Data and code in support of "Tailoring WRF and Noah-MP to improve process representation of Sierra Nevada runoff: Diagnostic evaluation and applications"

• Main Authors: Holtzman, Nataniel, Pavelsky, Tamlin, Cohen, Jonathan, Wrzesien, Melissa, Herman, Jonathan
• Format: Text
• Language: English
• Published: Zenodo 2019
• Subjects: Orca
• Online Access: https://dx.doi.org/10.5281/zenodo.3344790; https://zenodo.org/record/3344790

This set of files contains data and code used in the article "Tailoring WRF and Noah-MP to improve process representation of Sierra Nevada runoff: Diagnostic evaluation and applications" which will was submitted to the Journal of Advances in Modeling Earth Systems in July 2019. nointerpfnf2.csv and cosumnes_michiganmar.txt contain daily Full Natural Flow into several reservoirs. neginterpfnf2.csv contains a version of that data where negative values were skipped and interpolated through. runtab07_17.csv contains modeled daily runoff into the same set of reservoirs produced with the modified WRF/Noah-MP system described in the paper (without the "aquifer correction"). Each row represents one day starting October 10, 2006. dailyEQtab_p3 contains modeled daily runoff with the simple aquifer model integrated in the Noah-MP code. runtabDef.csv contains modeled daily runoff from the default (unmodified) version of WRF/Noah-MP. orca-inputs-new.csv contains runoff and other WRF outputs used as inputs in the ORCA water system model. make_all_plots_1.R contains code to make plots 3 through 6 in the paper, as well as most of the tables in the paper. noah_aggregate_runoff_2.R contains code to make plot 2 in the paper. sample_makegrid.R and getbasin_for10year.py contain code to aggregate the gridded WRF outputs into reservoir watersheds. app.R contains code for a Shiny webapp for interactive visualization of the data. : Funded by NSF grant CNS-1639268