Long-term daily dataset of surface sensible heat flux and latent heat release over the Tibetan Plateau based on routine meteorological observations

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. Duan, Senfeng Liu, Wenting Hu, Die Hu, Yuzhuo Peng
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引用次数: 10

Abstract

ABSTRACT As the main components of the atmospheric heat source/sink over the Tibetan Plateau (TP), up-to-date spatiotemporal fields of surface sensible heat flux and latent heat release by precipitation are vital for investigating the local land–atmosphere interaction and the effect of the thermal forcing of the TP on global weather and climate. This study recalculates the long-term daily dataset of surface sensible heat flux and latent heat release of condensation over the TP based on 293 routine meteorological observations, with the latest date being 31 December 2019. Most stations have adequate and valid records during the period 1981–2019, and the results for 1951–1980 are also calculated if the observations are available. Moreover, a brief evaluation of the climatology and long-term variation during 1981–2019 is conducted. By providing the most continuous and longest set of observational surface sensible heat flux and latent heat release of condensation data over the TP with a high degree of credibility, this new dataset will support research concerning the multi-timescale variation of diabatic heating/cooling over the TP and its remote influence. It is openly available on the LASG data-sharing platform (http://data.lasg.ac.cn/TPSHLH/).
基于常规气象观测的青藏高原地表感热通量和潜热释放长期日数据集
作为青藏高原大气热源/热汇的主要组成部分,地表感热通量和降水潜热释放的最新时空场对于研究青藏高原局地-大气相互作用以及青藏高原热强迫对全球天气和气候的影响至关重要。基于293次常规气象观测资料,重新计算了青藏高原地表感热通量和凝结潜热释放的长期日数据集,最晚日期为2019年12月31日。大多数台站在1981-2019年期间有充分和有效的记录,如果有观测资料,也计算了1951-1980年的结果。并对1981—2019年的气候和长期变化进行了简要评价。该数据集提供了最连续、最长的青藏高原地表感热通量和凝结潜热释放数据集,具有较高的可信度,将为青藏高原非绝热/冷却的多时间尺度变化及其远程影响研究提供支持。它在LASG数据共享平台(http://data.lasg.ac.cn/TPSHLH/)上公开提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
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