An Introduction to Cloud Charts
|
|
|
- Pierce Harrell
- 5 years ago
- Views:
Transcription
1 An Introduction to Cloud Charts Ihi Ichimoku Kinko Kik Hyo
2 G B P = D 3, L a s t Q u o te [C a n d le ] D a ily 2 8 F e b J u l0 7 G B P = D 3, L a s t Q u o t e, C a n d le 1 8 J u l P r M a r M a r 1 9 M a r 2 6 M a r 0 2 A p r 0 9 A p r 1 6 A p r 2 3 A p r 3 0 A p r 0 7 M a y 1 4 M a y 2 1 M a y 2 8 M a y 0 4 J u n 1 1 J u n 1 8 J u n 2 5 J u n 0 2 J u l 0 9 J u l 1 6 J u l 2 3 J u l G B P = D 3, L a s t Q u o t e, C a n d le 1 8 J u l G B P = D 3, C lo s e ( L a s t Q u o t e ), M A J u l G B P =, C lo s e ( B id ), M A J u l G B P = D 3, L a s t Q u o t e [ C a n d l e ] [ M A 4 0 ] G B P =, C l o s e ( B i d ) [ M A 1 0 ] D a i l y 2 8 F e b J u l0 7 P r M a r M a r 1 9 M a r 2 6 M a r 0 2 A p r 0 9 A p r 1 6 A p r 2 3 A p r 3 0 A p r 0 7 M a y 1 4 M a y 2 1 M a y 2 8 M a y 0 4 J u n 1 1 J u n 1 8 J u n 2 5 J u n 0 2 J u l 0 9 J u l 1 6 J u l 2 3 J u l
3 GBP=D3, Last Quote, Candle 18Jul GBP=D3, Last Quote, Tenkan Sen 9 18Jul GBP=D3, Last Quote, Kijun Sen 26 18Jul GBP=D3, Last Quote, Senkou Span(a) 52 22Aug GBP=D3, Last Quote, Senkou Span(b) 52 22Aug GBP=D3, Last Quote, Chikou Span 1 18Jul The Cloud GBP=D3, Last Quote [Candle], Last Quote [Ichimoku 9, 26, 52, 1] Daily 04Apr07-27Aug07 Pr Apr07 16Apr 23Apr 30Apr 07M ay 14M ay 21M ay 28M ay 04Jun 11Jun 18Jun 25Jun 02Jul 09Jul 16Jul 23Jul 30Jul 06Aug 13Aug 20Aug 27Aug
4 GBP=D3, Last Quote, Candle 18Jul GBP=D3, Last Quote, Tenkan Sen 9 18Jul GBP=D3, Last Quote, Kijun Sen 26 18Jul GBP=D3, Last Quote, Senkou Span(a) 52 22Aug GBP=D3, Last Quote, Senkou Span(b) 52 22Aug GBP=D3, Last Quote, Chikou Span 26 13Jun Chikou Span GBP=D3, Last Quote [Candle], Last Quote [Ichimoku 9, 26, 52, 26] Daily 04Apr07-25Aug07 Pr Apr07 16Apr 23Apr 30Apr 07M ay 14M ay 21M ay 28M ay 04Jun 11Jun 18Jun 25Jun 02Jul 09Jul 16Jul 23Jul 30Jul 06Aug 13Aug 20Aug
5 G B P = D 3, L a s t Q u o t e, C a n d le 2 2 J u l G B P = D 3, L a s t Q u o t e, T e n k a n S e n J u l G B P = D 3, L a s t Q u o t e, K iju n S e n J u l G B P = D 3, L a s t Q u o t e, S e n k o u S p a n ( a ) J a n G B P = D 3, L a s t Q u o t e, S e n k o u S p a n ( b ) J a n G B P = D 3, L a s t Q u o t e, C h ik o u S p a n J a n G B P = D 3, L a s t Q u o t e [ C a n d l e ], L a s t Q u o t e [ I c h i m o k u 9, 2 6, 5 2, 2 6 ] W e e k l y 1 4 F e b F e b 0 8 P r M a r 0 6 A p r M a y J u n J u l A u g S e p O c t N o v D e c J a n 0 7 F e b M a r A p r M a y J u n J u l A u g S e p O c t N o v D e c J a n 0 8 F e b G B P = D 3, L a s t Q u o t e, C a n d le 1 8 J u l 1 5 : 0 0 : G B P = D 3, L a s t Q u o t e, T e n k a n S e n J u l 1 5 : 0 0 : G B P = D 3, L a s t Q u o t e, K iju n S e n J u l 1 5 : 0 0 : G B P = D 3, L a s t Q u o t e, S e n k o u S p a n ( a ) J u l 1 6 : 0 0 : G B P = D 3, L a s t Q u o t e, S e n k o u S p a n ( b ) J u l 1 6 : 0 0 : G B P = D 3, L a s t Q u o t e, C h ik o u S p a n J u l 1 4 : 0 0 : G B P = D 3, L a s t Q u o t e [ C a n d l e ], L a s t Q u o t e [ I c h i m o k u 9, 2 6, 5 2, 2 6 ] H o u r l y 1 2 J u l J u l0 7 P r : J u l 0 8 : : : : : : : : : : : : : :0 0
6 The Three Principles The Wave Principle The Price Target The Timespan Principle R
7 The I Wave The V Wave The N Wave
8 The Y +P Waves
9 The 4 Wave
10 Combinations
11 Combinations
12 Combinations
13 Measured Target V
14 Measured Target N
15 Measured Target E
16 Measured Target NT
17 The Timespan Principle The Numbers 9 days: the Basic Unit 17 days: two Basic Units 26 days: three Basic Units or One Term Unit
18 Compound Numbers 33 days = (26+9-1) 42 days = ( ) 65 days = ( ) Super Big Unit 76 days = ( ) one Cycle 129 days = ( ) 172 days = ( ) 257 days = ( )
19 Counting Candles
20 Counting Candles
21 Time Measures
22 Time Measures
