2016
1
II4
III7
10
I20
26
III30
33
36
39
41
44
46
48
51
53
57
59
III62
65
I69
I73
77
81
83
86
88
93
MATLAB95
MATLAB99
101
103
106
108
II111
II117
121
124
126
129
131
135
138
141
144
147
149
151
153
156
158
160
163
II
Fundamental Theory of Electromagnetic Field
3
4848
4
2009
1 10
1
2()
3
4
5
2 8
1
2
3
4
5
3 8
1
2
3
4
5
4 6
1
2
3
4
5
5 4
1
2
3
4
6 4
1
2
3
4
5
7 4
1
2TEMTETM
3
4
5
8 2
1
2
3
4
5
18 1
2
330%+70%
1 1980
2 1987
3 Bhag Singh Guru2000
2016 4 2
II
Fluid Dynamics II
3
484800
3
2013
()2004
1 14
12
24
32
46
2 8
12
22
34
-
3 6
12
22
32
4 6
12
22
32
5 6
12
24
6 8
1-2
22
3Rossby2
42
Rossby
-
16-80
2
310%20%70%
11999
21983
31988
41988
52002
6Pijush K.Kundu, et al. Fluid Mechanics Fourth Edition, Elsevier
Academic Press, 2010.
2016 2 28
III
Atmospheric Physics I
3
3232
3
2003
1. 1
1
2
2. 4
1
2
3
3. 6
1
2
3
//
4. 5
1
2
3
5. 16
1
2
3
4
5
6
7
12~31
2
320%30%50%
4
1J.M. Wallace, P.V. Hobbs 2008
222004
31993
4199810
2016 4 25
Atmospheric Observations
3
48 48 0 0
3
2009
1990
1 2
1.11
1
2
3
1.21
1
2
3
2 4
2.12
1
2
3
2.21
1
2
3
2.31
1
2
3
3 2
3.10.5
1
2
3.20.5
1
2
3.31
1
2
-
4 2
4.11
1
4.20.5
1
2
4.30.5
1
2
5 4
5.10.5
1
2
5.22
1
2
3
4
5.31
1
2
5.4 0.5
1
2
6 4
6.10.5
1
2
6.21
1
2
6.31
1
2
6.4 1
1
2
6.5 0.5
1
7 3
7.11
1
2
3
7.21
1
2
3
7.31
1
2
8 4
8.11
1
2
8.21
1
2
8.32
1
2
9 3
9.12
1
2
3
4
9.20.5
1
2
9.30.5
1
2
3
4E601B
E601B
E601B
10 4
10.13
1
2
3
4
5
10.21
1
2
3
4
11 3
11.11
1
2
3
11.21
1
2
3
11.31
1
2
12 4
12.11
1
2
3
12.21
1
2
3
4GPS
GPS
GPS
12.32
1
2
3
13 3
13.11
1
2
3GPS
13.21
1
2
3
13.31
1
2
14 3
14.11
1
2
3
14.21
1
2
3
14.3RASSGNSS1
1
2RASS
3GNSS
RASSGNSS
RASSGNSS
15 3
15.11
1
2
3
15.21
1
2
3
15.31
1
2
3
1 3 0
2
3
2011.
2007.
22015.
WMO,2005.
WMOGuide to Meteorological Instruments and Methods of
Observation (seventh edition),2008.
