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).
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