23 Dow Jones Industrial Average.DJI, Last Trade [Candle], Last Trade [Ichimoku 9, 26, 52, 26] Daily 27Aug08-30Mar0909.DJI, Last Trade, Candle 20Feb DJI, Last Trade, Tenkan Sen 9 20Feb DJI, Last Trade, Kijun Sen 26 20Feb DJI, Last Trade, Senkou Span(a) 52 27Mar DJI, Last Trade, Senkou Span(b) 52 27Mar DJI, Last Trade, Chikou Span 26 16Jan Pr USD Sep08 16Sep 30Sep 14Oct 28Oct 11Nov 25Nov 09Dec 23Dec 06Jan 20Jan 03Feb 17Feb 03Mar 17Mar 7200
24 DAX Index /.GDAXI, Last Trade [Candle], Last Trade [Ichimoku 9, 26, 52, 26] Weekly 29Apr07-30Aug0909 Pr EUR /.GDAXI, Last Trade, Candle 01Mar /.GDAXI, Last Trade, Tenkan Sen 9 01Mar /.GDAXI, Last Trade, Kijun Se n 26 01Mar /.GDAXI, Last Trade, Senkou Span(a) 52 23Aug /.GDAXI, Last Trade, Senkou Span(b) 52 23Aug /.GDAXI, Last Trade, Chik ou Span 26 07Sep M ay07 Jul Aug Sep Oct Nov De c Jan08 Fe b Mar Apr May Jun Jul Aug Sep Oct Nov De c Jan09 Fe b Mar Apr May Jun Jul Aug
25 Chart Examples Ihi Ichimoku Kinko Kik Hyo
26 .GSPC, Last Trade, Candle 31Mar S&P 500.GSPC, Last Trade [Candle] Quarterly 08Sep82-20Aug09 Pr USD
27 S&P 500.GSPC, Last Trade [Candle].INX [MA 10].GSPC, Last Trade [Ichimoku 9, 26, 52, 26] Weekly 09Mar07-09Sep09 Pr USD GSPC, Last Trade, Candle 08Mar GSPC, Last Trade, Tenkan Sen 9 08Mar GSPC, Last Trade, Kijun Sen 26 08Mar GSPC, Last Trade, Senkou Span(a) 52 30Aug GSPC, Last Trade, Senkou Span(b) 52 30Aug GSPC, Last Trade, Chikou Span 26 14Sep May07 Jul Sep Nov Jan08 Mar May Jul Sep Nov Jan09 Mar May Jul Sep
28 /.GDAXI, Last Trade, Candle 31M ar DAX /.GDAXI, Last T rade [Candle] Quarterly 15Dec87-18Oct09 Pr EUR Log
29 DAX /.GDAXI, Last Trade [Candle], Last Trade [Ichimoku 9, 26, 52, 26] Weekly 03M ay07-07sep09 Pr EUR /.GDAXI, Las t Trade, Candle 08M ar /.GDAXI, Last Trade, Tenkan Sen 9 08M ar /.GDAXI, Las t Trade, Kijun Se n 26 08M ar /.GDAXI, Las t Trade, Se nk ou Span(a) 52 30Aug /.GDAXI, Las t Trade, Se nk ou Span(b) 52 30Aug /.GDAXI, Las t Trade, Chik ou Span 26 14Sep Jun07 Jul Aug Sep Oct Nov De c Jan08 Fe b Mar Apr May Jun Jul Aug Sep Oct Nov De c Jan09 Fe b Mar Apr May Jun Jul Aug Sep
30 .FTAS, Last Trade, Candle 31Mar FT All-Share.FTAS, Last Trade [Candle] Quarterly 27Sep79-03Feb10 Pr GBp 0.32M 0.3M 0.28M 0.26M 0.24M 0.22M M 0.18M M 0.14M M 0.1M
31 EUR/USD EUR=EBS, Last Quote [Candle] EUR=, Bid [Ichimoku 9, 26, 52, 26] Weekly 01Aug07-12Sep09 EUR=EBS, Last Quote, Candle 08Mar EUR=, Bid, Tenkan Sen 9 08Mar EUR=, Bid, Kijun Sen 26 08Mar EUR=, Bid, Senkou Span(a) 52 30Aug EUR=, Bid, Senkou Span(b) 52 30Aug EUR=, Bid, Chikou Span 26 14Sep Pr Aug07 Sep Oct Nov De c Jan08 Fe b Mar Apr May Jun Jul Aug Sep Oct Nov De c Jan09 Fe b Mar Apr May Jun Jul Aug Sep
32 JPY JPY=EBS, Last Quote [Candle], Bid [Ichimoku 9, 26, 52, 26] Weekly 26Apr07-06Sep09 JPY =EBS, Last Quote, Candle Pr 08Mar JPY=EBS, Bid, Tenkan Sen Mar JPY=EBS, Bid, Kijun Sen 26 08Mar JPY=EBS, Bid, Senkou Span(a) 52 30Aug JPY=EBS, Bid, Senkou Span(b) 52 30Aug JPY=EBS, Bid, Chikou Span 26 14Sep May07 Jun Jul Aug Sep Oct Nov De c Jan08 Fe b Mar Apr May Jun Jul Aug Sep Oct Nov De c Jan09 Fe b Mar Apr May Jun Jul Aug Sep 90 88
33 GBP/JPY G BPJPY=R, Bid [Candle], Bid [Ichimoku 9, 26, 52, 26] Daily 10Oct08-10Apr09 GBPJPY=R, Bid, Candle 05Mar GBPJPY=R, Bid, Tenkan Sen 9 05Mar GBPJPY=R, Bid, Kijun Sen 26 05Mar GBPJPY=R, Bid, Senkou Span(a) 52 09Apr GBPJPY=R, Bid, Senkou Span(b) 52 09Apr GBPJPY=R, Bid, Chikou Span 26 29Jan Pr Oct08 05Nov 19Nov 03Dec 17Dec 31Dec 14Jan 28Jan 11Feb 25Feb 11M ar 25M ar 08Apr 120
34 AUD AUD=D3, Last Quote [Candle], Last Quote [Ichimoku 9, 26, 52, 26] Daily 16Sep08-24Feb09 AUD=D3, Last Quote, Candle 19Jan AUD=D3, Last Quote, Tenkan Sen 9 19Jan AUD=D3, Last Quote, Kijun Sen 26 19Jan AUD=D3, Last Quote, Senkou Span(a) 52 23Feb AUD=D3, Last Quote, Senkou Span(b) 52 23Feb AUD=D3, Last Quote, Chikou Span 26 15Dec Pr Sep08 06Oct 20Oct 03Nov 17Nov 01Dec 15Dec 29Dec 12Jan 26Jan 09Feb 23Feb