2016 4 25
IPrinciple and Method of Synoptic Meteorology I
4
64 64
4
2007
1 18
1.0 (1)
1
2
3
,
,
1.1(3)
1
2
1.2(4)
1
2
3
1.3(2)
1
2
3
1.4P(2)
1PP
2
3
4P
PP
1.5(6)
1
2
2 10
2.1(1)
1
2
2.2(2)
1
2
3
2.3(4)
1
2
2.4(1)
1
2
3
2.5(2)
1
2
3
3 16
3.11
1
2
3.23
1
2
3.36
1
2
3.44
1
2
3
3.52
1
2
3
45
4 6
4.11
1
2
4.22
1
2
3
4.30.5
1
4.40.5
1El Nino
El Nino
4.5
4.61
1
2
3
4.71
1
2
5 14
5.1(12)
1
2
3
4
5500hPa
6
7
8
9()
10
5.2(2)
1
2
1 3
2
3
1 1999
2 2006
3 2004
4 2009
5 2008
6 2010
(7) 2012
82011
9 2005
10 2005
11James R.Holton,An Introduction to Dynamic, Meteorology, Fourth
edition, Academic Press, 2004
12Toby N.Carlson,Mid-Latitude Weather Systems, American
Meteorological Society, 1998
13) Jonathan E.MartinMid-Latitide Atmospheric Dynamics,Wiley
Press, 2006
2016 7 10
Essentials of Synoptic Analysis
32
32
2
4
2016,6
1
2
(1)
(2)
(3)
2
2
1
2
3
3
2
1
2
3
4
2
1
2
3
2
1
2
3
1
2
1
2
3
2
2
1
2
3
3
2
1
2
3
9
1
2
1
2
3
2
2
1
2
3
3
2
1
2
3
1
2
1
2
3
2
2
1
2
3
3
2
1
2
3
4
2
1
2
3
5
2
1
2
3
6
2
1
2
3
/
12-3
215
3 30%70%
1,,,1993
2 2007,
2016 7 10
III
Analogue Electronic Circuits
4
6454 10
3
2005
16
1PN
2
3
4
5
212
1MOS
2
3
4
5
34
1
2
3MOS
4
49
1
2
3
4
5
59
1
2
3
6
1RC RCLC
2
3
4
74
1
2AB
3OTLOCL
84
1
2
3
4
1
1
2
3
23-61
3
1 1999
22005
3::2008
2016 4 25
1
Analogue Electronic Circuits Experiment
1
16
8
2007
1.
2.
3.
1
2
1
2
2
2
1
2
3
4
3
2
1
2
3
4
4
2
1
2
3
4
5
2
6
2
1
2
(1) 10;
(2) 20;
(3) 15;
(4) 30;
(5) 10;
(6) 15
1 2004
2 2004
3 2004
2016 4 25
Digital Circuits
3
4838,1000
4
20131
1 4
(1)
(2)
2 (6)
(1)
(2)
(3) TTL
(4) MOSTTLOC
TTL
3 (6)
(1)
(2)
(3)
4 (6)
(1)RSJKD
(2)RS
(3)
5 (8)
(1)
(2)
6 (5)
(1) 555
(2) 555
555
555
7 --(3)
(1) D/A
(2) A/DD/A
(3) AD
D/A
A/D
1 10
2
3 20%80%
(1) 3
(2) 5
(3) 5
2016 7 5
Experiments of Digital Electronic Circuits
3
10
5
2007
1
2
3
4
1
2
1
2
2
2
1
2
3
2
1
2
4
2
1DJK
2
5
4
1
274LS16310
3
510
5 40
610
740
1.
2.
3.
2016 7 5
Signals & systems
3
48 48
4
2011
18
1
2
3
28
1
2
3
4
5
310
5
6
7
8
4s10
sHs
1
2()
3
4
5
6
54
1
2
3
4
5
6zz8
zzzzzzz
1z
2Z
3Z
4Z
5Z
6
7
8
1 6
2
3
4
1.2000
2.2000
2016 7 5
Measurement Technology
2
:32 1220
5
C
2006
1 2
1.12
1
2
3
2 8
2.11
1
2.2IO1
1IO
IO
IO
2.32
1
2
:
2.4 AD2
1AD
2AD
3AD
AD
AD
2.52
1
2
3 2
3.1 1
1
2
3.2 1
1
2
1 1
2
3
1 ,,,2006
2 , ,,,,2009
3
2016 4 25
Measurement Technology
32
20
2
5
2006
2
*
PCB
2
*
IO
2
IO
*
2
*
A/D
2
ADAD
*
2
*
4
*
4
*
4
*
4
*
4
*
6
4
*
1 ,,,2006
2 , ,,,,2009
201641
Meteorological Instrument Calibration and Maintenance
3
48 3216
5
2
1 2
1
2
3
2 4
1
2
3
4
3 4
1
2
3
4
4 4
1
2
3
4
5 4
1
2
3
6 4
1
2
3
7 4
1
2
3
8 2
1
2
9 GPS2
1GPS
2GPS
GPS
GPS
10 2
1
2
12-3
2
3
5
1 20071
2 20041
3
JJG()001-2011JJG()002-2011JJG()003-2011JJG()004-2011JJG()005-2011JJG()006-2011.
