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Thermal Infrared Remote Sensing of Lake Temperatures – Status Quo and the Future. Philipp Schneider Jet Propulsion Laboratory California Institute of Technology Contact: philipp.schneider@jpl.nasa.gov. Main research areas. Spatially distributed temperature mapping Coastal upwelling events
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Thermal Infrared Remote Sensing of Lake Temperatures – Status Quo and the Future Philipp Schneider Jet Propulsion Laboratory California Institute of Technology Contact: philipp.schneider@jpl.nasa.gov
Main research areas • Spatially distributed temperature mapping • Coastal upwelling events • Temperature fronts • Circulation patterns • Quantifying long-term temporal trends in lake temperature • How do lake temperatures react to climate change? • Can lake temperatures be used as independent observations and indicators of climate change? • How reliable are satellite-derived trends? • What do such changes mean for lake ecology? 1985-2008 JAS temperature time series for the Great Lakes derived from merged AVHRR Pathfinder and (A)ATSR data
Status Quo: TIR Data availability • Moderate Resolution Imaging Spectroradiometer (MODIS) • Terra (2000 through present) • Aqua (2002 through present) • Advanced Very High Resolution Radiometer (AVHRR) • 1981/1985 through present • Series of Along-Track Scanning Radiometers (ATSR) • ATSR (1991 through 1997) • ATSR-2 (1996 through 2003) • AATSR (2002 through present Spatial resolution: Good Temporal resolution: Good Record length: Poor Accuracy: Good Spatial resolution: Good/Poor Temporal resolution: Good Record length: Good Accuracy: Poor Spatial resolution: Good Temporal resolution: Moderate Record length: Moderate Accuracy: Good
Status Quo: TIR Data quality RMSE = 0.2 ºC Validation of MODIS Terra, AATSR, and ATSR-2 lake surface temperatures against radiometer-based in situ observations at Lake Tahoe Validation of 1985-2008 satellite trends against trends computed from hourly data of eight NDBC buoys at the Great Lakes
What is needed in future? • Advancing space-based mapping of lake temperatures • High spatial resolution (< 100 m) • Data accuracy (< 0.2 K?) • Good in situ data for validation (radiometer-based skin temperature measurements) • How can we improve the analysis of long-term trends in lake temperatures? • Moderate spatial resolution (~ 500 m) • High temporal resolution • Data continuity • Consistent calibration and validation • Reprocessing of the existing archive to achieve better inter-sensor consistency HyspIRI HyspIRI+ VIIRS + ?
Multi-sensor TIR time series Multi-sensor time series of Lake Tahoe surface temperature 1985-2009
Global average Global mean JAS temperature anomaly over 129 lakes worldwide with respect to the 1985-2008 mean Trend:0.35 ºC / decade
Potential discussion topics • How can both data continuity AND data accuracy ensured in the future? • What resolutions (spatial, temporal, spectral) are required? • What other temperature-related research is the Great Lakes community interested in and how can we address them? • How do temperature trends at the Great Lakes relate to lake temperature trends in other regions