35 EURHUF=R, Bid, Candle 05M ar EURHUF=R, Bid, Te nk an Se n 9 05M ar EURHUF=R, Bid, Kijun Se n 26 05M ar EURHUF=R, Bid, Se nk ou Span(a) 52 09Apr EURHUF=R, Bid, Se nk ou Span(b) 52 09Apr EURHUF=R, Bid, Chik ou Span 26 29Jan EUR/HUF EURHUF=R, Bid [Candle], Bid [Ichimoku 9, 26, 52, 26] Daily 17Sep08-10Apr09 Pr Sep08 02Oct 16Oct 30Oct 13Nov 27Nov 11Dec 25Dec 08Jan 22Jan 05Feb 19Feb 05M ar 19M ar 02Apr
36 EUR/SEK EURSEK=D3, Last Quote [Candle], Last Quote [Ichimoku 9, 26, 52, 26] Daily 01Oct08-10Apr09 Pr EURSEK=D3, Last Quote, Candle 05Mar EURSEK=D3, Last Quote, Tenkan Sen 9 05Mar EURSEK=D3, Last Quote, Kijun Sen 26 05Mar EURSEK=D3, Last Quote, Senkou Span(a) 52 09Apr EURSEK=D3, Last Quote, Senkou Span(b) 52 09Apr EURSEK=D3, Last Quote, Chikou Span 26 29Jan Oct08 27Oct 10Nov 24Nov 08Dec 22Dec 05Jan 19Jan 02Feb 16Feb 02M ar 16M ar 30M ar
37 RUB=, Bid, Candle 05Mar RUB=, Bid, Tenkan Sen 9 05Mar RUB=, Bid, Kijun Sen 26 05Mar RUB=, Bid, Senkou Span(a) 52 09Apr RUB=, Bid, Senkou Span(b) 52 09Apr RUB=, Bid, Chikou Span 26 29Jan RUB RUB=, Bid [Candle], Bid [Ichimoku 9, 26, 52, 26] Daily 16Oct08-10Apr09 Pr / USD Oct08 05Nov 19Nov 03Dec 17Dec 31Dec 14Jan 28Jan 11Feb 25Feb 11M ar 25M ar 08Apr 26
38 SAR=, Bid, Candle 31Mar SAR SAR=, Bid [Candle] Monthly 19Jan01-01Jul09 Pr Jul01 Jan02 Jul Jan03 Jul Jan04 Jul Jan05 Jul Jan06 Jul Jan07 Jul Jan08 Jul Jan09 Jul 3.68
39 USD3M D=, Clos e (As k ), US3M T=RR Spr 05M ar US TED Spread USD3MD=, Close(Ask) [US3MT=RR Spr] Daily 26Apr06-19Aug08 Spr May06 Jun Jul Aug Sep Oct Nov De c Jan07 Fe b Mar Apr May Jun Jul Aug Sep Oct Nov De c Jan08 Fe b Mar Apr May Jun Jul Aug
40 EDc6(H), Last Trade, O/H/L/C Bar 08Mar FEIc6, Last Trade, O/H/L/C Bar 08Mar Eurodollar/Euribor futures EDc6(H), Last T rade [O/H/L/C Bar] FEIc6 Weekly 25Mar06-28Mar09 Pr M ay06 Jul Sep Nov Jan07 Mar May Jul Sep Nov Jan08 Mar May Jul Sep Nov Jan09 Mar 94.2
41 Yield US/German 2-year Treasury yields US2YT=RR, Yield_1 [Candle] DE2YT=RR Weekly 30Dec06-03Apr09 Yield US2YT=RR, Yield_1, Candle 08Mar DE2YT=RR, Yield_1, Candle 08Mar De c06 Jan07 Fe b Mar Apr May Jun Jul Aug Sep Oct Nov De c Jan08 Fe b Mar Apr May Jun Jul Aug Sep Oct Nov De c Jan09 Fe b Mar Apr
42 10-year Bund yield DE10YT=RR, Yield_1 [Candle], Yield_1 [Ichim oku 9, 26, 52, 26] W eekly 27Dec06-07Sep09 Yield DE10YT=RR, Yield_1, Candle 08Mar DE10YT=RR, Yield_1, Tenkan Sen 9 08Mar DE10YT=RR, Yield_1, Kijun Sen 26 08Mar DE10YT=RR, Yield_1, Senkou Span(a) 52 30Aug DE10YT=RR, Yield_1, Senkou Span(b) 52 30Aug DE10YT=RR, Yield_1, Chikou Span 26 14Sep Jan07 Mar May Jul Sep Nov Jan08 Mar May Jul Sep Nov Jan09 Mar May Jul Sep
43 GBIL2H16=, Close(Yield_1), Line 05Mar GB 2016 Index Linked GBIL2H16=, Close(Yield_1) [Line] Daily 10Dec97-24Apr09 Yie ld Jan98 Jul Jan99 Jul Jan00 Jul Jan01 Jul Jan02 Jul Jan03 Jul Jan04 Jul Jan05 Jul Jan06 Jul Jan07 Jul Jan08 Jul Jan09
44 US10YT=RR, Close(Yield_1), US2YT=RR Spr 05Mar US Treasury 10-2 year yields US10YT=RR, Close(Yield_1) [US2YT=RR Spr] Daily 15Dec99-11May09 Spr USD Jan00 Jul Jan01 Jul Jan02 Jul Jan03 Jul Jan04 Jul Jan05 Jul Jan06 Jul Jan07 Jul Jan08 Jul Jan09
45 /JAU c1, Las t Trade, C andle 31Mar Gold /JAUc1, Last Trade [Candle] Monthly 23Jun99-31May09 Pr JPY Grm Jul99 Jan00 Jul Jan01 Jul Jan02 Jul Jan03 Jul Jan04 Jul Jan05 Jul Jan06 Jul Jan07 Jul Jan08 Jul Jan09
46 Spot Gold XAU=, Bid [Candle], Bid [Ichimoku 9, 26, 52, 26] W eekly 30Dec06-04Sep09 Pr 1020 XAU =, Bid, C andle 08Mar XAU=, Bid, Tenkan Sen 9 08Mar XAU =, Bid, Kijun Sen 26 08Mar XAU=, Bid, Senkou Span(a) 52 30Aug XAU=, Bid, Senkou Span(b) 52 30Aug XAU=, Bid, Chikou Span 26 14Sep Jan07 Mar May Jul Sep Nov Jan08 Mar May Jul Sep Nov Jan09 Mar May Jul Sep
47 Gold/Silver ratio XAG/XAU [Line] Daily 11Jul92-01May09 XAG/XAU, Line 05Mar Pr USD Ozs Min = on 05/02/1998 Mean = /02/1992 M ax= on 07/10/1992 SD =11 05/03/