2016 6 25
Meteorological Instrument Calibration and Maintenance
3
16
12
2
1
2
2
2
3
2
4
2
5
2
6
2
7
2
8
2
9
2
10
2
11
2
12
2
1
28
3
5
1 20071
2 20041
3
JJG()001-2011JJG()002-2011JJG()003-2011JJG()004-2011JJG()005-2011JJG()006-2011.
2016 4 5
The Principle of Radar and Signal Processing
3
4840 8
6
2005
2
1 4
1.1 3
1
2
3
1.2 1
1
2
3
2 (6
2.1 1
1
2
2.2 1
1
2
3
2.3 2
1
2
3
2.4 2
1
2
3
3 8
3.1 1
1
2
3
3.2 2
1
2
3
3.3 2
1
2
3
3.4 3
1
2AGCSTC
3
4 2
1
2-
5 4
1
2
3
6 2
1,
2,
7 (2)
1
2
3,
8 (4)
1
2
3,
9 (6)
9.1 2
1
2
3
9.2 2
1
2
3
9.32
1
2
10 (2)
1
2
12-3
2
3
1 2003
2 2001
2016 4 8
Radar Principle and Signal Processing
3
8
6
2005
C
1
2
2
2
3
2
4
2
5
Matlab
2
6
Matlab
2
12
2
1 2003
2 2001
3 MATLAB2003
2016 48
Atmospheric Radiation
2
3232
5
Jim CoakleyPing Yang2016
1 1
10.51
20.51
2 6
112.1
211.4
31.52.2
422.4
50.52.5
3 3
113.4
213.5
313.1
4 6
10.56
20.57
315.25.3
41.55.6-5.12
51
61.55.45.5
5 4
1-0.5
20.5
323.13.2
41
6 10
114.15
2-0.54.16
30.54.17
424.9
524.74.8
614.124.13
724.8
814.6
7 2
10.51.9
20.5
30.51.3
40.51.8
14-5
2
3
1Petty, G. W.A first course in atmospheric radiationSundog
Publishing2006
2Bohren, C. F. Clothiaux, E. E.,Fundamentals of atmospheric
radiation: an introduction with 400 problemsWiley-VCH2006;
32004
42014
52006
20164 27
III Dynamic Meteorology III
2
32 32
5
2011
2
1.1
1.2
1
2
5
2.1 1
2.2 ----1
2.3 1
2.4 1
2.5 1
1
2
3
5
3.1 1
3.2 1
3.3 1
3.4 1
3.5 P1
1RopRo
Ro
6
4.1 2
4.2 1
4.3 2
4.4 1
1
2
14
5.1 1
5.2 1
5.3 2
5.4 1
5.5 3
5.6 2
5.7 2
5.8 2
1
2Rossby
3Rossby
Rossby
1 5
2
310%20%70%
1AN INTRODUCTION TO DYNAMIC METEOROLOGY, Academic PressHOLTON J.
