Sea ice concentration data record over Arctic based THIS...
Transcript of Sea ice concentration data record over Arctic based THIS...
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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).
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
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.