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RESEARCH POSTER PRESENTATION DESIGN © 2012 www.PosterPresentations.com Sea ice concentration (SIC) is one of the important parameters that can reflect the characteristics of sea ice. The National Snow and Ice Data Center (NSIDC) provides the SIC data of the north and south poles for nearly 40 years since 1978 by using the satellite radiometers. According to the report of NATURE, F18 and AMSR2 in orbit have been out of service, and there is no subsequent launch plan. Precious sea ice record data lasting nearly 40 years is in danger of being broken. The observation frequency band of China's Haiyang-2 (HY-2) and Fengyun-3 (FY-3) Series satellites microwave radiometer is similar to that of the United States DMSP / SSMIS, which has the potential to become the main data source of polar sea ice observation. In this study, we developed an inter-sensor calibration the Tb between FY3C/MWIR, and F17/SSMIS, and we systematically evaluated temporal continuity of the daily sea ice concentration products over polar region from FY3C/MWIR data. Introduction Data FY-3C/MWIR brightness temperature data F17/SSMIS brightness temperature data The radiometric parameters of these two sensors are listed in the below Table1. 1) National Satellite Ocean Application Service, Beijing, China 2) Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing, China Lijian Shi 1,2 , Qimao Wang 1,2 , Bin Zou 1,2 , Sen Liu 1,2 Data and Preprocessing Sea ice concentration data record over Arctic based on Chinese satellite-borne microwave radiometer 1. According to the method of projection in the last subsection, each swath data is projected at the north and south poles with the spatial resolution of 12.5km, and then the observation of land area are eliminated. 2. The data matchup was carried out with the spatial window of 12.5km and the temporal window of 1 hour. 3. Based on the matched Tb data of each band, the corresponding linear regression coefficients were calculated. In order to calculate the calibration coefficient more accurately, we selected the matched data of the 1st, 11th and 21th days of each month to obtain the calibration coefficients of 12 months. With the coefficients, the calibrated Tb data of MWRI was used to retrieve the SIC in the subsequent work. Satellite DMSP-F17 FY-3C Sensor SSMIS MWRI Orbit height(km) 850 836 Viewing angle(°) 53.1 45 AECT 5.31pm 1.40~2.00pm Channels used in this study:footprint (GHz:km×km) 19.3: 70×45 22.2: 60×40 37.0: 38×30 18.7: 30×50 23.8: 27×45 36.5: 18×30 Swath width(km) 1700 1400 Table 1. Parameters comparison of F17/SSMIS and FY-3C/MWRI The SIC operational products provided by the NSIDC were used to compare with the retrieved result with FY-3C data. Figure 1. Brightness temperature (19H) and observation times of Arctic and Antarctic Projection The daily 14 tracks brightness temperature data of SSMIS and MWRI are reconstructed to a polar plane grid using polar stereographic projection formulae, respectively. Figure 1 reflects the number of observations of each pixel of polar plane grid obtained by resampling and most of the areas are mainly concentrated in 20-70. Inter-sensor calibrations Figure 2. Scatter diagrams of matched data of 3 days of March 2016 Totally 565114 pairs of brightness temperature for each channel were compared. The point numbers are calculated with the base 10 logarithm and displayed according to the colorbar. The 1:1 line is shown with black line and the established inter-sensor calibration model is shown with red line. The textbox lists the detailed information including the inter-sensor calibration formula, matched data’s correlation coefficient (R), bais and root mean square error (RMSE).

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Page 1: Sea ice concentration data record over Arctic based THIS …adf5c324e923ecfe4e0a-6a79b2e2bae065313f2de67bbbf078a3.r67... · 2020. 6. 17. · RESEARCH POSTER PRESENTATION DESIGN ©

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Sea ice concentration (SIC) is one of the important parameters that can

reflect the characteristics of sea ice. The National Snow and Ice Data Center

(NSIDC) provides the SIC data of the north and south poles for nearly 40

years since 1978 by using the satellite radiometers.

According to the report of NATURE, F18 and AMSR2 in orbit have been out

of service, and there is no subsequent launch plan. Precious sea ice record

data lasting nearly 40 years is in danger of being broken.

The observation frequency band of China's Haiyang-2 (HY-2) and Fengyun-3

(FY-3) Series satellites microwave radiometer is similar to that of the United

States DMSP / SSMIS, which has the potential to become the main data

source of polar sea ice observation.

In this study, we developed an inter-sensor calibration the Tb between

FY3C/MWIR, and F17/SSMIS, and we systematically evaluated temporal

continuity of the daily sea ice concentration products over polar region from

FY3C/MWIR data.

Introduction

Data

FY-3C/MWIR brightness temperature data

F17/SSMIS brightness temperature data

The radiometric parameters of these two sensors are listed in the below Table1.

