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Two-Dimensional Variational Analysis of Near-Surface Moisture from Simulated Radar Refractivity-Related Phase Change Observations

查看全文 作  者:Ken-ichi [1,2]SHIMOSE;Ming [1,3]XUE;Robert [3,4]D.PALMER;Jidong [1,5]GAO;Boon Leng [4]CHEONG;David [3,4]J.BODINE 高影响力作者 机构地区:[1]Center for Analysis and Prediction of Storms,University of Oklahoma,Norman OK,USA;[2]Department of Earth and Planetary Sciences,Kyushu University,Fukuoka,Japan;[3]School of Meteorology,University of Oklahoma,Norman OK,USA;[4]Atmospheric Radar Research Center,University of Oklahoma,Norman OK,USA;[5]National Severe Storms Laboratory,NOAA,Norman OK,USA高影响力机构 出  处:《Advances in Atmospheric Sciences》索引2013年第30卷第2期,共15页高影响力期刊 基  金:supported by the National Science Foundation (Grant No. AGS-0750790);supported by the NSF grants (Grant Nos. AGS-0802888,OCI-0905040,AGS-0941491,AGS-1046171,and AGS-1046081) 摘  要: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. 关 键 词:雷达模拟器 观测信息 水分含量 折射率 率相关 近地表 二维 高分辨率
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