Comparison of Meteorological Measurements from Sparse and Dense Surface Observation Networks in the U.S. Southern Great Plains

JW Monroe ; MT Ritsche ; M Franklin ; KE Kehoe

Argonne National Laboratory

关键词: EARTH ATMOSPHERE;    DATA;    DATA ANALYSIS;    DISTANCE;    ENVIRONMENT;    HUMIDITY;    KANSAS;    MEASURING INSTRUMENTS;    METEOROLOGY;    OKLAHOMA;    RADIATION MONITORING;    SURFACES;    TEMPERATURE MEASUREMENT;    USA;   

DOI  :  10.2172/948525
RP-ID  :  DOE/SC-ARM/TR-084
PID  :  OSTI ID: 948525
Others  :  TRN: US201002%%1462

学科分类：环境科学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The primary objective of this study was to analyze the spatial variability of temperature and relative humidity across Kansas (KS) and Oklahoma (OK) for sparse and dense networks by comparing data from (1) the Surface Meteorological Observing System (SMOS) installations at the Atmospheric Radiation Measurement (ARM; Peppler et al. 2008) Program’s Southern Great Plains site and (2) the Oklahoma Mesonet (OKM; McPherson et al. 2007). Given the wealth of observations available from these networks, this study provided the unique opportunity to determine, within a quantifiable statistical limit, an optimal distance between stations deployed for observation of the climatological values of temperature and relative humidity. Average distances between a given station and its closest neighboring station for the ARM SMOS (~ 70 km) and the OKM (~ 30 km; Brotzge and Richardson 2003) networks provided an excellent framework for comparisons of sparse and dense observations (Figure 1). This study further lays groundwork for a future investigation to determine the necessary spacing between observations for initialization of gridded numerical models.