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bluewave

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  1. Took one of the strongest summer polar vortex patterns over the Arctic of the 2000's to prevent this year from equaling or surpassing 2012. The most dramatic pattern change that you will ever see there following the strongest blocking pattern on record from Jan-May.
  2. We'll see if we can keep the new record every 5 years going for 2017 with the previous records set in 2007 and 2012.
  3. NSIDC moves into second place ahead of 2007 but well behind 2012. That dramatic dipole reversal in June prevented us from equaling or surpassing the 2012 record minimum. Impressive temperature spike at the pole with the steeper losses the last few days.
  4. New record sea ice minimums seem to take longer to achieve than most people expect. I can remember the articles calling for an ice free Arctic by 2013 after the record low set in 2007. That record held on for 5 more seasons... longer than it was thought at the time. And after the record was finally broken in 2012, it is still holding on 4 years later despite renewed calls by some for an ice free Arctic by 2015 or 2016. So it will be interesting to see how long it actually takes to get to 1 million sq km or lower on NSIDC. Then the discussion would probably go to how long to zero. That may take a while due to compaction of the remaining sea ice up against the Canadian Archipelago and Greenland.
  5. It's as extreme a pattern reversal that you are going to see from the winter and spring record warmth to cooler summer. That PV was so strong that the Pacific sector North of Alaska to near Siberia was actually colder than 2013 was.
  6. It took the strongest summer Arctic polar vortex since 1996 for the slowest June into late August melt season since 2007 on NSIDC. The polar vortex was actually stronger than we saw in 2013.
  7. This is officially the slowest melt season from June 21st to August 21st on NSIDC going back to 2007. The only reason we are challenging 2nd or 3rd place is due to the record warmth and dipole pattern from the winter into spring. The 2012 record low will last at least 5 years just like the 2007 record low did. NSIDC 6/1-8/21 loss since 2007 2016...6005 2015...6328 2014...6369 2013...6599 2012...7944 2011...6735 2010...6247 2009...6451 2008...6585 2007...7156
  8. The 2012 record is safe no matter how much of an impact this storm has due to the reversal of the pattern in June. We would have had a good shot at at least rivaling the 2012 finish had that dipole persisted into June or July. https://nsidc.org/arcticseaicenews/ While there are still three to four weeks to go in the melt season, a new record low this September is highly unlikely. A simple projection method developed by Walt Meier at the NASA Goddard Space Flight Center uses daily ice loss rates from previous years to estimate possible trajectories of ice extent through the rest of the melt season. This approach yields a range of minimum values based on how sea ice loss progressed in previous years. By selecting from an average of multiple years, or using loss rates from a specific previous year, the method yields an estimate of the likely range of the minimum sea ice extent. As of August 14, using daily ice loss rates based on the 2006 to 2015 average yields an average projected 2016 minimum extent of 4.33 million square kilometers (1.67 million square miles). Using the slowest (recent) August to September decline, which occurred in 2006, yields a 2016 minimum of 4.76 million square kilometers (1.84 million square miles). Using the fastest rate of decline, from 2012, yields a 2016 minimum extent of 4.06 million square kilometers (1.57 million square miles). These two years bracket a reasonable range of expected 2016 minima. It is possible that this year will have decline rates that fall outside the range of previous years. However, this approach indicates that it is very unlikely that 2016 will have a minimum below 2012’s value of 3.39 million square kilometers (1.31 million square miles). A projection from August 1 was submitted to the Sea Ice Outlook.
