2016
DOI: 10.1175/jhm-d-15-0177.1
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A Landsat-Era Sierra Nevada Snow Reanalysis (1985–2015)

Abstract: A newly developed state-of-the-art snow water equivalent (SWE) reanalysis dataset over the Sierra Nevada (United States) based on the assimilation of remotely sensed fractional snow-covered area data over the Landsat 5–8 record (1985–2015) is presented. The method (fully Bayesian), resolution (daily and 90 m), temporal extent (31 years), and accuracy provide a unique dataset for investigating snow processes. The verified dataset (based on a comparison with over 9000 station years of in situ data) exhibited mea… Show more

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Cited by 161 publications
(243 citation statements)
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“…The PBS was found to outperform the ES, considerably reducing the RMSE. Based on this work, Margulis et al (2016) adopted the PBS framework to conduct a 30-year reanalysis of SWE over the Sierra Nevada (USA) using Landsat fSCA retrievals. Cortés et al (2016) applied the same PBS framework to construct a 30-year reanalysis of SWE over six instrumented basins in the Andes.…”
Section: Introductionmentioning
confidence: 99%
“…The PBS was found to outperform the ES, considerably reducing the RMSE. Based on this work, Margulis et al (2016) adopted the PBS framework to conduct a 30-year reanalysis of SWE over the Sierra Nevada (USA) using Landsat fSCA retrievals. Cortés et al (2016) applied the same PBS framework to construct a 30-year reanalysis of SWE over six instrumented basins in the Andes.…”
Section: Introductionmentioning
confidence: 99%
“…The modeling setup used in this study is the same as described in Margulis et al (2016). The Simplified Simple Biosphere (SSiB) model developed by Xue et al (1991), coupled with a three-layer snow and atmosphere soil transfer (SAST) model (Sun and Xue, 2001;Xue et al, 2003) was used as the land surface model (LSM) to represent the interactions between the atmosphere, vegetation, and snow.…”
Section: Model Framework and Forcingsmentioning
confidence: 99%
“…NLDAS-2 variables include precipitation, incident shortwave radiation, near-surface air temperature, humidity, wind speed, and pressure at a coarse spatial resolution of 1/8 • . The NLDAS-2 forcings were downscaled to the model resolution using topographic correction methods that have been previously applied over the Sierra Nevada and the Andes (Girotto et al, 2014;Girotto et al, 2014a;Margulis et al, 2016;Cortés et al, 2016) as well as the upper Yampa in Baldo and . Lapse rates of 6.5 and 4.1 • K km −1 were used for air temperature and dew-point temperature respectively.…”
Section: Model Framework and Forcingsmentioning
confidence: 99%
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