Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature
AbstractObtaining accurate and timely lake surface water temperature (LSWT) analyses from satellite remains difficult. Data gaps, cloud contamination, variations in atmospheric profiles of temperature and moisture, and a lack of in situ observations provide challenges for satellite-derived LSWT for climatological analysis or input into geophysical models. In this study, the Multi-scale Ultra-high Resolution (MUR) analysis of LSWT is evaluated between 2007 and 2015 over a small (Lake Oneida), medium (Lake Okeechobee), and large (Lake Michigan) lake. The advantages of the MUR LSWT analyses include daily consistency, high-resolution (~1 km), near-real time production, and multi-platform data synthesis. The MUR LSWT versus in situ measurements for Lake Michigan (Lake Okeechobee) have an overall bias (MUR LSWT-in situ) of −0.20 °C (0.31 °C) and a RMSE of 0.86 °C (0.91 °C). The MUR LSWT versus in situ measurements for Lake Oneida have overall large biases (−1.74 °C) and RMSE (3.42°C) due to a lack of available satellite imagery over the lake, but performs better during the less cloudy 15 July–30 September period. The results of this study highlight the importance of calculating validation statistics on a seasonal and annual basis for evaluating satellite-derived LSWT. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Crosman, E.; Vazquez-Cuervo, J.; Chin, T.M. Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature. Remote Sens. 2017, 9, 723.
Crosman E, Vazquez-Cuervo J, Chin TM. Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature. Remote Sensing. 2017; 9(7):723.Chicago/Turabian Style
Crosman, Erik; Vazquez-Cuervo, Jorge; Chin, Toshio M. 2017. "Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature." Remote Sens. 9, no. 7: 723.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.