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A global gridded dataset for cloud vertical structure from combined CloudSat and CALIPSO observations
Earth System Science Data ( IF 11.4 ) Pub Date : 2024-03-14 , DOI: 10.5194/essd-16-1301-2024
Leah Bertrand , Jennifer E. Kay , John Haynes , Gijs de Boer

Abstract. The vertical structure of clouds has a profound effect on the global energy budget, the global circulation, and the atmospheric hydrological cycle. The CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) missions have taken complementary, colocated observations of cloud vertical structure for over a decade. However, no globally gridded dataset is available to the public for the full length of this unique combined data record. Here we present the 3S-GEOPROF-COMB product (Bertrand et al. 2023, https://doi.org/10.5281/zenodo.8057791), a globally gridded (level 3S) community data product summarizing geometrical profiles (GEOPROF) of hydrometeor occurrence from combined (COMB) CloudSat and CALIPSO data. Our product is calculated from the latest release (R05) of per-orbit (level-2) combined cloud mask profiles. We process a set of cloud cover, vertical cloud fraction, and sampling variables at 2.5, 5, and 10° spatial resolutions and monthly and seasonal temporal resolutions. We address the 2011 reduction in CloudSat data collection with Daylight-Only Operations (DO-Op) mode by subsampling pre-2011 data to mimic DO-Op collection patterns, thereby allowing users to evaluate the impact of the reduced sampling on their analyses. We evaluate our data product against CloudSat-only and CALIPSO-only global-gridded data products as well as four comparable surface-based sites, underscoring the added value of the combined product. Interest in the product is anticipated for the study of cloud processes, cloud–climate interactions, and as a candidate baseline climate data record for comparison to follow-up satellite missions, among other uses.

中文翻译:

来自 CloudSat 和 CALIPSO 联合观测的云垂直结构的全球网格数据集

摘要。云的垂直结构对全球能量收支、全球环流和大气水文循环有着深远的影响。十多年来,CloudSat 和云气溶胶激光雷达和红外探路者卫星观测 (CALIPSO) 任务对云垂直结构进行了互补的共置观测。然而,公众无法获得此独特组合数据记录的完整长度的全局网格数据集。在这里,我们介绍 3S-GEOPROF-COMB 产品(Bertrand 等人,2023 年,https://doi.org/10.5281/zenodo.8057791),这是一个总结水凝物几何剖面 (GEOPROF) 的全球网格化(3S 级)社区数据产品组合 (COMB) CloudSat 和 CALIPSO 数据的发生。我们的产品是根据最新版本 (R05) 的每轨道(2 级)组合云掩模轮廓计算得出的。我们以 2.5、5 和 10° 空间分辨率以及每月和季节性时间分辨率处理一组云量、垂直云分数和采样变量。我们通过对 2011 年之前的数据进行子采样以模拟 DO-Op 收集模式,解决了采用仅日光操作 (DO-Op) 模式减少 2011 年 CloudSat 数据收集的问题,从而使用户能够评估减少采样对其分析的影响。我们根据仅 CloudSat 和仅 CALIPSO 的全球网格数据产品以及四个可比较的地面站点来评估我们的数据产品,强调了组合产品的附加值。预计该产品将用于研究云过程、云与气候相互作用,以及作为候选基线气候数据记录以与后续卫星任务进行比较等用途。
更新日期:2024-03-14
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