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Incorporation of Parameter Uncertainty into Spatial Interpolation Using Bayesian Trans-Gaussian Kriging

Advances in Atmospheric Sciences 2015年第3期32卷 413-423页

作者： Joon Jin SONG soohyun kwon Gyu Won LEE Department of Statistical Science Baylor UniversityUSA Department of Astronomy and Atmospheric Sciences Research and Training Team for Future Creative Astrophysicists and Cosmologist Kyungpook National UniversityRepublic of Korea

Quantitative precipitation estimation （QPE） plays an important role in meteorological and hydrological ***-based telemetered rain gauges are widely used to collect precipitation *** interpolation methods are commonly employed to estimate precipitation fields covering non-observed *** is a simple and popular geostatistical interpolation method,but it has two known problems：uncertainty underestimation and violation of *** paper tackles these problems and seeks an optimal spatial interpolation for QPE in order to enhance spatial interpolation through appropriately assessing prediction uncertainty and fulfilling the required *** this end,several methods are tested：transformation,detrending,multiple spatial correlation functions,and Bayesian *** particular,we focus on a short-term and time-specific rather than a long-term and event-specific *** paper analyzes a stratiform rain event with an embedded convection linked to the passing monsoon front on the 23 August *** from a total of 100 automatic weather stations are used,and the rainfall intensities are calculated from the difference of 15 minute accumulated rainfall observed every 1 *** one-hour average rainfall intensity is then calculated to minimize the measurement random ***-validation is carried out for evaluating the interpolation methods at regional and local *** a result,transformation is found to play an important role in improving spatial interpolation and uncertainty assessment,and Bayesian methods generally outperform traditional ones in terms of the criteria.

关键词： precipitation kriging transformation Bayesian kriging detrend Korea

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Classification of Precipitation Types Using Fall Velocity–Diameter Relationships from 2D-Video Distrometer Measurements

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Advances in Atmospheric Sciences 2015年第9期32卷 1277-1290页

作者： Jeong-Eun LEE Sung-Hwa JUNG Hong-Mok PARK soohyun kwon Pay-Liam LIN Gyu Won LEE Department of Astronomy and Atmospheric Sciences Research and Training Team for Future Creative Astrophysicists and CosmologistsKyungpook National University Center for Atmospheric Remote Sensing Kyungpook National University Departmentof Atmospheric Sciences NCUTaipei

Fall velocity–diameter relationships for four different snowflake types（dendrite,plate,needle,and graupel） were investigated in northeastern South Korea,and a new algorithm for classifying hydrometeors is proposed for distrometric measurements based on the new *** ice crystals（approximately 40 000 particles） were measured with a two-dimensional video disdrometer（2DVD） during a winter experiment from 15 January to 9 April *** fall velocity–diameter relationships were derived for the four types of snowflakes based on manual classification by experts using snow photos and 2DVD measurements：the coefficients（exponents） for different snowflake types were 0.82（0.24） for dendrite,0.74（0.35） for plate,1.03（0.71） for needle,and 1.30（0.94） for graupel,*** new relationships established in the present study（PS） were compared with those from two previous *** types were classified with the derived fall velocity–diameter relationships,and the classification algorithm was evaluated using 3 × 3 contingency tables for one rain–snow transition event and three snowfall *** algorithm showed good performance for the transition event：the critical success indices（CSIs） were 0.89,0.61 and 0.71 for snow,wet-snow and rain,*** snow events,the algorithm performance for dendrite and plate（CSIs = 1.0 and 1.0,respectively） was better than for needle and graupel（CSIs = 0.67 and 0.50,respectively）.

关键词： snowflake types wet snow fall velocity–diameter hydrometeor type classification 2DVD

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