Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest
The ability to spatially characterize runoff generation and forest health depends partly on the accuracy and resolution of evapotranspiration (ET) simulated by numerical models. A possible strategy to increase the accuracy and resolution of numerically modeled ET is the use of remotely sensed ET pro...
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MDPI AG
2021-03-01
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Online Access: | https://www.mdpi.com/2072-4292/13/7/1258 |
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author | Steven M. Jepsen Thomas C. Harmon Bin Guan |
author_facet | Steven M. Jepsen Thomas C. Harmon Bin Guan |
author_sort | Steven M. Jepsen |
collection | DOAJ |
description | The ability to spatially characterize runoff generation and forest health depends partly on the accuracy and resolution of evapotranspiration (ET) simulated by numerical models. A possible strategy to increase the accuracy and resolution of numerically modeled ET is the use of remotely sensed ET products as an observational basis for parameter estimation (model calibration) of those numerical models. However, the extent to which that calibration strategy leads to a realistic representation of ET, relative to ground conditions, is not well understood. We examined this by comparing the spatiotemporal accuracy of ET from a remote sensing product, MODIS MOD16A2, to that from a watershed model (SWAT) calibrated to flow measured at an outlet streamgage. We examined this in the upper Kings River watershed (3999 km<sup>2</sup>) of California’s Sierra Nevada, a snow-influenced watershed in a Mediterranean climate. We assessed ET accuracies against observations from three eddy-covariance flux towers at elevations of 1160–2700 m. The accuracy of ET from the stream-calibrated watershed model surpassed that of MODIS in terms of Nash-Sutcliffe efficiency (+0.36 versus −0.43) and error in elevational trend (+7.7% versus +81%). These results indicate that for this particular experiment, an outlet streamgage would provide a more effective observational basis than remotely sensed ET product for watershed-model parameter estimation. Based on analysis of ET-weather relationships, the relatively large errors we found in MODIS ET may be related to weather-based corrections to water limitation not representative of the hydrology of this snow-influenced, Mediterranean-climate area. |
first_indexed | 2024-03-10T12:53:38Z |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T12:53:38Z |
publishDate | 2021-03-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-cca46f4b90f845838a0227f62103c5582023-11-21T12:07:51ZengMDPI AGRemote Sensing2072-42922021-03-01137125810.3390/rs13071258Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane ForestSteven M. Jepsen0Thomas C. Harmon1Bin Guan2Department of Civil & Environmental Engineering and Environmental Systems Graduate Program, University of California Merced, 5200 N. Lake Road, Merced, CA 95343, USADepartment of Civil & Environmental Engineering and Environmental Systems Graduate Program, University of California Merced, 5200 N. Lake Road, Merced, CA 95343, USAJoint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, 607 Charles E. Young Drive East, Los Angeles, CA 90095, USAThe ability to spatially characterize runoff generation and forest health depends partly on the accuracy and resolution of evapotranspiration (ET) simulated by numerical models. A possible strategy to increase the accuracy and resolution of numerically modeled ET is the use of remotely sensed ET products as an observational basis for parameter estimation (model calibration) of those numerical models. However, the extent to which that calibration strategy leads to a realistic representation of ET, relative to ground conditions, is not well understood. We examined this by comparing the spatiotemporal accuracy of ET from a remote sensing product, MODIS MOD16A2, to that from a watershed model (SWAT) calibrated to flow measured at an outlet streamgage. We examined this in the upper Kings River watershed (3999 km<sup>2</sup>) of California’s Sierra Nevada, a snow-influenced watershed in a Mediterranean climate. We assessed ET accuracies against observations from three eddy-covariance flux towers at elevations of 1160–2700 m. The accuracy of ET from the stream-calibrated watershed model surpassed that of MODIS in terms of Nash-Sutcliffe efficiency (+0.36 versus −0.43) and error in elevational trend (+7.7% versus +81%). These results indicate that for this particular experiment, an outlet streamgage would provide a more effective observational basis than remotely sensed ET product for watershed-model parameter estimation. Based on analysis of ET-weather relationships, the relatively large errors we found in MODIS ET may be related to weather-based corrections to water limitation not representative of the hydrology of this snow-influenced, Mediterranean-climate area.https://www.mdpi.com/2072-4292/13/7/1258evapotranspirationmodelSWATcalibrationregressionremote sensing |
spellingShingle | Steven M. Jepsen Thomas C. Harmon Bin Guan Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest Remote Sensing evapotranspiration model SWAT calibration regression remote sensing |
title | Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest |
title_full | Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest |
title_fullStr | Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest |
title_full_unstemmed | Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest |
title_short | Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest |
title_sort | analyzing the suitability of remotely sensed et for calibrating a watershed model of a mediterranean montane forest |
topic | evapotranspiration model SWAT calibration regression remote sensing |
url | https://www.mdpi.com/2072-4292/13/7/1258 |
work_keys_str_mv | AT stevenmjepsen analyzingthesuitabilityofremotelysensedetforcalibratingawatershedmodelofamediterraneanmontaneforest AT thomascharmon analyzingthesuitabilityofremotelysensedetforcalibratingawatershedmodelofamediterraneanmontaneforest AT binguan analyzingthesuitabilityofremotelysensedetforcalibratingawatershedmodelofamediterraneanmontaneforest |