1) National Satellite Ocean Application Service, Beijing, China

2) Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing, China

Lijian Shi1,2, Qimao Wang1,2, Bin Zou1,2, Sen Liu1,2

Data and Preprocessing

Sea ice concentration data record over Arctic based on Chinese satellite-borne microwave radiometer

1. According to the method of projection in the last subsection, each swath data

is projected at the north and south poles with the spatial resolution of 12.5km,

and then the observation of land area are eliminated.

2. The data matchup was carried out with the spatial window of 12.5km and the

temporal window of 1 hour.

3. Based on the matched Tb data of each band, the corresponding linear

regression coefficients were calculated.

In order to calculate the calibration coefficient more accurately, we selected the

matched data of the 1st, 11th and 21th days of each month to obtain the

calibration coefficients of 12 months. With the coefficients, the calibrated Tb

data of MWRI was used to retrieve the SIC in the subsequent work.

Satellite DMSP-F17 FY-3C

Sensor SSMIS MWRI

Orbit height(km) 850 836

Viewing angle(°) 53.1 45

AECT 5.31pm 1.40~2.00pm

Channels used in this

study:footprint

(GHz:km×km)

19.3: 70×45

22.2: 60×40

37.0: 38×30

18.7: 30×50

23.8: 27×45

36.5: 18×30

Swath width(km) 1700 1400

Table 1. Parameters comparison of F17/SSMIS and FY-3C/MWRI

The SIC operational products provided by the NSIDC were used to compare

with the retrieved result with FY-3C data.

Figure 1. Brightness temperature (19H) and observation times of Arctic and

Antarctic

Projection

The daily 14 tracks brightness temperature data of SSMIS and MWRI are

reconstructed to a polar plane grid using polar stereographic projection formulae,

respectively. Figure 1 reflects the number of observations of each pixel of polar

plane grid obtained by resampling and most of the areas are mainly concentrated

in 20-70.

Inter-sensor calibrations

Figure 2. Scatter diagrams of matched data of 3 days of March 2016

Totally 565114 pairs of brightness temperature for each channel were

compared.

The point numbers are calculated with the base 10 logarithm and displayed

according to the colorbar.

The 1:1 line is shown with black line and the established inter-sensor

calibration model is shown with red line.

The textbox lists the detailed information including the inter-sensor

calibration formula, matched data’s correlation coefficient (R), bais and

root mean square error (RMSE).

Page 2: Sea ice concentration data record over Arctic based THIS …adf5c324e923ecfe4e0a-6a79b2e2bae065313f2de67bbbf078a3.r67... · 2020. 6. 17. · RESEARCH POSTER PRESENTATION DESIGN ©

RESEARCH POSTER PRESENTATION DESIGN © 2012

www.PosterPresentations.com

(—THIS SIDEBAR DOES NOT PRINT—)

DESIGN GUIDE

This PowerPoint 2007 template produces an A0

presentation poster. You can use it to create your

research poster and save valuable time placing

titles, subtitles, text, and graphics.

We provide a series of online tutorials that will

guide you through the poster design process and

answer your poster production questions. To view

our template tutorials, go online to

PosterPresentations.com and click on HELP DESK.

When you are ready to print your poster, go online

to PosterPresentations.com

Need assistance? Call us at 1.510.649.3001

QUICK START

Zoom in and out As you work on your poster zoom in and out

to the level that is more comfortable to

you. Go to VIEW > ZOOM.

Title, Authors, and Affiliations Start designing your poster by adding the title, the names

of the authors, and the affiliated institutions. You can

type or paste text into the provided boxes. The template

will automatically adjust the size of your text to fit the

title box. You can manually override this feature and

change the size of your text.

TIP: The font size of your title should be bigger than your

name(s) and institution name(s).

Adding Logos / Seals Most often, logos are added on each side of the title. You

can insert a logo by dragging and dropping it from your

desktop, copy and paste or by going to INSERT >

PICTURES. Logos taken from web sites are likely to be low

quality when printed. Zoom it at 100% to see what the

logo will look like on the final poster and make any

necessary adjustments.

TIP: See if your school’s logo is available on our free

poster templates page.

Photographs / Graphics You can add images by dragging and dropping from your

desktop, copy and paste, or by going to INSERT >

PICTURES. Resize images proportionally by holding down

the SHIFT key and dragging one of the corner handles. For

a professional-looking poster, do not distort your images

by enlarging them disproportionally.

Image Quality Check Zoom in and look at your images at 100% magnification. If

they look good they will print well.

ORIGINAL DISTORTED Corner handles

Go

od

pri

nti

ng

qu

alit

y

Bad

pri

nti

ng

qu

alit

y

QUICK START (cont. )

How to change the template color theme You can easily change the color theme of your poster by

going to the DESIGN menu, click on COLORS, and choose

the color theme of your choice. You can also create your

own color theme.

You can also manually change the color of your

background by going to VIEW > SLIDE MASTER. After you

finish working on the master be sure to go to VIEW >

NORMAL to continue working on your poster.

