my time series
|Resource type:||HIS Referenced Time Series|
|Created:||June 24, 2016, 7 p.m.|
|Last updated:||July 7, 2016, 3:30 p.m. by Dan Ames|
This is data from the Provo River, 2010 - 2016
How to cite
Ames, D. (2016). my time series, HydroShare, http://www.hydroshare.org/resource/ab633b441a28429dad06eed87be5d14b
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate Units:||WGS 84 EPSG:4326|
The people or organizations that created the intellectual content of the resource.
|Dan Ames||Brigham Young University|
Hunters Run at Lancaster OH
Snow water equivalent
The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) daily passive microwave snow water equivalent (SWE) datasets are made available from the National Snow and Ice Data Center (NSIDC). SWE is calculated using the brightness temperature observations from the AMSR-E instrument aboard NASA's Aqua satellite. The brightness temperature observations used to calculate SWE are made at frequencies of 18.7 and 36.5 GHz and are collected twice daily, once during the morning hours and once during the afternoon. The temperature brightness data is processed at NSIDC and projected on a 25 km EASE grid. SWE is calculated from only temperature brightness data collected during the morning to reduce the potential effects of wet snow in the afternoons.The data flags incorporated within this data set represent the percentage of missing data for a given basin. Occasionally the satellite swath does not completely cover the entire region of interest and misses some portion of the watershed. These missing values are represented in the missing data column. This column represents the total percentage of the missing pixels within the watershed. For example: missing data indicated as 1 represents 100% of pixels within the watershed are missing and the corresponding average SWE value is unknown. Missing data values of 75% or more are flagged as being potentially misleading.
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Quality Controlled Data
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