-1%) _____+1.4 _ +1.2 _ +1.0 ___ +0.1 _ +1.8 _ +2.1 ____--1.4 _ --1.1 _ --0.8 Consensus _______________+1.4 _ +1.0 _ +0.7 ___ --1.3 _ +1.8 _ +1.2 ____--1.5 _ --0.2 _ --2.8 dmillz25 ________________+1.3 _ +1.0 _ +1.0 ___ +1.0 _ +2.0 _ +1.5 ____--1.5 _ --1.7 _ --3.5 hudsonvalley21 _________ +1.1 _ +0.4 _ +1.3 ___ --0.5 _ +0.8 _ +1.3 ____--0.3 _ +0.6 _ --1.2 H2Otown_WX ___________ +1.1 _ +0.4 _ --0.2 ___ --1.8 _ +1.4 _ --0.6 ____--1.3 _ +1.5 _ --0.9 wxallannj ______________ +0.7 _ +0.9 _ +0.8 ___ --1.1 _ +1.8 _ +0.7 ____--2.6 _ --1.3 _ --4.1 Tom __________________ +0.4 _ --0.2 _ --0.6 ___ --3.1 _ +0.2 _ +0.5 ____--2.9 _ --0.9 _ --3.1 wxdude64 ______________ +0.3 _ --1.0 _ --0.1 ___ --0.4 _ +1.2 _ +1.2 ____--1.5 _ --0.3 _ --2.8 Damage in Tolland _______ +0.2 _ --0.5 _ --1.0 ___ --2.3 _ +0.5 _ +1.0 ____--2.5 _ --0.3 _ --2.2 Normal _________________ 0.0 __ 0.0 __ 0.0 _____ 0.0 __ 0.0 __ 0.0 ______ 0.0 __ 0.0 __ 0.0 Roger Smith ____________ --0.2 _ --0.7 _ --1.2 ___ --3.3 _ +0.2 _ +1.5 ____+0.5 _ +2.0 _ --3.5 RodneyS _______________ --1.2 _ --1.6 _ --1.2 ___ --0.6 __ 0.0 _ +0.8 ____ --2.0 _ --1.1 _ --1.9 __________________________________________________________________________________ Note: with the relaxed late penalties this month, we are currently at 9% and will be adding 1% every four hours from 18z today to 18z Tuesday. Any further entries will adjust the Consensus values which are currently mean of 9th and 10th ranked forecasts. ... Welcome to Worldwide Prestige.
  11. Summary of Contest results Congratulations to DonSutherland.1 for winning all three contests. His margin in the "all nine" was fairly comfortable, but he came from second to first in the western section and just managed to hold off some charging competition in the "original six" portion. Don also had high score in the central portion of that contest, and for NYC, DEN and SEA. He won the May contests in original six and all nine, November in all nine, and April in the western contest. Damage in Tolland had second place in the all nine scoring, was third in the original six and seventh in the west. He had high scores for DCA and ATL. He won in June for both all nine and western, and in July and November for the original six portion. Wxdude64 was third overall and second in the original six, by a margin that was about equal to small totals of time penalties there. He was eighth in the western contest. He had overall high scores for BOS and the eastern portion of the contest, and won January in all nine and the western contest. Mallow finished fourth overall and in the western contest, and sixth in the original six. He won September and November in the western contest. Maxim was fifth in the all nine and western contests, and was eighth in the original six. Maxim won three months in both all nine and original six contests, March, September and October, and was also top score in the west in September. RodneyS finished sixth overall, fourth in the original six and tied eleventh in the west. He had high score for IAH and for May in the western contest. Wxallannj was seventh overall, and finished third in the west (high score PHX) after leading most of the year. He was tenth in the original six where he had high score for April. He also won April in the all nine segment. Rjay was eighth in the all nine, with high score for August; sixth in the west with high score for October, and ninth in the original six with high score in August. BKViking was ninth overall, fifth in the original six and tenth in the west. He had high score for ORD, and won January and December in the original six, as well as December in the all nine. BKV had substantial time penalties in three months and his raw score was very close to the totals of DonSutherland and wxdude64. Those details can be seen for all forecasters back in the summary of annual scoring (immediately after December scoring). Midlo Snow Maker was tenth overall with high score in February, and surged to second place in the west including high score in March. He was 13th in the original six but had high score in February there too. Highlights for the rest of the crew ... BLAZESS556 was 11th (all nine), and 7th in the original six, tied 11th in the west. Then it was HUDSONVALLEY21 in 12th (all nine), 11th in the original six and ninth in the west, winning July there. ... DMILLZ25 had a steady climb to finish 13th overall, 12th in the original six, and 15th in the west but finished with a win for December there. ... ROGER SMITH 14th (16th and 13th, high score August in west). ... TOM was 15th overall, and won June in the original six ... SD was 16th overall, and won July in the west. ... STEBO finished 17th (14th in original six) and began to score well in the west after a rough start. ... OHweather would have been around tenth had he continued on after July, where he had high score in west and all nine. TENMAN JOHNSON played ten months and had high score for February in the west. I think this was the most competitive year so far with the top ten really mixing it up and making it tough for Don all the way to the end, but it was quite an achievement to win all segments despite all that. Hope you enjoyed it, now on to 2017 ...