R. 2004Fourth Version.
21983
31983
41996
52010
2016 2 26
Mesoscale weather dynamics
1
2
32 32
6
2009
4
1.1 1
1
1.2 1
1
1.3 2
1
2
3
2
2.1 1
1
2.2 1
1
2
4
3.1 0.5
1
3.2 1
1
3.3 1
1
3.4 1
1
3.5 0.5
1
2
4
4.1 0.5
1
4.2 2
1
4.3 1
1
4.4 0.5
1
4
5.1 1
1
5.2 0.5
1
5.3 0.5
1
5.4 1
1
5.5 1
1
2
4
6.1 2
1
6.2 MCC1
1MCC
6.3 MCS1
1MCS
MCS
6
7.1 1
1
7.2 1
1
2
7.3 1
1
2
7.4 1
1
7.5 1
1
7.6 1
1
4
8.1 2
1
8.2 1
1
8.3 1
1
150
2
330%70%
1 2009
2 2008
3 2009
4 2009
5Yuh-Lang Lin, MESOSCALE DYNAMICS, CAMBRIDGE2007
2016 2 28
I
Satellite Meteorology I
4
64 64
,
2005
14
1
2
, , EOSGOESFYTRMM
27
1
2
3
4
:
:
, ,
3[9]
1
2
3
:
:
46-8
1
2
3
:
:
AVHRR MODIS MERSI VISSR AMSU MB DB() ( ) HDF--,
56
1
2
3
:
:
(0.5-0.6)1.6 ,3.9(10.5-12.5)6.5-7.2um
610
(1)
(2)
3
:
:
500hPa,
76
1
2
3
:
:
(ITCZ) --Dvorak
88
1
2
3
4 :
:
, --MCC
96-8
(1)
13-4
2
3
4
5
1-1994
21996
32004
42007
2016 4 25
IRadar Meteorology I
4
64582 22
6
22001
1234567812456
4
PPIRHIVPPI;VCP-11/21/31/32
ZZ-CompositeCAPPIETVILRainfall, Vr,SRM
4
MieRayleigh
4
:PRFPRT
ZZe
8
RmaxMDS
PPI/RHI
TBSS
6
V
4
PPICAPPI
6
M-P
Z-R
8
PRF
VAD
VAD
VAP
4
10
TVS
1
2 = 30% + 70%
1Richard J.DoviakDusan S.Zrnic 2013
22006
3 20001
4 19864
5 19916
2016 4 25
Nowcasting Prediction
2
32 26 6 16
6
20071
1 2
1.11
1
2
3
1.21
1
2
2 4
2.12
1
2
2.22
1
2
3
3 4
3.12
1
2
3.22
1
2
3
4 8
4.12
1
2
4.22
1
2
4.3 GPS/MET2
1GPS/MET
2GPS/MET
GPS/MET
4.4 V-32
1V-3
2V-3
V-3V-3
V-3
5 2
5.11
1
2
5.21
1
2
6 2
6.11
1
2
6.21
1
2
7 2
7.10.5
1
2
7.20.5
1
2
7.3 1
1
2
8 2
8.1 SWAN1
1SWAN
2SWAN
SWAN
8.21
1
2
10-1 0-1
2
3
1.2005
2.2004
3.2008
2016 6 25
Nowcasting Prediction
32
6
2
6
20071
SWAN
SWANSWAN
2
SWAN
2
SWAN
1
2
SWAN
2
2
SWAN
3
2
SWAN
1
21-2
3
1 2005
2 2004
3 2008
2016 6 25
Radar and Satellite Images Processing
2
321616
7
1 2
1/
2
3
2 2
1
2
3
3. 2
1
2CAPPIVADVVPSRM
CAPPIVADVVPSRM
4 2
1TRECSCITTITAN
2TREC
5 2
1HDF
2HDF
3
HDF
6 6
6.12
1
2
6.22
1
2
3
6.32
1
2
3
1
2
3
1 [M] 2005.
2 [M] 2001.
3 M J , G S , J R ,.[M] . : ,1998.
201621
Meteorological Radar and Satellite Image Processing Practice
32
16
2
7
2
C++
2
2
2
TREC060
2
VADMVADVWP
2
2
TITAN30
2
2
HDF
2
HDFHDF
1
2
FY-3
2
2
AIRS
3
2
AMSR-E
1
28
3
1 2016.
2 2001.
