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Data Details

NCEP, ECMWF and MERRA Data Based Global Mountain Torque Reanalysis Dataset


GONG He1HUANG Mei1
1Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

DOI:10.3974/geodb.2018.06.03.V1

Published:Oct. 2018

Visitors:1992       Data Files Downloaded:15      
Data Downloaded:23.81 MB      Citations:

Key Words:

globe,mountain torque,reanalysis data,NCEP,ECMWF,MERRA,Acta Meteorologica Sinica

Abstract:

The NCEP, ECMWF and MERRA data Based Global Mountain Torque Reanalysis Dataset (1979-2012) was developed based on the NCEP (National Centers for Environmental Prediction), ECMWF (European Centre for Medium-Range Weather Forecasts) and MERRA (The Modem Era Retrospective analysis for Research and Applications) and the method of Huang (1999). There are two parts in this dataset. (1) The mountain torque anomaly in Eurasian, South America and North America from 1979 to 2012 and (2) The spatial distribution of mountain torque in 1979-2012 average. The spatial resolution for NCEP is T62 Gaussian grids (192 x 94), for ECMWF is 0.75° x 0.75° average grids (480 x 241), for MERRA is (2/3)° x (1/2)° average grids (540 x 361). The dataset was archived in .xlsx, .grd and .nc data formats and in 7 data files with data size of 2.53 MB (Compressed to one file with data size of 1.58 MB). The analysis paper based on the dataset was published at Acta Meteorologica Sinica, Vol.75, No.3, 2017.

Foundation Item:

Ministry of Science and Technology of P. R. China (2012CB957802); National Natural Science Foundation of China (61573193)

Data Citation:

GONG He,HUANG Mei.NCEP, ECMWF and MERRA Data Based Global Mountain Torque Reanalysis Dataset[DB/OL].Global Change Research Data Publishing & Repository,2018.DOI:10.3974/geodb.2018.06.03.V1.

Data Product:

ID Data Name Data Size Operation
1 MountainTorque_1979-2012.rar 1625.47kb DownLoad
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

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