Research on PWV calculation combining MODIS and ERA5

Xingbo Zheng; Jie Yu; Lihua Han

doi:10.1117/12.3019409

23 January 2024 Research on PWV calculation combining MODIS and ERA5

Xingbo Zheng, Jie Yu, Lihua Han

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129780D (2024) https://doi.org/10.1117/12.3019409
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

The temporal and spatial variation of precipitable water (PWV) has an important effect on the forecast of short-time severe weather such as rainstorm and hail. In this paper, cloud mask is used to remove cloudy data, and then inverse distance weighting (D-IDW) algorithm of DEM with elevation information is used to process study area 1(Visalia, California, USA), Study area 2(Los Angeles, California, USA) and study Area 3(Bishkek, Kyrgyzstan). The problem that MODIS cannot be used in cloud areas is solved. Finally, the improved fusion model method is used to fuse MODIS data with ERA5 data to obtain PWV with high spatial resolution and high precision. The fusion of PWV image and ERA5-PWV image has a good similarity in the spatial distribution changes of study area 1 and study area 3, which have a large elevation fluctuation (elevation change is greater than 2 km). The Global Navigation Satellite System (GNSS)-PWV was used to verify the accuracy of the fusion data. The minimum deviation was found in December in the study area 1, with an average deviation of 1.79 mm. Study area 2 was the smallest in December, with a mean deviation of 1.91mm. Study area 3 had the smallest deviation in December, with a mean deviation of 1.52mm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingbo Zheng, Jie Yu, and Lihua Han "Research on PWV calculation combining MODIS and ERA5", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129780D (23 January 2024); https://doi.org/10.1117/12.3019409

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

MODIS

Clouds

Data fusion

Interpolation

Atmospheric sciences

Image fusion

Climatology

Show All Keywords

Keywords/Phrases

Search In:

Publication Years