Development of a 30-Year Soil Moisture Climatology for Situational Awareness and Public Health Applications
To construct the soil moisture climatology, LIS-Noah is configured for a 32+ year run, with the first two years used as a model spin-up. The climatology run is driven by NLDAS-2 forcing data and uses a new 30-arcsecond green vegetation fraction (GVF) monthly climatology found in version 3.5+ of the community Weather Research and Forecasting model, derived from fraction of photosynthetically active radiation data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. The LIS-Noah spin-up occurs from 1979-1980, with the soil moisture climatology spanning 1 January 1981 to 31 December 2010, consistent with the official National Climate Data Center's most recent 30-year climate averages. LIS-Noah fields are output once daily at 0000 UTC on the CONUS grid, and soil moisture histogram climatologies are then developed on a county-by-county basis for each day of the year. The LIS-Noah simulation is extended to near real-time using the same NLDAS-2 forcing, but with real-time MODIS GVF data. The daily soil moisture histograms will then be used to identify the real-time soil moisture percentiles at each grid point according to the county in which the grid point resides. Output will be compared to similar NLDAS-2 products at http://www.emc.ncep.noaa.gov/mmb/nldas/drought/, with soil moisture validated against in situ observations as found in Texas A&M's North American Soil Moisture Database. This presentation will highlight preliminary results from the 30-year LIS-Noah soil moisture climatology and present proposed applications at partnering NOAA/NWS forecast offices and in the CDC Public Health Tracking Network.
Supplementary URL: http://weather.msfc.nasa.gov/sport/