The MODIS PWV correction based on CMONOC in Chinese mainland

doi:10.11947/j.AGCS.2019.20180386

Abstract

Abstract: It was carried out for calibration of MODIS PWV in different climates in Chinese mainland based on GNSS observations and meteorological data provided by CMONOC. Firstly, it was carried out for the correlation analysis of GNSS PWV and MODIS PWV, based on the different climate types. And then, it was constructed for the correction-model of MODIS PWV by different climate types based on GNSS PWV. It was carried out for improved effect according to the measured GNSS PWV and the interpolation effect comparison before and after the calibration of MODIS PWV. The MODIS PWV correction model of different climate types can be used to effectively improve the precision of MODIS PWV. It can be used in the application of MODIS PWV in short-term weather forecast and InSAR atmospheric correction.

Key words: CMONOC, GNSS, PWV, MODIS, correction-model

CLC Number:

P228

LIU Bei, WANG Yong, LOU Zesheng, ZHAN Wei. The MODIS PWV correction based on CMONOC in Chinese mainland[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(10): 1207-1215.

References 25

[1]	DI PIAZZA A, LO CONTI F, NOTO L V, et al. Comparative analysis of different techniques for spatial interpolation of rainfall data to create a serially complete monthly time series of precipitation for Sicily, Italy[J]. International Journal of Applied Earth Observation and Geoinformation, 2011, 13(3):396-408.
[2]	NELSON R R, CRISP D, OTT L E, et al. High-accuracy measurements of total column water vapor from the Orbiting Carbon Observatory-2[J]. Geophysical Research Letters, 2016, 43(23):12261-12269.
[3]	JI Dabin, SHI Jiancheng, XIONG Chuan, et al. A total precipitable water retrieval method over land using the combination of passive microwave and optical remote sensing[J]. Remote Sensing of Environment, 2017, 191(3):313-327.
[4]	王勇, 刘严萍. 地基GPS气象学原理与应用研究[M]. 北京:测绘出版社, 2012. WANG Yong, LIU Yanping. Theory and application of ground-based GPS meteorology[M]. Beijing:Surveying and Mapping Press, 2012.
[5]	鄢子平, 李振洪. InSAR大气水汽改正模型的比较应用研究[J]. 武汉大学学报(信息科学版), 2008, 33(7):723-726. YAN Ziping, LI Zhenhong. Comparison of atmospheric water vapour correction models for InSAR measurements[J]. Geomatics and Information Science of Wuhan University, 2008, 33(7):723-726.
[6]	常亮, 郭立新, 冯贵平. MODIS红外水汽校正及其在InSAR大气改正中的应用[J]. 大地测量与地球动力学, 2016, 36(1):47-51. CHANG Liang, GUO Lixin, FENG Guiping. Calibration of MODIS water vapor product at infrared band and its application to InSAR atmospheric correction[J]. Journal of Geodesy and Geodynamics, 2016, 36(1):47-51.
[7]	王江涛, 邓喀中, 范洪冬, 等. 基于MODIS与GPS的D-InSAR大气延迟改正量提取[J]. 测绘科学技术学报, 2012, 29(4):271-275. WANG Jiangtao, DENG Kazhong, FAN Hongdong, et al. Extraction of D-InSAR atmospheric delay correction based on MODIS and GPS[J]. Journal of Geomatics Science and Technology, 2012, 29(4):271-275.
[8]	陈娇娜, 李国平, 黄文诗. 成都地区秋、冬季GPS可降水量的时空分析[J]. 气象科学, 2009, 29(5):682-686. CHEN Jiaona, LI Guoping, HUANG Wenshi. On the spatial-temporal analysis of GPS precipitable water vapor in Autumn and Winter in Chengdu Plain[J]. Scientia Meteorologica Sinica, 2009, 29(5):682-686.
[9]	王永前, 施建成, 刘志红, 等. 利用微波辐射计AMSR-E的京津冀地区大气水汽反演[J]. 武汉大学学报(信息科学版), 2015, 40(4):479-486. WANG Yongqian, SHI Jiancheng, LIU Zhihong, et al. Passive microwave remote sensing of precipitable water vapor over Beijing-Tianjin-Hebei region based on AMSR-E[J]. Geomatics and Information Science of Wuhan University, 2015, 40(4):479-486.
