nldas.april: NLDAS April Soil Moisture Data
In akeyel/wnvdata: West Nile Virus Public Data Sets

Description Usage Format Details Source

Soil moisture data were downloaded from NLDAS NOAH and read into R. This uses the SOILM variable, and only the average (corresponding to 100 cm value) Only data from the county centroid were used. However this may not be representative of the soil moisture in each county, and a county average may perform better (empirically there was no advantage to using a county average over a county centroid in Keyel et al. 2019)

1	nldas.april

An object of class data.frame with 68376 rows and 6 columns.

I went to https://disc.gsfc.nasa.gov/ and searched for NLDAS This led me to a page with a list of NLDAS datasets here: https://disc.gsfc.nasa.gov/datasets?keywords=NLDAS&page=1 I selected the NLDAS NOAH monthly data set (NOTE that other options exist and have been used in other studies) https://disc.gsfc.nasa.gov/datasets/NLDAS_NOAH0125_M_002/summary?keywords=NLDAS I selected Subset / Get Data Selected the SOILM variable (Soil moisture content (kg/m^2)) I only downloaded data from 2015 - 2020, as I had already downloaded NLDAS NOAH data from Park Williams' website. Data were downloaded in netcdf format. I clicked Get data, had 64 links. Data were downloaded with wget.exe using the batch file NLDAS_wget_2015_2020.bat and the link text file subset_NLDAS_NOAH0125_M_002_20200422_155125*.txt. NOTE that in the .bat file you must replace "USERNAME" with your username and "REDACTED" with your password, and change the extension from .txt to .bat. There were two text files, because not all files processed the first time through for unknown reasons. Data from April 2020 were downloaded in a similar manner to the above, except without wget, as there was only one file to download and process. See nldas.april.R for remaining processing steps.

https://disc.gsfc.nasa.gov/

akeyel/wnvdata documentation built on Sept. 24, 2020, 3 a.m.