Mesoscale model compatible IRS-P6 AWiFS-derived land use/land cover of Indian region

被引:22
作者
Gharai, Biswadip [1 ]
Rao, P. V. N. [2 ]
Dutt, C. B. S. [3 ]
机构
[1] ISRO, Atmospher Chem & Proc Studies Div, Earth & Climate Sci Area, Hyderabad 500037, India
[2] ISRO, Remote Sensing Area, Natl Remote Sensing Ctr, Hyderabad 500037, India
[3] Karnataka State Rural Dev & Panchyat Raj Univ, Gadag 582101, India
来源
CURRENT SCIENCE | 2018年 / 115卷 / 12期
关键词
Land use/land cover data; land-surface processes; mesoscale model; spatial resolution; IMPACT;
D O I
10.18520/cs/v115/i12/2301-2306
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
Mesoscale models, in general, are run using the US Geological Survey (USGS) 25-category land use/ land cover (LU/LC) data available at different spatial resolutions. The USGS data over the Indian region suffers from two types of errors, viz. misclassification of LU/LC data and non-availability of up-to-date satellite-based LU/LC data. To improve the accuracy and capture interannual changes better, the LU/LC data generated by the National Remote Sensing Centre (NRSC) using IRS-P6 AWiFS with 56 m basic resolution have been scaled to 5, 2 min and 30 sec resolution which is available at yearly intervals. In the next step, the Indian region of USGS data was replaced with IRS-P6 AWiFS-derived data and made compatible to MM5 and WRF mesoscale models. Thus the resultant product is a global USGS LU/LC data with the Indian region replaced by the information originally derived from AWiFS 56 m resolution imagery, for the years 2004-05 to 2012-13 (nine cycles). This communication describes the required LU/LC data format for MM5 and WRF models and the methodology adopted for compatible product generation. In addition, accuracy of AWiFS-derived LU/LC data converted to 30 sec resolution has also been determined. The present effort will provide the necessary reference for the atmospheric modelling community to address the Indian satellite based model compatible LU/LC data product. These data products are currently available on Bhuvan, the NRSC/ISRO geospatial portal.
引用
收藏
页码:2301 / 2306
页数:7
相关论文
共 11 条
[1]  
Byun D. W., 2004, MODELING EFFECTS LAN
[2]   Impact of vegetation on the simulation of seasonal monsoon rainfall over the Indian subcontinent using a regional model [J].
Dutta, Surya K. ;
Das, Someshwar ;
Kar, S. C. ;
Mohanty, U. C. ;
Joshi, P. C. .
JOURNAL OF EARTH SYSTEM SCIENCE, 2009, 118 (05) :413-440
[3]   Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data [J].
Loveland, TR ;
Reed, BC ;
Brown, JF ;
Ohlen, DO ;
Zhu, Z ;
Yang, L ;
Merchant, JW .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (6-7) :1303-1330
[4]  
Narisma GT, 2003, J HYDROMETEOROL, V4, P424, DOI 10.1175/1525-7541(2003)4<424:TIOYOL>2.0.CO
[5]  
2
[6]  
Nataly P., 2001, J GEOPHYS RES, V106, P621
[7]   Impact of land cover change on the climate of southwest Western Australia [J].
Pitman, AJ ;
Narisma, GT ;
Pielke, RA ;
Holbrook, NJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2004, 109 (D18) :D181091-12
[8]  
Quattrochi D. A., 2006, NASATP2006214710
[9]  
Ran L., 2010, AIR POLLUTION MODELL, pXX, DOI [10.1007/978-90-48-3812-8, DOI 10.1007/978-90-48-3812-8]
[10]   Impacts of land cover data quality on regional climate simulations [J].
Sertel, Elif ;
Robock, Alan ;
Ormeci, Cankut .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2010, 30 (13) :1942-1953