A method for estimating the diffuse attenuation coefficient (KdPAR)from paired temperature sensors
A new method for estimating the diffuse attenuation coefficient for photosynthetically active radiation (KdPAR) from paired temperature sensors was derived. We show that during cases where the attenuation of penetrating shortwave solar radiation is the dominant source of temperature changes, time series measurements of water temperatures at multiple depths (z1 and z2) are related to one another by a linear scaling factor (α). KdPAR can then be estimated by the simple equation KdPAR = ln(α)/(z2−z1). A suggested workflow is presented that outlines procedures for calculating KdPAR according to this paired temperature sensor (PTS) method. This method is best suited for conditions when radiative temperature gains are large relative to physical noise. These conditions occur frequently on water bodies with low wind and/or high KdPARs but can be used for other types of lakes during time periods of low wind and/or where spatially redundant measurements of temperatures are available. The optimal vertical placement of temperature sensors according to a priori knowledge of KdPAR is also described. This information can be used to inform the design of future sensor deployments using the PTS method or for campaigns where characterizing sub‐daily changes in temperatures is important. The PTS method provides a novel method to characterize light attenuation in aquatic ecosystems without expensive radiometric equipment or the user subjectivity inherent in Secchi depth measurements. This method also can enable the estimation of KdPAR at higher frequencies than many manual monitoring programs allow.
Citation Information
Publication Year | 2015 |
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Title | A method for estimating the diffuse attenuation coefficient (KdPAR)from paired temperature sensors |
DOI | 10.1002/lom3.10006 |
Authors | Jordan S. Read, Kevin C. Rose, Luke A. Winslow, Emily K. Read |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Limnology and Oceanography: Methods |
Index ID | 70159896 |
Record Source | USGS Publications Warehouse |