Merged and Gridded GPM and Atmospheric River Data Product

IF 2.9 3区地球科学 Q2 ASTRONOMY & ASTROPHYSICS

Earth and Space Science Pub Date : 2024-05-23 DOI:10.1029/2023EA003333

Marian E. Mateling, Claire Pettersen, Kyle Mattingly, Sarah Ringerud

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引用次数: 0

Abstract

The Global Precipitation Measurement (GPM) Mission Core Observatory satellite launched in 2014 as a joint mission between National Aeronautics and Space Administration (NASA) and JAXA. Global Precipitation Measurement (GPM) has, since that time, provided continuous, valuable dual-frequency radar and passive microwave radiometer observations. Here, we introduce a gridded data set of collocated GPM Core Observatory observational products merged with a reanalysis-derived Atmospheric river (AR) data set in the North Atlantic and North Pacific sectors. The three data sets that are merged and gridded are: (a) the NASA Goddard Profiling (GPROF) precipitation product, which uses GPM passive microwave radiometer observations to derive surface precipitation rates, (b) a water vapor data product derived from the GPM Core Observatory radiometer, provided by Remote Sensing Systems (RSS), and (c) the Mattingly et al. (2018, https://doi.org/10.1029/2018jd028714) AR data set that is specifically tuned to the high-latitude regions. This novel merged data set spans from May 2014 to December 2022 with plans to update annually through 2026 at minimum. This gridded product combines RSS passive water vapor and precipitation estimates with coincident AR detection. This data product benefits the scientific community by providing (a) user-friendly gridded satellite data compared to standard satellite data sets, while maintaining high temporal resolution, and (b) coincident satellite observations to assess the link between ARs and precipitation.

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合并和网格化的 GPM 和大气河流数据产品

全球降水测量（GPM）任务核心观测站卫星于2014年发射，是美国国家航空航天局（NASA）和日本宇宙航空研究开发机构的一项联合任务。自此，全球降水测量（GPM）提供了连续、宝贵的双频雷达和被动微波辐射计观测数据。在此，我们将介绍一个网格数据集，该数据集由 GPM 核心观测站的观测产品与北大西洋和北太平洋扇区的大气河（AR）再分析数据集合并而成。合并和网格化的三个数据集是(a) NASA 戈达德剖面（GPROF）降水产品，该产品利用 GPM 被动微波辐射计观测数据得出地表降水率；(b) 由遥感系统（RSS）提供的源自 GPM 核心观测站辐射计的水汽数据产品；(c) Mattingly 等人（2018 年，https://doi.org/10.1029/2018jd028714）的 AR 数据集，该数据集专门针对高纬度地区进行了调整。这个新颖的合并数据集的时间跨度为 2014 年 5 月至 2022 年 12 月，并计划每年至少更新一次，直至 2026 年。该网格产品结合了 RSS 被动水汽和降水估算值以及相吻合的 AR 探测。该数据产品有利于科学界：(a)与标准卫星数据集相比，提供方便用户的网格化卫星数据，同时保持高时间分辨率；(b)提供重合卫星观测数据，以评估AR与降水之间的联系。

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来源期刊

Earth and Space Science Earth and Planetary Sciences-General Earth and Planetary Sciences

CiteScore

5.50

自引率

3.20%

发文量

285

审稿时长

19 weeks

期刊介绍： Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.