large scale snow water equivalent status monitoring: comparison of different snow water products in the upper colorado basin
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2013
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Abstract
We illustrate the ability to monitor the status of snow water content over
large areas by using a spatially distributed snow accumulation and ablation
model that uses data from a weather forecast model in the upper Colorado
Basin. The model was forced with precipitation fields from the National
Weather Service (NWS) Multi-sensor Precipitation Estimator (MPE) and the
Tropical Rainfall Measuring Mission (TRMM) data-sets; remaining
meteorological model input data were from NOAA's Global Forecast System
(GFS) model output fields. The simulated snow water equivalent (SWE) was
compared to SWEs from the Snow Data Assimilation System (SNODAS) and
SNOwpack TELemetry system (SNOTEL) over a region of the western US
that covers parts of the upper Colorado Basin. We also compared the
SWE product estimated from the special sensor microwave imager (SSM/I) and
scanning multichannel microwave radiometer (SMMR) to the SNODAS and SNOTEL
SWE data-sets. Agreement between the spatial distributions of the simulated
SWE with MPE data was high with both SNODAS and SNOTEL.
Model-simulated SWE with TRMM precipitation and SWE estimated from the
passive microwave imagery were not significantly correlated spatially with
either SNODAS or the SNOTEL SWE. Average basin-wide SWE simulated with the
MPE and the TRMM data were highly correlated with both SNODAS (r = 0.94
and r = 0.64; d.f. = 14 – d.f. = degrees of freedom) and SNOTEL (r = 0.93 and r = 0.68;
d.f. = 14). The SWE estimated from the passive microwave imagery was significantly
correlated with the SNODAS SWE (r = 0.55, d.f. = 9, p = 0.05) but was
not significantly correlated with the SNOTEL-reported SWE values (r = 0.45,
d.f. = 9, p = 0.05).The results indicate the applicability of the
snow energy balance model for monitoring snow water content at regional
scales when coupled with meteorological data of acceptable quality. The two
snow water contents from the microwave imagery (SMMR and SSM/I) and the Utah
Energy Balance forced with the TRMM precipitation data were found to be
unreliable sources for mapping SWE in the study area; both data sets lacked
discernible variability of snow water content between sites as seen in the
SNOTEL and SNODAS SWE data. This study will contribute to better
understanding the adequacy of data from weather forecast models, TRMM, and
microwave imagery for monitoring status of the snow water content.
| Reference Key |
artan2013hydrologylarge
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|---|---|
| Authors | ;G. A. Artan;J. P. Verdin;R. Lietzow |
| Journal | materials research bulletin |
| Year | 2013 |
| DOI |
10.5194/hess-17-5127-2013
|
| URL | |
| Keywords |
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