Question-and-Answer Resource for the Building Energy Modeling Community
 | 1 | initial version |
Totally agree with what Julien wrote. Weather data are not random numbers thrown together, there are a lot of synchronization between the different elements, and in the worst case you could even produce a weather file that's physically impossible, like having the dewpoint higher than the dry bulb and relative humidities greater than 100 or less than 0. There are also a lot of subtle and not so subtle relationships between the temperature, wind speed, and solar radiation that I don't even want to get into.
My recommendation is that you find all the weather data elements for the same period and location as your dry bulb temperatures. These days such data are amply available from various sources, starting from the National Climatic Data Center and a whole host of weather-related web sites. One of the unintended consequences of the government (DOE, DOC) making typical year data (TMYX) readily available is the false impression that such data is plentiful while actual year data are not. The reality is the opposite, a typical year file can only be created if there are 10-25 years of historical data.
| | 2 | No.2 Revision |
Totally agree with what Julien wrote. Weather data are not random numbers thrown together, there are a lot of synchronization between the different elements, and in the worst case you could even produce a weather file that's physically impossible, like having the dewpoint higher than the dry bulb and relative humidities greater than 100 or less than 0. There are also a lot of subtle and not so subtle relationships between the temperature, wind speed, and solar radiation that I don't even want to get into.
My recommendation is that you find all the weather data elements for the same period and location as your dry bulb temperatures. These days such data are amply available from various sources, starting from the National Climatic Data Center and a whole host of weather-related web sites. One of the unintended consequences of the government (DOE, DOC) making typical year data (TMYX) readily available is the false impression that such data is are plentiful while actual year data are not. The reality is the opposite, a typical year file can only be created if there are 10-25 years of historical data. data.
| | 3 | No.3 Revision |
Totally agree with what Julien wrote. Weather data are not random numbers thrown together, there are is a lot of synchronization between the different elements, and in the worst case you could even produce a weather file that's physically impossible, like having the dewpoint higher than the dry bulb and relative humidities greater than 100 or less than 0. There are also a lot of many subtle and not so subtle relationships between the temperature, wind speed, and solar radiation that I don't even want to get into.
My recommendation is that you find all the weather data elements for the same period and location as your dry bulb temperatures. These days such data are amply available from various sources, starting from the National Climatic Data Center and a whole host of weather-related web sites. One of the unintended consequences of the government (DOE, DOC) making typical year data (TMYX) readily available is the false impression that such data are plentiful while actual year data are not. The reality is the opposite, a typical year file can only be created if there are 10-25 years of historical data.