2016 4 26
Meteorological Statistical Method
2
32 24 8
6
,
2009
1 5
1.1(3)
1
2
3
4
5
1.2(2)
1
2
3
4
5
2 4
2.1(0.5)
1
2
2.2(1)
1
2
3
2.3 0.5
1
2
2.4(1)
1
2
2.5(0.5)
1
2
3
2.6(0.5)
1
2
3 6
3.1 2)
1
2
3F
4
5
3.2(2)
1
2
3
4F
5
3.3(2)
1
2F
3
4 3
4.11
1
2
3
4.20.5
1
2
4.30.5
1
2
4.40.5
1
2
4.40.5
1
5 2
5.11
1ut
2
5.21
1x2F
6 4
6.13
1
2
3
4
5
6.21
13 0
2
330%20%50%
112009
23 2010
322005
422009
2016 7 10
Meteorological Statistical Method Course Practice
32
8
2
6
2009
EOF
2
500hPa
1
2
2
2
EOF
1
A4
24
3
4
3
2
1
112009
23 2010
322009
2016 7 10
MATLABMatlab Programing
2
32 16 16
4
matlab 7Duane Hanselman2006
MatlabMatlabMatlabMatlabMatlabMatlabMatlab43MatlabMatlab
1 Matlab2
1.1 Matlab0.5
1Matlab
2Matlab
Matlab
1.2 Matlab1.5
1
2
3Matlab
Matlab
2 Matlab2
2.1 0.5
1
2
2.2 1
1
2
2.3 0.5
1
2
Matlab
3 Matlab2
3.1 1
1
2
3.2 1
1
2
4 3
4.1 0.5
1
2
4.2 1
1
2
4.3 1.5
1
2
3
4
5 3
5.1 1.5
1
2
3
5.2 1
1
2
5.3 0.5
1
2
6 Matlab4
6.1 2
1
2excel
3hdfnetcdf
4matlab
6.2 1
1
2
6.3 1
1
2
3
171
2
350%+50%
5
1 Matlab Reference Guide, The Math Works, Inc, 1993;
2 MATLAB 7MATLAB2005
3 MATLAB7 2006
2016 4 10
MATLABMatlab Programing II
32
16
2
4
MATLAB
matlab 7Duane Hanselman2006
MatlabMatlabMatlabMatlab877284Matlab4MatlabMatlabMatlab
Matlab
2
matlab
2
2
2
ifforwhile
2
Matlab
2
2
I/O
2
2
matlab
2
HDFNetcdf
2
Matlab
Matlab
2
1
27
37
1 Matlab Reference Guide, The Math Works, Inc, 1993;
2 MATLAB 7MATLAB2005
3 MATLAB7 2006
2016 4 10
Numerical Method
2
32 32 0 0
/Java
()
,2012.
(),
12
1
2
3
26
1 LarangeNewton
2 Runge
3
36
1 PicardNewton
2
3
46
1 GaussGaussLU
2Gauss
3
54
1 Gauss-SeidelJacobiSOR
2
3
62
1
2
4
1 Newton-CotesRomberg
2
3
2
1 Euler
2
3 Runge-Kutta
160
2
32080
4
5
2012
2007
Numerical Analysis(9th ed). Brookes/Cole,Berden R L, Fiaires J D
.2010.
2016 6 25
Microwave Technology and Antennas
3
4832 16 18
5
,
2012
3
1 5
(1)Smith
2
(3)
2 5
1TEMTMTE
2TETM
3()(TEM)(TEH)(TME)
3 3
1
2
3
4 3
1
(2)
(3)
5 3
1
2
3
6 5
1
2
3
7 4
1
2
3
8 4
1
2
3
14
2
3
1().2011
2. 2009
3 .,2010
4 --. 2013
5HFSS. 2011
2016 6 25
Microwave Technology and Antennas
3
16
6
.2012
4
2
2
2
2
4
14
3
1. --. 2013
2. HFSS. 2011
3. ().2011
2016 4 25
Laser Monitoring of the Atmosphere
2
3232
5
-
4
1 10
1
210
:
:
2 -3
1-Mie Lidar
2-,
3-
: -
:.
3 3
1
2
3Mie Lidar Rayleigh Lidar
:.
:.
4 4
1
2
:
:.
5 3
1
2
3
4
:
:.
6 3
1
2
3
:
:
7 3
1
2
3
:.
:
8 3
1
2
:
:.
