(US visitors might be interested to know that the 10 most popular US states for degree-day downloads are, in descending order of popularity: New York, California, Massachusetts, Pennsylvania, Texas, Ohio, Michigan, Maine, Connecticut, and Florida.
Columbus ohio weather november 2021 zip#
You should have no trouble finding nearby stations by searching for your city, state, or zip code. Our database covers a huge number of US weather stations. It is usually better to choose a good local weather station, as this should represent the weather (and energy consumption) at your building better than any " reference" station further away. However, the internet has made it feasible to make much larger quantities of data readily available, and there is little need for degree-day regions nowadays.
If you can find out what the reference station for your region was, you should be able to get data for it (and therefore for your region) from our system.
The degree days for a "region" were typically just the degree days for a " reference" weather station that had been chosen to represent the region. The practice of splitting a country into " degree-day regions" stems from a time when degree days were disseminated in print publications with limited space. How can I get data for my "degree-day region"? Also, please bear in mind that even though Degree has been carefully programmed to detect errors in the source temperature data and to minimize the chance of calculation errors, we cannot vouch for the accuracy of any data that Degree generates. You should use your own judgement when deciding whether or not to use data from any particular station – only you can determine the level of accuracy that you require. We do what we can to correct for these problems (we are obsessive about calculating degree days as accurately as possible), but we also feel it's important for us to highlight the underlying data-quality issues, to help people decide which weather stations to use, and assess the accuracy of their data analysis. So it's generally better to choose from the top of the list rather than the bottom.ĭegree is not unique in having to deal with less-than-perfect temperature data, as pretty much all real-world weather stations have at least minor problems occasionally. We aim to list the best weather stations for your search location first, considering the data quality and coverage of each station, as well as the distance from your search location. You can hover your mouse over any station to see a popup with more specifics. You can click the "map" link to see where they are all located, and each listed station will have a blue bar indicating how far back in time the data can go (the coverage), and a star rating indicating the estimated quality of the data (based on the " % estimated" values mentioned above). When you search for a location, you will typically get a long list of weather stations to choose from. We mark all affected figures with a " % estimated" value so you can assess the impact of the problems detected. We use sophisticated processes to identify and discard erroneous temperature readings and to fill gaps with estimated data. We have programmed Degree to make the best of whatever data is available. because they were only set up recently), gaps and errors in their reporting, and less-than-ideal recording frequencies (for example, some only record the temperature every 6 hours or so, and some don't record at night). But lesser stations may have shorter data histories (e.g.
Many stations in our system have a long history of reporting frequent, regular, accurate temperature readings, from which we can calculate high-quality degree days going back a long time. The closest weather station isn't necessarily the best choice, because weather stations vary considerably in their data quality and coverage (the length of time covered by their historical records). Choosing the best weather station for location and accuracyĭegree calculates its degree days using temperature data from thousands upon thousands of weather stations worldwide. You might also want to find out why 5000+ energy professionals get data from here each month (and often a lot more frequently). If you are new to degree days, you might want to skip straight to the brief introduction at the bottom of this page. However, we suggest you read the tips below as they do cover some important points. If you are already experienced with degree days, you will probably find most of the options above to be self explanatory (the less-obvious regression options have separate instructions).
0 kommentar(er)
