气候变化研究进展 ›› 2023, Vol. 19 ›› Issue (2): 173-190.doi: 10.12006/j.issn.1673-1719.2022.046

• 气候系统变化 • 上一篇    下一篇

基于多源数据的青藏高原雨季降水特征变化分析

栾澜, 翟盘茂()   

  1. 中国气象科学研究院,北京 100081
  • 收稿日期:2022-03-14 修回日期:2022-04-27 出版日期:2023-03-30 发布日期:2022-12-09
  • 通讯作者: 翟盘茂,男,研究员,pmzhai@cma.gov.cn
  • 作者简介:栾澜,女,硕士研究生
  • 基金资助:
    第二次青藏高原综合科学考察研究专题“高原气候资料稀缺地区气候变化及其影响与应对”(2019QZKK1001)

Changes in rainy season precipitation properties over the Qinghai-Tibet Plateau based on multi-source datasets

LUAN Lan, ZHAI Pan-Mao()   

  1. Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • Received:2022-03-14 Revised:2022-04-27 Online:2023-03-30 Published:2022-12-09

摘要:

高原地区地形复杂,气象测站的长期实地观测数据有限,且主要集中在东部区域。虽然近年来各种降水分析数据集得到了发展,但这些数据集的代表性及数据之间的一致性等问题制约了对高原地区的降水特征变化的认识。基于国家气象信息中心提供的青藏高原地区89个地面气象站降水数据及西部9个加密自动站数据,综合分析了多套逐日格点分析数据集(APHRO、CN05.1、CMFD、TRMM及GPCP)反映的雨季降水量、降水日数、极端降水量及极端降水日数与实际观测之间的一致性与差异,并深入研究了其区域变化特征。结果表明:(1)CN05.1及CMFD数据与高原实地观测的数据在区域平均降水量变化,降水量和极端降水量的空间分布格局及其变化趋势分布等方面均具有较好的一致性,但在降水日数与极端降水日数方面均存在一定差异;APHRO降水数据集揭示的高原雨季降水量和降水日数变化趋势偏小,极端降水量与日数的变化趋势与实地观测的趋势相反;GPCP与TRMM降水分析数据序列较短,反映的高原地区极端降水变化趋势与观测较一致,但高原总体降水量变化与观测结果反向,降水日数变化则被明显高估。(2)以实地降水观测为基准,考虑其他多套分析数据集的一致性特点,综合评估得到:对于高原整体,1961—2019年雨季降水量、极端降水量、极端降水日数总体上呈现增加的趋势;但对降水日数,由于实地观测得到的变化与其他分析数据结果之间差异较大,对其变化的认识仍存在不确定性。从不同气候分区上看,高原干旱区与半干旱区的降水量、降水日数、极端降水量、极端降水日数总体增加;对于半湿润区,极端降水日数微弱增加,降水量与极端降水量明显增加,但在其东部和中部地区微弱减少,而降水日数由于在其东部和南部显著减少引起半湿润区总体上呈现出减少趋势。

关键词: 青藏高原, 多源数据, 实地观测, 降水特征, 极端降水, 变化趋势, 气候区

Abstract:

The Qinghai-Tibet Plateau (QTP) is known as the “Water Tower of Asia” and is also the origin of major rivers in China. Study on changes in precipitation properties is crucial to assessment of climate change impact on water resources, agriculture and husbandry, ecosystems, and disasters such as drought, flash floods, and landslides. However, due to the complex of topography, and lack of spatial coverage of long-term in-situ observations, our understanding on changes in precipitation amount, frequency and related extremes is limited. In recent years, various precipitation analysis or derived datasets have been developed, but we do not have much knowledge on if these multi-source datasets are representative in reflecting actual climate change and consistent with in-situ observations in the QTP. The consistencies and differences in changes of the rainy season precipitation amount, frequency and extreme precipitation (R95ptot and R95pday) are comprehensively analyzed between the in-situ rain gauge observations and five analytical precipitation datasets (APHRO、CN05.1、CMFD、TRMM and GPCP) in this paper. In addition, changes of precipitation prosperities in three different climatic regions of QTP are assessed. It concludes that: (1) CN05.1 and CMFD datasets are generally consistent with the in-situ observations in terms of the trend of the regional average precipitation, the spatial distribution of precipitation, R95ptot and the trends, but have discrepancies in changes of precipitation days and extreme precipitation days. APHRO dataset underestimates increasing trends in precipitation total and frequency and gives opposite trends for extreme precipitation and frequency as compared to the in-situ observations on average. GPCP and TRMM datasets are too short for climate change study, overestimates change in number of rain days and exhibit opposite trend in total precipitation, but they are acceptable for trend estimates for extreme precipitation amount and frequency. (2) Based on the in-situ precipitation observations and with consideration of consistency of other analytical datasets, rainy season precipitation total and extreme amount, and number of extreme precipitation days over QTP show overall increasing trends from 1961 to 2019. However, uncertainty still exists in the understanding of precipitation frequency due to the large discrepancy between the in-situ observations and other analytical datasets. Regionally, the arid zone and the semi-arid zone seem to have experienced increasing trends in rainy season precipitation amount and frequency, and in extreme precipitation and frequency. For the semi-humid zone, a slight increase trend is detected in number of extreme precipitation days, and significant increase trends are found in precipitation total and extreme precipitation amount except for slight decrease trends in some of its eastern and central parts. In addition, regional averaged number of precipitation days has reduced mainly due to significant decrease in its eastern and southern parts.

Key words: The Qinghai-Tibet Plateau (QTP), Multi-source datasets, In-situ observations, Precipitation properties, Extreme precipitation, Trend, Climatic zones

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