Global Distribution of Snow Precipitation Features and Their Properties from 3 Years of GPM Observations
Global Distribution of Snow Precipitation Features and Their Properties from 3 Years of GPM Observations
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3年GPM观测的全球降雪特征分布及其特性
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
M. Kulie
中科院分区：
文献类型：
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作者：
A. Adhikari;Chuntao Liu;M. Kulie
利用3年全球降水使命（GPM）Ku波段降水雷达（KuPR）数据集，通过对非零固体降水的连续区域进行分组来定义雪特征。根据ERA-Interim再分析数据计算的近地表湿球温度用于验证SF低于1°C，以忽略在到达地表之前融化的降雪。总结了SFs的性质，以了解雪系统的全球分布和特征。分别分析了北方和南半球陆地和海洋上SFs的季节和日变化及其特征，并将3年的KuPR像元数据与4年的CloudSat云廓线（CPR）观测数据进行了比较，以量化GPM KuPR遗漏的雪量和CloudSat云廓线（CPR）低估的雪量。与CPR和KuPR估计值相比，CPR对大雪事件期间降雪量的总体低估率不到3%。KuPR低估了约52%的弱...
AbstractUsing a 3-yr Global Precipitation Mission (GPM) Ku-band Precipitation Radar (KuPR) dataset, snow features (SFs) are defined by grouping the contiguous area of nonzero solid precipitation. The near-surface wet bulb temperatures calculated from ERA-Interim reanalysis data are used to verify that SFs are colder than 1°C to omit snowfall that melts before reaching the surface. The properties of SFs are summarized to understand the global distribution and characteristics of snow systems. The seasonal and diurnal variations of SFs and their properties are analyzed over Northern and Southern Hemispheric land and ocean separately.To quantify the amount of snow missed by the GPM KuPR and the amount of snow underestimated by the CloudSat Cloud Profiling (CPR), 3-yr KuPR pixel-level data are compared with 4-yr CloudSat CPR observations. The overall underestimation of snowfall during heavy snow events by CPR is less than 3% compared to the combined CPR and KuPR estimates. KuPR underestimates about 52% of weak...
地面无源微波辐射计测量中的雪散射信号
DOI：
10.1029/2010jd013856
发表时间：
2010
期刊：
影响因子：
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作者：
Kneifel;U. Löhnert;A. Battaglia;S. Crewell;D. Siebler
通讯作者：
D. Siebler