13-4 3-4
2
330%+70%
2016 4 20
II Synoptic Processes in China II
2
3232
5
2007
6
1
1
2
3
4
5
6
2.10.5
1
2
2.21
2.34
1
2
3
2.40.5
1
2
9
3.12
1
2
3
4
5
3.25
1
2
3
4
3.31.5
1
2
3
3.40.4
1
2
3
3.50.1
1
2
3
1
2
7
4.12.5
1
2
3
3
4.20.3
1
2
3
4
4.34
1
2
3
4
5
4.40.2
1
2
3
1
2
8
5.10.5
1
2
5.20.3
1
2
3
5.31
1
2
5.40.5
1
2
3
5.50.5
1
2
3
4
5.61
1
2
2
3
5.70.2
1
2
3
4
5.84
1
2
3
3
4
5
1
2
3
4
5
6 1
6.10.6
1
2
3
6.20.4
1
2
1 5
2
330%20%50%
12013
22004
32011
41978
52003
61977
72002
8MeteorologyPublished by McGraw-HillEric W. Danielson, James
Levin, Elliot Abrams. 20032nd Edition
2016 710
IIPhysics of Clouds and Precipitation
2
32302
5
12011
12
1
2
3
22
1
2
3
Clausius-ClapeyronKelvinKhlerBergeronBergeron
Khler
32
1
2
3
44
1
2
3
54
1
2
3
Stokes
62
1
2
3
4
74
1
2
3Maxwell
Maxwell
83
1
2
3
93
1
2
3
102
1
2
3
112
1
2
3
15
2
3+
1.1989
2.1983
3.(Mason),1978
4. V. I. Khvorostyanov, and J. A. Curry, Thermodynamics,
kinetics, and microphysics of clouds. Cambridge University Press,
2014.
5. P. K. Wang, Physics and dynamics of clouds and precipitation.
Cambridge University Press, 2013.
6. D. Lamb and J. Verlinde, Physics and chemistry of clouds.
Cambridge University Press, 2011.
7. W. R. Cotton, G. H. Bryan, and S. C. Van den Heever, Storm
and cloud dynamics: the dynamics of clouds and precipitating
mesoscale systems (2nd). Academic Press, 2011.
8. H. Pruppacher and J. Klett, Microphysics of Clouds and
Precipitation (2nd). Kluwer Academic Publishers, 2004.
201675
Meteorological Information and Internet Technology
3
48 32 2716
6
,
,,,2004
1. 4
1
2
3
2. 10
1
2
3, , , , , ,
3. (4
1
2
3
4. 4
1
2
3
5. 3
1
2
3
6. 3
1,,, GPRSCDMA
2,,
3
7. 4
1
2
3
14 1
2
3(70%),(30%)
5
1 2000
2 1995
2016 4 25
Meteorological Information and Internet Technology
3
16
5
,,,2004
4
A/D
2
/
4
/
4
C
C
ARM
2
ARM
14
2
1 2000
2 2004
3 CWindows2003
2016 4 25
Multidisciplinary Applications of Meteorological Satellite
Data
2
32 26 6
6
/
()
2010
1. 2
1
2
NASA
2. 4
1
2
36
1
2
3
Look Up Table
42
1
2
5. 4
1
2
6. 4
1
2
12NDVI
7. 2
1
2
8. 2
1
2
3
4
12
2
3
12005
22010
32008
2016 6 25
Multidisciplinary Applications of Meteorological Satellite
Data
32
6
2
6
()
2010
--
2
1--
2(NASA)
4
1
2;
3
4
1
2
3
1
23
3
1()2005
2 2005
2016 6 25
Numerical Weather Prediction
2
32 32 0
7
()
2012
1 6
1.0 1
1
2
3
1.1 1
1
1.2 p1
1
1.3 2
1
2
3
1.41
1
2
1 p
2
3
1
2
2 12
2.1 2
1
2
2.2 2
1
2
2.3 2
1
2
2.4 2
1
2
2.5 2
1
2
2.6 2
1
2
3
1
2
3
4
5
1 3
2
3
3 12
3.0 1
1
2
3.12
1
2
3.21
1
2
3.34
1
2
3
4
3.42
1
2
3
4
3.52
1
1
2
3
4
1
2
4 2
4.1 1.5
1
2
3
4
4.2 0.5
1
1
2
1
12 0
2
330%70%
1, , , 1995
2, , , 1986
3, , , 1986
4, 1994
5fundamental of numerical weather prediction, Cambridge
University Press, Jean Coiffier, 2012.