[10]	许超钤, 史俊波, 郭际明, 等. 联合地基GPS和空基COSMIC掩星的可降水量研究[J]. 武汉大学学报(信息科学版), 2011, 36(4):467-470. XU Chaoqian, SHI Junbo, GUO Jiming, et al. Analysis of combining ground-based GPS network and space-based COSMIC occultation observation for precipitable water vapor application[J]. Geomatics and Information Science of Wuhan University, 2011, 36(4):467-470.
[11]	姚宜斌, 张顺, 孔建. GNSS空间环境学研究进展和展望[J]. 测绘学报, 2017, 46(10):1408-1420. DOI:10.11947/j.AGCS.2017.20170333. YAO Yibin, ZHANG Shun, KONG Jian. Research progress and prospect of GNSS space environment science[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1408-1420. DOI:10.11947/j.AGCS.2017.20170333.
[12]	于胜杰, 柳林涛, 梁星辉. 约束条件对GPS水汽层析解算的影响分析[J]. 测绘学报, 2010, 39(5):491-496. YU Shengjie, LIU Lintao, LIANG Xinghui. Influence analysis of constraint conditions on GPS water vapor tomography[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(5):491-496.
[13]	SINGH D, GHOSH J K, KASHYAP D. Precipitable water vapor estimation in India from GPS-derived zenith delays using radiosonde data[J]. Meteorology and Atmospheric Physics, 2014, 123(3-4):209-220.
[14]	李星光, 郑南山. 参数设置对高精度GPS数据解算的影响探讨[J]. 测绘科学, 2015, 40(1):33-37, 51. LI Xingguang, ZHENG Nanshan. Discussion on effects of different parameter settings on high-precise GPS data solution[J]. Science of Surveying and Mapping, 2015, 40(1):33-37, 51.
[15]	YAO Yibin, SHAN Lulu, ZHAO Qingzhi. Establishing a method of short-term rainfall forecasting based on GNSS-derived PWV and its application[J]. Scientific Reports, 2017, 7(1):12465.
[16]	WANG Yong, LIU Yanping, LIU Lintao, et al. Retrieval of the change of precipitable water vapor with zenith tropospheric delay in the Chinese Mainland[J]. Advances in Space Research, 2009, 43(1):82-88.
[17]	张天龙, 韦晶, 甘敬民, 等. 利用MODIS近红外数据反演大气水汽含量研究[J]. 光谱学与光谱分析, 2016, 36(8):2378-2383. ZHANG Tianlong, WEI Jing, GAN Jingmin, et al. Precipitable water vapor retrieval with MODIS near infrared data[J]. Spectroscopy and Spectral Analysis, 2016, 36(8):2378-2383.
[18]	GURBUZ G, JIN Shuanggen. Long-time variations of precipitable water vapour estimated from GPS, MODIS and radiosonde observations in Turkey[J]. International Journal of Climatology, 2017, 37(15):5170-5180.
[19]	DE OLIVEIRA G, BRUNSELL N A, MORAES E C, et al. Evaluation of MODIS-based estimates of water-use efficiency in Amazonia[J]. International Journal of Remote Sensing, 2017, 38(19):5291-5309.
[20]	GUI Ke, CHE Huizheng, CHEN Quanliang, et al. Evaluation of radiosonde, MODIS-NIR-clear, and AERONET precipitable water vapor using IGS ground-based GPS measurements over China[J]. Atmospheric Research, 2017, 197(11):461-473.
[21]	方圣辉, 毕创, 乐源, 等. 利用GPS可降水量校正MODIS近红外水汽数据[J]. 测绘科学, 2016, 41(9):38-41. FANG Shenghui, BI Chuang, LE Yuan, et al. Calibration of MODIS near infrared vapor products using precipitable water vapor retrieved from GPS data[J]. Science of Surveying and Mapping, 2016, 41(9):38-41.
[22]	张俊东, 陈秀万, 李颖, 等. 基于GPS数据的MODIS近红外水汽改进反演算法研究[J]. 地理与地理信息科学, 2013, 29(2):40-44. ZHANG Jundong, CHEN Xiuwan, LI Ying, et al. Research on improved retrieval algorithm of MODIS near-IR water vapor based on GPS data[J]. Geography and Geo-Information Science, 2013, 29(2):40-44.
[23]	曹艳丰, 陈宝献, 陈秀万, 等. 基于GPS数据的MODIS大气可降水量反演精度提高模型[J]. 遥感信息, 2014, 29(2):23-27. CAO Yanfeng, CHEN Baoxian, CHEN Xiuwan, et al. A real-time accuracy model of MODIS PWV using GPS PWV Data[J]. Remote Sensing Information, 2014, 29(2):23-27.
[24]	王西地. 基于GPS和MODIS数据的大气可降水量算法研究[D]. 南京:东南大学, 2017. WANG Xidi. Research on precipitable water vapor based on GPS and MODIS data[D]. Nanjing:Southeast University, 2017.
[25]	BEVIS M, BUSINGER S, HERRING T A, et al. GPS meteorology:remote sensing of atmospheric water vapor using the global positioning system[J]. Journal of Geophysical Research, 1992, 97(D14):15787-15801.