The Retrieval of Total Precipitable Water over Global Land Based on FY-3D/MWRI Data

被引:15
作者
Du, Baolong [1 ,2 ]
Ji, Dabin [1 ]
Shi, Jiancheng [1 ,3 ]
Wang, Yongqian [2 ]
Lei, Tianjie [4 ]
Zhang, Peng [5 ]
Letu, Husi [1 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Chengdu Univ Informat Technol, Coll Resources & Environm, Chengdu 610225, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] China Inst Water Resources & Hydropower Res IWHR, Beijing 100038, Peoples R China
[5] China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
FY-3D; MWRI; total precipitable water; lookup table method; microwave remote sensing; REMOTE-SENSING APPLICATIONS; MELTING-LAYER MODEL; AMSR-E; VAPOR; SATELLITE; TEMPERATURE; ALGORITHM; PROGRESS; NETWORK;
D O I
10.3390/rs12091508
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Total precipitable water (TPW) is an important key factor in the global water cycle and climate change. The knowledge of TPW characteristics at spatial and temporal scales could help us to better understand our changing environment. Currently, many algorithms are available to retrieve TPW from optical and microwave sensors. There are still no available TPW data over land from FY-3D MWRI, which was launched by China in 2017. However, the TPW product over land is a key element for the retrieval of many ecological environment parameters. In this paper, an improved algorithm was developed to retrieve TPW over land from the brightness temperature of FY-3D MWRI. The major improvement is that surface emissivity, which is a key parameter in the retrieval of TPW in all-weather conditions, was developed and based on an improved algorithm according to the characteristics of FY-3D MWRI. The improvement includes two aspects, one is selection of appropriate ancillary data in estimating surface emissivity parameter Delta epsilon(18.7)/Delta epsilon(23.8) in clear sky conditions, and the other is an improvement of the Delta epsilon(18.7)/Delta epsilon(23.8) estimation function in cloudy conditions according to the band configuration of FY-3D MWRI. Finally, TPW retrieved was validated using TPW observation from the SuomiNet GPS and global distributed Radiosonde Observations (RAOB) networks. According to the validation, TPW retrieved using observations from FY-3D MWRI and ancillary data from Aqua MODIS had the best quality. The root mean square error (RMSE) and correlation coefficient between the retrieved TPW and observed TPW from RAOB were 5.47 and 0.94 mm, respectively.
引用
收藏
页数:17
相关论文
共 35 条
[1]   A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations [J].
Aires, F ;
Prigent, C ;
Rossow, WB ;
Rothstein, M .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D14) :14887-14907
[2]   GPS METEOROLOGY - REMOTE-SENSING OF ATMOSPHERIC WATER-VAPOR USING THE GLOBAL POSITIONING SYSTEM [J].
BEVIS, M ;
BUSINGER, S ;
HERRING, TA ;
ROCKEN, C ;
ANTHES, RA ;
WARE, RH .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1992, 97 (D14) :15787-15801
[3]   Cloud mask-related differential linear adjustment model for MODIS infrared water vapor product [J].
Chang, Liang ;
Xiao, Ruya ;
Prasad, Abhnil Amtesh ;
Gao, Guoping ;
Feng, Guiping ;
Zhang, Yu .
REMOTE SENSING OF ENVIRONMENT, 2019, 221 :650-664
[4]   A new satellite retrieval method for precipitable water vapor over land and ocean [J].
Deeter, Merritt N. .
GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (02)
[5]   Satellite Microwave Retrieval of Total Precipitable Water Vapor and Surface Air Temperature Over Land From AMSR2 [J].
Du, Jinyang ;
Kimball, John S. ;
Jones, Lucas A. .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (05) :2520-2531
[6]  
[高大伟 Gao Dawei], 2014, [国土资源遥感, Remote Sensing for Land & Resources], V26, P139
[7]  
Ji D., 2012, ATMOSPHERE WATER VAP
[8]   A total precipitable water retrieval method over land using the combination of passive microwave and optical remote sensing [J].
Ji, Dabin ;
Shi, Jiancheng ;
Xiong, Chuan ;
Wang, Tianxing ;
Zhang, Yuhuan .
REMOTE SENSING OF ENVIRONMENT, 2017, 191 :313-327
[9]   Water Vapor Retrieval Over Cloud Cover Area on Land Using AMSR-E and MODIS [J].
Ji, Dabin ;
Shi, Jiancheng .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (07) :3105-3116
[10]  
Jin C, 2018, A study on cloud detection algorithm of FengYun-3D spectral imager over land