Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties
Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties
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Cloud_cci 高级甚高分辨率辐射计子午线 (AVHRR-PM) 数据集版本 3：全球云和辐射特性的 35 年气候学
DOI：
10.5194/essd-12-41-2020
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发表时间：
2020
影响因子：
11.4
通讯作者：
G. Mcgarragh
中科院分区：
文献类型：
--
作者：
M. Stengel;Stefan Stapelberg;O. Sus;S. Finkensieper;Benjamin Würzler;Daniel Philipp;R. Hollmann;C. Poulsen;M. Christensen;G. Mcgarragh
抽象的。我们推出了 Cloud_cci 高级甚高分辨率辐射计午后 (AVHRR-PM) 数据集的第 3 版，其中包含涵盖 1982 年至 2016 年期间全球范围内的一套全面的云和辐射通量属性。这些属性是从美国国家海洋和大气管理局 (NOAA) 极地运行环境卫星 (POES) 任务的下午（午后 – PM）卫星记录的 AVHRR 测量值中检索的。与前体数据集版本 2 相比，版本 3 中的云属性质量有所提高，根据 A-Train 传感器的验证结果为云检测、云阶段和冰水路径提供了更好的全局质量分数。
此外，参数集还通过一系列宽带辐射通量特性进行了扩展。它们是通过将检索到的云特性与再分析和表面特性的热力学剖面相结合来计算的。通量属性包括表面（大气底部 - BOA）和大气顶部 (TOA) 的上升流和下降流以及短波和长波宽带通量。所有通量均在全天空和晴空条件下的 AVHRR 像素级确定，这将特别有助于在未来的研究中评估 BOA 和 TOA 的云辐射效应。 BOA 下降流通量与基线表面辐射网络 (BSRN) 的验证显示出非常好的一致性。与 NASA 的云和地球辐射能系统 (CERES) 产品的 BOA 和 TOA 所有通量的多年平均图的比较支持了这一点。 Cloud_cci AVHRR-PM 版本 3 (Cloud_cci AVHRR-PMv3) 数据集允许基于云属性、辐射通量属性和/或它们之间的链接构建的各种气候应用程序。对于所提供的 Cloud_cci AVHRR-PMv3 数据集，已发布数字对象标识符：https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V003（Stengel 等人，2019）。
Abstract. We present version 3 of the Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset, which contains a comprehensive set of cloud and radiative flux properties on a global scale covering the period of 1982 to 2016. The properties were retrieved from AVHRR measurements recorded by the afternoon (post meridiem – PM) satellites of the National Oceanic and Atmospheric Administration (NOAA) Polar Operational Environmental Satellite (POES) missions. The cloud properties in version 3 are of improved quality compared with the precursor dataset version 2, providing better global quality scores for cloud detection, cloud phase and ice water path based on validation results against A-Train sensors.
Furthermore, the parameter set was extended by a suite of broadband radiative flux properties. They were calculated by combining the retrieved cloud properties with thermodynamic profiles from reanalysis and surface properties. The flux properties comprise upwelling and downwelling and shortwave and longwave broadband fluxes at the surface (bottom of atmosphere – BOA) and top of atmosphere (TOA). All fluxes were determined at the AVHRR pixel level for all-sky and clear-sky conditions, which will particularly facilitate the assessment of the cloud radiative effect at the BOA and TOA in future studies. Validation of the BOA downwelling fluxes against the Baseline Surface Radiation Network (BSRN) shows a very good agreement. This is supported by comparisons of multi-annual mean maps with NASA's Clouds and the Earth's Radiant Energy System (CERES) products for all fluxes at the BOA and TOA. The Cloud_cci AVHRR-PM version 3 (Cloud_cci AVHRR-PMv3) dataset allows for a large variety of climate applications that build on cloud properties, radiative flux properties and/or the link between them. For the presented Cloud_cci AVHRR-PMv3 dataset a digital object identifier has been issued: https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V003 ( Stengel et al. , 2019 ) .
影响因子：
11.4
作者：
M. Stengel;Stefan Stapelberg;O. Sus;C. Schlundt;C. Poulsen;G. Thomas;M. Christensen;C. C. Henken-C.;R. Preusker;J. Fischer;A. Devasthale;U. Willén;K. Karlsson;G. Mcgarragh;S. Proud;A. Povey;R. Grainger;J. F. Meirink;A. Feofilov;R. Bennartz;J. Bojanowski;R. Hollmann
通讯作者：
M. Stengel;Stefan Stapelberg;O. Sus;C. Schlundt;C. Poulsen;G. Thomas;M. Christensen;C. C. Henken-C.;R. Preusker;J. Fischer;A. Devasthale;U. Willén;K. Karlsson;G. Mcgarragh;S. Proud;A. Povey;R. Grainger;J. F. Meirink;A. Feofilov;R. Bennartz;J. Bojanowski;R. Hollmann
影响因子：
4.4
作者：
Delanoe, Julien;Hogan, Robin J.
通讯作者：
Hogan, Robin J.
影响因子：
4.4
作者：
Delanoe, Julien;Hogan, Robin J.
通讯作者：
Hogan, Robin J.