48 LME 3-month Copper /MCU3, Last Trade [Candle], Last Trade [Ichimoku 9, 26, 52, 26] Daily 07Oct08-10Apr09 /MCU3, Last Trade, Candle 05Mar /MCU3, Last Trade, Tenkan Sen 9 05Mar /MCU3, Last Trade, Kijun Sen 26 05Mar /MCU3, Last Trade, Senkou Span(a) 52 09Apr /MCU3, Last Trade, Senkou Span(b) 52 09Apr /MCU3, Last Trade, Chikou Span 26 29Jan Pr USD T Oct08 22Oct 05Nov 19Nov 03Dec 17Dec 31Dec 14Jan 28Jan 11Feb 25Feb 11M ar 25M ar 08Apr
49 LHc1, Last Trade, Candle 31Mar CME Lean Hog futures LHc1, Last Trade [Candle] Monthly 25May96-05Aug09 Pr M in = on 30/11/1998 M ean = /09/1992 M ax= on 30/06/1997 SD =12 31/03/ Jul96 Jan97 Jul Jan98 Jul Jan99 Jul Jan00 Jul Jan01 Jul Jan02 Jul Jan03 Jul Jan04 Jul Jan05 Jul Jan06 Jul Jan07 Jul Jan08 Jul Jan09 Jul
50 Nymex Crude Oil /CLJ9, Last Trade [Candle], Last Trade [Ichimoku 9, 26, 52, 26] Daily 02Oct08-13Apr09 /CLJ9, Last Trade, Candle 06Mar /CLJ9, Last Trade, Tenkan Sen 9 06Mar /CLJ9, Last Trade, Kijun Sen 26 06Mar /CLJ9, Last Trade, Senkou Span(a) 52 10Apr /CLJ9, Last Trade, Senkou Span(b) 52 10Apr /CLJ9, Last Trade, Chikou Span 26 30Jan Pr Oct08 27Oct 10Nov 24Nov 08Dec 22Dec 05Jan 19Jan 02Feb 16Feb 02M ar 16M ar 30M ar 13Apr
51 GOLD/OIL, Line 06Mar Barrels Oil/Ounce Gold GOLD/OIL [Line] Daily 07Apr08-13Mar09 Pr M ay08 Jun Jul Aug Sep Oct Nov De c Jan09 Fe b Mar
GAMINGRE 8/1/ of 7
FYE 09/30/92 JULY 92 0.00 254,550.00 0.00 0 0 0 0 0 0 0 0 0 254,550.00 0.00 0.00 0.00 0.00 254,550.00 AUG 10,616,710.31 5,299.95 845,656.83 84,565.68 61,084.86 23,480.82 339,734.73 135,893.89 67,946.95
Ichimoku means: one glance, Kinko means: equilibrium (or balance), and Hyo means: chart. The term Ichimoku Kinko Hyo could be translated as: 'One
Meaning: Ichimoku means: one glance, Kinko means: equilibrium (or balance), and Hyo means: chart. The term Ichimoku Kinko Hyo could be translated as: 'One glance equilibrium chart, or 'Chart balance at
Annual Average NYMEX Strip Comparison 7/03/2017
Annual Average NYMEX Strip Comparison 7/03/2017 To Year to Year Oil Price Deck ($/bbl) change Year change 7/3/2017 6/1/2017 5/1/2017 4/3/2017 3/1/2017 2/1/2017-2.7% 2017 Average -10.4% 47.52 48.84 49.58
Noble Energy agrees to develop Alen field s natural gas offshore Equatorial Guinea A U.S. Shale Gas Cargo Is Heading to Israel for the First Time
May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18 Apr-18 May-18 8: 8:45 9:3 1:15 11: 11:45 12:3 13:15 14: Prior Day s NYMEX Jun-18 Contract (CT) 2.84 2.82 2.8 2.78 2.76 2.74
SYSTEM BRIEF DAILY SUMMARY
SYSTEM BRIEF DAILY SUMMARY * ANNUAL MaxTemp NEL (MWH) Hr Ending Hr Ending LOAD (PEAK HOURS 7:00 AM TO 10:00 PM MON-SAT) ENERGY (MWH) INCREMENTAL COST DAY DATE Civic TOTAL MAXIMUM @Max MINIMUM @Min FACTOR
REPORT ON LABOUR FORECASTING FOR CONSTRUCTION
REPORT ON LABOUR FORECASTING FOR CONSTRUCTION For: Project: XYZ Local Authority New Sample Project Contact us: Construction Skills & Whole Life Consultants Limited Dundee University Incubator James Lindsay
Time Series Analysis
Time Series Analysis A time series is a sequence of observations made: 1) over a continuous time interval, 2) of successive measurements across that interval, 3) using equal spacing between consecutive
Monthly Trading Report Trading Date: Dec Monthly Trading Report December 2017
Trading Date: Dec 7 Monthly Trading Report December 7 Trading Date: Dec 7 Figure : December 7 (% change over previous month) % Major Market Indicators 5 4 Figure : Summary of Trading Data USEP () Daily
Average 175, , , , , , ,046 YTD Total 1,098,649 1,509,593 1,868,795 1,418, ,169 1,977,225 2,065,321
AGRICULTURE 01-Agriculture JUL 2,944-4,465 1,783-146 102 AUG 2,753 6,497 5,321 1,233 1,678 744 1,469 SEP - 4,274 4,183 1,596 - - 238 OCT 2,694 - - 1,032 340-276 NOV 1,979-5,822 637 3,221 1,923 1,532 DEC
Average 175, , , , , , ,940 YTD Total 944,460 1,284,944 1,635,177 1,183, ,954 1,744,134 1,565,640