  9. Interesting that the summer 500 mb pattern went to the CCSM4 long range forecast twice since 2013. Here's the presentation that offers theories why this may be the case: https://ams.confex.com/ams/94Annual/webprogram/Paper235210.html
  10. Slowest loss of sea ice on NSIDC going back to 2007 from June 1st to August 9th. This has to be the most dramatic reversal from a record warm winter and spring dipole pattern to summer polar vortex pattern on record. The summer dipole pattern that dominated the 2007-2012 era has been replaced by more of a polar vortex pattern since then with the exception of last July. We really need that type of a pattern to beat 2012 and make a run on the first ice free minimum. NSIDC sea ice losses from June 1st to August 9th since 2007: 2016...5137 2015...5442 2014...5538 2013...5629 2012...6914 2011...5921 2010...5660 2009...5645 2008...5708 2007...6614
  11. I compiled all the Newark summer temperature data going back to 2010. The 90/95/100 stats are for the warm season and the departures are JJA. Year....90...95...100...JJA 2010...54...21...4.....+3.9 2011...31...16...4.....+3.2 2012...33...17...3.....+1.7 2013...25...10...2.....+1.1 2014...15....2....0.....-0.4 2015...35....8....0.....+1.4
  12. 1985-2014 annual 30 year average number of 90 degrees per site: EWR...27 NYC....17 LGA....19 JFK.....10
  13. Here's the update on 90 degree days going back to 1984: 90 degree days Year..EWR....NYC....LGA.....JFK 84...22...10...9...13 85...11....9....8....5 86...22...11...9...8 87...37...22...19..11 88...43...32...26...14 89...27...16...17...9 90...26...12...10...6 91...41...39...26...13 92...22.....9...9......6 93...49...39...26...13 94...39...19...22...7 95...33...29...23...15 96....8.....3.....6....4 97...20...12...17...10 98...21.....8....11....5 99...33...27...26....14 00...16....7.....12.....6 01...22...15...17.....8 02...41...32....35...21 03...20....8...17.....12 04...13...2.....7.......1 05...37...23...30.....17 06...26...8....22......12 07...21..10...23.......7 08...22...12...19......9 09...14....7.....8.......6 10...54....37...48.....32 11...31...20...19.....13 12...33...19....28....16 13...25....17....21....9 14...15....8......6.....2
  14. http://www.nws.noaa.gov/oh/hdsc/aep_storm_analysis/11_Islip_2014.pdf Exceedance Probability Analysis for the Islip, NY Rainfall Event, 13 August 2014 Hydrometeorological Design Studies Center National Weather Service National Oceanic and Atmospheric Administration 1325 East­West Highway, Silver Spring, MD 20910 E­mail: [email protected] Updated: 22 August 2014 The Hydrometeorological Design Studies Center (HDSC) analyzed annual exceedance probabilities (AEPs) for the Islip, NY rainfall event that occurred on 13 August 2014. AEP is probability of exceeding a given amount of rainfall at least once in any given year at a given location. It is an indicator of the rarity of rainfall amounts and is used as the basis of hydrologic design. The Islip event delivered rainfall amounts that exceeded 11 inches in 3 hours in some locations, causing extreme flash flooding. The rarity of this event is illustrated in two figures below. Figure 1 shows how the maximum observed rainfall amounts compared to corresponding rainfall frequency estimates for AEPs from 1/2 (50%) to 1/1000 (0.1%) for durations from 30 minutes to 72 hours for a rain gauge in the Islip area ­ KISP, MacArthur Airport (40.7939°N, 73.1017°W, 98 ft elevation). The KISP gauge is part of the Automated Surface Observing System (ASOS). The AEPs are preliminary estimates from unpublished NOAA Atlas 14, Volume 10, Version 1 and may differ from final estimates, which will be released in 2015. The upper bound of the 90% confidence interval for 1/1000 AEP is also shown in the figure to illustrate uncertainty associated with the calculation of AEPs, which increase as the AEP becomes smaller. As can be seen from Figure 1, probabilities are less than 1/1000 for durations between 45­min and 24­hour. Both 2­hour and 3­hour amounts exceed the upper bound of the 90% confidence interval of corresponding 1/1000 estimates.
