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remyweather

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    http://weatherinthehud.blogspot.com
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    Irvington, NY

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  1. https://stevengoddard.wordpress.com/2013/08/16/nasa-massively-tampering-with-the-us-temperature-record/ Take a look at that link, really amazing to see two of the same charts doing completely different things for the same years, supposedly using the same exact data set. Shall I say some data altering was [is] going on? Several new datasets have come out in the last couple of months, including the UAH 2015 data in April, and ERSSTv4 was just released as well...it got many major upgrades for the SST configurations, bouy adjustments and ship bias stuff. Supposedly we can see the ENSO events better with the latest data. My problem with all these data sets is that they have gone through algorithms, correcting and whatnot. You cannot tell me there is no bias in these "corrections" the data goes through, because otherwise the different data sets would not have different ideas. Another issue is the base period used to create the anomalies. UAH uses 1961-1990 I believe, while latest NASA data uses 1981-2010 I believe...these different base periods will yield different anomalies since the averages during those base periods are different, assuming these anomalies are being derived from taking the averages of each month or year (depending on set) and then taking the Standard Deviation of each Month or Year (again depending on the set) and then finding the Normalized Anomaly from that (=(Unit AVG-Total$AVG)/STD$DEV). Why cant all the data just get the anomaly from the avg's and stdev of that entire set of data. FOR instance, if we have global temps 1978-2015, why cant the anomaly be based off that entire period, why must they use 1981-2010 or 1961-1990. That makes no sense. They want Anomaly from "Normal" well the normal for 1978-2015 would be the average from 1978-2015, and any anomaly would be off that avg. I would love to get my hands on PURE raw data, no comparing, no algorithms, no fixing, I want the temperature that the measuring device measures and then let me find the norm from that. Enough for now, I cannot digress too much. BUT I did include SOME (if I shared all id be sharing 12+GB of data) graphs of the datasets I have been using, I made the graphs myself and spent hours and hours removing the "base periods" from the sets to be able to compare it myself.
  2. Thanks guys! I am definitely telling some of my friends about this site I really like the design of it too
  3. Hey! I am new here so I thought I would introduce myself I am Remy Mermelstein, in 10th grade at Irvington High School in NY just north of NYC. I have always been interested in weather, and did many reports on different weather topics back in elementary school. Back at the end of 8th grade I made my own Facebook Blog where I post forecasts almost every day, and other weather discussions, homemade maps and model data, the FB page is called Weather Or Not in the Rivertowns with Remy Mermelstein, it can be found at this link: https://www.facebook.com/remyweatherchannel Halfway through freshman year (last year) my good friend joined me on the FB page, and we then started an identical blog WeatherInTheHud with Remy & Dillon which can be found at weatherinthehud.blogspot.com We post the same things as on the FB page here, but for people who do not have FB. You can sign up with an email to get the updates by email as well This year we are both doing the Science Research program at my school, and consequently are working together on research regarding Teleconnections and Oscillations/Ocean Circulations and other major patterns and how they influence smaller local patterns and ultimately the everyday sensible weather. Our theory is that if we can foresee and predict the major and biggest patterns and know as many effects/causes they have on other smaller patterns then we can be in a much better place to forecast everyday weather. We are also using this to study climate change from both sides of the argument (AGW..etc). We have been lucky enough to be working with Joe D'Aleo as our mentor and much of the amazing team at Weatherbell Analytics since November, which has been absolutely amazing. Anyway, just wanted to say hi, this forum looks mighty fine Sorry if I posted this in the wrong forum
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