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Found 134 results

  1. I decided to make a fresh thread for this. This year, I am not bothering with the map. If you want to contribute to this table, I will need your location. Past users, if nothing has changed, all you need to do is let me know if you want to be a part of it this year. (in this thread)The username and password is the same for those who update totals on their own. (which I prefer) Send a PM if you need the username and password. I don't spend nearly as much time here as I used to, but I will be sure to keep things as up to date as possible. 2014-15 Table
  2. I have written a piece on what I currently see occurring with the weather patterns and how they will transition into winter. The forecast needs some slight tweaks here and there, but overall I tried to keep it as simple as I could so that people could understand it. http://weather.st/blog/winter-of-2015-2016-whats-the-verdict/ Now I realize there are quite a few people out there who will scream and throw eggs in my general direction for even putting this up, but be rest assured it is not a panic cry, or a hype job. And for those who are going to ask, "Where did you get this data from?" I took the time to mention in the article where the sources were coming from, and that analogs plus climatology had quite a bit to do with formation of the projection, not to mention trends over the past few years in storm tracks. Thanks! Please post your own forecasts as well here, I would love to see them!
  3. Hi everybody I’m new here. I live in The Netherlands, nearby Amsterdam. I’m a biologist, but I’ve always been interested in the weather and in climate change. I’ve made nice overviews (at least, I hope so) of the temperatures in the US, based on data of the NOAA National Climatic Data Center. Please click here for a PDF of one of the stations. There is a Fahrenheit version and a Celsius version. Therefore, all the data are double available. At the bottom of the PDF page you can see the highest and the lowest minimum and maximum temperature for each month, and the day and the year on witch this temperature was reached. It shows the history of the temperatures in 80 places in the US since 1976. The background colors show the daily mean temperature (Tmax + Tmin)/2; good enough for this purpose. Also the presence of a snow cover and the snow depth are shown. The monthly averages are also taken from the National Climatic Data Center. Based on that, I calculated the average annual temperature, and the 30-year average temperature. The data from the Data Center are given in Celsius. I converted it to Fahrenheit but maybe this can give small differences with official published values. Why this? Well, I started to do this with de Dutch data, then I took the German data and then the European data. And the data from the U.S. are easy to access, so… O.K., you can say I spend too much time doing this, but it’s kind of interesting. From a European point of view, the American data are interesting because we hear a lot of stories of very cold winters in the US, while here in this part of Europe we didn’t have a winter at all; nor did we have last year. With the 30-year average I want to show climate change (in fact not necessarily that; when there is no change, I want to show that as well) but I do realize that there can be all kind of bias in the data. In some stations in the US you can see a significant increase of the 30-year average, while on some other places there is not much of a change. I’ve been looking for official published normals of the main stations in the US. I only found these data of the period 1951-1980 and 1981-2010. More about that later.
  4. Here is a snowfall map that I created using reports from various sources. Many of the reports came from this forum and the National Weather Service. Only social media reports that passed through quality control were considered. All reports gathered were carefully considered and compared before being included. Light rain developed during the morning hours on November 26th and mixed with some sleet inland. Wet snow initially confined to the far northwestern corner of the state. As steadier precipitation moved in, a slight southeast shift of the snow/sleet line was observed with some modest evaporational cooling. However, much of coastal and southeastern Connecticut stayed predominantly rain. The main reason for the mixed precipitation and sleet was a warm layer in the atmosphere around 700mb. As precipitation became heavy, sleet fell across much of central Connecticut. Wet snow continued across northwestern Connecticut and rain moved as far northwest as Meriden and Hartford with some warming aloft nudging into the valleys. Even in those areas, the 2-meter temperature hovered around 34 degrees for much of the event, which did not allow for significant amounts of snow to accumulate. Precipitation tapered off to scattered snow showers by early evening. As cooler air gradually funneled in, a light additional accumulation of snow was reported in many areas. A few broken, but locally enhanced bands of snow continued into the early morning hours on the 27th. The greatest snowfall totals were in the range of 6 to 10 inches across northwestern Connecticut. Totals dropped off fairly quickly to the south and east. A narrow area of 3 to 6 inches was observed near and just northwest of I-84. Just southeast of there, 1 to 3 inches was reported and the southeastern third of the state generally saw less than one inch of snow. Where the snow did accumulate, it had a very high water content, especially those areas that battled between a mixture of snow, sleet and rain.
  5. Here is a snowfall map that I created using reports from various sources. Many of the reports came from this forum and the National Weather Service. Only social media reports that passed through quality control were considered. All reports gathered were carefully considered and compared before being included. Light rain, with light snow across the higher elevations, developed across Connecticut during the evening hours of November 13th. The steadiest and heaviest snow fell around midnight and tapered off during the pre-dawn hours on November 14th. Most locations eventually changed to snow, with the exception being the immediate shoreline and urban coastal corridor from New Haven down toward the New York border. On average, the hills saw anywhere from 1 to 3 inches of snow, with generally an inch or less across the valleys and shoreline. The highest amounts around and just over 3 inches were reported in Litchfield County.
  6. Actually, this is more of a test image. Just checking out the system, timing, ease of use, etc.

    © Stormitecture, Jason Foster

  7. While still being a day 5ish event, it is not to early to start looking at some of the possible implications of various models. At this juncture, we generally have the GFS and the Euro book-ending a possibilities window that includes a cutter to Chicago and a more suppressed system that goes East of Hatteras For the most part been consistently left of the GFS ... with its ensembles a tad to the right of the operational Euro (but no where near the GFS). The 12z GFS Ensembles cut the difference with somewhat of a middle ground ... bringing the primary low into Ohio, with a coastal transfer. Depending on the amount of moisture return that is achieved in the warm sector, the operational GFS could be a notable severe weather event. And would keep QPF amounts across the DC/NOVA area on the light side with little possibilities for winter weather. The transfer with this solution simply happens too late to provide the lift for precipitation and wraparound of cold air. Then we have the Euro with it's more southern solution. It would mean a smaller spatial window for severe weather possibilities and a better chance for wintry weather for the area (especially west ... like we saw with the early March event). Given the time range and the placement of the the ensembles in the middle of the operationals I would expect to see some compromise towards the middle in terms of track over the next 1-3 days ... rather than an extreme on either side verifying. If I had to pick a solution verbatim from this mornings 12z suite for the heck of it, it would be the GEFS.
  8. Ian

    Yup

    From the album: Stuff

    © Ian Livingston