4.7 Article

Resolve the Clear-Sky Continuous Diurnal Cycle of High-Resolution ECOSTRESS Evapotranspiration and Land Surface Temperature

期刊

WATER RESOURCES RESEARCH
卷 58, 期 9, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2022WR032227

关键词

ECOSTRESS; diurnal cycle; LST; ET; DTC model; PT-JPL

资金

  1. National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) Strategic University Research Partnership (SURP) [1641697]
  2. NASA CMS [80NSSC21K1058]
  3. NASA [80NM0018D0004, 80NSSC20K1646, 80NSSC20K1263, 80NSSC21K0430]
  4. Department of Energy AmeriFlux Management Project [7074628]
  5. NSF Sevilleta LTER [NSF-DEB LTER 1440478]

向作者/读者索取更多资源

This study developed a framework for resolving the full diurnal cycle of evapotranspiration (ET) and land surface temperature (LST) using sporadic ECOSTRESS measurements. The framework was tested in two regions and successfully reproduced the spatial patterns of the native ECOSTRESS measurements. The study sets the stage for applying this framework to a broader range of climates, biomes, and landscapes.
Although numerous evapotranspiration (ET) estimates have been developed from remote sensing measurements, a diurnally resolved product with high spatial resolution (<100 m) is still lacking, which is critically needed for agricultural and ecological monitoring. The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) provides, for the first time, ET at 70 m resolution with diurnal samplings, enabling a step toward filling this data gap. This study developed the first framework to resolve the full diurnal cycle of ET and Land Surface Temperature (LST) from sporadic ECOSTRESS measurements. We first constructed 70 m diurnal LST utilizing a diurnal temperature cycle (DTC) model that fused ECOSTRESS and Geostationary Operational Environmental Satellite (GOES) LST. Next, we derived 70 m diurnal ET from the diurnally resolved LST, along with ancillary meteorological and reflectance data sets, using the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) algorithm. This framework was tested in two regions: A relatively homogeneous semiarid grassland landscape (centered at the US-Seg Ameriflux site) and a heterogeneous humid cropland landscape (centered at US-ARM). Our diurnally resolved LST and ET successfully reproduced the spatial patterns in the native ECOSTRESS measurements during overpasses for both landscapes (LST: r > 0.97, RMSE similar to 2 degrees C; ET: r > 0.99, and RMSE = 1-7 W m(-2)). The constructed time series also well captured the temporal variability of the in situ measurements (especially under clear-sky conditions) at both US-Seg and US-ARM, albeit performance varying with availability and quality of ECOSTRESS samples. This study sets the stage for testing and applying our framework to broader climates, biomes, and landscapes toward eventually generating diurnally resolved 70 m global operational LST/ET products to enhance ecological/agricultural applications.

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