The Oklahoma Mesonet: A Technical Overview

Brock, Fred V.; Crawford, Kenneth; Elliott, Ronald L.; Cuperus, G. W.; Stadler, Steven J.; Johnson, Howard L.; Eilts, Michael D.

doi:10.1175/1520-0426(1995)012<0005:tomato>2.0.co;2

Cited by 566 publications

(391 citation statements)

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“…Further study should be conducted at other sites to confirm these results. Future work should utilise a significantly larger sample size of sites that represent all five site categories (Brock et al 1995;Brotzge & Crawford 2000). The ultimate goal is to derive a technique that adequately and accurately considers and ingests the vegetation impact in the analysis of the surface temperature extrema.…”

Section: Discussionmentioning

confidence: 99%

Vegetation greenness impacts on maximum and minimum temperatures in northeast Colorado

Hanamean

Pielke

Castro

et al. 2003

Meteorological Applications

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Section: Discussionmentioning

confidence: 99%

Vegetation greenness impacts on maximum and minimum temperatures in northeast Colorado

Hanamean

Pielke

Castro

et al. 2003

Meteorological Applications

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“…At the same time, the low-orbiting-satellite-based GPS occultation data generally do not reach the surface and have poor horizontal resolution (Ware et al, 1996;Anthes et al, 2008). Mesoscale surface observational networks (e.g., Brock et al, 1995) are currently the best platform for near-surface moisture observations, but their spatial resolution may not be sufficient to resolve fine-scale structures important for convective initiation (Weckwerth et al, 2004). Therefore, additional highresolution moisture measurements within the BL are needed to fill the data gap, and such data have the potential to significantly improve convective initiation and quantitative precipitation forecasting.…”

Section: Introductionmentioning

confidence: 99%

Two-dimensional variational analysis of near-surface moisture from simulated radar refractivity-related phase change observations

et al. 2013

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Because they are most sensitive to atmospheric moisture content, radar refractivity observations can provide high-resolution information about the highly variable low-level moisture field. In this study, simulated radar refractivity-related phase-change data were created using a radar simulator from realistic highresolution model simulation data for a dryline case. These data were analyzed using the 2DVAR system developed specifically for the phase-change data.Two sets of experiments with the simulated observations were performed, one assuming a uniform target spacing of 250 m and one assuming nonuniform spacing between 250 m to 4 km. Several sources of observation error were considered, and their impacts were examined. They included errors due to ground target position uncertainty, typical random errors associated with radar measurements, and gross error due to phase wrapping. Without any additional information, the 2DVAR system was incapable of dealing with phase-wrapped data directly. When there was no phase wrapping in the data, the 2DVAR produced excellent analyses, even in the presence of both position uncertainty and random radar measurement errors. When a separate pre-processing step was applied to unwrap the phase-wrapped data, quality moisture analyses were again obtained, although the analyses were smoother due to the reduced effective resolution of the observations by interpolation and smoothing involved in the unwrapping procedure. The unwrapping procedure was effective even when significant differences existed between the analyzed state and the state at a reference time. The results affirm the promise of using radar refractivity phase-change measurements for near-surface moisture analysis.

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“…What has been missing to date is a long-term detailed experiment for a large area encapsulating a range of land cover, land use, and soil type conditions. Although monitoring programs such as the Oklahoma Mesonet [Brock et al, 1995] provide long-term observations of soil moisture, they do not provide the nested high spatial resolution soil moisture, streamflow, meteorological, and supporting data necessary to make significant advances in these important areas of science.…”

Section: Introductionmentioning

confidence: 99%

Goulburn River experimental catchment data set

Rüdiger

Hancock

Hemakumara

et al. 2007

Water Resources Research

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This paper describes the data set from the 6540‐km2 Goulburn River experimental catchment in New South Wales, Australia. Data have been archived from this experimental catchment since its inception in September 2002. Land use in the northern half of the catchment is predominantly cropping and grazing on basalt‐derived soils, with the south being cattle and sheep grazing on sandstone‐derived soils; only the floodplains are cleared of trees in the south. Monitoring sites are mainly concentrated in the nested Merriwa (651 km2) and Krui (562 km2) subcatchments in the northern half of this experimental catchment with a few monitoring sites located in the south. The data set comprises soil temperature and moisture profile measurements from 26 locations; meteorological data from two automated weather stations (data from a further three stations are available from other sources) including precipitation, atmospheric pressure, air temperature and relative humidity, wind speed and direction, soil heat flux, and up‐ and down‐welling short‐ and long‐wave radiation; streamflow observations at five nested locations (data from a further three locations are available from other sources); a total of three surface soil moisture maps across a 40 km × 50 km region in the north from ∼200 measurement locations during intensive field campaigns; and a high‐resolution digital elevation model (DEM) of a 175‐ha microcatchment in the Krui catchment. These data are available on the World Wide Web at http://www.sasmas.unimelb.edu.au.

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The Oklahoma Mesonet: A Technical Overview

Cited by 566 publications

References 0 publications

Vegetation greenness impacts on maximum and minimum temperatures in northeast Colorado

Vegetation greenness impacts on maximum and minimum temperatures in northeast Colorado

Two-dimensional variational analysis of near-surface moisture from simulated radar refractivity-related phase change observations

Goulburn River experimental catchment data set

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