  12. == << Updated Annual Scoring for western and all nine contests Jan to Dec 2016 >> == FORECASTER __________ DEN_PHX_SEA __ TOTALS _ best scores (mo) _ All Nine Totals __ best scores 01 DonSutherland.1 _______ 662 _ 630 _ 909 ____ 2201 _____ 0 0 2 _ Apr ___ 7138 (= 1) __ MAY, NOV 02 Midlo Snow Maker______ 630 _ 661 _ 858 ____ 2149 _____ 1 2 3 _ Mar ____6576 (=10) ___ FEB 03 wxallannj _____________ 618 _ 759 _ 765 ____ 2142 _____ 0 1 1 ________ 6712 (= 7) ____ APR 04 Mallow _______________ 648 _ 693 _ 793 ____ 2134 _____ 3 2 0_Sep,Nov _ 6835 (= 4) 05 Consensus ___________ 677 _ 638 _ 805 ____ 2120 _____ 0 0 1 _ Jul ____ 6973 (= 2) ___ JUL 05 Maxim _______________ 573 _ 656 _ 877 ____ 2106 _____ 0 1 2 _ Sep ___ 6789 (= 5) _ MAR,SEP,OCT 06 Rjay _________________627 _ 619 _ 798 ____ 2044 _____ 1 0 1 _ Oct ___ 6677 (= 8) ___ AUG 07 Damage in Tolland ______604 _ 572 _ 861 ____ 2037 _____ 1 0 1 _ Jun ___ 6926 (= 2) ___ JUN 08 wxdude64 ____________ 659 _ 609 _ 741 ____ 2009 _____ 0 1 2 _ Jan ___ 6918 (= 3) ___ JAN 09 hudsonvalley21 ________ 658 _ 558 _ 733 ____ 1949 _____ 0 1 0 _ Jul ___ 6514 (=12) 10 BKViking _____________ 625 _ 548 _ 745 ____ 1918 _____ 0 0 0 ________ 6670 (= 9) ___ DEC t 11 RodneyS ____________598 _ 593 _ 691 ____ 1882 _____ 2 0 0 _ May ___ 6750 (= 6) t 11 blazess556 __________ 596 _ 633 _ 653 ____ 1882 _____ 1 0 0 _________6569 (=11) 13 Roger Smith __________ 469 _ 638 _ 729 ____ 1836 _____ 1 2 0 _ Aug ___ 5954 (=14) 14 Tom _________________ 595 _ 575 _ 625 ____1795 _____ 0 0 1 ________ 5862 (=15) 15 dmillz25 ______________561 _ 518 _ 701 ____1780 _____ 1 0 0 _ Dec ___ 6230 (=13) 16 SD __________________ 531 _ 552 _ 622 ____1705 _____ 0 0 1 _ Jul ___ 5854 (=16) 17 Normal _______________566 _ 546 _ 532 ____ 1644 ____ 1 0 1 _ Aug ____ 5164 (=18) 17 Tenman Johnson@@____ 487 _ 582 _ 434 ____1503 _____ 2 1 1 _ Feb ___ 5077 (=18) 18 Stebo ________________ 485 _ 526 _ 412 ____ 1423 _____ 0 1 1 _______ 5751 (=17) 19 OHweather@@@@_____ 410 _ 464 _ 484 ____ 1358 _____ 1 0 1 _ Jul __ 4433 (=19) ___ JUL 20 ksammut@@@@@@___ 306 _ 322 _ 220 _____ 848 _____ 0 1 0 ________2971 (=20) ______________________________________________________________________ @ for missing months ... other partial scores can be found in earlier tables or in this month's scoring table. H2OTown_Wx played four months and had a total score of 623 western, 1819 all nine.
