Title | ||
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Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature. |
Abstract | ||
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Obtaining 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 (similar to 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 degrees C (0.31 degrees C) and a RMSE of 0.86 degrees C (0.91 degrees C). The MUR LSWT versus in situ measurements for Lake Oneida have overall large biases (-1.74 degrees C) and RMSE (3.42 degrees 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. |
Year | DOI | Venue |
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2017 | 10.3390/rs9070723 | REMOTE SENSING |
Keywords | Field | DocType |
lake surface temperature,sea surface temperature (SST),surface state,lake modeling,numerical weather prediction,surface analysis | Satellite,Moisture,Satellite imagery,Surface water,Data synthesis,Geology,Climatology,Numerical weather prediction | Journal |
Volume | Issue | ISSN |
9 | 7 | 2072-4292 |
Citations | PageRank | References |
1 | 0.39 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Erik Crosman | 1 | 1 | 0.72 |
Jorge Vazquez-Cuervo | 2 | 4 | 3.36 |
Toshio Michael Chin | 3 | 1 | 0.39 |