Land surface and subsurface states (e.g., soil moisture) are critical for analyses of land-atmospheric interactions in climate studies. It is expected that the variation in soil moisture across the Southern Great Plains (SGP) domain will impact these interactions. With the recent emphasis on land-atmospheric interactions in the context of the Next-Generation ARM Facility, requests for land surface/subsurface information including its spatial variability from the Atmospheric Systems Research (ASR) community have greatly increased. A joint project between Oklahoma State University and the University of Oklahoma created over 100 surface mesonet stations in Oklahoma in the early 1990s, hereafter referred to as the Oklahoma Mesonet (OKM). The dense surface network of OKM provides a good representation of land surface/subsurface conditions over the region. However, the OKM product alone does not provide the information necessary to calculate soil moisture across the network. Recently they have developed and published a soil hydraulic parameter database (Meso-Soil Database) with extensive in situ validation. In order to satisfy the ASR soil moisture needs on a meso-scale level at the SGP site, the External Data Center (XDC) has created a soil moisture value-added product (VAP) from the current 30-minute-averaged product from the OKM network of monitoring stations, using parameters from the Meso-Soil Database and the equations described in Illstons 2008 paper.
okmsoil: Oklahoma Mesonet Soil Moisture Product Type: Evaluation VAP
Data were developed for analysis of land-atmospheric interactions in climate studies.
|Developed By||Laurie Gregory|
|Content time range||1 October 2011 - 5 July 2016|
|Attribute accuracy||No formal attribute accuracy tests were conducted|
|Positional accuracy||No formal positional accuracy tests were conducted|
|Data Consistency and Completeness||Data set is considered complete for the information presented, as described in the abstract.Users are advised to read the rest of the metadata record carefully for addtional details.|
|Access Restriction||As per agreement with Oklahoma Mesonet, data are restricted. The requirement is that data may be used as long as the research furthers the goals of the ARM Facility.|
|Use Restriction||As per agreement with Oklahoma Mesonet, data are restricted. The requirement is that data may be used as long as the research furthers the goals of the ARM Facility.|
|File naming convention||Using ARM file naming conventions: e.g. sgpokmsoilX1.c1|
Illston, R, J Basara, D Fisher, R Elliott, C Fiebrich, K Crawford, K Humes, and E Hunt. 2008. "Mesoscale monitoring of soil moisture across a statewide network." Journal of Atmospheric and Oceanic Technology 25: 167-182, doi:10.1175/2007JTECHA993.1.
Schaap, MG, FJ Lein, and MT van Genuchten. 2001. "ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions." Journal of Hydrology 251: 163-176, doi:10.1016/S0022-1694(01)00466-8.
Scott, B, T Ochsner, B Illston, C Fiebrich, J Basara, and A Sutherland. 2013. "New soil property database improves Oklahoma Mesonet soil moisture estimates." Journal of Atmospheric and Oceanic Technology 00: 1-11, doi:10.1175/JETCH-D-13-00084.1.
Van Genuchten, MT. 1980. "A closed-form equation for predicting the hydraulic conductivity of unsaturated soils." Soil Science Society of America Journal 44(5):892-898, doi:10.2136/sssaj1980.03615995004400050002x.