Development of a high-resolution near-surface meteorological forcing dataset for the Third Pole region

被引:0
|
作者
Yaozhi JIANG [1 ,2 ]
Wenjun TANG [3 ]
Kun YANG [2 ,3 ]
Jie HE [3 ]
Changkun SHAO [2 ]
Xu ZHOU [3 ]
Hui LU [2 ,4 ,5 ]
Yingying CHEN [3 ]
Xin LI [3 ]
Jiancheng SHI [6 ]
机构
[1] School of Resources and Environment,University of Electronic Science and Technology of China
[2] Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modeling,Institute for Global Change Studies,Tsinghua University
[3] National Tibetan Plateau Data Center,State Key Laboratory of Tibetan Plateau Earth System,Environment and Resources,Institute of Tibetan Plateau Research,Chinese Academy of Sciences
[4] State Key Laboratory of Hydroscience and Engineering,Tsinghua University
[5] Tsinghua University (Department of Earth System Science)-Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping
[6] National Space Science Center,Chinese Academy of
关键词
D O I
暂无
中图分类号
P467 [气候变化、历史气候]; P413 [数据处理];
学科分类号
摘要
Recently, the Third Pole(TP) region has experienced rapid environmental changes. Meteorological data are essential for hydrometeorological and ecological applications but still have large uncertainties on the TP owing to the heterogeneous land surface, complex terrain, and sparse weather stations. In this study, a long-term(1979–2020) high-resolution(1/30°) meteorological forcing dataset for the TP(TPMFD) was developed, as a sister to the widely used China Meteorological Forcing Dataset(CMFD). The TPMFD comprises seven components necessary for driving land surface models. We have previously contributed precipitation and downward shortwave radiation data for the TPMFD, and this study presents the development of five other components and focuses on validations for all components. Specifically, 2-meter air temperature, 2-meter specific humidity, 10-meter wind speed, and surface air pressure were generated by combining the fifth-generation atmospheric reanalysis for European Center for Medium-Range Weather Forecasts(ERA5), a short-term high-resolution atmospheric simulation, and in situ observations, and the downward longwave radiation was calculated using semi-physical parameterization. Both cross-validation and independent-validation demonstrated that most variables in the developed dataset outperformed those in widely used reanalysis datasets, including ERA5, ERA5-Land, and the Global Land Data Assimilation System(GLDAS). This dataset is expected to be beneficial for climate analyses and modeling applications of land-surface processes on the TP.
引用
收藏
页码:1274 / 1290
页数:17
相关论文
共 50 条
  • [41] Imaging near-surface buried structure with high-resolution surface-wave group-velocity tomography
    Martin, J
    Kubota, T
    Long, LT
    2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS, 2000, : 641 - 644
  • [42] Deep learning downscaled high-resolution daily near surface meteorological datasets over East Asia
    Lin, Hai
    Tang, Jianping
    Wang, Shuyu
    Wang, Shuguang
    Dong, Guangtao
    SCIENTIFIC DATA, 2023, 10 (01)
  • [43] Deep learning downscaled high-resolution daily near surface meteorological datasets over East Asia
    Hai Lin
    Jianping Tang
    Shuyu Wang
    Shuguang Wang
    Guangtao Dong
    Scientific Data, 10
  • [44] High-resolution observations of the near-surface wind field over an isolated mountain and in a steep river canyon
    Butler, B. W.
    Wagenbrenner, N. S.
    Forthofer, J. M.
    Lamb, B. K.
    Shannon, K. S.
    Finn, D.
    Eckman, R. M.
    Clawson, K.
    Bradshaw, L.
    Sopko, P.
    Beard, S.
    Jimenez, D.
    Wold, C.
    Vosburgh, M.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (07) : 3785 - 3801
  • [45] Land-Streamer vs. Conventional Seismic Data for High-Resolution Near-Surface Surveys
    Hanafy, Sherif M.
    APPLIED SCIENCES-BASEL, 2022, 12 (02):
  • [46] HALOBATES: An Autonomous Surface Vehicle for High-Resolution Mapping of the Sea Surface Microlayer and Near-Surface Layer on Essential Climate Variables
    Wurl, Oliver
    Gassen, Lisa
    Badewien, Thomas H.
    Braun, Axel
    Emig, Sven
    Holthusen, Lina A.
    Lehners, Carola
    Meyerjürgens, Jens
    Ribas, Mariana Ribas
    Journal of Atmospheric and Oceanic Technology, 2024, 41 (12) : 1197 - 1211
  • [47] High-resolution Seismic Imaging of Near-surface Fault Structures within the Upper Rhine Graben, Germany
    Musmann, Patrick
    Buness, Hermann
    ADVANCES IN NEAR-SURFACE SEISMOLOGY AND GROUND-PENETRATING RADAR, 2010, 15 : 281 - 296
  • [48] Numerical evaluation of active source magnetics as a method for imaging high-resolution near-surface magnetic heterogeneity
    Noh, Kyubo
    Lee, Ki Ha
    Oh, Seokmin
    Seol, Soon Jee
    Byun, Joongmoo
    GEOPHYSICS, 2017, 82 (05) : J27 - J38
  • [49] High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform
    Pan, Yudi
    Gao, Lingli
    Bohlen, Thomas
    SURVEYS IN GEOPHYSICS, 2019, 40 (02) : 167 - 195
  • [50] High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform
    Yudi Pan
    Lingli Gao
    Thomas Bohlen
    Surveys in Geophysics, 2019, 40 : 167 - 195