AGRICULTURE 01-Agriculture JUL 2,944-4,465 1,783-146 102 AUG 2,753 6,497 5,321 1,233 1,678 744 1,469 SEP - 4,274 4,183 1,596 - - 238 OCT 2,694 - - 1,032 340-276 NOV 1,979-5,822 637 3,221 1,923 1,532 DEC
SYSTEM BRIEF DAILY SUMMARY
SYSTEM BRIEF DAILY SUMMARY * ANNUAL MaxTemp NEL (MWH) Hr Ending Hr Ending LOAD (PEAK HOURS 7:00 AM TO 10:00 PM MON-SAT) ENERGY (MWH) INCREMENTAL COST DAY DATE Civic TOTAL MAXIMUM @Max MINIMUM @Min FACTOR
The Energy Markets. Use and interpretation of medium to extended range products. ECMWF, Reading, 14 th of November 2005
The Energy Markets Use and interpretation of medium to extended range products ECMWF, Reading, 14 th of November 2005 drs. Stefan Meulemans, MSc Sempra Energy Europe Ltd. London smeulemans@sempracommodities.com
Monthly Trading Report July 2018
Monthly Trading Report July 218 Figure 1: July 218 (% change over previous month) % Major Market Indicators 2 2 4 USEP Forecasted Demand CCGT/Cogen/Trigen Supply ST Supply Figure 2: Summary of Trading
Mr. XYZ. Stock Market Trading and Investment Astrology Report. Report Duration: 12 months. Type: Both Stocks and Option. Date: Apr 12, 2011
Mr. XYZ Stock Market Trading and Investment Astrology Report Report Duration: 12 months Type: Both Stocks and Option Date: Apr 12, 2011 KT Astrologer Website: http://www.softwareandfinance.com/magazine/astrology/kt_astrologer.php
Long-term Water Quality Monitoring in Estero Bay
Long-term Water Quality Monitoring in Estero Bay Keith Kibbey Laboratory Director Lee County Environmental Laboratory Division of Natural Resource Management Estero Bay Monitoring Programs Three significant
In Centre, Online Classroom Live and Online Classroom Programme Prices
In Centre, and Online Classroom Programme Prices In Centre Online Classroom Foundation Certificate Bookkeeping Transactions 430 325 300 Bookkeeping Controls 320 245 225 Elements of Costing 320 245 225
2016 Year-End Benchmark Oil and Gas Prices (Average of Previous 12 months First-Day-of-the Month [FDOM] Prices)
![2016 Year-End Benchmark Oil and Gas Prices (Average of Previous 12 months First-Day-of-the Month [FDOM] Prices)](/thumbs/85/92418365.jpg "2016 Year-End Benchmark Oil and Gas Prices (Average of Previous 12 months First-Day-of-the Month [FDOM] Prices)")
Oil and Gas Benchmark Prices to Estimate Year-End Petroleum Reserves and Values Using U.S. Securities and Exchange Commission Guidelines from the Modernization of Oil and Gas Reporting Effective January
Weekly Crude Oil Elliott Wave Analyzer
Sep 12, 2012 Weekly Crude Oil Elliott Wave Analyzer 1 3 NYMEX Crude Oil Futures TransGraph Consulting Private Limited, # 6-3-655 / 2 / 1, III Floor, A.P. Civil Supplies Bhavan Lane, Somajiguda, Hyderabad
ENGINE SERIAL NUMBERS
ENGINE SERIAL NUMBERS The engine number was also the serial number of the car. Engines were numbered when they were completed, and for the most part went into a chassis within a day or so. However, some
Forecasting using R. Rob J Hyndman. 1.3 Seasonality and trends. Forecasting using R 1
Forecasting using R Rob J Hyndman 1.3 Seasonality and trends Forecasting using R 1 Outline 1 Time series components 2 STL decomposition 3 Forecasting and decomposition 4 Lab session 5 Forecasting using
Computing & Telecommunications Services Monthly Report January CaTS Help Desk. Wright State University (937)
January 215 Monthly Report Computing & Telecommunications Services Monthly Report January 215 CaTS Help Desk (937) 775-4827 1-888-775-4827 25 Library Annex helpdesk@wright.edu www.wright.edu/cats/ Last
Outline. The Path of the Sun. Emissivity and Absorptivity. Average Radiation Properties II. Average Radiation Properties
The Path of the Sun Larry Caretto Mechanical Engineering 83 Alternative Energy Engineering II March, 2 Outline Review radiation properties for solar collectors Orientation of earth and sun Earth-based
Computing & Telecommunications Services
