Precipitation and cloud properties derived from synergetic use of the TRMM sensors
Precipitation and cloud properties derived from synergetic use of the TRMM sensors
复制标题
DOI：
10.1117/12.693826
复制
发表时间：
2006-12
期刊：
影响因子：
--
通讯作者：
Takahisa Kobayashi;A. Adachi
中科院分区：
文献类型：
--
作者：
Takahisa Kobayashi;A. Adachi
众所周知，云反馈是气候系统中最大的不确定性来源。云辐射强迫受云微物理特性的影响很大，而云微物理特性又与降水和气溶胶浓度密切相关。我们测量云和降水的雷达和被动太阳/红外辐射计机载热带降雨测量使命（TRMM）卫星的组合使用，并研究如何降水特性与云的属性。雷达是用来测量降水量的。云的光学厚度和有效半径由辐射计测量的两个波长的辐射估计。结果表明，云滴的大小与降水量密切相关：非降水云的云滴大小小于降水云和降水共存的降水云的云滴大小。大水滴的云几乎是降水。降水对云微物理的影响过程，使得云的辐射特性在全球变暖预测中起着重要的作用。
Cloud feedbacks are known to be the largest sources of uncertainty in the climate system. The cloud radiative forcing is strongly affected by microphysical properties of clouds which are closely related to precipitation as well as aerosol concentrations. We measured clouds and precipitation by a combined use of a radar and a passive solar/infrared radiometer onboard the Tropical Rainfall Measuring Mission (TRMM) satellite and examined how precipitation characteristics are linked to cloud properties. The radar is used to measure precipitation. Optical thickness and effective radius of clouds are estimated from radiances at two wavelengths measured with the radiometer. It is found that the sizes of cloud drops are closely related to precipitation: Cloud drop sizes are smaller for non-precipitating clouds than those for precipitating clouds in which clouds and precipitation coexist. Clouds with large drop size are almost precipitating. The processes that precipitation modifies cloud microphysics, therefore, the radiative properties are critical to evaluate the cloud feedbacks in the global warming prediction.