Search

The Oklahoma City Micronet (OKCNET) is an operational surface observing network designed to improve atmospheric monitoring across the Oklahoma City, Oklahoma, metropolitan area. The 40 station network consists of 4 Oklahoma Mesonet stations and 36 micronet stations mounted on traffic signals at an average station spacing of approximately 3 km. Using several technical innovations as well as existing infrastructure in Oklahoma City, data are collected and quality assured in near real-time at an interval of 1 min for the traffic signal sites and 5 min for the Mesonet sites. Because OKCNET also spans a land use gradient from rural to urban, the spatial and temporal densities of OKCNET observations have shed new insights on atmospheric processes (e.g. the urban heat island, severe thunderstorm evolution) across the Oklahoma City metropolitan area. Copyright © 2010 Royal Meteorological Society [ABSTRACT FROM AUTHOR]

Soil moisture is an important component in many hydrologic and land–atmosphere interactions. Understanding the spatial and temporal nature of soil moisture on the mesoscale is vital to determine the influence that land surface processes have on the atmosphere. Recognizing the need for improved in situ soil moisture measurements, the Oklahoma Mesonet, an automated network of 116 remote meteorological stations across Oklahoma, installed Campbell Scientific 229-L devices to measure soil moisture conditions. Herein, background information on the soil moisture measurements, the technical design of the soil moisture network embedded within the Oklahoma Mesonet, and the quality assurance (QA) techniques applied to the observations are provided. This project also demonstrated the importance of operational QA regarding the data collected, whereby the percentage of observations that passed the QA procedures increased significantly once daily QA was applied. [ABSTRACT FROM AUTHOR]

Investigates how land–atmosphere interactions played an important role in modifying the local environment. Synoptic conditions; Role of evaporation and transpiration; Impact of moisture in the low-level atmosphere; Potential for severe weather.

The National Center for Atmospheric Research (NCAR) and the U.S. Army Test and Evaluation Command have developed a multiscale, rapid-cycling, real-time, four-dimensional data-assimilation and forecasting system that has been in operational use at five Army test ranges since 2001. This system was employed to provide operational modeling support for the Joint Urban 2003 (JU2003) Dispersion Experiment, conducted in Oklahoma City, Oklahoma, during July 2003. To better support this mission, modifications were made to the nonlocal boundary layer (BL) parameterization (known as the Medium Range Forecast scheme) of the fifth-generation Pennsylvania State University–NCAR Mesoscale Model, in order to improve BL forecasts. The NCEP–Oregon State University–Air Force–Hydrologic Research Laboratory land surface model was also improved to better represent urban forcing. Verification of the operational model runs and retrospectively simulated cases show 1) a significantly reduced low bias in the forecast surface wind speed and 2) more realistic daytime BL heights. During JU2003, the forecast urban heat island, urban dry bubble, and urban BL height agree reasonably well with observations and conceptual models. An analysis of three-dimensional atmospheric structures, based on model analyses for eight clear-sky days during the field program, reveals some interesting features of the Oklahoma City urban BL, including complex thermally induced circulations and associated convergence/divergence zones, a nocturnal thermal shadow downwind of the urban area, and the reduction of low-level jet wind speeds by more vigorous nocturnal mixing over the city. [ABSTRACT FROM AUTHOR]