Computing & Telecommunications Services Monthly Report September 214 CaTS Help Desk (937) 775-4827 1-888-775-4827 25 Library Annex helpdesk@wright.edu www.wright.edu/cats/ Table of Contents HEAT Ticket
W E E K L Y P U B L I C AT I O N. Commodities Weekly
W E E K L Y P U B L I C AT I O N Commodities Weekly For further information or questions, please email: mike.m@xatsuk.com Website https:/// DISCLAIMER: By using this report, you accept this disclaimer
Forecasting the Canadian Dollar Exchange Rate Wissam Saleh & Pablo Navarro
Forecasting the Canadian Dollar Exchange Rate Wissam Saleh & Pablo Navarro Research Question: What variables effect the Canadian/US exchange rate? Do energy prices have an effect on the Canadian/US exchange
Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center
Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data
DAILY QUESTIONS 28 TH JUNE 18 REASONING - CALENDAR
DAILY QUESTIONS 28 TH JUNE 18 REASONING - CALENDAR LEAP AND NON-LEAP YEAR *A non-leap year has 365 days whereas a leap year has 366 days. (as February has 29 days). *Every year which is divisible by 4
Climatography of the United States No
Climate Division: AK 5 NWS Call Sign: ANC Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 90 Number of s (3) Jan 22.2 9.3 15.8
Jackson County 2013 Weather Data
Jackson County 2013 Weather Data 61 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data
Jayalath Ekanayake Jonas Tappolet Harald Gall Abraham Bernstein. Time variance and defect prediction in software projects: additional figures
Jayalath Ekanayake Jonas Tappolet Harald Gall Abraham Bernstein TECHNICAL REPORT No. IFI-2.4 Time variance and defect prediction in software projects: additional figures 2 University of Zurich Department
DEPARTMENT OF THE ARMY MILITARY SURFACE DEPLOYMENT AND DISTRIBUTION COMMAND (SDDC) 1 SOLDIER WAY SCOTT AFB, IL 62225
DEPARTMENT OF THE ARMY MILITARY SURFACE DEPLOYMENT AND DISTRIBUTION COMMAND (SDDC) 1 SOLDIER WAY SCOTT AFB, IL 62225 SDDC Operations Special Requirements Branch 1 Soldier Way Scott AFB, IL 62225 April
WindPRO version Dec 2005 Printed/Page 11/04/2008 1:54 PM / 1. Meteo data report, height: 66.0 Feet
KBIC\indData\KBIC.csv KBIC\indData\KBIC.csv KBIC\indData\KBIC.csv KBIC\indData\KBIC.csv KBIC\indData\KBIC.csv indpro version... Dec // : PM / Cole Blvd. (M) U-GOLD, CO + -- // : PM/ Meteo data report,
FEB DASHBOARD FEB JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Positive Response Compliance 215 Compliant 215 Non-Compliant 216 Compliant 216 Non-Compliant 1% 87% 96% 86% 96% 88% 89% 89% 88% 86% 92% 93% 94% 96% 94% 8% 6% 4% 2% 13% 4% 14% 4% 12% 11% 11% 12% JAN MAR
Record date Payment date PID element Non-PID element. 08 Sep Oct p p. 01 Dec Jan p 9.85p
2017/18 Record date Payment date PID element Non-PID element 08 Sep 17 06 Oct 17 9.85p - 9.85p 01 Dec 17 05 Jan 18-9.85p 9.85p 09 Mar 18 06 Apr 18 9.85p - 9.85p Final 22 Jun 18 27 Jul 18 14.65p - 14.65p
Climatography of the United States No
No. 2 1971-2 Asheville, North Carolina 2881 COOP ID: 46646 Climate Division: CA 4 NWS Call Sign: 8W Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp
Climatography of the United States No
No. 2 1971-2 Asheville, North Carolina 2881 COOP ID: 4792 Climate Division: CA 6 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65
TIGER: Tracking Indexes for the Global Economic Recovery By Eswar Prasad, Karim Foda, and Ethan Wu
TIGER: Tracking Indexes for the Global Economic Recovery By Eswar Prasad, Karim Foda, and Ethan Wu Technical Appendix Methodology In our analysis, we employ a statistical procedure called Principal Component
Technical note on seasonal adjustment for M0
Technical note on seasonal adjustment for M0 July 1, 2013 Contents 1 M0 2 2 Steps in the seasonal adjustment procedure 3 2.1 Pre-adjustment analysis............................... 3 2.2 Seasonal adjustment.................................
