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Method for comprehensively correcting north pole sea ice thickness inversion

A technology of comprehensive correction and inversion equations, applied in design optimization/simulation, instrumentation, electrical digital data processing, etc., can solve problems such as poor accuracy and lack of snow depth data on ice for many years, and achieve the goal of improving accuracy Effect

Pending Publication Date: 2022-04-29
SHANGHAI OCEAN UNIV
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Problems solved by technology

In the present Arctic sea ice thickness inversion, the snow thickness used is mainly obtained by using the annual ice and snow thickness data of AMSR-E / AMSR2 and the linear fitting formula of the W99 model, and its accuracy is not good, and Lack of data on multi-year snow depth on ice

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  • Method for comprehensively correcting north pole sea ice thickness inversion
  • Method for comprehensively correcting north pole sea ice thickness inversion
  • Method for comprehensively correcting north pole sea ice thickness inversion

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Embodiment Construction

[0025] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments:

[0026] Such as figure 1 A method for comprehensively correcting the inversion of Arctic sea ice thickness is shown, including the following steps:

[0027] Step S1: Use the download tool to download the monthly average CryoSat-2 dataset with a spatial resolution of 25km×25km, which includes radar freeboard, sea ice freeboard, sea ice thickness, sea ice density, and snow density , seawater density, sea ice type and snow thickness, and build a database for the CryoSat-2 data; use the download tool to download the daily FY3B / MWRI dataset with a spatial resolution of 10km×10km, which includes different channels Brightness Temperatures (TBs). Establish a database for FY3B / MWRI data; use the download tool to download the daily OIB dataset with a spat...

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Abstract

The invention relates to a method for comprehensively correcting north pole sea ice thickness inversion, which belongs to the technical field of satellite remote sensing sea ice thickness inversion, and comprises the following steps: S1, downloading satellite data and establishing a database; s2, simulating the brightness temperature TBs of FY3B / MWRI by using a microwave emission model of layered accumulated snow in combination with satellite data, performing correlation analysis on the depth change of the accumulated snow, and determining optimal parameters; s3, deducing an inversion formula of the accumulated snow depth under one-year ice and multi-year ice according to the optimal parameters, and inverting accumulated snow depth data by using the formula; s4, using the accumulated snow depth data to redistribute the grid data of the accumulated snow depth; step S5, deducing to obtain an improved CryoSat-2 radar penetration rate; s6, constructing a sea ice thickness inversion equation; and S7, substituting the data into the sea ice thickness inversion equation to obtain the sea ice thickness. The constructed sea ice thickness inversion equation effectively improves the accuracy of the inversion result, and more accurate north pole sea ice thickness can be obtained.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing sea ice thickness inversion, in particular to a method for comprehensively correcting arctic sea ice thickness inversion. Background technique [0002] Sea ice is an important factor in the Earth's climate system, which limits the exchange of heat, moisture, and momentum between the ocean and the atmosphere, and also plays a vital role in ocean circulation and the primary productivity of the Arctic Ocean. Under the background of global warming today, the thickness of Arctic sea ice has declined rapidly in the past few decades. The study of global change is of great significance, so it has received extensive attention from climate research and the international community. [0003] Sea ice thickness is observed by various methods, including submarines, ice mass balance buoys, electromagnetic induction bathymetry, and satellite laser and radar altimetry. The CryoSat2 mission has be...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/25G06F119/02
CPCG06F30/25G06F2119/02Y02A90/10
Inventor 张瑜周意
Owner SHANGHAI OCEAN UNIV
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