How to add Text The template comes with a number of

pre-formatted placeholders for headers

and text blocks. You can add more

blocks by copying and pasting the

existing ones or by adding a text box

from the HOME menu.

Text size Adjust the size of your text based on how much content

you have to present.

The default template text offers a good starting point.

Follow the conference requirements.

How to add Tables To add a table from scratch go to the INSERT

menu and click on TABLE. A drop-down box will

help you select rows and columns.

You can also copy and a paste a table from Word or

another PowerPoint document. A pasted table may need

to be re-formatted by RIGHT-CLICK > FORMAT SHAPE,

TEXT BOX, Margins.

Graphs / Charts You can simply copy and paste charts and graphs from

Excel or Word. Some reformatting may be required

depending on how the original document has been

created.

How to change the column configuration RIGHT-CLICK on the poster background and select LAYOUT

to see the column options available for this template. The

poster columns can also be customized on the Master.

VIEW > MASTER.

How to remove the info bars If you are working in PowerPoint for Windows and have

finished your poster, save as PDF and the bars will not be

included. You can also delete them by going to VIEW >

MASTER. On the Mac adjust the Page-Setup to match the

Page-Setup in PowerPoint before you create a PDF. You can

also delete them from the Slide Master.

Save your work Save your template as a PowerPoint document. For

printing, save as PowerPoint of “Print-quality” PDF.

Print your poster When you are ready to have your poster printed go online

to PosterPresentations.com and click on the “Order Your

Poster” button. Choose the poster type the best suits your

needs and submit your order. If you submit a PowerPoint

document you will be receiving a PDF proof for your

approval prior to printing. If your order is placed and paid

for before noon, Pacific, Monday through Friday, your

order will ship out that same day. Next day, Second day,

Third day, and Free Ground services are offered. Go to

PosterPresentations.com for more information. Student discounts are available on our Facebook page.

Go to PosterPresentations.com and click on the FB icon.

© 2013 PosterPresentations.com 2117 Fourth Street , Unit C Berkeley CA 94710

[email protected]

Based on the inter-sensor calibration coefficients, the Tb at all channels of

MWRI were calibrated. After the calibration, the correlation coefficients

between amounts of F17/SSMIS and FY3C/MWRI at the 19H, 19V, 23V, 37H

and 37V channels improved from 0.9399 to 0.9855, from 0.7788 to 0.9688,

from 0.9091 to 0.9812, from 0.9097 to 0.9918, from 0.5930 to 0.8552,

respectively. The calibration effects of vertical polarization are better than those

of the horizontal polarization.

In order to verify the accuracy of the obtained SIC data, the sea ice extent (SIE)

was calculated based on the daily SIC and then compared with the result of

NSIDC. From figure 5, it can be found that the SIE change trend of the north

and south poles in the four years are basically the same as that of NSIDC

products.

Inter-sensor comparison in SIC

Figure 5. Daily SIE compared with NSIDC over Arctic and Antarctic

In this paper, the method of inversion of polar sea ice

density using FY3C satellite microwave radiometer is

studied, and the SIC data set with strong consistency with

NSIDC products is obtained, and the results are

preliminarily verified.

The results of this study lay a foundation for the release of

operational polar SIC products of China's independent

satellites, and the products can guarantee the continuity of

polar sea ice records in the past 40 years facing interruption.

Figure 3 F17/SSMIS, original FY3C/MWRI and calibrated FY3C/MWRI

brightness temperature of 1 March 2017 for each channel (left: F17/SSMIS

and original FY3C/MWRI; right: F17/SSMIS and calibrated FY3C/MWRI).

Sea ice concentration retrieval

1) National Satellite Ocean Application Service, Beijing, China

2) Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing, China

Lijian Shi1,2, Qimao Wang1,2, Bin Zou1,2, Sen Liu1,2

Sea ice concentration data record over Arctic based on Chinese satellite-borne microwave radiometer

1. The sea ice concentration of polar zone with 25km spatial resolution was

calculated with NASA Team algorithm.

2. The spectral gradient ratios GR(37/19) and GR(22/19) were used as the

weather filters.

3. The land-to-ocean spillover effect, also called land contamination, can be

removed with Parkinson et al. (1987) method

4. For the residual weather pollution and land contamination that can not be

removed by weather filter, sea ice masks were used to remove.

Figure 4. step-by-step correction results from the preliminary results of

retrieved SIC to the final results using the brightness temperature data of

August 26

a: the preliminary result of SIC inversion.

b: the result with GR(37/19) weather filter to remove the false sea ice caused

by liquid water (0.1-0.3mm) over the high latitude area.

c: the most false sea ice caused by weather effects can be removed with the

further processing with GR(22/19).

d: the result with land contamination correction method

e: the valid ice mask was used to remove the residual weather pollution and

land jurisdiction.

Conclusion

Based on the daily SIC, the monthly SIC and monthly SIC anomaly can be

calculated.

Figure 6. Monthly SIC (left) and monthly SIC anomaly (right) of Jan. 2019.