Geometry Voic Mr. R. and Mr. K
2.1 Using Inductive Reasoning to Make Conjectures Learning Goal: Use inductive reasoning to identify patterns, make conjectures and find counterexamples to disprove conjectures. Video: http://player.discoveryeducation.com/index.cfm?guidassetid=b1b5f95d-f72e-4d18-b220-ff73204e9a74
Climatography of the United States No
No. 2 1971-2 Asheville, North Carolina 2881 COOP ID: 43417 Climate Division: CA 4 NWS Call Sign: N Lon: 121 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1)
Climatography of the United States No
No. 2 1971-2 Asheville, North Carolina 2881 COOP ID: 4795 Climate Division: CA 6 NWS Call Sign: SBA Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp
Climatography of the United States No
Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 63.9 39.3 51.6 86 1976 16 56.6 1986 20 1976 2 47.5 1973
Climatography of the United States No
Temperature ( F) Month (1) Min (2) Month(1) Extremes Lowest (2) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 32.8 21.7 27.3 62 1918 1 35.8 1983-24 1950 29 10.5 1979
Meteo data report, height: 20.0 m. Name of meteo object: Ugashik
Y:\\shared\Anemometer_Loan_Programs\Completed_ites\ative American\ - AK\ ind Data\.csv Y:\\shared\Anemometer_Loan_Programs\Completed_ites\ative American\ - AK\ ind Data\.csv Y:\\shared\Anemometer_Loan_Programs\Completed_ites\ative
Climatography of the United States No
No. 2 1971-2 Asheville, North Carolina 2881 COOP ID: 46175 Climate Division: CA 6 NWS Call Sign: 3L3 Elevation: 1 Feet Lat: 33 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1)
Climatography of the United States No
No. 2 1971-2 Asheville, North Carolina 2881 COOP ID: 42713 Climate Division: CA 7 NWS Call Sign: Elevation: -3 Feet Lat: 32 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1)
SPECIMEN. Date Morning/Afternoon. A Level Geography H481/01 Physical systems Sample Question Paper. Time allowed: 1 hour 30 minutes PMT
Oxford Cambridge and RSA A Level Geography H481/01 Physical systems Sample Question Paper Date Morning/Afternoon Time allowed: 1 hour 30 minutes You must have: the Resource Booklet the OCR 12-page Answer
Climatography of the United States No
Climate Division: CA 4 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 55.6 39.3 47.5 77
Climatography of the United States No
Climate Division: CA 5 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 56.6 36.5 46.6 81
Climatography of the United States No
Climate Division: CA 1 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 57.9 38.9 48.4 85
Climatography of the United States No
Climate Division: CA 5 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 44.8 25.4 35.1 72
Climatography of the United States No
Climate Division: CA 4 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 49.4 37.5 43.5 73
Climatography of the United States No
Climate Division: CA 6 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 69.4 46.6 58.0 92
Climatography of the United States No
Climate Division: CA 4 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3) Jan 58.5 38.8 48.7 79 1962
Climatography of the United States No
Climate Division: CA 6 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3) Jan 67.5 42. 54.8 92 1971
Climatography of the United States No
Climate Division: CA 1 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3) Jan 57.8 39.5 48.7 85 1962
UNCLASSIFIED. Environment, Safety and Health (ESH) Report
Environment, Safety and Health (ESH) Report Perfect Days On a Perfect Day nobody is hurt, we receive no community complaints, we have no security breaches, we do not breach our environmental permit conditions,
WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and Rainfall For Selected Arizona Cities
WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and 2001-2002 Rainfall For Selected Arizona Cities Phoenix Tucson Flagstaff Avg. 2001-2002 Avg. 2001-2002 Avg. 2001-2002 October 0.7 0.0
Climatography of the United States No
Climate Division: ND 8 NWS Call Sign: BIS Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 21.1 -.6 10.2
Climatography of the United States No
Climate Division: TN 1 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 47.6 24.9 36.3 81
Climatography of the United States No
Climate Division: CA 5 NWS Call Sign: FAT Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3) Jan 53.6 38.4 46. 78
Climatography of the United States No
Climate Division: CA 6 NWS Call Sign: 1L2 N Lon: 118 3W Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3) Jan 63.7
Climatography of the United States No
Climate Division: CA 5 NWS Call Sign: BFL Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3) Jan 56.3 39.3 47.8
How are adding integers and subtracting integers related? Work with a partner. Use integer counters to find 4 2. Remove 2 positive counters.
. How are adding integers and subtracting integers related? ACTIVITY: Work with a partner. Use integer counters to find 4. Start with 4 positive counters. Remove positive counters. What is the total number
Monitoring Platelet Issues - a novel approach CUSUM. Clive Hyam Blood Stocks Management Scheme London
Monitoring Platelet Issues - a novel approach CUSUM Clive Hyam Blood Stocks Management Scheme London Overview of Presentation What s driving the need to better understand platelet issues Potential tools
Dates and Prices ICAEW - Manchester In Centre Programme Prices
Dates and Prices ICAEW - Manchester - 2019 In Centre Programme Prices Certificate Level GBP ( ) Intensive Accounting 690 Assurance 615 Law 615 Business, Technology and Finance 615 Mangement Information
Climatography of the United States No
Climate Division: TN 3 NWS Call Sign: BNA Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 45.6 27.9 36.8
Pre-Calc Chapter 1 Sample Test. D) slope: 3 4
Pre-Calc Chapter 1 Sample Test 1. Use the graphs of f and g to evaluate the function. f( x) gx ( ) (f o g)(-0.5) 1 1 0 4. Plot the points and find the slope of the line passing through the pair of points.
Climatography of the United States No
Climate Division: CA 5 NWS Call Sign: Elevation: 6 Feet Lat: 37 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3)
Climatography of the United States No
Climate Division: CA 4 NWS Call Sign: Elevation: 2 Feet Lat: 37 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s (3)
Climatography of the United States No
Climate Division: CA 4 NWS Call Sign: Elevation: 13 Feet Lat: 36 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of s
Climatography of the United States No
Climate Division: CA 5 NWS Call Sign: Elevation: 1,14 Feet Lat: 36 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of
Jackson County 2014 Weather Data
Jackson County 2014 Weather Data 62 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data
Chapter 1 Handout: Descriptive Statistics
Preview Chapter 1 Handout: Descriptive Statistics Describing a Single Data Variable o Introduction to Distributions o Measure of the Distribution Center: Mean (Average) o Measures of the Distribution Spread:
Climatography of the United States No
Climate Division: CA 6 NWS Call Sign: LAX Elevation: 1 Feet Lat: 33 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of
Climatography of the United States No
Climate Division: CA 6 NWS Call Sign: TOA Elevation: 11 Feet Lat: 33 2W Temperature ( F) Month (1) Min (2) Month(1) Extremes Lowest (2) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number
Statistical Models for Rainfall with Applications to Index Insura
Statistical Models for Rainfall with Applications to April 21, 2008 Overview The idea: Insure farmers against the risk of crop failure, like drought, instead of crop failure itself. It reduces moral hazard
Power situation Sweden, english text
, english text Estimated inflow in Sweden (not spill corrected) 1%, median and 9% probability 196-216 TWh/week 7 6 5 4 3 Past 6 weeks Prior period 1 resp 9% probability, 196-216 2 1 Apr Jun Aug Oct Dec
INDIAN INSTITUTE OF SCIENCE STOCHASTIC HYDROLOGY. Lecture -12 Course Instructor : Prof. P. P. MUJUMDAR Department of Civil Engg., IISc.
