Realtime data filtering models for air temperature measurements

Publication Year:
2002
Usage 58
Downloads 56
Abstract Views 2
Repository URL:
https://digitalcommons.unl.edu/natrespapers/602
Author(s):
Hubbard, Kenneth G.; Lin, X.
Tags:
Environmental Sciences; Natural Resources and Conservation; Natural Resources Management and Policy; Other Environmental Sciences
article description
Air temperature measurement biases caused by solar radiation and ambient wind speed are well-known. However, realtime air temperature filtering models are essential for generating homogeneous climate data by transforming one air temperature measurement system into another, and correcting in-situ air temperature biases especially for non-aspirated radiation shield systems. This study investigated the air temperature biases caused in the commonly used radiation shields in the United States, including the ASOS, MMTS, Gill, CRS, ASP-ES, and NON-ASPES shields along with corresponding temperature sensors. The realtime air temperature filtering models developed for each air temperature system are capable of removing the solar radiation and ambient wind speed effects on air temperature measurements taken over comparable vegetation surfaces at any weather station or experimental site.