青藏高原高分辨率区域再分析资料(1961年-至今)
收藏国家青藏高原科学数据中心2023-10-24 更新2024-02-29 收录
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https://data.tpdc.ac.cn/zh-hans/data/cae861c4-9361-4a4a-a61e-71c54819c018
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资源简介:
近几十年来,随着全球变暖,青藏高原遭受了冰川退缩、冰湖扩张永久冻土退化等严重影响,威胁着当地和下游人民的生命财产安全。由于青藏高原上观测的缺乏,区域再分析资料的应用显得尤为重要。本数据集使用WRF区域气候模式、重初始化方法、谱逼近以及一些优化构建了62年(1961-2022年)的长期大气再分析资料(TPRR),时空分辨率分别为9km,1hr,并由来自欧洲中心的逐小时全球再分析资料ERA5驱动。TPRR中,关闭了对流参数化方案。和ERA5相比,TPRR对降水和2m气温的气候平均态以及季节变化的描述更为真实。此外,TPRR对日降水频率和强度以及降水日循环的模拟更为准确。在全球变暖的背景下,使用TPRR量化青藏高原整体的增湿趋势为0.0071毫米/年。
In recent decades, with global warming, the Tibetan Plateau has suffered severe impacts such as glacier retreat, glacial lake expansion, and permafrost degradation, threatening the lives and property of local and downstream populations. Due to the scarcity of in-situ observations over the Tibetan Plateau, the application of regional reanalysis data is particularly important. This dataset constructs a 62-year (1961–2022) long-term atmospheric reanalysis dataset (TPRR) using the WRF regional climate model, reinitialization methods, spectral nudging, and several optimizations, with a spatial resolution of 9 km and temporal resolution of 1 hour, driven by the hourly global reanalysis dataset ERA5 from the European Centre for Medium-Range Weather Forecasts (ECMWF). In TPRR, the convective parameterization scheme is turned off. Compared with ERA5, TPRR provides a more realistic depiction of the climatological mean state and seasonal variations of precipitation and 2-meter air temperature. In addition, TPRR more accurately simulates the daily precipitation frequency, intensity, and diurnal cycle of precipitation. Against the backdrop of global warming, TPRR is used to quantify the overall humidification trend over the Tibetan Plateau as 0.0071 mm yr⁻¹.
提供机构:
汤剑平,周沛锋,马梦楠,姬大彬,施建成
创建时间:
2023-10-14
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是青藏高原高分辨率区域再分析资料,覆盖1961年至2023年,空间分辨率1km至10km,时间分辨率小时级别,数据量4.25 TB。使用WRF模式构建,对降水和气温的描述优于ERA5,适用于研究青藏高原气候变化和增湿趋势。
以上内容由遇见数据集搜集并总结生成