INDIAN INSTITUTE OF SCIENCE STOCHASTIC HYDROLOGY Lecture -12 Course Instructor : Prof. P. P. MUJUMDAR Department of Civil Engg., IISc. Summary of the previous lecture Data Extension & Forecasting Moving
Rob J Hyndman. Forecasting using. 3. Autocorrelation and seasonality OTexts.com/fpp/2/ OTexts.com/fpp/6/1. Forecasting using R 1
Rob J Hyndman Forecasting using 3. Autocorrelation and seasonality OTexts.com/fpp/2/ OTexts.com/fpp/6/1 Forecasting using R 1 Outline 1 Time series graphics 2 Seasonal or cyclic? 3 Autocorrelation Forecasting
CITY OF MESQUITE Quarterly Investment Report Overview Quarter Ending June 30, 2018
CITY OF MESQUITE Quarterly Investment Report Overview Quarter Ending June 30, 2018 Investment objectives are safety, liquidity, yield and public trust. Portfolio objective is to meet or exceed the average
= observed volume on day l for bin j = base volume in jth bin, and = residual error, assumed independent with mean zero.
QB research September 4, 06 Page -Minute Bin Volume Forecast Model Overview In response to strong client demand, Quantitative Brokers (QB) has developed a new algorithm called Closer that specifically
Weekly price report on Pig carcass (Class S, E and R) and Piglet prices in the EU. Carcass Class S % + 0.3% % 98.
Weekly price report on Pig carcass (Class S, E and R) and Piglet prices in the EU Disclaimer Please note that EU prices for pig meat, are averages of the national prices communicated by Member States weighted
Technical note on seasonal adjustment for Capital goods imports
Technical note on seasonal adjustment for Capital goods imports July 1, 2013 Contents 1 Capital goods imports 2 1.1 Additive versus multiplicative seasonality..................... 2 2 Steps in the seasonal
Changing Hydrology under a Changing Climate for a Coastal Plain Watershed
Changing Hydrology under a Changing Climate for a Coastal Plain Watershed David Bosch USDA-ARS, Tifton, GA Jeff Arnold ARS Temple, TX and Peter Allen Baylor University, TX SEWRU Objectives 1. Project changes
Variability and trends in daily minimum and maximum temperatures and in diurnal temperature range in Lithuania, Latvia and Estonia
Variability and trends in daily minimum and maximum temperatures and in diurnal temperature range in Lithuania, Latvia and Estonia Jaak Jaagus Dept. of Geography, University of Tartu Agrita Briede Dept.
Climatography of the United States No
Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) 42.6 24.2 33.4 79 1950 25 44.2 1974-16 1994 19 18.8 1977 977
Virginia Basis Tables for Corn, Soybeans, and Wheat
VIRGINIA POL VTECHNIC INSTn U 11~. UNIVERSITY LIBRARIES Agricultural and Applied Economics Virginia Basis Tables for Corn, Soybeans, and Wheat David E. Kenyon* Introduction Futures prices determined at
2003 Water Year Wrap-Up and Look Ahead
2003 Water Year Wrap-Up and Look Ahead Nolan Doesken Colorado Climate Center Prepared by Odie Bliss http://ccc.atmos.colostate.edu Colorado Average Annual Precipitation Map South Platte Average Precipitation
Climatography of the United States No
Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 54.3 40.1 47.2 75 1998 17 53.0 1995 18 1949 11 41.7 1972
STATISTICAL FORECASTING and SEASONALITY (M. E. Ippolito; )
STATISTICAL FORECASTING and SEASONALITY (M. E. Ippolito; 10-6-13) PART I OVERVIEW The following discussion expands upon exponential smoothing and seasonality as presented in Chapter 11, Forecasting, in
TIGER: Tracking Indexes for the Global Economic Recovery By Eswar Prasad and Karim Foda
TIGER: Tracking Indexes for the Global Economic Recovery By Eswar Prasad and Karim Foda Technical Appendix Methodology In our analysis, we employ a statistical procedure called Principal Compon Analysis
Table 01A. End of Period End of Period End of Period Period Average Period Average Period Average
SUMMARY EXCHANGE RATE DATA BANK OF ZAMBIA MID-RATES Table 01A Period K/USD K/GBP K/ZAR End of Period End of Period End of Period Period Average Period Average Period Average Monthly January 6.48 6.46 9.82
Climatography of the United States No
Climate Division: CA 6 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 51.5 35.0 43.3 80
Scarborough Tide Gauge
Tide Gauge Location OS: 504898E 488622N WGS84: Latitude: 54 16' 56.990"N Longitude: 00 23' 25.0279"W Instrument Valeport 740 (Druck Pressure Transducer) Benchmarks Benchmark Description TGBM = 4.18m above
Climatography of the United States No
Climate Division: CA 5 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) 59.3 31.5 45.4 80 1976
Climatography of the United States No
Climate Division: CA 7 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) 44.5 29.3 36.9 69 1951
Climatography of the United States No
Climate Division: CA 2 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) 53.3 37.1 45.2 77 1962
Winter Season Resource Adequacy Analysis Status Report
Winter Season Resource Adequacy Analysis Status Report Tom Falin Director Resource Adequacy Planning Markets & Reliability Committee October 26, 2017 Winter Risk Winter Season Resource Adequacy and Capacity
Climatography of the United States No
Climate Division: CA 2 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) 53.3 31.8 42.6 74+ 1975