  13. ===--<<<< UPDATED ANNUAL SCORING JAN to DEC 2016 >>>>--=== Set to 100% to prevent line overflow. __FORECASTER ___ DCA_NYC_BOS __ east ___ ORD_ATL_IAH __ cent __ TOTAL __ Best scores 01 DonSutherland.1 __ 863 . 927 . 846 __ 2636 ___ 712 . 773 . 816 __2301 __ 4937 __ 010011 . 1. 1 ..MAY 02 wxdude64 _______ 863 . 920 . 909 __ 2692 ___ 678 . 759 . 780 __ 2217 __ 4909 __ 111111 .2. 0 03 Damage in Tolland _927 . 884 . 834 __ 2645 ___ 703 . 865 . 676 __ 2244 __ 4889__311130 .1.2 JUL, NOV 04 RodneyS ________ 817 . 912 . 898 __ 2627 ___ 628 . 727 . 886 __ 2241 __ 4868__ 221033. 2 . 1 05 Consensus_______ 831 . 950 . 868 __ 2649 ___ 699 . 753 . 752 __ 2204 __ 4853 __ 001000 . 0 . 0 05 BKViking ________ 746 . 906 . 853 __ 2505 ___ 763 . 770 . 714 __ 2247 __ 4752 __ 000210 . 0 .1 JAN.DEC 06 Mallow___________733 . 916 . 878 __ 2527 ___ 737 . 591 . 846 __ 2108 __ 4701 __ 120003. 0 . 0 . 07 blazess556 _______771 . 922 . 866 __ 2559 ___ 624 . 778 . 726 __ 2128 __ 4687 __ 001011 . 0 . 0 08 Maxim __________ 785 . 812 . 888 __ 2485 ___ 661 . 773 . 764 __ 2198 __ 4683 __ 202221 . 1 . 3 _________________________________________________________________________________________ MAR,SEP,OCT 09 Rjay ____________872 . 833 . 747 __ 2452 ___ 740 . 806 . 635 __ 2181 __ 4633 __ 321211 . 1 . 1 ..AUG 10 wxallannj ________ 784 . 877 . 849 __ 2510 ___ 622 . 669 . 769 __ 2060 __ 4570 __010100 . 0 . 1 ..APR 11 hudsonvalley21 ___ 737 . 888 . 876 __ 2501 ___ 739 . 679 . 646 __ 2064 __ 4565 __ 012100 . 0 . 0 12 dmillz25 _________ 790 . 854 . 800 __ 2444 ___ 657 . 711 . 638 __ 2006 __ 4450 __ 021201 . 3 . 0 13 MidloSnowMaker __786 . 826 . 768 __ 2380 ___ 695 . 702 . 650 __ 2047 __ 4427 __ 011020 . 1 . 0 ..FEB 14 Stebo___________ 740 . 813 . 786 __ 2339 ___ 595 . 742 . 652 __ 1989 __ 4328 __ 001001 . 1 . 1 15 SD _____________695 . 838 . 782 __ 2315 ___ 566 . 596 . 672 __ 1834 __ 4149 __ 00110. 0 . 0 16 Roger Smith _____ 753 . 732 . 690 __ 2175 ___ 664 . 589 . 690 __ 1943 __ 4118 __ 400201 . 0 . 0 17 Tom____________ 673 . 762 . 744 __ 2179 ___ 619 . 587 . 682 __ 1888 __ 4067 __ 000000 . 0 . 1 .. JUN 18 Tenman Johnson@ 591 . 628 . 644 __ 1863 ___ 562 . 571 . 578 __ 1711 __ 3574 __ 210100 . 1 . 0 19 Normal__________ 572 . 688 . 680 __ 1940 ___ 500 . 420 . 660 __ 1580 __ 3520 __ 000001 . 1 . 0 19 OHweather #_____ 487 . 607 . 559 __ 1653 ___ 397 . 541 . 484 __ 1422 __ 3075 __ 000010. 0 . 0 20 ksammut & ______ 413 . 397 . 360 __ 1170 ___ 269 . 338 . 346 ___ 953 __ 2123 __ 111001 . 1 . 0 ______________________________________________ @ missed two months (Nov, Dec) # missed four months (Sept,Oct,Nov,Dec) & missed six months (July to Dec) Other best scores from December include NYC, BOS and east for so_whats_happening and ATL for H2OTown_Wx, ... other partial scores can be found in earlier tables including two entrants this month, H20Town_Wx played Jan to Mar, annual totals are 586 east, 610 central, 1196 total.
  14. There is a dormant volcanic cone (Aurora Crater) shown at the general location of many of these quakes. Link: http://data.nbmg.unr.edu/Public/Geothermal/SiteDescriptions/AuroraCrater.pdf
  15. 1282 tornados First high risk April 7th in MO/IL/KY/IN