The first high-resolution meteorological forcing dataset for land process studies over China

被引:1070
|
作者
He, Jie [1 ]
Yang, Kun [1 ,2 ]
Tang, Wenjun [2 ,3 ]
Lu, Hui [1 ]
Qin, Jun [3 ]
Chen, Yingying [2 ,3 ]
Li, Xin [2 ,3 ]
机构
[1] Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China
[2] Chinese Acad Sci, Inst Tibetan Plateau Res, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
[3] Chinese Acad Sci, Inst Tibetan Plateau Res, Ctr Earth Observat & Big Data Anal Poles 3, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
GAUGE OBSERVATIONS; PRECIPITATION; MODEL; RADIATION;
D O I
10.1038/s41597-020-0369-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The China Meteorological Forcing Dataset (CMFD) is the first high spatial-temporal resolution gridded near-surface meteorological dataset developed specifically for studies of land surface processes in China. The dataset was made through fusion of remote sensing products, reanalysis datasets and in-situ station data. Its record begins in January 1979 and is ongoing (currently up to December 2018) with a temporal resolution of three hours and a spatial resolution of 0.1 degrees. Seven near-surface meteorological elements are provided in the CMFD, including 2-meter air temperature, surface pressure, and specific humidity, 10-meter wind speed, downward shortwave radiation, downward longwave radiation and precipitation rate. Validations against observations measured at independent stations show that the CMFD is of superior quality than the GLDAS (Global Land Data Assimilation System); this is because a larger number of stations are used to generate the CMFD than are utilised in the GLDAS. Due to its continuous temporal coverage and consistent quality, the CMFD is one of the most widely-used climate datasets for China.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] A high space-time resolution dataset linking meteorological forcing and hydro-sedimentary response in a mesoscale Mediterranean catchment (Auzon) of the Ardeche region, France
    Nord, Guillaume
    Boudevillain, Brice
    Berne, Alexis
    Branger, Flora
    Braud, Isabelle
    Dramais, Guillaume
    Gerard, Simon
    Le Coz, Jerome
    Legout, Cedric
    Molinie, Gilles
    Van Baelen, Joel
    Vandervaere, Jean-Pierre
    Andrieu, Julien
    Aubert, Coralie
    Calianno, Martin
    Delrieu, Guy
    Grazioli, Jacopo
    Hachani, Sahar
    Horner, Ivan
    Huza, Jessica
    Le Boursicaud, Raphael
    Raupach, Timothy H.
    Teuling, Adriaan J.
    Uber, Magdalena
    Vincendon, Beatrice
    Wijbrans, Annette
    EARTH SYSTEM SCIENCE DATA, 2017, 9 (01) : 221 - 249
  • [42] A high-resolution ammonia emission inventory in China
    Huang, Xin
    Song, Yu
    Li, Mengmeng
    Li, Jianfeng
    Huo, Qing
    Cai, Xuhui
    Zhu, Tong
    Hu, Min
    Zhang, Hongsheng
    GLOBAL BIOGEOCHEMICAL CYCLES, 2012, 26
  • [43] A Novel High-Resolution Gridded Precipitation Dataset for Peruvian and Ecuadorian Watersheds: Development and Hydrological Evaluation
    Fernandez-Palomino, Carlos Antonio
    Hattermann, Fred F.
    Krysanova, Valentina
    Lobanova, Anastasia
    Vega-Jacome, Fiorella
    Lavado, Waldo
    Santini, William
    Aybar, Cesar
    Bronstert, Axel
    JOURNAL OF HYDROMETEOROLOGY, 2022, 23 (03) : 309 - 336
  • [44] Evaluation of High-Resolution Precipitation Products over the Rwenzori Mountains (Uganda)
    Nakulopa, Faluku
    Van de rkelen, Inne
    van de Walle, Jonas
    van Lipzig, Nicole P. M.
    Tabari, Hossein
    Jacobs, Liesbet
    Tweheyo, Collins
    Dewitte, Olivier
    Thiery, Wim
    JOURNAL OF HYDROMETEOROLOGY, 2022, 23 (05) : 747 - 768
  • [45] High-Resolution Ultrasonic Spectroscopy for Crystallization Process
    Tian, Zhen
    Bing, Naici
    Xie, Hongyong
    MEASUREMENT AND CONTROL OF GRANULAR MATERIALS, 2012, 508 : 146 - 150
  • [46] High-Resolution Coupled Climate Runoff Simulations of Seasonal Snowfall over Colorado: A Process Study of Current and Warmer Climate
    Rasmussen, Roy
    Liu, Changhai
    Ikeda, Kyoko
    Gochis, David
    Yates, David
    Chen, Fei
    Tewari, Mukul
    Barlage, Michael
    Dudhia, Jimy
    Yu, Wei
    Miller, Kathleen
    Arsenault, Kristi
    Grubisic, Vanda
    Thompson, Greg
    Gutmann, Ethan
    JOURNAL OF CLIMATE, 2011, 24 (12) : 3015 - 3048
  • [47] A High-Resolution Global Gridded Historical Dataset of Climate Extreme Indices
    Mistry, Malcolm N.
    DATA, 2019, 4 (01)
  • [48] Performance of an empirical bias-correction of a high-resolution climate dataset
    Bennett, James C.
    Grose, Michael R.
    Corney, Stuart P.
    White, Christopher J.
    Holz, Gregory K.
    Katzfey, Jack J.
    Post, David A.
    Bindoff, Nathaniel L.
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2014, 34 (07) : 2189 - 2204
  • [49] A Long-Term Simulation of Land Surface Conditions at High Resolution over Continental China
    Ji, Peng
    Yuan, Xing
    Shi, Chunxiang
    Jiang, Lipeng
    Wang, Guoqing
    Yang, Kun
    JOURNAL OF HYDROMETEOROLOGY, 2023, 24 (02) : 285 - 314
  • [50] Integrated high-resolution dataset of high-intensity European and Mediterranean flash floods
    Amponsah, William
    Ayral, Pierre-Alain
    Boudevillain, Brice
    Bouvier, Christophe
    Braud, Isabelle
    Brunet, Pascal
    Delrieu, Guy
    Didon-Lescot, Jean-Francois
    Gaume, Eric
    Lebouc, Laurent
    Marchi, Lorenzo
    Marra, Francesco
    Morin, Efrat
    Nord, Guillaume
    Payrastre, Olivier
    Zoccatelli, Davide
    Borga, Marco
    EARTH SYSTEM SCIENCE DATA, 2018, 10 (04) : 1783 - 1794