  15. A new study just out addresses how the PDO can impact global temperatures on a decadal timescale. http://www.climatecentral.org/news/why-the-globe-hasnt-warmed-much-for-the-past-decade-15788 The natural variation in this case appears to be changes in wind patterns associated with the Pacific Decadal Oscillation, or PDO, a gradual see-sawing of ocean surface temperatures and wind patterns that goes through warm and cold phases lasting several decades. (The more familiar El Nino/La Nina oscillation, by contrast, see-saws every few years). According to Trenberth and his colleagues, deep ocean temperatures began to rise significantly starting in about 2000, at about the same time as trade winds in the Pacific were changing in strength, in turn affecting ocean currents, all very plausibly as a result of a shift in the PDO. http://www.skepticalscience.com/new-research-confirms-global-warming-has-accelerated.html This study builds on another paper published in 2011. http://www.cgd.ucar.edu/cas/Staff/Fasullo/my_pubs/Meehl2011etalNCC.pdf There have been decades, such as 2000–2009, when the observed globally averaged surface-temperature time series shows little positive or even slightly negative trend1 (a hiatus period). However, the observed energy imbalance at the top-of-atmosphere for this recent decade indicates that a net energy flux into the climate system of about 1 W m−2 7 (refs 2,3) should be producing warming somewhere in the system4,5 . Here we analyse twenty-first-century climate-model simulations that maintain a consistent radiative imbalance at the top-of-atmosphere of about 1 W m−2 as observed for the 11 past decade. Eight decades with a slightly negative global mean surface-temperature trend show that the ocean above 300 m takes up significantly less heat whereas the ocean below 300 m takes up significantly more compared with non-hiatus decades. The model provides a plausible depiction of processes in the climate system causing the hiatus periods, and indicates that a hiatus period is a relatively common climate phenomenon and may be linked to La Niña-like conditions. The time series of globally averaged surface temperature from all five climate-model simulations show some decades with little or no positive trend (Fig. 1a), as has occurred in observations (Supplementary Fig. S1 top). Running ten year linear trends of globally averaged surface temperature from the five model ensemble members reveal hiatus periods (Fig. 1a) comparable to observations (Supplementary Fig. S1 middle). Using the first ensemble member as an example, the overall warming averaged over the century is about +0.15 ◦ C per decade. However, the decades centred around 2020, 2054, 2065, 2070, and several decades late in the century show either near zero or slightly negative trends in that ensemble member. We choose two ten year periods in this ensemble member when the globally averaged surface temperature is negative, that is, less than −0.10 ◦ C over the decade (Fig. 1a), and six similar periods that meet the same criterion from the other four ensemble members, to form an eight-member composite of hiatus periods. http://www.sciencedaily.com/releases/2011/09/110918144941.htm To track where the heat was going, Meehl and colleagues used a powerful software tool known as the Community Climate System Model, which was developed by scientists at NCAR and the Department of Energy with colleagues at other organizations. Using the model's ability to portray complex interactions between the atmosphere, land, oceans, and sea ice, they performed five simulations of global temperatures. The simulations, which were based on projections of future greenhouse gas emissions from human activities, indicated that temperatures would rise by several degrees during this century. But each simulation also showed periods in which temperatures would stabilize for about a decade before climbing again. For example, one simulation showed the global average rising by about 2.5 degrees Fahrenheit (1.4 degrees Celsius) between 2000 and 2100, but with two decade-long hiatus periods during the century. Metoffice decadal forecast using a similar theme: http://www.metoffice.gov.uk/news/releases/archive/2013/decadal-forecasts http://www.metoffice.gov.uk/research/climate/seasonal-to-decadal/long-range/decadal-fc http://www.metoffice.gov.uk/research/news/decadal-forecasting
  16. I believe that this may have been one of the only tornadoes known to impact Islip while moving NNE and forming south of Long island. It seems like most Western to Central Suffolk tornadoes have more of an easterly heading and track along warm fronts or sea breeze boundaries. There was also another Tornado to impact Breezy point early in September that formed south of Long island with the very warm SST's. The magnitude of the snowfall at Islip may have been considered a 100 year event, and it would be interesting to see the specific numbers on that. The sharp turn to the left of Hurricane Sandy into the New Jersey may have been considered a a 714 year event. This recent study just completed is a very interesting read: http://www.ldeo.columbia.edu/~sobel/Papers/hall_sobel_grl_submitted.pdf
  17. CBS Video out of Tuscaloosa: http://www.cbs42.com...A.cspx?rss=2272
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