Please wait for the process to complete.
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|Resource type:||Composite Resource|
|Storage:||The size of this resource is 52.2 KB|
|Created:||Jan 15, 2021 at 5:50 p.m.|
|Last updated:|| Feb 11, 2022 at 2:38 a.m.
|Citation:||See how to cite this resource|
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Here is the link to the script path: https://code.earthengine.google.com/?scriptPath=users%2Figarousi%2Fppr2-modis%3AMODIS-monthly
Then, run the Jupyter Notebook (merge_downloaded_csv_files.ipynb) to merge the downloaded CSV files that are stored for example in a folder called output/from_GEE into one single CSV file which is merged.csv. The Jupyter Notebook then applies some preprocessing steps and the final output is NDSI_FSCA_MODIS_C6.csv.
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|This resource is referenced by||Garousi-Nejad, I. and Tarboton, D. (2022), "A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States", Hydrological Processes, https://doi.org/10.1002/hyp.14469|
|The content of this resource is derived from||Hall, D. K. and G. A. Riggs. 2016. MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid, Version 6. [NDSI_Snow_Cover]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/MODIS/MOD10A1.006, accessed through Google Earth Engine|
|Title||Owners||Sharing Status||My Permission|
|Data for a comparison of national water model retrospective analysis snow outputs at SNOTEL sites across the Western U.S.||Irene Garousi-Nejad · David Tarboton||Published||Open Access|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Utah Water Research Laboratory||Graduate Student Research Assistantship for I Garousi-Nejad|
|National Science Foundation||Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis||OAC-1664061|
|National Science Foundation||Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis||OAC-1664018|
|National Science Foundation||Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis||OAC-1664119|
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
|Mahyar Aboutalebi||Utah State University|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/