Quantifying the uncertainty in passive microwave snow water equivalent observations
نویسندگان
چکیده
Code 974, Hydrological Sciences Branch, Laboratory for Hydrospheric Processes, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA Goddard Earth Sciences and Technology Center, University of Maryland Baltimore County, Baltimore, MD 21250, USA Department of Civil and Environmental Engineering, University of Melbourne, Parkville, Victoria, 3010 Australia Science Applications International Corporation, 4600 Powder Mill Road, Beltsville, MD 20705, USA
منابع مشابه
Identifying and Mapping Systematic Errors in Passive Microwave Snow Water Equivalent Observations
Understanding remote sensing retrieval errors is important for correct interpretation of observations, and successful assimilation of observations into numerical models. Passive microwave sensors onboard satellites can provide global snow water equivalent (SWE) observations day or night and under cloudy conditions. However, there are errors associated with the passive microwave measurements, wh...
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Estimating the spatial distribution of snow water equivalent (SWE) in mountainous terrain is currently the most important unsolved problem in snow hydrology. Several methods can estimate the amount of snow throughout a mountain range: (1) Spatial interpolation from surface sensors constrained by remotely sensed snow extent provides a consistent answer, with uncertainty related to extrapolation ...
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[1] A season-long, multiscale, multifrequency radiometric data assimilation experiment is performed to test the feasibility of snow water equivalent (SWE) estimation. Synthetic passive microwave (PM) observations at Advanced Microwave Scanning Radiometer-Earth Observing System frequencies and 25 km resolution and synthetic near infrared (NIR) narrowband albedo observations corresponding to Mode...
متن کاملMapping random and systematic errors of satellite-derived snow water equivalent observations in Eurasia
Passive microwave sensors onboard satellites can provide global snow water equivalent (SWE) observations day or night, even under cloudy conditions. However, there are both systematic (bias) and random errors associated with the passive microwave measurements. While these errors are well known, they have thus far not been adequately quantified. In this study, unbiased SWE maps, random error map...
متن کاملPUBLISHED BY THE AMERICAN GEOPHYSICAL UNION Coupling the snow thermodynamic model SNOWPACK with the microwave emission model of layered snowpacks for subarctic and arctic snow water equivalent retrievals
[1] Satellite-passive microwave remote sensing has been extensively used to estimate snow water equivalent (SWE) in northern regions. Although passive microwave sensors operate independent of solar illumination and the lower frequencies are independent of atmospheric conditions, the coarse spatial resolution introduces uncertainties to SWE retrievals due to the surface heterogeneity within indi...
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