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contributor authorIvanova, K.
contributor authorClothiaux, E. E.
contributor authorShirer, H. N.
contributor authorAckerman, T. P.
contributor authorLiljegren, J. C.
contributor authorAusloos, M.
date accessioned2017-06-09T14:08:18Z
date available2017-06-09T14:08:18Z
date copyright2002/01/01
date issued2002
identifier issn0894-8763
identifier otherams-13111.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148526
description abstractTime series both of microwave radiometer brightness temperature measurements at 23.8 and 31.4 GHz and of retrievals of water vapor and liquid water path from these brightness temperatures are evaluated using the detrended fluctuation analysis method. As quantified by the parameter α, this method (i) enables identification of the timescales over which noise dominates the time series and (ii) characterizes the temporal range of correlations in the time series. The more common spectral analysis method is also used to assess the data, and its results are compared with those from the detrended fluctuation analysis method. The assumption that measurements should have certain scaling properties allows the quality of the measurements to be characterized. The additional assumption that the scaling properties of the measurements of an atmospheric quantity are preserved in a useful retrieval provides a means for evaluating the retrieval itself. Applying these two assumptions to microwave radiometer measurements and retrievals demonstrates three points. First, the retrieved water vapor path during cloudy-sky periods can be dominated by noise on shorter-than-30-min timescales (α exponent = 0.1) and exhibits no scaling behavior at longer timescales. However, correlations in the brightness temperatures and liquid water path retrievals are found to be consistent with a power-law behavior for timescales up to 3 h with an α exponent equal to approximately 0.3, as in other geophysical phenomena. Second, clear-sky, moist atmospheres show the expected scaling for both measurements and retrievals of the water vapor path. Third, during clear-sky, dry atmospheric days, instrument noise from the 31.4-GHz channel compromises the quality of the water vapor path retrieval. The detrended fluctuation analysis method is thus proposed as means for assessing the quality of both the instrument data and the retrieved parameters obtained from these data.
publisherAmerican Meteorological Society
titleEvaluating the Quality of Ground-Based Microwave Radiometer Measurements and Retrievals Using Detrended Fluctuation and Spectral Analysis Methods
typeJournal Paper
journal volume41
journal issue1
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(2002)041<0056:ETQOGB>2.0.CO;2
journal fristpage56
journal lastpage68
treeJournal of Applied Meteorology:;2002:;volume( 041 ):;issue: 001
contenttypeFulltext


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