Calculating the Climatology and Anomalies of Surface Cloud Radiative Effect Using Cloud Property Histograms and Cloud Radiative Kernels
Calculating the Climatology and Anomalies of Surface Cloud Radiative Effect Using Cloud Property Histograms and Cloud Radiative Kernels
复制标题
利用云特性直方图和云辐射核计算地表云辐射效应的气候学和异常
DOI：
10.1007/s00376-021-1166-z
复制
发表时间：
2022-01
影响因子：
5.8
通讯作者：
Quan Wang
中科院分区：
文献类型：
--
作者：
Chen Zhou;Yincheng Liu;Quan Wang
用辐射传输模式建立的云辐射核(CRK)已被广泛用于分析云对大气顶(TOA)通量的辐射效应，并有望用于地表辐射通量的分析，从而确定区域地表温度的变化和变率。在本研究中，使用快速辐射传输模型(RRTM)建立了地表和TOA的CRK。地面长波云辐射效应(CRE)主要由云底属性驱动，TOA CRE主要由云顶属性决定。因此，标准版本的地面CRK是纬度、经度、月、云光学厚度(τ)和云基础气压(CBP)的函数，TOACRK是纬度、经度、月、τ和云顶气压(CTP)的函数。考虑到目前气候模式所提供的云特征直方图都是CTP的函数，而不是CBP的函数，利用配置的云卫星和τ观测得到的CTP、CBP和τ之间的统计关系，将CBP-τ直方图上的地面CRK转换为CTP-MODIS场。对于气候模式输出和卫星观测，由地面CRKs和云特性直方图计算的地面CRE和云辐射异常的气候学与由地面辐射通量计算的结果具有很好的相关性。由表面CRKS和MODIS云特性直方图再现的云引起的表面辐射异常不受云和地球辐射能量系统(CERES)表面辐射产品中出现的虚假趋势的影响。
AbstractCloud radiative kernels (CRK) built with radiative transfer models have been widely used to analyze the cloud radiative effect on top of atmosphere (TOA) fluxes, and it is expected that the CRKs would also be useful in the analyses of surface radiative fluxes, which determines the regional surface temperature change and variability. In this study, CRKs at the surface and TOA were built using the Rapid Radiative Transfer Model (RRTM). Longwave cloud radiative effect (CRE) at the surface is primarily driven by cloud base properties, while TOA CRE is primarily decided by cloud top properties. For this reason, the standard version of surface CRK is a function of latitude, longitude, month, cloud optical thickness (τ) and cloud base pressure (CBP), and the TOA CRK is a function of latitude, longitude, month, τ and cloud top pressure (CTP). Considering that the cloud property histograms provided by climate models are functions of CTP instead of CBP at present, the surface CRKs on CBP-τ histograms were converted to CTP-τ fields using the statistical relationship between CTP, CBP and τ obtained from collocated CloudSat and MODIS observations. For both climate model outputs and satellites observations, the climatology of surface CRE and cloud-induced surface radiative anomalies calculated with the surface CRKs and cloud property histograms are well correlated with those calculated from surface radiative fluxes. The cloud-induced surface radiative anomalies reproduced by surface CRKs and MODIS cloud property histograms are not affected by spurious trends that appear in Clouds and the Earth’s Radiant Energy System (CERES) surface irradiances products.
登录
查看更多内容
影响因子：
30.7
作者：
Chen Zhou;Mark D. Zelinka;Andrew E. Dessler;Minghuai Wang
通讯作者：
Minghuai Wang
影响因子：
5.2
作者：
M. Zelinka;Chen Zhou;S. Klein
通讯作者：
M. Zelinka;Chen Zhou;S. Klein
影响因子：
5.2
作者：
Xianglei Huang;Xiuhong Chen;Q. Yue
通讯作者：
Xianglei Huang;Xiuhong Chen;Q. Yue
影响因子：
5.2
作者：
Zelinka, Mark D.;Myers, Timothy A.;Taylor, Karl E.
通讯作者：
Taylor, Karl E.
影响因子：
4.9
作者：
Q. Yue;B. Kahn;E. Fetzer;M. Schreier;S. Wong;Xiuhong Chen;Xianglei Huang
通讯作者：
Q. Yue;B. Kahn;E. Fetzer;M. Schreier;S. Wong;Xiuhong Chen;Xianglei Huang