2016 2 28
Weather Modification
2
3232
7
2003
12
1
2
3
26
1
2
3
34
1
2
3
42
1
2
3
54
1
2
3
62
1
2
3
7
1
2
3
84
1
2
3
92
1
2
3
102
1
2
3
1211
2
320%30%50%
1. 1992
2. Hess1985
3. 2002
4. 2005
2016 6 25
Lightning Detection
2
32 32
6
LMA
14
1
2
3
4/
5
24
1
2
3
4
VLF/ELF
34
1
2
3
4
5
44
1/
2/
3/
4/
510
1
2VHF/TOA
3VHF/TOA
4VHF/IFT
TOA
VHF
66
1
2OTDLIS
3FORTE/
4
OTDLIS
FORTE/
1161
2
330%+70%
2003
2006
2015
2016415
Advances in Atmospheric Sounding
2
32 32
7
1 2
1
2
3
2 2
1
2
3
3 4
1
2
4 2
1
2
5 2
1
2
3
6 2
1
2
3
7 2
1
2
3
8 2
1
2
9 4
1
2
10 2
1
2
11 6
1
2
3
12 2
1
2
3
1
2
3
12005
22001
2016 6 25
Graduation DesignDissertation
12
12
78
:
1
1
2
2
()()()
3
4
125
2150300
335
4
541/51/4
6
7()
101-02
203-04
305-08
409-10
511-12
40%30%30%A()90B()80-89C()70-79D()60-69E()59
A()
B()
C()
D()
E()
1
2
3
2016 4 27
Graduation Practice
4
4
8
1
1.
2.
3.
30
1
21
3
2016427
Practice about Understanding Major
1
1
1
CC
4
C
4
4
4
1
21
3
2016 427
Comprehensive Practical Training on Radar Meteorology
2
32
4
2010
,,,,
1
4
2
4
1
3
1
4
4
1
4
12
5
2
4
6
2
4
3
7
PPI
4
MATLABPPIPPI360PPIZ-R4.
8
4
1
24
3
12008
22008
2016 4 5
Comprehensive Practical Training on Satellite Meteorology
2
32
10
, 2016
,
102-4
1
2
2
VL- Websites
2
VL1-2
3
2
4
2
--
5
2
6
2
7
2
8
2
9
2
10
2
11
2
12
:
2
13
:
2
14
:
2
15
:
2
1
210
310
1 . 201120122015
2 . 2005
3 . -1994
2016 6 25
AtmosphericObservations Practice
1W
1
1234
1
2
1)
2
2h
SYNOP
4 h
1) 2
4 h
1) 2
2 h
1
2 h
2
2 h
1
2
3
.
1. . . 2003
2. ..2011
3. . . 1999
4. ..2005
5. . . 2014.
2016 5 26
Laser Radar Practice
1
1W
6
2
-
1
2
2
4
Mie
3
2
4
4
5
2
6
2
5
Lidar:Range-Resolution Optical Remote Sensing of the Atmosphere,
H. Walther, Springer,2005
2016 4 5
Comprehensive Practice of Weather Forecasting
2
2
7
2013
MICAPS
1micaps
2
3micaps
1:30~16:30
4
1
2500hPa
3500hPa
1:30~16:30
4
1
2500hPa700hPa850hPa
312-36500hPa700hPa850hPa
1:30~16:30
4
1
2
3
1:30~16:30
4
1
2
3
1:30~16:30
4
1
2
3
1:30~16:30
4
1
2
3
1:30~16:30
4
1
2
3
1:30~16:30
4
1
25
3
12006
2 2007
3 2009
42008
51997
6SanturetteWeather Analysis and ForecastingApplying Satellite
Water Vapor Imagery and Potential Vorticity AnalysisAcademic
Press2005
2016 1 20
Applications of Atmospheric Remote Sensing softwares
2
2W
8
8
2
6SMODTRAN
1
6S
4
6S ,
2
6S
4
6S
3
6S
4
6S
4
MODTRAN
4
MODTRAN 3
5
MODTRAN
4
MODTRAN
6
MODTRAN
4
MODTRAN 3
7
ENVI
4
()
8
ENVI
4
35
1
2
1 6S Tanre D.Vermote E.1997.
2 MODTRAN 3.7Spectral Sciences Inc. and US Air Force Research
Labortory; Berk, Alexander, Bernstein, Lawrence S., Robertson,
David C. , 2002.
3 ENVI, ; , 2007
2016 4 7
163
dt
d
dt
d
a
-
V
t
dt
d
v
2
h
H
t
d
d
t
h
p
s
